South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
DATE AND SIGNATURES PAGE
The effective date of this Technical Report is February 23, 2022. The issue date of this Technical Report is March 14, 2022.
(Signed) “Matthew Sletten” | | March 14, 2022 |
Matthew Sletten, PE | | Date |
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(Signed) “Benjamin Bermudez” | | March 14, 2022 |
Benjamin Bermudez, PE | | Date |
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(Signed) “Art S Ibrado” | | March 14, 2022 |
Art S. Ibrado, PE | | Date |
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(Signed) “Michael S. Lindholm” | | March 14, 2022 |
Michael S. Lindholm, CPG | | Date |
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(Signed) “Thomas L. Dyer” | | March 14, 2022 |
Thomas L. Dyer, PE | | Date |
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(Signed) “Jordan M. Anderson” | | March 14, 2022 |
Jordan M. Anderson, QP RM-SME | | Date |
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(Signed) “Gary L. Simmons” | | March 14, 2022 |
Gary L. Simmons, QP-MMSA | | Date |
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(Signed) “Richard DeLong” | | March 14, 2022 |
Richard DeLong, QP MMSA, RG, PG | | Date |
| | |
(Signed) “Kevin Lutes” | | March 14, 2022 |
Kevin Lutes, PE | | Date |
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
SOUTH RAILROAD PROJECT
FORM 43-101F1 TECHNICAL REPORT
TABLE OF CONTENTS
SECTION | PAGE |
DATE AND SIGNATURES PAGE | i |
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TABLE OF CONTENTS | ii |
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LIST OF APPENDICES | iv |
1 | EXECUTIVE SUMMARY | 1-1 |
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2 | INTRODUCTION | 2-1 |
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3 | RELIANCE ON OTHER EXPERTS | 3-1 |
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4 | PROPERTY DESCRIPTION AND LOCATION | 4-1 |
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5 | ACCESSIBILITY, CLIMATE, LOCAL RESOURCES, INFRASTRUCTURE AND PHYSIOGRAPHY | 5-1 |
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6 | HISTORY | 6-1 |
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7 | GEOLOGICAL SETTING AND MINERALIZATION | 7-1 |
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8 | DEPOSIT TYPES | 8-1 |
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9 | EXPLORATION | 9-1 |
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10 | DRILLING | 10-1 |
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11 | SAMPLE PREPARATION, ANALYSES AND SECURITY | 11-1 |
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12 | DATA VERIFICATION | 12-1 |
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13 | MINERAL PROCESSING AND METALLURGICAL TESTING | 13-1 |
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14 | MINERAL RESOURCE ESTIMATES | 14-1 |
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15 | MINERAL RESERVE ESTIMATES | 15-1 |
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16 | MINING METHODS | 16-1 |
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17 | RECOVERY METHODS | 17-1 |
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18 | PROJECT INFRASTRUCTURE | 18-1 |
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19 | MARKET STUDIES AND CONTRACTS | 19-1 |
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20 | ENVIRONMENTAL STUDIES, PERMITTING AND SOCIAL OR COMMUNITY IMPACT | 20-1 |
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
21 | CAPITAL AND OPERATING COSTS | 21-1 |
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22 | ECONOMIC ANALYSIS | 22-1 |
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23 | ADJACENT PROPERTIES | 23-1 |
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24 | OTHER RELEVANT DATA AND INFORMATION | 24-1 |
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25 | INTERPRETATION AND CONCLUSIONS | 25-1 |
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26 | RECOMMENDATIONS | 26-1 |
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27 | REFERENCES | 27-1 |
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
LIST OF APPENDICES
APPENDIX | DESCRIPTION | PAGE |
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A | FEASIBILITY STUDY CONTRIBUTORS AND PROFESSIONAL QUALIFICATIONS – CERTIFICATES OF QUALIFIED PERSONS | A-1 |
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B | CLAIMS LIST | B-1 |
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C | BREAKDOWN OF MINERAL RESOURCES BY AREA AND OXIDATION STATE | C-1 |
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
SECTION 1 TABLE OF CONTENTS
SECTION | PAGE |
1 | SUMMARY | 1-1 |
| 1.1 | PRINCIPAL FINDINGS | 1-1 |
| 1.2 | PROPERTY DESCRIPTION AND OWNERSHIP | 1-2 |
| 1.3 | EXPLORATION AND MINING HISTORY | 1-3 |
| 1.4 | GEOLOGY AND MINERALIZATION | 1-3 |
| 1.5 | DATA VERIFICATION | 1-4 |
| 1.6 | PROCESSING AND METALLURGICAL TESTING | 1-5 |
| 1.7 | RECOVERY METHODS | 1-6 |
| 1.8 | MINERAL RESOURCE ESTIMATE AND MINERAL RESERVE ESTIMATE | 1-6 |
| | 1.8.1 | Mineral Resource Estimate | 1-6 |
| | 1.8.2 | Mineral Reserve Estimate | 1-8 |
| 1.9 | MINING METHODS | 1-9 |
| 1.10 | INFRASTRUCTURE | 1-9 |
| 1.11 | ENVIRONMENT AND PERMITTING | 1-9 |
| 1.12 | WATER MANAGEMENT | 1-10 |
| 1.13 | CAPITAL COST SUMMARY | 1-11 |
| 1.14 | OPERATING COST SUMMARY | 1-11 |
| 1.15 | CONCLUSIONS AND RECOMMENDATIONS | 1-12 |
SECTION 1 LIST OF TABLES
TABLE | DESCRIPTION | PAGE |
Table 1-1: | Key Project Data | 1-1 |
Table 1-2: | Summary of Leach Tests Performed | 1-5 |
Table 1-3: | Dark Star, Pinion, Jasperoid Wash and North Bullion Estimated Mineral Resources | 1-7 |
Table 1-4: | Proven and Probable Mineral Reserves | 1-8 |
Table 1-5: | Capital Expenditure Schedule | 1-11 |
Table 1-6: | LOM Operating Costs | 1-11 |
Table 1-7: | Economic Analysis Summary | 1-12 |
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
This Technical Report (“Technical Report”) has been prepared by M3 Engineering and Technology Corporation (“M3”) with Gold Standard Ventures Corp. (“Gold Standard” or “GSV”) in accordance with the National Instrument 43-101F1 Standards of Disclosures for Mineral Projects (“NI 43-101”). The Technical Report presents the results of the South Railroad feasibility study (“FS”), incorporating new design-work, scheduling, and projected costs, in support of mineral resource and mineral reserve estimates in the Dark Star and Pinion gold deposits.
Gold Standard’s Railroad Pinion property is located in the Bullion mining district of the southern Carlin trend in Nevada. The property has two adjacent parts, the North Railroad portion (“North Railroad”), which includes POD, Sweet Hollow, South Lodes and North Bullion (collectively called the North Bullion deposits, or the North Bullion area), and the South Railroad portion (“South Railroad”), which includes Dark Star, Pinion, and Jasperoid Wash.
Gold Standard has drilled, or received assays, for 127 new holes since the effective dates of the databases for the respective deposits on the Railroad-Pinion property. In many cases, assay results were delayed significantly past the effective dates due to the COVID-19 pandemic. That drilling was primarily focused on obtaining metallurgy samples, generating geotechnical data, construction of water and monitor wells, infilling within modeled areas, or for exploration of secondary targets. The new drilling in the Dark Star, Pinion, North Bullion and Jasperoid Wash areas were evaluated with respect to the resource models and it was determined there would be minimal to no impact on estimated volumes and grades as reported within optimized pits in this Technical Report.
Extensive metallurgical testing has been completed for the Dark Star and Pinion deposits. On the other hand, the North Railroad portion of the property has not been tested comprehensively for metallurgical response.
Gold Standard reports mineral reserves for Dark Star and Pinion deposits in this Technical Report. The FS, which includes the mine schedule, process-plant design, and financial analysis, covers only these two deposits.
The proposed project is an open-pit gold mine operation that will deliver ore to a 71.9 million-ton heap leach facility over 8 years of mine life. The heap leach facility will treat Run-of-Mine (ROM) ore via leaching on a dedicated leach pad with cyanide-bearing solution.
Gold Standard selected M3 and other third-party consultants to prepare mineral resource/reserve estimates, mine plans, process plant design, and to complete environmental studies and cost estimates used for this Technical Report. All consultants have the capability to support the project, as required and within the confines of their expertise, from feasibility study to full operation.
The key project parameters and findings are presented in Table 1-1, including a summary of the project size, productions, capital and operating costs, metal prices, and financial indicators.
Table 1-1: Key Project Data
Mine Life | 8 Years + pre-strip (6 months) |
Mine Type | Open Pit |
Process Description | ROM heap leach Gold/silver recovery by ADR plant & Refinery, dual carbon column trains |
Total Mineral Reserve Estimate | 71.9 M Tons |
Average Grade | 0.022 oz Au/ton; 0.154 oz Ag/ton (Pinion – Representing 39.7 M tons of ore) |
Contained Gold / Silver Ounces | 1.604 M oz Au; 6.137 M oz Ag (Pinion) |
Average Recovery | ROM: 64.5% Au, 10.8% Ag |
Average Annual Tons Moved | 44 Million Tons |
Annual Mineral Reserve Estimate | 8.8 Million Tons |
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Strip Ratio | 4.10:1 |
Process (ROM) Throughput (tons/day) | 32,700 (Design); 24,700 (Average) |
Initial Capital Expenditures | $190.2 M |
Sustaining Capital Expenditures | $186.7 M |
| |
Payable Metals | |
Gold, oz | 1,030,000 |
Silver, oz | 651,000 |
| |
Unit Operating Costs | |
Average Life of Mine (“LOM”) Mining Costs | $1.68 / ton mined |
Average LOM Processing Costs | $2.05 / ore ton |
G & A | $0.53 / ore ton |
Refining | $0.07 / ore ton |
Cash Costs | $794 / oz Au |
Cash Costs After By-Product Credit | $792 / oz Au |
All in Sustaining Costs (“AISC”) | $1,021 / oz Au |
Financial Indicators | Spot Price (Au) (Feb 22, 2022) | Base +150 | Base Case | Base -150 | Base -250 |
Gold Price (per troy oz) | $1,899 | $1,800 | $1,650 | $1,500 | $1,400 |
Silver Price (per troy oz) | $21.50 | $21.50 | $21.50 | $21.50 | $21.50 |
Pre-tax Cash Flow, $M | $753.9 | $651.9 | $497.3 | $342.8 | $239.8 |
Pre-tax NPV (5%) in $M | $603.0 | $517.9 | $388.9 | $259.9 | $173.9 |
Pre-tax Internal Rate of Return (IRR) | 68.2% | 60.8% | 49.2% | 36.5% | 27.2% |
Pre-tax Payback (Years) | 1.6 | 1.7 | 1.9 | 2.1 | 2.4 |
After-tax Cash Flow, $M | $606.3 | $526.1 | $403.2 | $280.9 | $199.0 |
After-tax NPV (5%) in $M | $486.4 | $418.7 | $314.8 | $211.2 | $141.6 |
After-tax IRR | 62.1% | 55.3% | 44.3% | 32.6% | 24.0% |
After-tax Payback (Years) | 1.6 | 1.7 | 1.9 | 2.2 | 2.4 |
The effective date of this FS is February 23, 2022, and the issue date of the Technical Report is March 14, 2022. The effective dates of the Pinion and Dark Star databases on which the mineral resources described in this Technical Report are estimated on, are June 2, 2021 and June 15, 2021, respectively. The effective date of the Jasperoid Wash database is October 6, 2018, and the effective date of the North Bullion deposits database is August 21, 2020. New optimized pits and underground shells were generated using current mining costs in 2022, so the effective dates of the reported mineral resource estimates for all deposits is January 31, 2022.
1.2 | Property Description and Ownership |
The primary site access for South Railroad will be from Elko, NV using a 41.7-mile access route. This 41.7-mile route begins from its intersection with 12th Street in Elko, NV and continues approximately 5.5 miles along the existing paved State Route (SR) 227 (i.e., Lamoille Highway) to the intersection with SR 228 (i.e., Jiggs Highway). The route continues south along paved SR 228 for another 5.5 miles to the paved Elko County Road 715 (i.e., South Fork Road). The route follows southward along County Road 715 approximately 5.7 miles to the intersection with County Road 715B (i.e., Lucky Nugget Road/Grant Avenue). From this intersection, the route follows County Road 715B approximately 3.1 miles along the west shore of South Fork Reservoir through a semi-rural residential area to the intersection with BLM Road 1119, which continues southwest approximately 6 miles to its intersection with Elko County Road 720 (i.e., Bullion Road). The route follows the Bullion Road southwest approximately 10 miles to the intersection with the un-improved BLM Road 1053, then continues southward following the approximate alignment of BLM Road 1053 along the eastern flank of the Pinion Range approximately 6 miles to the South Railroad Project). The property is centered approximately at UTM NAD27 Zone 11 coordinates of 585,000E and 4,480,000N.
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Gold Standard’s contiguous North and South Railroad portions of the Railroad-Pinion property constitute a combined land position totaling 53,570 acres in Elko County, Nevada, centered approximately at UTM NAD27 Zone 11 with coordinates of 585,000E and 4,480,000N. This includes 1,454 claims owned by Gold Standard and 207 claims held under lease, a total of 30 claims are patented. There is also a total of 23,630 gross acres of private lands of which Gold Standard’s ownership of the subsurface mineral rights varies from 49.2% to 100%.
1.3 | Exploration and Mining History |
The Railroad–Pinion property is being explored on an ongoing basis by Gold Standard using geological mapping, geochemical and geophysical surveying, and drilling. Exploration work by Gold Standard commenced in 2010 and has resulted in the identification of 17 prospect areas or zones of mineralization within the property.
Twenty-one different historical operators are known to have drilled 1,084 holes, for a total of 500,544. 1 ft, from 1969 through 2008. As of the database effective dates, Gold Standard has drilled 1,121 holes for a total of 953,112 ft. At least 80% of all drilling used RC methods. However, the amount of RC drilling may be understated because the hole- types are not known for a substantial number of holes drilled in the late 1980s and 1990s, when RC drilling was common.
1.4 | Geology and Mineralization |
The Railroad-Pinion property is located in the southern portion of the Carlin trend, centered on the Railroad dome in the Piñon Range, which is comprised of Ordovician through Permian marine sedimentary rocks. Eastern assemblage formations throughout the property include the Pogonip, Hanson Creek, Eureka Quartzite, Lone Mountain Dolomite, Oxyoke, Beacon Peak, Sentinel Mountain Dolomite, and Devils Gate Limestone and Tripon Pass formations. Siliceous clastic units include those of the Webb, Chainman, and Tonka formations. The north-south-striking Bullion fault corridor separates Tertiary volcanic rocks to the east from the Paleozoic sedimentary units in the range, which have been intruded by a complex of Eocene igneous rocks centered south of Bald Mountain, in the core and east flank of the range.
The gold-silver deposits within the Railroad-Pinion property that are the focus of this Technical Report are considered to be Carlin-type, sedimentary-rock-hosted deposits. Precious metal mineralization is generally submicroscopic, disseminated, and hosted principally in sedimentary rocks, with some mineralization in felsic dikes and sills as well.
In the South Railroad portion of the property, the Dark Star Main (“Dark Star Main”) and Dark Star North (“Dark Star North”) zones, which comprise the Dark Star deposit are hosted primarily within Pennsylvanian-Permian rocks, with minor amounts of gold mineralization found in the Chainman Formation and Tertiary conglomerates. The deposits are centered along the roughly north-south Dark Star fault corridor, within which is a horst block and associated silicified zone bounded by the West fault and Dark Star fault. Gold mineralization in the horst block is hosted in the middle, coarse-grained conglomeratic and bioclastic limestone-bearing unit of a Pennsylvanian-Permian undifferentiated sequence interpreted to be equivalent to the Tomera Formation. Mineralization dips steeply to the west near the surface at Dark Star Main and Dark Star North, but dips less steeply at depth at Dark Star Main.
Also, in the South Railroad portion of the property, the Pinion deposit is situated in a sequence of Paleozoic sedimentary rocks exposed within large horst blocks in which the sedimentary rocks have been broadly folded into a south- to southeastward-plunging, asymmetric anticline. The axis of this Pinion anticline trends approximately N50ºW to N60ºW and can be traced for approximately 2.0 mi (3.2 km). The limbs of the anticline dip shallowly at 10° to 25° to the west, and more steeply at 35° to 50° to the east. Disseminated gold and silver mineralization at the Pinion deposit is strongly controlled by a 10 ft to 400 ft-thick (3 m to 120 m-thick) dissolution-collapse breccia at the contact between calcarenite of the Devils Gate Limestone and the overlying silty micrite of the Tripon Pass Formation. Gold deposition was contemporaneous with breccia development, quartz veins formation, silica ± barite replacement and infill of open spaces.
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The Jasperoid Wash disseminated gold deposit, also located in the South Railroad portion of the property, is hosted by altered Tertiary feldspar porphyry dikes and their host Pennsylvanian-Permian conglomeratic rocks of a Tomera Formation equivalent. The deposit has approximate extents of 4,600 ft (1,400 m) to the north and a width of about 3,600 ft (1,100 m), and is partially contained within an elongate, north to south, steeply dipping structural corridor. Drilling shows the deposit dips steeply to the west nearby and within Tertiary dikes; east of the dikes, the deposit dips gently to the west. The gold is Inferred to be submicroscopic in grain size, however, petrographic studies have yet to be performed.
In the North Railroad portion of the property, disseminated gold mineralization has been defined by drilling in the North Bullion, POD, and Sweet Hollow zones. The mineralization is focused in the footwall of the Bullion fault zone. Faults appear to be important controls on mineralization. In general, gold-silver mineralization is localized in gently to moderately dipping, strongly sheared rocks of the Webb and Tripon Pass formations, in dissolution-collapse breccia developed above and within silty micrite of the Tripon Pass Formation, and calcarenite of the Devils Gate Limestone. The top of gold mineralization varies from 350 ft to 1,300 ft (105 m to 400 m) below the surface and varies in dip from 10° to 45° to the east. Gold is associated with “sooty” sulfide minerals, silica, carbon, clay, barite, realgar, and orpiment.
Mr. Lindholm is satisfied that the Pinion, Dark Star, Jasperoid Wash and North Bullion drilling databases are in good condition. Various audits and checks were performed by Mine Development Associates Inc., a division of RESPEC, LLC (“MDA”) to verify collar coordinates, down-hole deviation surveys, geology and assay data in the drill-hole database. All Gold Standard gold assay data was verified using digital laboratory certificates. However, about one third of the Pinion assays and one quarter of the Dark Star assays from historical drill campaigns were unsupported with original assay certificates. The same is true at North Bullion, where Gold Standard drilling makes up only 28% of the database, almost all of which is in the North Bullion deposit. The drill-hole data at the POD, Sweet Hollow and South Lodes deposits is almost entirely historical. Drill-hole data lacking adequate supporting documentation, as well as data from holes observed during sectional modeling to be inconsistent with surrounding holes, were treated as lower confidence, or excluded from use in modeling and estimation.
In 2019, Gold Standard supplemented their Pinion silver database with re-assayed individual samples for which composites of multiple intervals had previously been analyzed. Over 50% of the original certificates were available for all silver data and were used for verification. Quality assurance/quality control (“QA/QC”) data was also evaluated, and the silver data was deemed acceptable for use in estimation of classified mineral resources.
There is no evidence of significant historical QA/QC programs for drilling prior to 2014. For Gold Standard programs at Dark Star, Pinion and Jasperoid Wash, the QA/QC program was minimal in 2014 through 2016 but was more comprehensive in 2017 to 2020. Similarly at North Bullion, over the full-time span of the Gold Standard drilling from 2010 to 2012 there is a reasonable implementation of QA/QC protocols, but during some periods of time it is less substantial. The results and amount of QA/QC data, as well as non-remedied QA/QC “failures,” were considered in mineral resource classification for the Dark Star, Pinion, Jasperoid Wash and North Bullion deposits. Mr. Lindholm concludes that the Dark Star, Pinion, and Jasperoid Wash analytical data are adequate for the purposes used in this Technical Report, subject to issues described in Section 12.
Cyanide-soluble gold assays at Dark Star and Pinion were verified, but no QA/QC data was available for evaluation. Carbon and sulfur species data were audited and determined to be adequate for use in their respective estimates done for waste handling and metallurgical characterization. No QA/QC data was associated with the carbon and sulfur analyses.
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Barium was estimated in the Pinion deposit block model for metallurgical characterization. Barium analyses were done using pressed-powder energy-dispersive x-ray fluorescence (“XRF-ED”) and loose-powder NITON XRF analytical methods. These methods were evaluated by running additional analyses on duplicate pulp samples by various methods. After evaluating the reliability and relationship of barium assays produced by the two methods, and verification of the data, the data was used to model and estimate NITON XRF-derived barium grades.
1.6 | Processing and Metallurgical Testing |
The current study of the South Railroad portion of the Railroad-Pinion project focuses on two main sources of ore, for which mineral reserves are declared: The Pinion and Dark Star deposits. These deposits have different geo- metallurgical characteristics, which are briefly summarized as follows:
The Pinion deposit can be characterized as hard and abrasive material, with a steep feed P80 vs. gold recovery response. Much of the gold is contained in the rock ground mass and requires fine crushing (-1/4” inch) to liberate gold for the most efficient cyanide-leach extraction. Gold recovery has proven to be sensitive to high barite/silica content in the mulilithic breccia (mlbx) ore type. Gold recovery from the high-barite/silica materials benefits the most from fine crushing. This deposit can be heap leached without crushing, at low gold recovery, conventionally crushed and leached at modestly higher gold recovery, or HPGR-crushed at higher gold recovery.
The Dark Star deposit can be characterized as hard and moderately abrasive material, with a flat feed P80 vs. gold recovery response. Most of the gold is contained in fractures that have been oxidized and accessible to cyanide solutions that easily pass through the rock matrix. Consequently, high gold extractions are achieved at coarse particle size, requiring no crushing prior to heap leaching.
A large number of variability and master composites (mostly from PQ core) were selected by Gold Standard Ventures for feasibility level testing on the Dark Star and Pinion Deposits. Standard metallurgical testing protocols consisted of bottle roll leach testing at 80 percent passing (P80) size targets of 75 microns (200 mesh) and 1,700 microns (10 mesh), and column leaching testing at various P80 sizes ranging from 0.375 inch to 1.0 inch (9.5 mm to 25 mm). Additional composites were crushed using High Pressure Grinding Rolls (HPGR), at medium press force, and subjected to column leaching. The total number of metallurgical tests, by deposit, is presented in Table 1-2 below.
Table 1-2: Summary of Leach Tests Performed
Test Procedure | Number of Tests |
Dark Star | Pinion |
Bottle Roll P80 Target = 75 microns (200 mesh) | 121 | 195 |
Bottle Roll P80 Target = 1,700 microns (10 mesh) | 121 | 207 |
Conv. Crush Columns P80 Target = 0.375-1.0 inch (9.5-25 mm) | 99 | 90 |
HPGR Crush Columns P80 Target = 0.20-0.24 inch (5-6 mm) | 11 | 23 |
ROM heap leach head grade vs. gold recovery models were developed for Dark Star and Pinion and silver recovery models were developed for Pinion. Silver recovery was not modelled for Dark Star as silver grades are too low to be of economic significance.
Due to the multiple material types, and the dependence of gold recoveries on head grades and crush size, 71 gold and silver recovery vs head grade equations were developed, along with recovery vs solution-to-ore ratio equations. Of the recovery equations, 28 are for Pinion oxide and transition ROM ores and 16 are for Dark Star oxide and transition ROM ores. The recovery equations can be found in Section 13 of this Technical Report.
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The gold and silver recovery equations for each ore type were delivered to the mine modelers for incorporation into the block calculations.
The overall life-of-mine ROM average gold recovery for the Dark Star deposit is estimated at 71.9 percent and the Pinion deposit is estimated at 56.3 percent.
The major reagent consumptions for heap leaching of Pinion and Dark Star ore have been taken from available metallurgical test results from column leach tests on crushed material. No test data exists at the ROM particle size, so the selected reagent consumptions have been estimated based on test results on the coarsest samples tests 1.5 inch (37 mm). Cyanide consumptions have been estimated at 0.44 lb/ton (0.22 kg/tonne) for Pinion and 0.46 lb/ton (0.23 kg/tonne) for Dark Star. Lime consumption is estimated at 2.0 lb/ton (1.0 kg/tonne) for both Pinion and Dark Star ores.
The process selected for recovery of gold and silver from the Pinion and Dark Star ore is a conventional ROM heap leach. Oxide and transition ore types will be mined by standard open pit mining methods from two separate pits. The ore will be truck-stacked on the heap as ROM ore directly, without crushing, in 30-foot lifts. Lime will be added directly to the haul trucks for pH control.
The stacking rate will be in accordance with the mine plan. The ROM ore placement is equivalent to a LOM average of 24,700 tons per day, with the peak in Year 5 of an average of 32,700 tons per day.
Gold and silver in the stacked ore will be leached with a dilute cyanide solution using a drip irrigation system at application rates in the range of 4,800-6,100 gallons per minute. The leached gold and silver will be recovered from solution using a carbon adsorption circuit. The gold and silver will be stripped from carbon using a desorption process, followed by electrowinning to produce a precipitate sludge. The precipitate sludge will be processed using a retort oven for drying and mercury recovery, and then refined in a melting furnace to produce gold and silver doré bars.
1.8 | Mineral Resource Estimate and Mineral Reserve Estimate |
1.8.1 | Mineral Resource Estimate |
The estimated mineral resources presented in this Technical Report were classified in order of increasing geological and quantitative confidence into Inferred, Indicated, and Measured categories to be in accordance with the “CIM Definition Standards - For Mineral Resources and Mineral Reserves” (2014) and therefore Canadian National Instrument 43-101. Mineral resources are reported at cutoffs that are reasonable for deposits of this nature given anticipated mining methods and plant processing costs, while also considering economic conditions, because of the regulatory requirements that a mineral resource exists “in such form and quantity and of such a grade or quality that it has reasonable prospects for eventual economic extraction.”
MDA modeled geology and metal domains for the Dark Star, Pinion, and Jasperoid Wash deposits, then estimated and classified gold mineral resources. A silver estimate was also produced for the Pinion deposit. Gold Standard provided the geologic modeling for the various deposits and were intimately involved with metal domain modeling. Block sizes were 30 ft x 30 ft x 30 ft for Dark Star and Pinion, and 20 ft x 20 ft x 20 ft for Jasperoid Wash. The block size for modeling and estimation at the North Bullion deposits model was 10 ft x 10 ft x 10 ft for evaluation of underground potential, but reblocked to 30 ft x 30 ft x 30 ft to optimize open pits. Estimation was done using inverse-distance methods with powers ranging from two to four. Multiple models were estimated in order to optimize the estimation parameters.
The estimate of mineral resources for the Railroad-Pinion property is the block-diluted inverse-distance estimate and is reported at variable cutoffs for open-pit and underground mining. The cutoff for oxidized and transitional redox material in an open pit is 0.005 oz Au/ton, whereas the cutoff for sulfide material is 0.045 oz Au/ton. Potential sulfide
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underground resources, present only at the North Bullion deposit, are reported at a cutoff of 0.100 oz Au/ton. Mineral resources were classified as Measured, Indicated or Inferred for each deposit separately. Factors considered for classification include results of data verification and QA/QC results, the level of geologic understanding of each deposit, and performance of past mineral resource block models with new drilling. Table 1-3 presents the optimized pit- and underground grade shell-constrained estimated mineral resources for the Dark Star, Pinion, Jasperoid Wash and North Bullion deposits based on a $1,750/oz gold price. Mineral resources that are not mineral reserves do not have demonstrated economic viability.
Table 1-3: Dark Star, Pinion, Jasperoid Wash and North Bullion Estimated Mineral Resources
Dark Star Mineral Resources |
| Cutoff | | | |
| oz Au/ton | Tons | oz Au/ton | oz Au |
Measured* | 0.005 | 7,964,000 | 0.036 | 288,000 |
Indicated* | variable** | 27,081,000 | 0.023 | 625,000 |
Measured & Indicated* | variable** | 35,045,000 | 0.026 | 913,000 |
Inferred | variable** | 1,296,000 | 0.015 | 19,000 |
*Mineral resources are inclusive of mineral reserves |
**Cutoff for oxide and transitional resources is 0.005 oz Au/ton, and for sulfide resources at 0.045 oz Au/ton |
Pinion Mineral Resources |
| Cutoff | | | | | |
| oz Au/ton | Tons | oz Au/ton | oz Au | oz Ag/ton | oz Ag |
Measured* | 0.005 | 2,575,000 | 0.021 | 55,000 | 0.19 | 488,000 |
Indicated* | 0.005 | 45,408,000 | 0.018 | 816,000 | 0.15 | 6,617,000 |
Measured & Indicated* | 0.005 | 47,983,000 | 0.018 | 871,000 | 0.15 | 7,105,000 |
Inferred | 0.005 | 1,299,000 | 0.012 | 15,000 | 0.07 | 92,000 |
*mineral resources are inclusive of mineral reserves |
Jasperoid Wash Mineral Resources |
| Cutoff | | | |
| oz Au/ton | Tons | oz Au/ton | oz Au |
Inferred | 0.005 | 13,160,000 | 0.01 | 130,000 |
| | | | |
North Bullion Inferred Mineral Resources |
| Cutoff | | | |
| oz Au/ton | Tons | oz Au/ton | oz Au |
North Bullion Open Pit | variable* | 3,214,000 | 0.107 | 345,000 |
North Bullion Underground | 0.100 | 504,000 | 0.131 | 66,000 |
Sweet Hollow | variable* | 2,884,000 | 0.016 | 45,000 |
POD | variable* | 1,459,000 | 0.06 | 87,000 |
South Lodes | 0.005 | 800,000 | 0.016 | 13,000 |
**Cutoff for open pit oxide and transitional resources is 0.005 oz Au/ton, and for sulfide resources at 0.045 oz Au/ton |
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Barium was estimated into the Pinion deposit block model for use in metallurgical characterization of the Pinion mineralized material. The average barium grade is ~2.25% for the gold mineralization grading at least 0.005 oz Au/ton. Factoring between barium analytical results were required, which added some uncertainty to the model.
Cyanide-soluble gold block models were produced for the Pinion and Dark Star deposits. These estimates appear reasonable in areas with Gold Standard drilling, however, there is less confidence in some areas where cyanide-soluble gold data is lacking, such as where historical drilling is predominant.
An acid-base accounting (“ABA”) model was generated for Pinion and Dark Star to characterize waste material for mine planning and handling. An organic carbon model was also produced to evaluate effects on metallurgy at Pinion. Because of limited data, these estimates can only be considered as guides for environmental planning and metallurgy.
1.8.2 | Mineral Reserve Estimate |
Measured and Indicated mineral resources were used as the basis to define mineral reserves for both the Dark Star and Pinion deposits. Mineral reserve definition was done by first identifying ultimate pit limits using economic parameters and applying pit optimization techniques. The resulting optimized pit shells were then used for guidance in pit design to allow access for equipment and personnel. Modifying factors including mining, processing, metallurgical, infrastructure, economic, marketing, legal, environmental, social, and governmental factors have been applied in the estimate of mineral reserves.
RESPEC provided the final production schedule to M3 who developed the final cash-flow model which demonstrates that the Pinion and Dark Star deposits make a positive cash flow and are reasonable with respect to statement of mineral reserves for these deposits.
The total Proven and Probable mineral reserves reported for the FS are shown in Table 1-4. Within the designed pits there are a total of 294.5 million tons of waste associated with the in-pit mineral reserves. This results in an overall project strip ratio of 4.1 tons of waste for each ton of material processed.
Table 1-4 Proven and Probable Mineral Reserves
Dark Star | K Tons | oz Au/ton | K Ozs Au |
Proven Probable | 7,618 24,524 | 0.037 0.023 | 282 557 |
P&P | 32,142 | 0.026 | 840 |
Pinion | K Tons | oz Au/ton | K Ozs Au | oz Ag/ton | K Ozs Ag |
Proven Probable | 2,258 37,469 | 0.022 0.019 | 50 714 | 0.194 0.152 | 437 5,700 |
P&P | 39,728 | 0.019 | 764 | 0.154 | 6,137 |
Consolidated Gold Reserves | | |
Dark Star & Pinion | K Tons | oz Au/ton | K Ozs Au |
Proven | 9,877 | 0.034 | 333 |
Probable | 61,993 | 0.021 | 1,271 |
P&P | 71,870 | 0.022 | 1,604 |
Note: Cutoff grades are applied by material type as described in Section 15.2.3; Proven and Probable mineral reserves for Pinion include silver as reported above; and Due to lack of silver at Dark Star, consolidated gold reserves are reported without silver to avoid reporting erroneous average silver grade.
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The FS includes mining at both the Dark Star and Pinion deposits; both are planned as open-pit, truck and shovel operations. The truck and shovel method provides reasonable costs and selectivity for these deposits.
The production schedule considers the processing of material by ROM. All ROM material will be dumped in place directly on the ROM leach pad. Monthly periods were used to create the production schedule with pre-stripping starting in Dark Star at month -6. Start of ROM processing is assumed to be month 2.
The total Dark Star mining rate would ramp up from 20,000 tons per day to about 80,000 tons per day over a period of 6 months. A maximum of 109,000 tons per day is used in the production schedule during the peak mining of deeper Dark Star material. Pre-production mining is planned to start in Dark Star North and then progress to Pinion in Year 1. The maximum mining rate required in Pinion is 126,000 tons per day.
The FS has assumed owner mining to keep the cost lower than it would be with contract mining. The production schedule was used along with additional efficiency factors, cycle times, and productivity rates to develop the first principle hours required for primary mining equipment to achieve the production schedule. Primary mining equipment includes drills, loaders, hydraulic shovels, and 200-ton capacity haul trucks.
Waste storage facility designs were created for the FS to contain the material that is not processed. A 1.3 swell factor was assumed which provides for both swell when mined and re-compaction when placed into the facility.
Project infrastructure for South Railroad has been developed to support the mining and heap leaching operations. Electrical power will be generated onsite by generators powered by liquified natural gas (LNG). Project buildings located at the site will include Security and Emergency services, Administration, Change House, Crushing, Truck Shop, ADR/Refinery Plant, and Laboratory buildings. These will mainly be located between Pinion and Dark Star pits for ease of access and be connected by local roads and haul routes.
1.11 | Environment and Permitting |
Gold Standard has been conducting environmental baseline studies over the past several years as part of their ongoing permitting efforts and in preparation for the submittal of permit applications for conduct mining operations. The main portion for the project area has been surveyed for surface water resources, including Waters of the United States (“WOTUS”), biological resources, and cultural resources. The project access road, and the water management area remain to be surveyed. In 2018, Gold Standard commenced material characterization testing of the mineralized material and waste rock to determine the metal leaching and acid generation potential. Additionally, an evaluation of the groundwater resources was commenced to determine groundwater supply potential, as well as the potential impacts from groundwater pumping and pit lake development. Gold Standard has had several meetings with the United States Bureau of Land Management (“BLM”) since January 2019 to determine any additional baseline data collection needs for the permitting process.
Within and adjacent to the project area there are Greater Sage Grouse and Golden Eagles. These species will have an effect on how the project is permitted and what mitigation in required or proposed. Gold Standard is working with the BLM on the management of these species.
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The review and approval process for the Plan Application by the BLM constitutes a federal action under the National Environmental Policy Act (“NEPA”) and BLM regulations. Thus, for the BLM to process the Plan Application the BLM is required to comply with the NEPA and prepare either an Environmental Assessment (“EA”), or an Environmental Impact Statement (“EIS”). The BLM has determined that this process requires an EIS, due to the mine dewatering and potential pit lake. Gold Standard will also need an Individual Section 404 Permit from the United States Army Corps of Engineers, and this agency will be a cooperating agency on the NEPA documents.
There are a number of environmental permits issued by the Nevada Department of Environmental Protection (“NDEP”) that are necessary to develop the project and which Gold Standard needs to permit the project. The NDEP issues permits that address water and air pollution, as well as land reclamation. The Nevada Division of Water Resources (“NDWR”) issues water rights for the use and management of water.
The SRMP (as defined below) is a previously explored minerals property with exploration related disturbance. However, there have been very long periods of non-operation. There are no known ongoing environmental issues with any of the regulatory agencies. Gold Standard has been conducting baseline data collection for a couple of years for environmental studies required to support the Plan Application and permitting process. The waste and mineralized material characterization and the hydrogeologic evaluation are currently in their latter stages of development. Material characterization indicates the need to manage a significant portion of the waste rock as potentially acid generating in engineered facilities. Additional results to date indicate limited cultural issues, air quality impacts appear to be within State of Nevada standards, traffic and noise issues are present but at low levels, and socioeconomic impacts are positive.
Social and community impacts have been and are being considered and evaluated for the Plan Amendment and Plan Application performed for the project in accordance with the NEPA and other federal laws. Potentially affected Native American tribes, tribal organizations and/or individuals are consulted during the preparation of all plan amendments to advise on the proposed projects that may have an effect on cultural sites, resources, and traditional activities.
Potential community impacts to existing population and demographics, income, employment, economy, public finance, housing, community facilities and community services are evaluated for potential impacts as part of the NEPA process. There are no known social or community issues that would have a material impact on the project’s ability to extract mineral resources. Identified socioeconomic issues (employment, payroll, services and supply purchases, and state and local tax payments) are anticipated to be positive.
A Tentative Plan for Permanent Closure (“TPPC”) for the project would be submitted to the NEDP with the Water Pollution Control Permit (“WPCP”) application. In the TPPC, the proposed heap leach closure approach would consist of fluid management through evaporation, covering the heap leach pad and waste rock facilities with growth media, and then revegetating. The design of the process components is not sufficiently advanced to determine the closure costs. Any residual heap leach or waste rock facilities drainage will be managed with evaporation cells.
Gold Standard developed a Water Management Plan for South Railroad in support of the FS. The Water Management Plan formed the basis for evaluating the infrastructure and associated cost to manage water through the life cycle of the mine. The purpose of the Water Management Plan is to present the water management strategies that focus on water as an asset and allow Gold Standard to proactively plan and manage water from development to post-closure such that operational and stakeholder water needs are met, and that human health and the environment are protected.
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To support the development of water management strategies for the project, the following pre-design studies/activities were completed:
| · | Analytical and numerical groundwater model to estimate pit dewatering requirements and potential impacts for the Dark Star North pit and the Pinion Phase 4/5 expansion; |
| · | Evaluation and modeling of long-term climate records and 24-hour design storms used as input for event- based stormwater modeling, continuous water balance modeling, and infiltration modeling; |
| · | Stormwater modeling and calculations for locating and sizing stormwater management infrastructure; |
| · | Infiltration modeling to predict the amount of seepage from the Water Rock Disposal Facility (“WRDF”s) that will require management during operation, closure, and post-closure periods; |
| · | Water balance modeling to evaluate the supplies of and demands of site water over the LOM; and |
| · | Closure and 404 mitigation cost evaluation. |
The water management strategy and technical investigations to support the Water Management Plan resulted in the following FS level infrastructure:
| · | Stormwater management and seepage collection facilities, such as channels, ponds, culverts, attenuation structures, down drains, and other related open-channel stormwater controls; |
| · | A groundwater dewatering system needed to mine ore below the groundwater table in the Dark Star pits and the Pinion Phase 4/5 expansion; and |
| · | A site-wide water conveyance system. |
The capital expenditure schedule for the LOM is shown in Table 1-5 below.
Table 1-5: Capital Expenditure Schedule
Capital Expenditure ($000) | Initial | Sustaining | Total |
Year -1 | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 | Year 6 | Year 7 | Year 8 | Year 9 | Year 10 |
Mine Pre-Prod. | $22,640 | - | - | - | - | - | - | - | - | - | - | $22,640 |
Mine Capital | $13,943 | $10,703 | $16,798 | $16,306 | $16,914 | $16,284 | $10,884 | $9,147 | $5,588 | - | - | $116,568 |
Process | $152,458 | $27,169 | $8,953 | $15,149 | $6,798 | $13,850 | $5,375 | $2,563 | $1,329 | $1,223 | $1,644 | $236,511 |
Owner’s Cost | $1,157 | - | - | - | - | - | - | - | - | - | - | $1,157 |
Total | $190,197 | $37,872 | $25,751 | $31,455 | $23,712 | $30,133 | $16,259 | $11,710 | $6,918 | $1,223 | $1,644 | $376,873 |
1.14 | Operating Cost Summary |
The total production cost includes mine operations, process plant operations, general and administration, reclamation and closure, and government fees. Table 1-6 below shows the operating costs over the LOM by area.
Table 1-6: LOM Operating Costs
LOM Operating Cost ($000) |
Mining | $616,504 |
Process Plant | $147,424 |
G&A | $37,750 |
$5,153Refining | $5,153 |
Total Operating Cost | $806,832 |
Royalty | $10,911 |
Salvage Value | -$12,410 |
Reclamation/Closure | $22,569 |
Total Production Cost | $827,901 |
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1.15 | Conclusions and Recommendations |
The results of this study indicate that South Railroad is both technically and economically feasible and demonstrates robust returns, even at the moderate metal prices. The authors recommend that the South Railroad project be advanced to basic engineering, with a list of specific recommendations to achieve that goal (see Section 26).
Presently there are 1.60 million proven and probable ounces of gold and 6.1 million ounces of silver in the Dark Star and Pinion deposits estimated mineral reserves combined, 1.78 million Measured and Indicated ounces of gold in the Dark Star and Pinion deposits estimated mineral resources combined, inclusive of mineral reserves in the Dark Star and Pinion deposits, and there are 0.72 million Inferred ounces of gold in the Dark Star, Pinion, Jasperoid Wash and North Bullion deposits estimated mineral resources combined. There are also 7.1 million Measured and Indicated and
0.9 million Inferred ounces of silver in the Pinion resource. Mineral resources that are not mineral reserves do not have demonstrated economic viability.
The FS indicates an average gold production over the estimated 8-year LOM of about 124,000 ounces per year, with peak production in Year 2 of 197,000 ounces of gold. Cash costs are estimated to be $792 per ounce of gold after by- product credit, and AISC are estimated to be $1,021 per ounce of gold. The resulting after-tax cash flow is $403.2 million, for an after-tax NPV (5%) of $314.8 million and an estimated payback period of 1.9 years. A summary of the pre-tax and after-tax FS economic indicators is shown in Table 1-7.
Table 1-7: Economic Analysis Summary
Indicators | Before-Tax | After-Tax |
LOM Cash Flow ($000) | $497,330 | $403,162 |
NPV @ 5% ($000) | $388,866 | $314,791 |
NPV @ 10% ($000) | $307,248 | $247,592 |
IRR | 49.2% | 44.3% |
Payback (years) | 1.9 | 1.93 |
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SECTION 2 TABLE OF CONTENTS
SECTION | | PAGE |
2 | INTRODUCTION AND TERMS OF REFERENCE | 2-1 |
| 2.1 | PURPOSE OF REPORT | 2-1 |
| 2.2 | SOURCES OF INFORMATION | 2-1 |
| 2.3 | PROJECT SCOPE AND TERMS OF REFERENCE | 2-2 |
| 2.4 | FREQUENTLY USED ACRONYMS, ABBREVIATIONS, DEFINITIONS, AND UNITS OF MEASURE | 2-3 |
SECTION 2 LIST OF TABLES
TABLE | DESCRIPTION | PAGE |
Table 2-1: | List of Qualified Persons | 2-2 |
Table 2-2: | Acronyms and Abbreviations | 2-4 |
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2 | INTRODUCTION AND TERMS OF REFERENCE |
This NI 43-101 Technical Report was prepared by M3 for Gold Standard of Vancouver, British Columbia, a corporation that is listed in TSX Venture Exchange (TSX.V: GSV) and the New York Stock Exchange (NYSE: GSV).
Gold Standard owns the Railroad-Pinion project in the southern Carlin trend, in Elko County, Nevada, USA.
This Technical Report for the Railroad-Pinion project describes the feasibility of extracting and processing the oxide mineral reserve at the South Railroad property, which includes the Dark Star and Pinion gold deposits. This study incorporates new design-work, scheduling, and projected costs.
This update is based on the resource estimates and pit optimizations as of January 31, 2022. This includes the updated 2022 mineral resource and mineral reserve estimates for the Dark Star and Pinion gold deposits, and updated mineral resource estimates for the North Bullion deposit.
Gold Standard has drilled or received assays for 127 new holes since the effective dates of the databases for the respective deposits on the Railroad-Pinion property. In many cases, assay results were delayed significantly past the effective dates due to the COVID-19 pandemic. That drilling was primarily focused on obtaining metallurgy samples, generating geotechnical data, construction of water and monitor wells, infilling within modeled areas, or for exploration of secondary targets. The new drilling in the Dark Star, Pinion, North Bullion and Jasperoid Wash areas were evaluated with respect to the resource models and it was determined there would be minimal to no impact on estimated volumes and grades as reported within optimized pits in this report. Further discussion is given in Section 14.
The North Railroad portion of Gold Standard’s property includes the POD (formerly Railroad deposit), Sweet Hollow, South Lodes, and North Bullion cluster of gold deposits. Together these four deposits are referred to as the North Bullion deposits or North Bullion area. The first-time estimates of POD, Sweet Hollow, and North Bullion gold mineral resources were originally reported by Dufresne and Nicholls (2017b). The POD, Sweet Hollow, South Lodes, and North Bullion deposits were remodeled by MDA, a Division of RESPEC, LLC. (“MDA”), and new mineral resources, are presented herein.
Other targets mentioned in this Technical Report include Bald Mountain, in the North Railroad portion of the Railroad- Pinion property, and JR Buttes, Dixie, Irene, Sentinel, Ski Track, and East Jasperoid in the South Railroad portion of the Railroad-Pinion project.
References to Tomera Formation equivalent stratigraphy have been noted historically. However, recent work suggests these units in the Railroad-Pinion area may not be of equivalent age, so all usage of Tomera Formation equivalent in this Technical Report refer to units that are Pennsylvanian-Permian undifferentiated.
This Technical Report has been prepared in accordance with the disclosure and reporting requirements set forth in NI 43-101 Companion Policy 43-101CP, and Form 43-101F1, as well as with the Canadian Institute of Mining, Metallurgy and Petroleum’s “CIM Definition Standards - For Mineral Resources and Reserves, Definitions and Guidelines” (“CIM Standards”) adopted by the CIM Council on May 10, 2014.
2.2 | Sources of Information |
In compiling the background information for this Technical Report, the authors fully relied on information provided by Gold Standard and on other references as cited in Section 3, including technical reports by APEX (Dufresne and Turner, 2014; Dufresne et al., 2014; Dufresne et al., 2015; Dufresne and Nicholls, 2016; Dufresne et al., 2017; and Dufresne and Nicholls, 2017a, 2017b, 2018).
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The Pinion, Dark Star, Jasperoid Wash and North Bullion deposits mineral resource estimates presented in this Technical Report were estimated and classified under the supervision of Mr. Michael S. Lindholm, C.P.G. and Senior Geologist for MDA, Mr. Thomas L. Dyer, P.E., Senior Engineer for MDA, prepared the mining and economic studies for the FS.
Table 2-1 is a list of qualified persons who contributed to this Technical Report.
Table 2-1: List of Qualified Persons
QP Name | Company | Qualification | Site Visit Date | Area of Responsibility |
Matthew Sletten | M3 Engineering & Technology Corporation, Chandler, AZ | PE | No site visit | Sections 1.1, 1.10, 1.13, 1.14, 1.15, 4, 5, 18.1, 18.2, 18.3, 18.4, 18.5, 18.8, 19, 21 except (21.1 and 21.4), 22, 23, 24, 25, and 26 |
Benjamin Bermudez | M3 Engineering & Technology Corporation, Chandler, AZ | PE | No site visit | Section 1.7 and 17 |
Art Ibrado | Fort Lowell Consulting PLLC, Tucson, AZ | PE | September 25, 2019 | Sections 2, 3, and 27 |
Michael S. Lindholm | Mine Development Associates (a division of RESPEC), Reno, NV | CPG | July 16, 2020 | Sections 1.3, 1.4, 1.5, 1.8.1, 6, 7, 8, 9, 10, 11, 12, and 14 |
Thomas Dyer | Mine Development Associates (a division of RESPEC), Reno, NV | PE | November 18, 2016 | Sections 1.8, 1.9, 15, 16, 21.1, and 21.4 |
Jordan Anderson | Mine Development Associates (a division of RESPEC), Reno, NV | QP RM-SME | February 23, 2022 | Sections 1.8, 1.9, 15, 16, 21.1, and 21.4 |
Gary L. Simmons | GL Simmons Consulting, LLC | QP-MMSA | October 9, 2020 | Section 1.6 and 13 |
Richard DeLong | EM Strategies, Inc., Reno, NV | QP-MMSA, RG, PG | No site visit | Sections 1.2, 1.11, 1.12 and 20 |
Kevin Lutes | NewFields | PE | February of 2021 | Section 18.6 and 18.7 |
2.3 | Project Scope and Terms of Reference |
Gold Standard has been actively exploring the North Railroad portion of the property since 2010 and the South Railroad portion of the property since 2014 (Koehler et al., 2014; Turner et al., 2015).
The scope of this study includes a review of pertinent technical reports and data provided to MDA by Gold Standard relative to the general setting, geology, project history, exploration activities and results, methodology, quality assurance, interpretations, drilling programs, metallurgy, and estimated mineral resources.
The authors have relied almost entirely on data and information derived from work done by Gold Standard and its predecessor operators of the amalgamated South Railroad and North Railroad portions of the Railroad-Pinion property. The authors have reviewed much of the available data and made site visits and have made judgments about the general reliability of the underlying data. Where deemed either inadequate or unreliable, the data were either eliminated from use or procedures were modified to account for lack of confidence in that specific information. The authors have made such independent investigations as deemed necessary in their professional judgment to be able to reasonably present the conclusions discussed herein.
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The effective date of this FS is February 23, 2022, and the issue date of the Technical Report is March 14, 2022. The effective dates of the Pinion and Dark Star databases on which the mineral resources described in this Technical Report are estimated on are June 2, 2021, and June 15, 2021, respectively. The effective dates of the Jasperoid Wash database is October 6, 2018, and the effective date of the North Bullion deposits database is August 21, 2020. New optimized pits and underground shells were generated using current mining costs in 2022, so the effective dates of the reported mineral resource estimates for all deposits is January 31, 2022.
2.4 | Frequently Used Acronyms, Abbreviations, Definitions, and Units of Measure |
In this Technical Report, measurements are generally reported in metric units. Where information was originally reported in imperial units, MDA has made the conversions as shown below. In the case of metallurgical test data and historical mineral resource estimates the units are as originally reported in order to preserve historical accuracy and avoid errors that can result from rounding converted data.
Currency, units of measure, and conversion factors used in this Technical Report include:
Linear Measure 1 inch | = 2.54 centimeter | |
1 foot 1 mile | = 0.3048 meter = 1.6093 kilometer | = 0.3333 yard |
Area Measure 1 acre | = 0.40469 hectares | = 0.001562 square mile |
Capacity Measure (liquid) 1 gallon | = 3.7846 liters | |
Weight 1 ton | = 1 imperial short ton | = 2,000 pounds |
1 tonne 1 kilogram | = 1.1023 short tons = 2.205 pounds | = 2,205 pounds or = 1,000 kilograms |
Regarding currency, unless otherwise indicated, all references to dollars ($) in this Technical Report refer to currency of the United States.
Frequently used acronyms and abbreviations are as shown in Table 2-2.
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Table 2-2: Acronyms and Abbreviations
Abbreviation | Description |
2SD | two times the standard deviation |
3SD | three times the standard deviation |
AA | atomic absorption spectrometry |
ABA | acid-base accounting |
Ag | silver |
AgCN | cyanide-soluble silver |
AgFA | silver analysis by fire assay, total silver content |
Au | gold |
AuCN | cyanide-soluble gold |
AuFA | gold analysis by fire assay, total gold content |
Calc, calc | calculated |
CINO | inorganic carbon |
cm | centimeters |
core | diamond core-drilling method |
°C | degrees Celsius |
Ext | extracted |
°F | degrees Fahrenheit |
FA | fire assay |
ft | foot or feet |
ft2, sf | square feet |
gal | gallon(s) |
g | gram |
gpl | grams per liter |
GPM, gpm | gallons per minute |
g/t | grams per metric tonne |
Ha | hectares |
hd | head |
HP | horsepower |
Hr., hr., hrs | hour, hours |
ICP | inductively-coupled plasma-emission spectrometric method |
ICP-MS | inductively-coupled plasma-emission and mass spectrometry |
in | inch or inches |
kg | kilograms |
km | kilometers |
kW | kilowatts |
kWh/m3 | kilowatt-hours per cubic meter |
kWh/yr | kilowatt-hours per year |
l | liter (L in metallurgical use) |
lb or lbs. | Pounds |
m | Meters |
Ma | million years |
mi | mile or miles |
mm | millimeters |
µm | micron or 10-6 meters |
NAG | non-acid generating, (neutralizing potential) |
NSR | net smelter return |
Opt, oz/ton | troy ounce per short ton |
org | Organic |
oz | troy ounce |
P80 | the theoretical square screen-opening, through which 80 weight percent of the particles will pass. |
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Abbreviation | Description |
PAG | potential acid generating |
ppm | parts per million |
ppb | parts per billion |
QA/QC | quality assurance and quality control |
RC | reverse-circulation drilling method |
RQD | rock-quality designation |
SO4 | Sulfate |
st | Imperial short ton (2,000 pounds) |
SSUL | sulfide sulfur |
t | metric tonne or tonnes |
tot | total |
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SECTION 3 TABLE OF CONTENTS
3 | RELIANCE ON OTHER EXPERTS | 3-1 |
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3 | RELIANCE ON OTHER EXPERTS |
Mr. Ekins, who is an independent registered professional landman (RPL#32306) and president of GIS Land Services in Reno, Nevada, assisted with the preparation of the summary land description and property maps discussed below. Mr. Ekins and Gold Standard have relied upon title opinions prepared by Mr. Jeff N. Faillers of Erwin Thompson Faillers, of Reno, Nevada, Mr. Richard Thompson of Harris & Thompson, of Reno, Nevada, and Ms. Tracy Guinand, an independent registered professional landman of Tracy Guinand Land LLC, of Reno, Nevada. The most recent of these title opinions are dated September 5, 2018. The opinions provided on surface ownership and subsurface mineral ownership, along with royalty information, are current as of the effective date of this Technical Report. Additional details with respect to the surface and subsurface ownership are provided in Gold Standard’s most recent Annual Information Form (“AIF”), which can be found on the SEDAR website at www.sedar.com.
The sample collection, security, transportation, preparation, and analytical procedures are judged by the authors to be acceptable and to have produced data suitable for use in the estimation of the mineral resources reported in Section 11, subject to those exclusions or modifications discussed in Section 14. The authors consider the procedures utilized by Gold Standard and the assay laboratories to be appropriate for use as described.
The QPs of this report relied upon contributions from other consultants as well as Gold Standard Ventures. The QPs have reviewed the work of the other contributors and find that this work has been performed to normal and acceptable industry and professional standards. The authors are not aware of any reason why the information provided by these contributors cannot be relied upon.
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SECTION 4 TABLE OF CONTENTS
4 | PROPERTY DESCRIPTION AND LOCATION | 4-1 |
| 4.1 | LOCATION AND LAND AREA | 4-1 |
| 4.2 | AGREEMENTS AND ENCUMBRANCES | 4-3 |
| 4.3 | ENVIRONMENTAL PERMITS | 4-5 |
| | 4.3.1 | Other Permits | 4-5 |
| | 4.3.2 | Private Land Disturbance | 4-5 |
SECTION 4 LIST OF FIGURES
Figure 4-1: | Location Map for the Railroad-Pinion Property | 4-2 |
Figure 4-2: | Railroad-Pinion Property with Ownership Percentages, Elko County, Nevada | 4-2 |
Figure 4-3: | Railroad-Pinion Property Map with Royalty Encumbrances | 4-4 |
Figure 4-4: | Property Map with Railroad- Pinion Permit Boundaries | 4-6 |
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4 | PROPERTY DESCRIPTION AND LOCATION |
4.1 | Location and Land Area |
The property that is the subject of this Technical Report comprises two contiguous areas of mineral tenure held by Gold Standard (Figure 4-1) that straddle the Piñon Range in the Railroad mining district at the southeast end of the Carlin trend, a northwest-southeast trending belt of prolific gold endowment in northern Nevada. In previous Technical Reports, the northern portion of the land holdings, now referred to as the North Railroad portion of the property (Figure 4-1), has been referred to as the Railroad project and the Railroad property (Dufresne et al., 2017). The southern portion of the Railroad-Pinion property, now referred to as the South Railroad portion of the property (Figure 4-1), was referred to as the Pinion project and the Pinion property in previous technical reports (Dufresne et al., 2017). In November 2017, Gold Standard published a technical report on the Railroad-Pinion property, which included a mineral resource estimate for the North Bullion, POD, and Sweet Hollow gold deposits (Dufresne and Nicholls, 2017b), located in the North Railroad portion of the Railroad-Pinion property, approximately 6 miles north of the Dark Star and Pinion deposits. Based on available information, North Bullion, POD, and Sweet Hollow would not likely share a common mining infrastructure with Dark Star and Pinion.
The Railroad-Pinion property in the Piñon Range is accessed primarily from the four-lane transcontinental U.S. Interstate 80 (“I-80”), approximately 275 miles west of Salt Lake City, Utah, and 290 miles east of Reno, Nevada (Figure 4-1). The project is located between 8 and 18 miles south of I-80 and can be reached by a series of paved and gravel roads from Elko, Nevada (population 18,300). The property is centered approximately at UTM NAD27 Zone 11 coordinates of 585,000E and 4,480,000N.
The North and South Railroad properties combined constitute a land position totaling 53,570 acres, and with partial interests taken into consideration, 50,600 acres net acres of land in Elko County, Nevada. The properties are located within Section 13 in Township (“T”) 28N, Range (“R”) 52E; Sections 10, 11, 14, 16, 17, 18, 23, and 24 in T28N, R53E; Sections 1 to 21, 23, 24, 25, 29, 30, 31, 33, 35, and 36 in T29N, R53E; Sections 7, 18, 19, and 30 in T29N, R54E; Section 12 in T30N, R52E; Sections 1 to 10, 13 to 33, and 36 in T30N, R53E; Sections 24 and 36 in T31N, R52E; and Sections 8, 10, 14 to 22 and 26 to 35 in T31N, R53E, as shown in Figure 4-2. Gold Standard owns, or otherwise controls 100% of the subsurface mineral rights on a total of 29,942 acres of land held as patented and unpatented lode claims. This includes 1,455 unpatented claims owned by Gold Standard and 207 unpatented claims held under lease (Appendix B). Gold Standard also owns or leases 30 patented claims (Appendix B).
There is also a total of 23,628 gross acres of private lands of which Gold Standard’s ownership of the subsurface mineral rights varies from 49.2% to 100% (Figure 4-2), for a net position of approximately 20,658 gross acres.
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Figure 4-1: Location Map for the Railroad-Pinion Property | | Figure 4-2: Railroad-Pinion Property with Ownership Percentages, Elko County, Nevada |
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(from Dufresne and Nicholls, 2017b) | | (from Dufresne and Nicholls, 2017b) |
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Private surface and private mineral property are wholly owned and subject to lease agreement payments (see Section 4.2) and property taxes (paid on an annual basis) as determined by Elko County. Unpatented lode mining claims grant the holder 100% of the locatable mineral rights and access to the surface for exploration activities which cause insignificant surface disturbance. Ownership of the unpatented mining claims is in the name of the holder (locator), subject to the paramount title of the United States of America, under the administration of the BLM. Under the Mining Law of 1872, which governs the location of unpatented mining claims on federal lands, the locator has the right to explore, develop, and mine minerals on unpatented mining claims without payments of production royalties to the U.S. government, subject to the surface management regulation of the BLM. Currently, annual claim-maintenance fees are the only federal payments related to unpatented mining claims. The mineral rights do not expire if the unpatented claims are maintained by paying an annual fee of $165 per claim to the U.S. Department of Interior, BLM prior to the end of the business day on August 31 every year. A notice of intent to hold must also be filed with the Elko County Recorder on or before November 1 annually, along with a filing fee of $12.00 per claim, plus a $4.00 document fee.
Gold Standard has completed its federal claim maintenance fee obligations for the owned and leased unpatented claims for 2021-2022 assessment year. The federal claim maintenance fees for the claims for the 2022-2023 assessment year are due on or before September 1, 2022. Gold Standard’s estimated claim maintenance fee cost for the owned and leased unpatented claims is $294,414 per annum, and the company’s total estimated annual cost to maintain its property package is $1,572,834.
4.2 | Agreements and Encumbrances |
Portions of the unpatented and private lands are encumbered with royalties predominantly in the form of standard Net (or Gross) Smelter Return (“NSR” or “GSR”) and Mineral Production (“MP”) royalty agreements, or Net Profit Interest (“NPI”) agreements. The locations and aerial distribution of the currently relevant royalty encumbrances for the Railroad-Pinion property are shown in Figure 4-3. These are summarized as follows:
| ● | 1.0% NSR royalty to Franco-Nevada U.S. Corporation, as successor-in-interest to Royal Standard Minerals, Inc. and Manhattan Mining Co. on the portion of the property acquired by statutory plan of arrangement; |
| ● | 1.5% MP royalty to Kennecott Holdings Corporation on claims noted as the Selco Group; |
| ● | 5.0% NSR royalty to the owners of the undivided private mineral interests; |
| ● | Gold Standard owns an approximate 99.2% mineral interest in Sections 21 and 27 by way of several lease agreements. Pursuant to the terms of the relevant lease agreements, Sections 21 and 27 are subject to a 5.0% NSR royalty to the lessors of the leased property; |
| ● | Section 22 is comprised of the TC 1 through 39, and TC 37R and 38R unpatented lode mining claims owned by Gold Standard. The TC claims are subject to an unknown/unspecified NSR royalty to "GSI, Inc., of Virginia"; |
| ● | 1.0% NSR royalty to Aladdin Sweepstake Consolidated Mining Company on the portion of the property acquired by statutory plan of arrangement, including the PIN#1 to PIN#12 lode mining claims; |
| ● | 4.0% NSR royalty to ANG Pony LLC for mining claims leased by Gold Standard in Sections 34 and 36 in T30N, R53E, and Sections 2 and 4 in T29, R53E; |
| ● | 3.0% NSR royalty to Peter Maciulaitis for certain mining claims in Sections 24 and 26 in T30N, R53E; |
| ● | A 3.0% NSR royalty (relative to mineral interest) to Linda Zunino and Tony Zunino, Trustees of the Delert J. Zunino and Linda Zunino Family Trusts dated October 11, 1994, and a 3.0% NSR royalty (relative to mineral interest) to John C. Carpenter and Roseann Carpenter, husband and wife, on Section 23 in T29N, R53E; |
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| ● | 2.0% NSR royalty to Maverix Metals Inc., a successor-in-interest to Amax Gold Inc., on certain patented and unpatented mining claims owned by the company; |
| ● | A 3.0% NSR royalty to Nevada Sunrise LLC on the 14 WMH claims situated in Sections 1, 2, 3, and 11 in T29N, R53E; and |
| ● | A 3.5% NSR royalty (relative to mineral interest) to Dominek Pieretti and the heirs of Tusca Sullivan on Sections 3, 5, 7, 8, 9, 10, 15, 17, 19, 21, 29, 31, and 33 in T29N, R53E, and Section 33 in T30N, R53E. |
(from Dufresne & Nicholls, 20147b)
Figure 4-3: Railroad-Pinion Property Map with Royalty Encumbrances
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As of the effective date of this Technical Report, the authors are not aware of any significant factors or risks that may affect access, title, or the right or ability to perform work on the property. Gold Standard controls sufficient ground and has sufficient permitting in place to access the project and continue future exploration programs. Details on permitting are provided below. The following section discusses land use permitting and other regulatory information specific to the South Railroad portion of the property.
A Plan of Operations for the South Railroad Mining Project was submitted to BLM in November 2020. BLM issued a letter of completeness in December 2020 and determined that due to the scope of the project, an Environmental Impact Statement would need to be prepared under the National Environmental Policy Act prior to approval. Additional State and Federal Permit applications are being prepared concurrently with the EIS preparation and are expected to be submitted in 2022. These include; Air Operating Permits, a Water Pollution Control Permit, Jurisdictional Water (404) permit, Groundwater Discharge (NPDES) permit and several others.
Exploration
Gold Standard currently has a Plan of Operations (PoO) in place with the BLM and a Surface Area Disturbance Permit with the Nevada Division of Environmental Protection (NDEP) for the South Railroad portion of the property (Figure 4-4).
Gold Standard represents that the PoO for the “South Railroad” portion of the Railroad-Pinion project was approved by the BLM in December 2020. The approved PoO covers a total of 8,456 ac with 5,236 ac of public land and 3,072 ac of private land located in Section 2 in T29N, R53E, and Sections 20, 21, 22, 23, 24, 25, 27, 28, 34, 35, and 36, and portions of Sections 14, 16, and 26 in T30N, R53E. Within the area of the PoO exploration-related disturbance and reclamation bonding can be conducted in three phases totaling 500 acres. A reclamation bond in the amount of 1,448,735 has been posted with the BLM. This covers the initial 300 acres of exploration related disturbance in Phases One and Two.
A PoO and SAD permit are also held for the Railroad Exploration Area. Notices of Intent cover other exploration areas including Section 22, LT, Section 14, and Camp Douglas
4.3.2 | Private Land Disturbance |
As of the effective date of this Technical Report, Gold Standard has received a Reclamation Permit (“RP”) that includes the Pinion, Dark Star, and Irene reclamation plans. This RP covers both private land and public land disturbances. Previously approved reclamation plans associated with these areas will be closed by the respective permitting agency, either BLM or NDEP. These operated under an Interim Reclamation Permit (“IRP”) issued by the State of Nevada for disturbance greater than five acres on private land. The IRP allowed up to 11 acres of surface disturbance and covered portions of Sections 21 and 27 (not included in the PoO) in T30N, R53E.
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(from Gold Standard, 2018)
Figure 4-4: Property Map with Railroad- Pinion Permit Boundaries
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SECTION 5 TABLE OF CONTENTS
5 | Accessibility, Climate, Local Resources, Infrastructure and Physiography | 5-1 |
| 5.1 | Access to Property | 5-1 |
| 5.2 | Climate | 5-1 |
| 5.3 | Physiography | 5-1 |
| 5.4 | Local Resources and Infrastructure | 5-2 |
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5 | ACCESSIBILITY, CLIMATE, LOCAL RESOURCES, INFRASTRUCTURE AND PHYSIOGRAPHY |
The primary site access for South Railroad will be from Elko, NV using a 41.7-mile access route. This 41.7-mile route begins from its intersection with 12th Street in Elko, NV and continues approximately 5.5 miles along the existing paved State Route (SR) 227 (i.e., Lamoille Highway) to the intersection with SR 228 (i.e., Jiggs Highway). The route continues south along paved SR 228 for another 5.5 miles to the paved Elko County Road 715 (i.e., South Fork Road). The route follows southward along County Road 715 approximately 5.7 miles to the intersection with County Road 715B (i.e., Lucky Nugget Road/Grant Avenue). From this intersection, the route follows County Road 715B approximately 3.1 miles along the west shore of South Fork Reservoir through a semi-rural residential area to the intersection with BLM Road 1119, which continues southwest approximately 6 miles to its intersection with Elko County Road 720 (i.e., Bullion Road). The route follows the Bullion Road southwest approximately 10 miles to the intersection with the un-improved BLM Road 1053, then continues southward following the approximate alignment of BLM Road 1053 along the eastern flank of the Pinion Range approximately 6 miles to the South Railroad Project. Travel within the project area is currently via a network of historical and recently constructed direct roads and four-wheel drive tracks.
The project area has a relatively dry and cool, high-desert climate. Weather records from the Newmont Mining Corporation (“Newmont”) Carlin mine, 34 miles to the north, indicate that from 1966 through 2002, the average January maximum and minimum temperatures were 34ºF and 20ºF, respectively. July average maximum and minimum temperatures were 83ºF and 58ºF, respectively.
Rainfall in the region is generally light and infrequent between May and October. At Emigrant Pass, 10 miles west of the town of Carlin, Nevada and 12 miles northwest of the property, average annual precipitation has been 12.9 inches with average precipitation on January and July of 1.5 inches and 24 inches, respectively (US Climate Data). Much of the annual precipitation occurs as snowfall during the winter months.
Precipitation can vary dramatically with changes in elevation and season. Moist airflow from the south brings summer thunderstorms from July through September. A small number of these storms may carry heavy rains that can cause localized flooding in creeks and drainages. Winter snow and spring runoff may temporarily limit local access with respect to drilling and other geological fieldwork activities between November and April each year but are not considered to be significant issues. Mining and exploration can be conducted year-round with adequate snow removal and maintenance of access roads.
Northern Nevada is within the Basin and Range physiographic province, an area characterized by gently sloping valleys bounded by generally north-south-trending mountain ranges. The project area is located within and adjacent to the Piñon Range at elevations ranging from 5,807 feet to nearly 8,694 feet above sea level. Lower elevations consist of gentle, rolling hills with little to no bedrock exposure. Higher elevations are characterized by steeper slopes, deeply incised drainages, and an increase in bedrock exposure.
Vegetation largely consists of sagebrush, rabbit brush, small cacti, and bunch grass communities, consistent with a high-desert climate. Cottonwood trees are present in canyon and creek bottoms, and near springs. Pinyon pine, juniper, mountain mahogany, and aspen trees are present in some areas at higher elevations.
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5.4 | Local Resources and Infrastructure |
Elko, Nevada is a small, full-service city based on mining, ranching, and transportation that has served as the center for northern Nevada mining and exploration for more than half a century. Housing, hotels, groceries, restaurants, clinics, and a hospital, industrial supplies, a regional airport with daily flights to and from Salt Lake City, Utah, interstate highway and railway, local, state and federal government offices, fuel, telecommunications, engineering services, light and heavy equipment sales and services, and a community college are all present.
In this part of Nevada, there are local, regional, and international exploration and mining service companies, including assay laboratories, surveyors, suppliers, drilling contractors, and heavy equipment vendors supporting the exploration and mining industry. These companies are served by a skilled and experienced local labor force accustomed to the mining and exploration industries.
The North Railroad and South Railroad portions of the property are within 40 miles of several large, active open-pit and underground mines operated by Newmont and Barrick Gold Corp. (“Barrick”) along the Carlin trend. These mine sites also include fully operational mill complexes designed to treat sulfide and/or carbon-sulfide refractory gold ores.
Water for drilling at Pinion, Dark Star, and Jasperoid Wash is available at the project site. For communications, a commercial cellular telephone and data network is available in select locations. There are sufficient and appropriate sites within the property to accommodate exploration and potential mining facilities, including waste rock disposal, heap-leach pads, and processing infrastructure. Surface rights controlled by Gold Standard are sufficient for potential mining operations.
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SECTION 6 TABLE OF CONTENTS
6 | HISTORY | 6-1 |
| 6.1 | NORTH RAILROAD PORTION OF THE PROPERTY | 6-1 |
| 6.2 | SOUTH RAILROAD PORTION OF THE PROPERTY | 6-3 |
| | 6.2.1 | Pinion Area Exploration History | 6-3 |
| | 6.2.2 | Dark Star Area Exploration History | 6-5 |
| | 6.2.3 | Jasperoid Wash | 6-6 |
| | 6.2.4 | Other Prospects in the South Railroad Portion of the Property | 6-7 |
| 6.3 | HISTORICAL MINERAL RESOURCE ESTIMATES | 6-8 |
| | 6.3.1 | Pinion Deposit Historical Estimates | 6-8 |
| | 6.3.2 | Dark Star Deposit Historical Estimates | 6-10 |
| | 6.3.3 | POD (Railroad) Deposit Historical Mineral Resources 1985 - 2003 | 6-11 |
| 6.4 | HISTORICAL MINE PRODUCTION | 6-12 |
| | 6.4.1 | North Railroad | 6-12 |
| | 6.4.2 | South Railroad | 6-13 |
SECTION 6 LIST OF TABLES
Table 6-1: | Summary of Historical Exploration, Pinion Area | 6-5 |
Table 6-2: | Summary of Historical Exploration in the Dark Star Area | 6-6 |
Table 6-3: | Historical Pinion Deposit Estimated Mineral Resources | 6-8 |
Table 6-4: | 1994 Dark Star Historical Crown Mineral Resource Estimate | 6-10 |
Table 6-5: | Dark Star Deposit 1995-1996 Cyprus Mineral Resource Estimate | 6-11 |
Table 6-6: | POD Deposit Historical Mineral Resource Estimates 1985 - 2003 | 6-12 |
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Historical exploration conducted at the North Railroad and South Railroad portions of the Railroad-Pinion property is summarized below and is largely derived from Dufresne and Nicholls (2016), Dufresne et al. (2017), Dufresne and Nicholls (2017b), Dufresne and Nicholls (2018), and other sources as cited. The authors have reviewed this information and believe it accurately represents the history of the property as presently understood. MDA has added details of drilling types, footage and number of holes based on Gold Standard’s recently compiled project-wide database.
6.1 | North Railroad Portion of the Property |
This portion of the report is extracted and modified from Dufresne and Nicholls (2018) who provided the most recent summary of historical exploration in the North Railroad portion of the property using information taken largely from Hunsaker (2010, 2012a, 2012b), Shaddrick (2012), Koehler et al. (2014), and sources as cited. Details of types and amounts of drilling were derived from Gold Standard’s project-wide drill database.
The earliest prospecting and mineral exploration in the North Railroad portion of the property likely dates to the mid- 1860s. In 1869, the Railroad mining district was established in the area of Bunker Hill and the district was also known as the Bullion or Empire City district (LaPointe et al., 1991). Initially silver, lead, and copper ore was shipped to Chicago and San Francisco. A smelter was built in 1872 at the nearby town of Bullion. Beginning in 1905, shipments from operating mines, old dumps, and slag were sent to Salt Lake City (Ketner and Smith, 1963).
Early production in the district was mainly silver, lead, and copper extracted from numerous underground mines on the northern flank of Bunker Hill. Emmons (1910) reported that the mines were reopened in 1906 and at the time of his review the Standing Elk, Tripoli, Red Bird, Copper Belle, and Delmas mines were accessible. The most important mines exploited replacement and skarn-type deposits in marbleized and dolomitized rocks in the vicinity of the Bullion stock (see Section 7.3). There were also minor, undeveloped gold veins in intrusive rocks.
Beginning in 1910, and until the mines quit production in the 1960s, zinc became the prominent metal mined (LaPointe et al., 1991). In 1905, the Davis tunnel was started from a location approximately 4,400 ft northeast and 1,000 ft below the 600 level of the Standing Elk mine. Many lessors worked at extending the tunnel, which was driven southwest to reach a zone beneath the Standing Elk. In 1959, the zone was reached but no ore was found. Numerous oxidized faults and oxidized zones of base-metal mineralization were crossed.
Modern-era exploration began in 1967 when American Selco optioned claims from Aladdin Sweepstake Consolidated Mining, launching a period of surface sampling, geophysics, geological mapping, and surface drilling in the Railroad district and the North Railroad portion of the property that has continued to the date of this Technical Report. Records are incomplete but historical exploration was likely conducted in various areas at various times by 15 companies. These companies collected 6,260 soil samples, 3,508 rock samples, and drilled 382 holes, according to Dufresne and Nicholls (2018). Drilling in the North Railroad portion of the property by these operators is discussed in Section 10.2.
American Selco, Placer Amex, and El Paso Natural Gas Company with Louisiana Land and Exploration Company explored for porphyry copper and molybdenum in the Bullion stock and Grey Eagle intrusive rocks. They also looked for replacement sulfide “lenses” in limestone and “unknown replacement or disseminated” mineralization west of the Bullion stock (American Selco, 1970). American Selco completed an induced potential (“IP”) and magnetic geophysical surveys and drilled seven core holes and seven holes of unknown type. Subsequent core holes, and several of the rotary holes completed to the desired depths, intersected up to 50% sulfides as well as molybdenum, copper, silver, and gold.
Placer Amex drilled a single 1,200 ft hole in 1972. In 1974, El Paso Natural Gas Company drilled 2203 ft in five holes of unknown type with the Louisiana Land and Exploration Company. In 1975, AMAX Inc. (“AMAX”) optioned the claims and explored for tungsten, molybdenum, and base metals until 1980. Detailed mapping was completed in Sections 27, 28, 29, 32, 33, and 34 in T31N, R53E, and in Sections 3, 4, 5, 6, 8, and 9 in T30N, R53E (Dufresne and Nicholls, 2017b). AMAX also conducted surface dump and rock chip sampling, soil sampling, a vegetation geochemical survey, a ground magnetometer survey and drilled two core holes and 13 holes of unknown type in 1977 through 1980.
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In 1980, Homestake Mining Company (“Homestake”) entered into a joint venture arrangement with AMAX and exploration was focused on gold in the North Railroad area, particularly after Newmont discovered the Rain gold deposit about 6.2 mi north of Bunker Hill. Homestake drilled 22 holes (Galey, 1983) and collected rock and soil samples. The Homestake work identified what later became known as the POD deposit.
NICOR Mineral Ventures, Inc. (“NICOR”) became AMAX’s joint venture partner in 1983. As operator, NICOR continued the geologic mapping, soil geochemistry, and drilling initiated by Homestake. NICOR drilled 102 rotary and reverse- circulation holes (“RC”) in 1983 through 1986, expanding the drill coverage at the POD deposit and estimating a mineral resource (see Section 6.3.3).
In 1986, Westmont Mining Inc. (“Westmont”) took over NICOR’s interests and operated until 1993. Some of NICOR’s rock and soil sample data are recorded as Westmont data. Westmont drilled 42 RC holes and 31 holes of unknown type in the POD, North Bullion, Bald Mountain, and north of North Bullion areas during 1987-1992 and collected rock and soil samples. They developed a detailed stratigraphic interpretation for the late Paleozoic sedimentary units and also began to recognize low-angle reverse and low-angle normal faults, as well as prominent north-south-trending and northwest-trending high-angle normal and reverse faults. The interplay of the Webb-Devils Gate contact and complex faulting as controls to the mineralization were also identified late in the Westmont tenure.
At some time prior to 1993, Corona Gold (“Corona”) reported on land held jointly with Pezgold mineral resource Corporation (“Pezgold”) in Sections 16 and 20 in T31N, R53E, and which later became part of the Railroad-Pinion property. Available data indicate that six holes were drilled and geologic mapping, soil and rock sampling, and geophysics were conducted. Gold Standard’s drilling database does not contain drill holes attributed to Corona or Pezgold. Specific drill locations are not known, and drill data indicates all the holes remained in the Mississippian Webb Formation above the target horizons. A northeast-trending corridor of subtle Carlin or Rain-type alteration and weak geochemistry was noted.
The Corona Gold area was acquired by Newmont in 1993. According to Dufresne and Nicholls (2017b), two holes were drilled, and additional geophysical surveys were conducted. The drilling reached as deep as 1,400 ft, but this was not deep enough to reach the target horizon in those locations. These holes are not in Gold Standard’s drilling database. Gravity data outlined the northeast-trending zone and indicated a significant fault in the northeast corridor.
Ramrod Gold (“Ramrod”) became operator in 1993 and drilled 10 RC holes in the POD-North Bullion area in 1994. Newmont drilled one hole north of the POD-North Bullion deposit in 1995.
Mirandor Exploration (U.S.A.) Inc. (“Mirandor”) operated the project in 1996-1997 and drilled 42 RC holes in the POD- North Bullion, Bald Mountain, and north of North Bullion areas. The exploration for Ramrod and Mirandor was carried out by geologists who were previously employed by Westmont.
The Ramrod and Mirandor drilling tested greater depths than their predecessors and showed encouraging results along the northwest-trending POD zone. Elsewhere, the EMRR series of drill holes returned favorable results adjacent to the historic Sylvania mine which had historic production from replacement/skarn mineralization. Ramrod and Mirandor’s deeper drilling and drill hole placement encountered higher gold values than earlier drilling.
Kinross Gold U.S.A, Inc. (“Kinross”) took over the project during 1998 and 1999 under the terms of an earn-in agreement with Mirandor. Kinross drilled 64 RC holes and one core hole in the POD-North Bullion and Bald Mountain areas, according to the Gold Standard database and collected 871 rock and 2,531 soil samples according to Dufresne and Nicholls (2017b). The soil samples were collected using a uniform collection process and the analysis of both soils and rocks was consistent in analytical laboratory and procedures.
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The Kinross surface-sample results were consistent with known mineralization geology across most of the historical project area. Gold in soil anomalies from the Kinross samples generally coincides with the known historical drilling. Ag, As, Sb, and Hg also gave a similar pattern and highlight the known areas. Cu, Pb, Zn, and Mo highlight the historical skarn and replacement area (Dufresne and Nicholls, 2017b). The Kinross drilling tested within the areas of historical estimates, on the extensions of those zones, as well as newer target areas. The results in the areas of known gold returned similar results (Bartels, 1999). Step-out drilling appeared to be encouraging. Kinross drilled deeper holes, and in many cases, tested more of the stratigraphy than had been tested by previous operators.
The authors have no information on historical exploration, if any, carried out in the North Railroad portion of the property from 1999 until 2007. In 2007 and 2008, Royal Standard Minerals (“RSM”) drilled four core holes in the Bald Mountain area.
RSM, or its North Railroad property, was acquired by Scorpio Gold Corporation (“Scorpio”). In 2009, Gold Standard acquired the North Railroad property of Scorpio Gold and various private investors. MDA is not aware if this was the entire North Railroad portion of the current property, or if parts of the current North Railroad portion were acquired subsequent to 2009.
Gold Standard commenced exploration in the North Railroad portion of the property in 2009 (see Section 9.1 and Section 9.3) and began drilling in the North Bullion area in 2010 (see Section 10.4.1.1).
6.2 | South Railroad Portion of the Property |
Various parts of the current South Railroad portion of the property have been held by at least 15 different successive operators at various times. The summaries in Table 6-1 and Table 6-2 provide a timeline of the historical operators that held ownership of various portions and conducted historical exploration work. In some cases, historical project and property names, and boundaries have been applied in different forms than have been in use by Gold Standard over the last several years. Drilling by historical operators is summarized in Section 10.
6.2.1 | Pinion Area Exploration History |
Exploration activity at the Pinion area dates back to the discovery of the Pinion prospect by Newmont in 1980. Newmont referred to the prospect as Trout Creek. The majority of the historical work was conducted in the late 1980s and early to mid-1990s and overlaps somewhat with that of the adjacent North Railroad portion of the property. Historical exploration work conducted in the Pinion area is summarized in Table 6-1. This work identified a Carlin-type gold deposit at the Pinion prospect in Sections 22 and 27 in T30N and R53E, which for a time was known as the South Bullion deposit. An additional zone of gold-silver mineralization was discovered and partly delineated at the Dark Star prospect in Section 25 in T30N, R53E.
Historical drilling began in 1980 with RC methods. Drilling by historical operators is summarized in Section 10. The mineral resource estimates mentioned in Table 6-1 and in Section 6.3 were estimated prior to the introduction of the standards set forth in NI 43-101 and are not in accordance with NI 43-101. The authors of this Technical Report have referred to these estimates as “historical resources” and are not treating them, or any part of them, as current mineral resources or mineral reserves. There is insufficient information available to properly assess data quality, estimation parameters, and standards by which the estimates were categorized, and the authors have not done sufficient work to classify these historical mineral resources as current mineral resources. The historical mineral resource estimates described above should not be relied upon and are relevant only for historical completeness.
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Historical exploration in the Pinion area identified two discrete zones of mineralization (Main and North) with the majority of the historical drilling having been completed at the Main zone, including the testing of the jasperoid breccia outcrops located near the southern boundary of Section 22 in T30N and R53E. Historical drilling extended the Main zone gold mineralization well into Section 27 to the southeast. The north zone is located approximately ~1,000 ft northeast of the Jasperoid outcrops of the Main zone.
In 2014, Gold Standard acquired a large portion of the Pinion and surrounding area mineral rights from Scorpio. Subsequently, Gold Standard expanded their land position to include all of South Railroad.
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Table 6-1: Summary of Historical Exploration, Pinion Area
(modified from DeMatties, 2003; Dufresne and Nicholls, 2017; and with data from Gold Standard, 2018 and 2019)
Year | Company | Exploration Work Performed |
1980 | Newmont | - Conducted a regional stream sediment survey within the Piñon Range, which revealed a geochemical anomaly along Trout Creek. - Further prospecting and discovery of the baritic jasperoid, Pinion Main zone. |
1980-1981 | Cyprus Exploration Co. (“Cyprus”)/ AMOCO | - 31 RC drill holes in Au-bearing jasperoid outcrops and soil geochemical anomalies. |
1983 | Freeport-McMoRan (“Freeport”) | - 8 RC holes; each intersected gold. |
1985 | Santa Fe Mining (“Santa Fe”) | - 14 RC holes were drilled |
1987-1989 | Newmont | - 61 RC holes, estimation of historical mineral resource known as South Bullion, 20 million tons grading 0.026 oz Au/ton * (see discussion below in Section 6.2.4). |
1988 | Battle Mountain Gold (“Battle Mountain”) | 12 holes of unknown type were drilled. |
1987-1989 | Teck Resources (“Teck”) | - 39 RC drill holes, geological mapping, and performed a soil geochemical survey. |
1989-1991 | Westmont Resources (“Westmont”) | 11 holes of unknown type were drilled. |
1990-1994 | Crown Resources (“Crown”) | - 130 RC holes, conducted metallurgical testing, detailed mapping, rock chip sampling, 800 soil samples, controlled-source audio-magnetotelluric (“CSAMT”), and an airborne magnetic-electromagnetic-radiometric survey. - Defined two small and shallow mineralized zones: Pinion Main and “Central" zone, also known as Pinion North zone; estimated historical mineral resource of 8.1 million tons @ 0.89 g Au/t (0.026 oz Au/ton)* (see discussion below in Section 6.2.4). |
1994-1995 | Cyprus Mining (“Cyprus”) | - 914 rock samples, compiled geochemical results of previous exploration, identified Au anomalies defining the Ridge zone and Northern Extension. - 74 RC holes in the South Bullion mineral resource area, expanded the historical mineral resource to 31 million tons at 0.89 g Au/t (0.026 oz Au/ton)* * (see discussion below in Section 6.2.4). |
1996 | Crown/Royal Standard Minerals Inc. (“RSM”) | - 225 rock chip samples along 100 ft spaced lines; conducted geologic mapping, drilled 7 diamond-core holes at the Main zone and North (Pod) zone not in the Gold Standard database; produced a historical mineral resource and preliminary scoping study. |
1997-1999 | Crown/RSM/Cameco | - Conducted geologic mapping, CSAMT surveys, rock chip sampling. Cameco drilled 18 RC holes and 8 core holes were completed; some may have started with RC. |
1998-1998 | Kinross Gold | - 1 RC hole and 1 hole of unknown type were drilled. |
2002-2011 | RSM | - 2003 drilled 10 RC holes, conducted metallurgy work with samples from drilling and trenches; obtained density measurements indicating historical mineral resources could have been understated. In 2007, 5 core holes drilled to determine the water table and to characterize the neutralization and acid generating potential of the mineralized and waste rocks. - Proposed leach pad drill testing was completed in 2007, holes not in database. |
* The mineral resource estimates summarized in Table 6-2 were calculated prior to the introduction of the standards set forth in NI 43-101 and are not in accordance with that Instrument. The authors of this Technical Report have referred to these estimates as “historical resources” and are not treating them, or any part of them, as current mineral resources. There is insufficient information available to properly assess data quality, estimation parameters and standards by which the estimates were categorized, and the authors have not done sufficient work to classify these historical mineral resources as current mineral resources. The historical mineral resource estimates described above should not be relied upon and are relevant only for historical completeness. |
6.2.2 | Dark Star Area Exploration History |
The Dark Star deposit is located approximately 2 mi east of the Pinion Main zone (Figure 4-1). Historical exploration work was conducted at the Dark Star area from 1990 through 1999 by Crown, Westmont, Cyprus, Cameco and RSM, Mirandor, and Kinross, as summarized in Table 6-2. In 1990, Crown identified a surface gold anomaly through rock and soil sampling in what became the Dark Star deposit.
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Drilling in 1991 confirmed the presence of subsurface gold mineralization at Dark Star. Further historical drilling identified an approximately north-south-trending mineralized zone that became known as the Dark Star Corridor. Historical drilling is summarized in Section 10.
Table 6-2: Summary of Historical Exploration in the Dark Star Area
Year | Company | Exploration |
1984 | Cyprus-AMAX | - | 9 rotary holes drilled |
1990 | Crown | - | Discovery and definition of Dark Star surface mineralization with rock chip and soil samples. |
1991 | Crown, Westmount Resources Inc. | - | 38 holes; detailed rock and soil sampling; geologic mapping; drilled 6 reconnaissance holes peripheral to the Dark Star deposit. |
| | - | 3 holes north of the Dark Star mineralized zone. |
1992 | Crown | - - | 33 holes; detailed CSAMT survey; detailed palynology studies to better define Dark Star stratigraphy; Estimated mineral resource of 7.0 million tons at 0.75 g Au/t (0.022 oz Au/ton) or 154,00 oz of gold* in Section 25 (Calloway, 1992). |
1994 | Crown | - | updated estimated mineral resource of Pan Antilles Resources of 7.5 million tons 0.69 g Au/t (0.0.020 oz Au/ton) or 151,000 oz Au* (McCusker and Drobeck, 2012). |
1994-1995 | Cyprus | - - | 9 holes drilled to the north of the Dark Star mineralized zone (not in Gold Standard’s database); Estimated a mineral resource of 7.7 million tons at 0.69 g Au/t or 170,000 oz Au*. |
1997 | Cameco, RSM | - | Gradient IP/Resistivity survey completed between Dark Star and Dixie |
1997 | Mirandor | - | 11 holes drilled north and west of Dark Star mineralized zone. |
1998 | Kinross, Mirandor | - | 7 holes drilled just north of mineralized zone. |
1999 | Kinross, Mirandor | - | 6 holes drilled northwest of mineralized zone. |
* The mineral resource estimates summarized in Table 6-2 were calculated prior to the introduction of the standards set forth in NI 43-101 and are not in accordance with that Instrument. The authors of this Technical Report have referred to these estimates as “historical resources” and are not treating them, or any part of them, as current mineral resources. There is insufficient information available to properly assess data quality, estimation parameters and standards by which the estimates were categorized, and the authors have not done sufficient work to classify these historical mineral resources as current mineral resources. The historical mineral resource estimates described above should not be relied upon and are relevant only for historical completeness. |
The Jasperoid Wash prospect is located 4.7 mi southwest of the Dark Star deposit (Figure 4-1). In 1988, Westmont conducted geologic mapping, and rock and soil sampling over the Jasperoid Wash and Black Creek regional area. The geochemical sampling identified a large anomalous mineralized system and a 13-hole RC drilling program followed in 1989. Nine of the 13 holes drilled in 1989 intersected intervals of ≥0.01 to 0.03 oz Au/ton (0.34 to 1.03 g Au/t). Follow- up drilling programs were conducted in 1990, 1991, and 1992 by drilling 34 RC and three core holes. Low-grade gold mineralization was intersected in 22 of the holes (Jones and Postlethwaite, 1992). This historical drilling is summarized in Section 10.1.
In 1997, Cameco collected 35 rock-chip samples to test the anomaly within the hydrothermally altered Diamond Peak and Chainman-Dale Canyon formations of the Jasperoid Wash prospect. Four RC holes were drilled, totalling 1,825 ft, targeting structural intersections. Significant gold mineralization was not intersected in the 1997 drilling at Jasperoid Wash, although two of the holes intersected low-grade, anomalous mineralization (Parr, 1998).
In 1998, Cameco completed gradient IP/Resistivity geophysical surveys over the Jasperoid Wash area and identified a large zone of low chargeability and high resistivity in the western part of the survey area. This was reportedly tested in 1998 by four RC holes totalling 2,220 ft. Significant gold mineralization was not intersected in the drilling, although two of the drill holes intersected low-grade anomalous gold (Parr, 1999).
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6.2.4 | Other Prospects in the South Railroad Portion of the Property |
Historical exploration has taken place intermittently since 1980 at several locations approximately 2.2 to 4.7 mi southwest and south of the Dark Star and Pinion deposits as summarized below, and at the Irene prospect west of the Pinion deposit.
The Dixie or Dixie Creek area, which is located 2.2 mi south of the Dark Star deposit (Figure 4-1), has been explored intermittently since 1980 by various operators. The majority of the historical exploration work has been regional to semi- detailed in nature. In 1997, Cameco conducted rock sampling at the Pinion, Dark Star, and Dixie areas. The 1997 rock sampling at the Dixie area was intended to examine the nature of surface mineralization, in greater detail, and to compare this data with results of the then recently completed drill holes at the prospect. At the main Dixie area, a group of 32 rock samples defined a distinct, >1,500 ppb Hg anomaly with elevated Au, As, Sb, and Ag (Parr, 1999). This anomaly was found to roughly correspond with gold mineralization in the subsurface. Immediately to the north, a North Dixie anomaly was identified that was characterized by similar chemistry (elevated Hg, Au, As, and Sb). Farther north, a group of 15 rock samples collected between the Pinion and Dark Star areas defined a similar zone at the “CISS” area where six samples contained 20-135 ppb Au, including As values up to 940 ppm, Sb up to 161 ppm, and Hg up to 15 ppm.
In addition to the rock sampling, Cameco completed limited induced potential and resistivity (“IP/Resistivity”) geophysical surveys at several prospects including the Dixie area in 1997 and 1998. The IP/Resistivity surveys at Dixie identified broad zones of contrasting high and low resistivity, and corresponding zones of high chargeability (Parr, 1999).
The first documented drill program at the Dixie prospect was conducted by Freeport in 1988 and 1989, during which 26 holes were drilled in a joint venture with Crown. In 1991, Crown completed seven RC holes and later Cameco drilled 11 RC holes at the Dixie prospect. This historical drilling is summarized in Section 10. The drilling identified a zone of low-grade gold mineralization within Pennsylvanian siliciclastic and carbonate rocks above the contact between the Webb Formation and the underlying Devils Gate Limestone. This important contact between the Webb Formation and the underlying Devils Gate Limestone was not intersected by any of the historical Dixie Creek drilling (Redfern, 2002). The mineralization intersected at Dixie Creek is hosted in rocks that are similar in nature to the host rocks for the Dark Star gold mineralization (see Section 7.2.2.2).
The JR Buttes prospect is located 2.8 mi southwest of the Dark Star deposit. Geological mapping was completed over the JR Buttes area by an unknown company in 1977. This work outlined a zone of intense silicification over an interpreted graben structure (Dufresne and Nicholls, 2017a). In 1992, Westmount conducted rock chip, reconnaissance soil sampling, and detailed mapping, followed by a 19-hole RC drill program of 8,365 ft. The drilling was designed to test for mineralization adjacent to the graben structural zone. Mineralization defined by silicification, arsenic, and gold concentrations was intersected along the western boundary fault of the graben. No mineralization was intersected along the eastern side of the graben (Jones and Postlethwaite, 1992). In 1994, Cyprus drilled three RC holes, and Cameco drilled one RC hole in 1998. The JR Buttes drilling is summarized in Section 10.3.
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Newmont carried out drilling in the Irene area during 1981-1982 and 1987-1989. Altogether, a total of 42 holes were drilled as summarized in Section 10.3.2 and Section 10.3.6.
6.3 | Historical Mineral Resource Estimates |
Several historical mineral resource estimates have been estimated by a variety of companies for the Pinion and Dark Star deposits prior to the implementation of NI 43-101. The reader is advised that the historical mineral resource estimates are not in accordance with NI 43-101 and should therefore not be relied upon. A qualified person has not done sufficient work to classify the historical mineral resources as current mineral resources or mineral reserves. Historical mineral resources at Dark Star and Pinion are superseded by the current mineral resources estimated by MDA and presented in this Technical Report. At POD, North Bullion, and Sweet Hollow the mineral resources by APEX presented in Section 13 of this Technical Report are current mineral resources. The historical mineral resources described below are relevant only for historical completeness and are not being treated as current mineral resources or mineral reserves by Gold Standard.
6.3.1 | Pinion Deposit Historical Estimates |
The first documented historical mineral resource estimate for the Pinion deposit was completed by Crown in 1991 (Calloway, 1992). The 1991 estimate included information from 194 drill holes in the Main zone and North zone. The estimate used a cross-sectional polygonal method, a gold cutoff grade of 0.001 oz Au/ton (0.34 g Au/t), and a tonnage factor of 13.0 ft3/ton (density of 2.464 g/cm3). A “geologic” mineral resource of 8.11 tons (7.36 million tonnes) of material averaging 0.026 oz Au/ton (0.89 g Au/t) was calculated, containing approximately 210,000 troy ounces of gold (Table 6-3). The authors have not done sufficient work to classify these historical estimates as current mineral resources or mineral reserves, and Gold Standard is not treating these historical estimates as current estimates. These historical mineral resource estimates are superseded by the current mineral resource estimate described in Section 14.3 and are relevant only for historical completeness.
Table 6-3: Historical Pinion Deposit Estimated Mineral Resources
Mineral Resource* | Year | Tons (x106) | Tonnes (x106) | Gold Grade | Silver Grade | Cut-off Grade | Contained Ounces |
oz Au/ton | g Au/t | oz Au/ton | g Au/t | oz Au/ton | Au | Ag |
Crown (Calloway, 1992a) | 1991 | 8.11 | 7.36 | 0.026 | 0.891 | - | - | 0.01 | 210,860 | - |
Polygonal (Wood,1995) | 1995 | 30.64 | 27.8 | 0.026 | 0.89 | - | - | 0.01 | 796,640 | - |
MIK (Wells, 1995) | 1995 | 18.26 | 16.56 | 0.0269 | 0.92 | - | - | 0.01 | 491,194 | - |
Bharti (Bharti Eng., 1996) | 1996 | 10.8 | 9.8 | 0.025 | 0.857 | 0.157 | 5.383 | - | 270,000 | 1,695,600 |
*The mineral resource estimates summarized in Table 6-3 are not consistent with current CIM standards for mineral resource estimation and classification. The authors have not done sufficient work to classify these historical estimates as current mineral resources or mineral reserves, and Gold Standard is not treating these historical estimates as current estimates. These historical mineral resource estimates are superseded by the current mineral resource estimate described in Section 14.3 and are relevant only for historical completeness. Calloway (1992a) in table is Calloway (1992) of this Technical Report. |
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Historical mineral resource estimates were updated for the Pinion deposit in 1995 by Cyprus (Table 6-3). They comprise a polygonal estimate (Wood, 1995) and a Multiple Indicator Kriging (“MIK”) estimate that used Mintec’s MED System software (Wells, 1995). The polygonal estimate incorporated high-density and low-density drilling at, and surrounding, the two zones of mineralization and utilized a tonnage factor of 12.50 ft3/ton (density of 2.563 g/cm3). Polygons were constructed using cross-sectional drill-hole information and were classified as “proven” in areas where drill density was 100 ft, and where polygons were projected 50 ft on either side of a section. Polygons with drill-hole spacing between 100 ft and 200 ft were classified as “probable” and those with drill hole spacing over 200 ft, were classified as “inferred.” The mineral resource was calculated by summing all polygons with an average grade above a cutoff of 0.001 oz Au/ton (0.34 g Au/t). The original classification of the 1995 polygonal Pinion mineral resource is not consistent with CIM standards. The summary provided in Table 6-3 is taken from the original report and represents a summation of all three of the historical mineral resource categories into a global historical mineral resource.
The 1995 Cyprus polygonal mineral resource (Table 6-3) was calculated using ~350 drill holes, but the estimate incorporated very few density measurements and a very limited amount of quality control/quality assurance (“QA/QC”) data were available. The Cyprus historical mineral resources included drill-hole data and estimates for mineral resources in Section 27. Cyprus also produced an MIK estimate for the Pinion deposit in 1995 utilizing a similar database to that of the 1995 Cyprus polygonal mineral resource described above. The same tonnage factor of 12.50 ft3/ton (density of 2.563 g/cm3) as the polygonal mineral resource was used and grade was applied to a 50 ft x 50 ft x 20 ft block model using Mintec’s MED System software and an MIK grade-estimation algorithm. Following the estimation process, Lerchs-Grossman pit models were run for $400/oz and $700/oz gold price scenarios using various parameters including: a) 45° maximum pit slopes; b) a $2.51/short ton crushed ore cost (crushing processing, pad construction, and G&A); c) 48% recovery for ROM material; and d) 62% recovery for crushed material. A lower cutoff grade of 0.008 oz Au/ton (0.274 g Au/t) was employed for the ROM material and 0.014 oz Au/ton (0.49 g Au/t) was utilized for the crushed material for the $700/oz scenario. A lower cutoff of 0.009 oz Au/ton (0.31 g Au/t) was utilized for the combined ROM/crush material for the $400/oz scenario. In a mineral resource summary document by Wells (1995), it is clearly stated that the mineral resource work relied on estimations for key factors such as density, recovery, and optimal crush size due to limited test work.
In 1996, RSM contracted Bharti Engineering (“Bharti”) of Toronto, Canada, to conduct mineral resource estimation on the Pinion Main and North zones within Section 22 in T30N, R53E and excluded data within Section 27 (Table 6-3; Bharti Engineering, 1996). The mineral resource estimate utilized GEMCOM mining software and although not clearly stated, it is thought that the Inverse Distance Squared (ID2) grade-estimation algorithm was used to apply grade to a 50 ft x 50 ft x 20 ft block model. Samples (5 ft average length) were uncapped and composited to 20 ft, with a minimum of two and a maximum of 12 data points required for modeling. The Bharti estimate (Table 6-3) comprised a “global resource,” without cutoff grade, of 9.8 million tonnes at 0.025 oz Au/ton (0.86 g Au/t), representing a total of 273,800 contained ounces of gold. A qualified person has not done sufficient work to classify the historical mineral resources as current mineral resources or mineral reserves and the historical mineral resources are superseded by the current mineral resource estimates presented in Section 14.3 of this Technical Report. The historical mineral resources described above are relevant only for historical completeness and are not being treated as current mineral resources or mineral reserves by Gold Standard. This estimate incorporated more data but is otherwise comparable to the 1991 Crown polygonal estimate discussed above. A Whittle pit was run for the 1996 mineral resource estimate using a gold price of $390/oz, a recovery of 67%, total operating costs of $5.75/ton, a 4% Royalty, 50° maximum pit slope and dilution estimated at 10%. Using these values, two potential pits were generated for the Main zone and North zone totaling only 2.99 million tonnes and averaging 0.026 oz Au/ton (0.89 g Au/t), which represented approximately 85,750 ounces of gold. Of that, 57,400 ounces was considered recoverable. A qualified person has not done sufficient work to classify the historical mineral resources as current mineral resources ore mineral reserves and historical mineral resources are superseded by the current mineral resource estimates presented in Section 14.3 of this Technical Report. The historical mineral resources described above are relevant only for historical completeness and are not being treated as current mineral resources or mineral reserves by Gold Standard. As with the previously discussed historical mineral resource estimates, this 1996 estimate incorporated limited density, QA/QC and recovery information and its geographic limitation to Section 22 in turn limited the applicability of the mineral resource estimate as it excluded a significant amount of drill data in the northern part of Section 27.
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6.3.2 | Dark Star Deposit Historical Estimates |
Based upon the 1991 to 1993 drilling results, Crown and Cyprus estimated mineral resources in 1992 and 1994, prior to the 1997 to 1999 drill holes completed by Mirandor and Kinross. The historical mineral resource estimates discussed below should not be relied upon and they are superseded by the current mineral resources estimate presented in Section 14.2 of this Technical Report.
Calloway (1992) described the 1992 Crown estimate for the Dark Star deposit as follows:
“Crown Resources has delineated a geologic resource in the Dark Star discovery area of approximately 7.0 MT @ 0.022 opt Au, or 154,000 oz of contained gold. Mineralization remains open in three directions. Calculations of the Dark Star geological resource utilized nearest neighbor and ordinary kriging methods, with a 0.010 opt cutoff, minimal 15 ft benches, and a 13.5 ft3/st density factor.”
There are no other details provided for the 1992 Crown estimate by Calloway (1992). The estimate is considered historical and should not be relied upon. The authors have not done sufficient work to classify these historical estimates as current mineral resources or mineral reserves, and Gold Standard is not treating these historical estimates as current estimates. These historical mineral resource estimates are superseded by the current mineral resource estimate described in Section 14.2 and are relevant only for historical completeness.
In 1994, a consultant on behalf of Crown constructed a polygonal mineral resource estimate for the Dark Star deposit (Table 6-4) using GEO-MODEL and PC-XPLOR modules of GEMCOM (Peek, 1994; McCusker and Drobeck, 2012). The estimated mineral resource was based upon a polygonal methodology using composited drill-hole intervals and cross sections at 100 ft intervals. Tonnages, grade, and total ounces were calculated using polygons of 50 ft width on either side of each cross-section. The 1994 estimate did not include any geostatistics on variability or capping, no geologic constraints, no down-hole surveys, no QA/QC data evaluation, and no mention of density measurements. Peek (1994) utilized an assumed tonnage factor of 13.50 ft3/ton (density of 2.375 g/cm3) for the estimate. No economic constraints other than a lower-grade cutoff were applied to the mineral resource estimate.
Table 6-4: 1994 Dark Star Historical Crown Mineral Resource Estimate
Mineral Resource (Reference) | Tons (x 106) | Tonnes (x 106) | Gold Grade (oz Au/ton) | Gold Grade (g Au/t) | Cut-off Grade (oz Au/ton) | Cut-off Grade (g Au/t) | Contained Au (oz) |
Polygonal (Peek, 1994) | 11.5 | 10.43 | 0.0168 | 0.576 | 0.010 | 0.343 | 193,709 |
7.55 | 6.85 | 0.0201 | 0.689 | 0.013 | 0.446 | 151,481 |
Note: The authors have not done sufficient work to classify these historical estimates as current mineral resources or mineral reserves, and Gold Standard is not treating these historical estimates as current estimates. These historical mineral resource estimates are superseded by the current mineral resource estimate described in Section 14.2, are relevant only for historical completeness and should not be relied upon. |
In December 1995 to January 1996, Cyprus personnel estimated a polygonal mineral resource estimate for the Dark Star deposit with data from ~81 drill holes, utilizing a lower-grade cutoff, a pit shell, internal dilution, and a stripping ratio of 1.5:1, in a manner that was consistent with industry standards at that time (DeMatties, 2003). Polygons were constructed on cross sections using drill-hole information and were classified as “proven” in areas where drill density was 100 ft and polygons were projected 50 ft on either side of a section. Polygons with drill-hole spacing between 100 ft and 200 ft were classified as “probable” and those with spacing >200 ft were classified as “inferred.” The Dark Star mineral resource was estimated by summing all polygons with an average grade 0.001 oz Au/ton (0.34 g Au/t). A tonnage factor of 12.50 ft3/ton (density of 2.563 g/cm3) was used. Very few density measurements and little or no QA/QC data were incorporated (DeMatties, 2003).
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The 1995-1996 Cyprus estimate for Dark Star is summarized in Table 6-5. It represents a global historical “geological” mineral resource as of January 1996 and does not include the drilling by Mirandor and Kinross in Section 24. Although the Dufresne and Nicholls (2016) review established a high quality for the data used in the 1995-1996 estimate, there is insufficient information available to properly assess all of the estimation parameters and the standards by which the estimate for Dark Star was categorized. The authors have not done sufficient work to classify these historical estimates as current mineral resources or mineral reserves, and Gold Standard is not treating these historical estimates as current estimates. The historical mineral resource estimate for Dark Star should not be relied upon, it is relevant only for historical completeness, and it is superseded by the current mineral resource estimate presented in Section 14.2 of this Technical Report.
Table 6-5: Dark Star Deposit 1995-1996 Cyprus Mineral Resource Estimate
Mineral Resource | Tons | Tonne | Gold Grade | Cut-off Grade | Contained |
(Reference) | (x 106) | (x 106) | (opt) oz Au/ton | (g Au/t) | (opt) oz Au/ton | (g/t Au)/t | Au (oz) |
Polygonal DeMatties 2003; Cyprus 1995-1996 | 7.72 | 7.00 | 0.020 | 0.690 | 0.01 | 0.34 | 151,365 |
6.3.3 | POD (Railroad) Deposit Historical Mineral Resources 1985 - 2003 |
The first estimate of gold mineral resources at the POD deposit was made by Kuhl (1985) using the data from NICOR’s drilling (Table 6-6). A rectangular-block polygonal estimate was used with the following parameters:
| · | Data projected half way to the adjoining drill hole or 100 ft; |
| · | Inclusion of intercepts less than 0.030 oz Au/ton (1.03 g Au/t) if the outlying intervals brought the overall average to equal 0.030 oz Au/ton (1.03 g Au/t); |
| · | Minimum 10 ft intercept in the drill hole; |
| · | All calculations made using fire assay intervals; |
| · | No stripping ratio calculated; and |
| · | No metallurgical recovery information utilized. |
Bartels (1999) re-estimated the gold mineral resource at the POD (Railroad) deposit (Table 6-6) with a cross-sectional method based on 58 holes on 27 cross sections spaced 100 ft apart using the following assumptions:
| · | Tonnages were calculated using a tonnage factor of 12.50 ft3/ton (density of 2.563 g/cm3); |
| · | Assay values include silver credits at a 60:1 ratio; |
| · | Compositing of assay values was done according to the following conventions: |
| · | Intervals of low grade (<0.030 oz Au/ton, or <1.030 g Au/t) up to 15 ft thick, bound on both sides by >0.030 oz Au/ton (>1.030 g Au/t) values were included within the “ore” envelope only if the average of the low grade and the upper- and lower-bounding values were ≥0.030 oz Au/ton (≥1.030 g Au/t); |
| · | No capping of high-grade assay values was done; |
| · | Volumes were determined by projecting the contoured “ore” areas 50 ft on either side of the section plane; |
| · | An average grade was assigned to each area by determining the weighted average grade of all drill intercepts within the “ore” envelope; and |
| · | Average grade was assigned to the respective volume and contained ounces were calculated. |
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Masters (2003a) re-estimated the gold contained within the POD (a.k.a. Railroad) zone (Table 6-6) utilizing a cross- sectional polygonal method with 71 holes on 15 cross sections approximately spaced 100 ft apart using the following methodology and assumptions:
| · | Tonnages were calculated using a tonnage factor of 12.50 ft3/ton (density of 2.563 g/cm3); |
| · | Mineralization was categorized as oxidized (cyanide soluble gold within the Webb siltstone) and refractory gold (primarily within carbonaceous, sulfidic, unoxidized Webb siltstone); |
| · | The oxidized and refractory gold categories were sub-divided into grade shells of 0.001 oz Au/ton to 0.20 oz Au/ton and >0.20 oz Au/ton (0.34 g Au/t to 0.69 g Au/t and >0.69 g Au/t), and an additional category of mineralization for refractory gold at depths above 300 ft depth was also considered; and |
| · | Each mineralization category was estimated separately for tons, ounces and grade. |
Masters (2003b) also presented the first estimation for gold contained within the East Jasperoid zone (Table 6-6) located immediately to the east of the POD zone, located immediately to the east of the POD zone. Estimation was completed utilizing a cross-sectional method on four sections spaced 100 ft apart.
Table 6-6: POD Deposit Historical Mineral Resource Estimates 1985 - 2003
Resource Area | Tons | Tonnes | Contained Ounces Au | Average Au Grade | Cutoff Au Grade | Reference |
(opt) oz Au/ton | (g Au/t) | (opt) oz Au/ton | (g Au/t) |
POD | 1,197,400 | 1,086,280 | 107,766 | 0.090 | 3.09 | 0.030 | 1.03 | Kuhl, 1985 |
POD | 1,400,000 | 1,270,080 | 112,000 | 0.080 | 2.74 | 0.020 | 0.69 | Kuhl, 1985 |
POD | 1,006,665 | 913,250 | 89,731 | 0.089 | 3.05 | 0.030 | 1.03 | Bartels, 1999 |
POD | 2,654,112 | 2,407,810 | 134,445 | 0.0506 | 1.73 | 0.010 | 0.34 | Masters, 2003a |
East Jasperoid | 1,013,808 | 919,727 | 31,742 | 0.031 | 1.06 | 0.010 | 0.34 | Masters, 2003b |
Note: The historical mineral resource estimates summarized in Table 6-4 were performed prior to the implementation of the standards set forth in NI 43-101 and are relevant only for historical completeness. There is insufficient information available to properly assess the estimation parameters and the standards used. The authors have not done sufficient work to classify these as current mineral resources, Gold Standard is not treating them as current mineral resources and they have been superseded by the current resources presented in Section 13. These historical mineral resources should not be relied upon. |
6.4 | Historical Mine Production |
The North Railroad portion of the property covers the historic Railroad district. Ketner and Smith (1963) suggested that historic production records for the district are not very reliable for the period between 1869 and 1905. Only the total volumes of tons mined, and commodity produced were reported, if they were reported. They estimated the total value of production through 1956 to be worth $2 million using the value of the commodity produced for the year it was produced. Ketner and Smith (1963) reported 43,940 total tons of ore were mined with mineral production distributed as follows:
| · | Copper - 2,850,000 pounds |
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There has been no mineral production reported for the South Railroad portion of the property.
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SECTION 7 TABLE OF CONTENTS
SECTION | | PAGE |
7 | GEOLOGICAL SETTING AND MINERALIZATION | 7-1 |
| 7.1 | REGIONAL GEOLOGIC SETTING | 7-1 |
| 7.2 | LOCAL AND PROPERTY GEOLOGY | 7-4 |
| | 7.2.1 | North Railroad Portion of the Property | 7-6 |
| | 7.2.2 | South Railroad Portion of the Property | 7-8 |
| 7.3 | MINERALIZATION | 7-11 |
| | 7.3.1 | North Bullion Deposits | 7-11 |
| | 7.3.2 | Pinion Deposit | 7-13 |
| | 7.3.3 | Dark Star Deposit | 7-14 |
| | 7.3.4 | Jasperoid Wash Deposit | 7-15 |
SECTION 7 LIST OF FIGURES
FIGURE | DESCRIPTION | PAGE |
Figure 7-1: | Regional Geology of the Railroad-Pinion Property | 7-2 |
Figure 7-2: | Long Section through the Carlin Trend | 7-3 |
Figure 7-3: | Gold Standard Property Geologic Map | 7-5 |
Figure 7-4: | North Bullion Stratigraphic Column | 7-7 |
Figure 7-5: | Stratigraphic Column for the Pinion, Dark Star, and Jasperoid Wash Deposit Areas | 7-9 |
Figure 7-6: | North Bullion Cross Section N 14727034 ft (N4488800 m) | 7-12 |
Figure 7-7: | Pinion Deposit Geology, Section N14696129 ft (N4479380 m) | 7-14 |
Figure 7-8: | Dark Star Geologic Cross Section N14696850 ft (N4479600 m) | 7-15 |
Figure 7-9: | Jasperoid Wash Geologic Cross Section N14675853 ft (4473200N m) | 7-16 |
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7 | GEOLOGICAL SETTING AND MINERALIZATION |
This section summarizes the geologic setting and mineralization of the Pinion-Railroad property, which includes the Dark Star, Pinion, Jasperoid Wash, and North Bullion area deposits. This section is based on the descriptions and information provided by Dufresne and Nicholls (2016), Hunsaker (2010; 2012a; 2012b), Koehler et al. (2014), Shaddrick (2012), and sources cited therein. The authors have reviewed this information and believe it accurately represents the geology and mineralization as currently understood.
References to Tomera Formation equivalent stratigraphy have been noted historically. However, recent work suggests these units in the Railroad-Pinion property may not be of equivalent age, so all usage of Tomera Formation equivalent in this Technical Report refer to units that are Pennsylvanian-Permian undifferentiated.
7.1 | Regional Geologic Setting |
The Railroad-Pinion property is located in the southern portion of the Carlin trend, a northwest-southeast alignment of sedimentary-rock hosted gold deposits and mineralization, as shown in Figure 7-1. The property is centered on the Railroad dome, or “window” in the Piñon Range (Mathewson, 2002) as shown in Figure 7-2. Such domes or “windows” consist of upright folds in horsts of Paleozoic rocks of the Roberts Mountains autochthon, exposed by erosion, that were favorable for the formation of Carlin-style gold deposits (Jackson and Koehler, 2014). In the case of the Railroad and other “windows” within the Carlin trend, pulses of Mesozoic and Cenozoic magmatism intruded the folds and related faults (Figure 7-2).
The Carlin trend was within the passive, western continental margin of North America during the early and middle Paleozoic time, which is the time of deposition of the oldest rocks observed in the area (Stewart, 1980). A westward- thickening wedge of sediments was deposited at and west of the continental margin, in which the eastern depositional facies tend to be coarser and carbonate-rich (shelf and slope deposits, carbonate platform deposits) while the western facies are primarily fine-grained siliciclastic sediments (deeper basin deposits). The Carlin trend is proximal to the shelf- slope break, although this break was not static over time.
In the Late Devonian through Middle Mississippian, east-west compression during the Antler Orogeny produced folds and thrust faults, the most significant manifestation of which is the Roberts Mountain Thrust. This regional, low-angle fault placed western facies siliciclastic rocks over eastern facies carbonate rocks across the region. In this Technical Report the western facies are referred to as allochthonous whereas the eastern facies are autochthonous. As a result of this tectonism, the Mississippian and Pennsylvanian overlap assemblage of clastic rocks was deposited across the region (Smith and Ketner, 1975). Late Paleozoic sedimentary rocks in the Piñon Range are interpreted as structurally interleaved allocthonous and autochthonous sequences (Longo et al., 2002; Mathewson, 2001; Rayias, 1999; Smith and Ketner, 1975).
Multiple igneous intrusions occur along the Carlin trend. The oldest igneous rocks are reported to be Late Triassic in age (Teal and Jackson, 2002).
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Figure 7-1: Regional Geology of the Railroad-Pinion Property
(from Dufresne and Nicholls, 2017a; after Crafford, 2007)
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Figure 7-2: Long Section through the Carlin Trend
Other igneous rocks include: a Late Jurassic dioritic intrusion documented at the Goldstrike gold deposit (Bettles, 2002); intermediate to mafic dikes of Jurassic and Cretaceous age; the Cretaceous, quartz monzonite Richmond stock; the Eocene age Welches Canyon stock; and hydrothermally altered and locally gold-bearing felsic to mafic dikes of Eocene age (Ressel, 2000). The Eocene-age Bullion stock (Henry et al., 2015) is situated between the North Bullion and Pinion gold deposits within the Railroad-Pinion property (Figure 7-1 and Figure 7-2).
Late Eocene and Miocene volcanic rocks were erupted over large areas of the region. These predominantly consist of ash-flow tuffs and lava flows, mainly of rhyolitic compositions, as well as volumetrically smaller amounts of andesitic and basaltic lavas. Sequences of lacustrine sedimentary and volcanic-sedimentary rocks, as young as Pliocene in age, interfinger with and overlie the Cenozoic volcanic cover rocks.
Major regional extension commenced in mid-Miocene time. The extension was generally east-west directed, has continued to the present, and is manifested in the Basin and Range topography. The extensional faulting varies from normal-displacement, block faulting to listric-style faulting with progressively greater extension. The significant consequence of extensional faulting has been the dismemberment and tilting of pre-existing rocks, and development of range-scale horsts and grabens.
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7.2 | Local and Property Geology |
The property is within the central part of the Piñon Range, which is comprised of Ordovician through Permian marine sedimentary rocks (Smith and Ketner, 1975; Figure 7-3) that form a structural dome. At least one large-scale, asymmetric anticline is present, but younger horst and graben structure developed within a framework of overprinted high-angle faults is a prominent feature of the range. Tertiary sedimentary rocks deposited in shallow, freshwater lakes and overlying intermediate to felsic Tertiary volcanic rocks are present on the flanks of the range and within adjacent grabens (Figure 7-3).
Four prominent high-angle fault directions have been identified including west-northwest, north-south, northwest, and northeast-striking faults. The north-south-striking Bullion fault corridor separates the Tertiary volcanic rocks to the east from the Paleozoic sedimentary units in the range. Northwest- and west-northwest-striking faults occur across the project area and include the South and Main faults at Pinion and the Saddle fault at Dark Star. Some of the faults are low-angle. Drilling indicates that multiple episodes of low-angle fault displacements have juxtaposed Devonian carbonate rocks and Mississippian rocks, resulting in interleaved sections of the Devonian Devils Gate Limestone and Webb Formation, as well as Webb age-equivalent rocks of the Tripon Pass Formation (Hunsaker, 2012b).
A complex of Eocene igneous rocks, centered south of Bald Mountain, have intruded the Paleozoic sedimentary units in the core and east flank of the range (Figure 7-3). Twenty-four samples of intrusive and volcanic rocks from the project area have been studied by Dr. Christopher Henry of the Nevada Bureau of Mines and Geology. Petrography, chemical analyses, and 40Ar/39Ar and U-Pb zircon age dates have led to an interpretation that at least 10 distinct igneous rock types at the project were emplaced during at least four distinct episodes between 38.9 and 37.5 Ma, associated with the Indian Well volcanic field (Henry et al., 2015).
The Railroad-Pinion area geology is summarized in two parts that correspond to the North Railroad portion of the property, and the South Railroad portion of the property.
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Figure 7-3: Gold Standard Property Geologic Map
(from Dufresne et al., 2017; modified after Smith and Ketner, 1978)
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7.2.1 | North Railroad Portion of the Property |
7.2.1.1 | North Bullion Area Geology |
The North Bullion horst is bounded to the east and northwest by younger, generally flat lying, dacitic to rhyolitic tuffs of the Indian Well Formation (Figure 7-3; Henry et al., 2015). The Indian Well Formation contains phenocrysts of quartz, sanidine, hornblende, and biotite within a pink to grey groundmass, and rests on top of an angular unconformity above the underlying, Eocene-age Elko Formation in the eastern hanging wall of the North Bullion fault zone (“NBFZ”). The Elko Formation is exposed within the eastern hanging wall of the NBFZ in the northern part of the property, as shown in Figure 7-3, and consists of thick- to thinly bedded mudstone, sandstone, chert pebble conglomerate, freshwater limestone, and tuffaceous sediments (Stewart, 1980; Smith and Ketner, 1976).
The North Bullion horst consists of thick bedded, fining upward, conglomerate, and mudstone of the Mississippian Chainman Formation which contains 3 ft to 30 ft (1 m to 7 m) thick dacite sills from 330 ft to 650 ft (100 m to 200 m) below the surface. Dacite dikes occur along steeply dipping faults within the NBFZ (Jackson et al., 2015). In between the upper and lower Chainman Formation is a sequence of mixed carbonate and siliciclastic rocks, which are interpreted to belong to the Mississippian Tripon Pass Formation (Longo et al., 2002; Matthewson, 2001; Oversby, 1973). Two limestones within the Tripon Pass Formation act as informal marker units. Limestone 1 is a dark-grey, laminated to thinly bedded micrite located at the top of the Tripon Pass Formation, and limestone 2 is a grey, medium- to thick-bedded calcisiltite to calcarenite located approximately 180 ft (55 m) below limestone1 (Figure 7-4). The Tripon Pass Formation hosts the upper gold zone of the North Bullion deposit and locally contains >0.175 oz Au/ton (>6 g Au/t). The Tripon Pass Formation is underlain by the variably bedded sandstone, conglomerate, and silty mudstones of the Mississippian Chainman Formation.
Underlying the Chainman Formation, in low-angle fault contact, is the Devonian Devils Gate Limestone (Devils Gate Limestone of Figure 7-3). It is composed of grey, thick-bedded calcarenite and minor micrite, between 200 to 500 ft (60 to 150 m) in thickness. Dissolution-collapse breccia developed at the top of the Devils Gate Limestone is host to high-grade gold within the lower zone at North Bullion (Jackson et al., 2015). In the northern portion of the deposit, silty mudstone of the Mississippian Webb Formation and silty micrite of the Mississippian Tripon Pass Formation (Figure 7-4), are important hosts to gold, and are preserved along the low-angle fault contact between the Chainman Formation and the Devils Gate Limestone. Beneath the Devils Gate Limestone there is a transitional contact into the Sentinel Mountain Dolomite, which has an average thickness of 500 ft (150 m) and is in transitional contact with calcareous sandstone of the underlying Oxyoke Formation (Oxyoke Sandstone in Figure 7-4). The cross-bedded Oxyoke is approximately 400 ft (120 m) in thickness and consists of well-rounded quartz grains, which are either matrix- or grain- supported. There is tectonic and dissolution-collapse breccia that extends from the lower contact of Tripon Pass limestone to the top of the Devils Gate Limestone between the Massif and West Strand faults. The deepest drill holes at North Bullion bottomed in thin- to thick-bedded dolomite of the Devonian Beacon Peak Dolomite (Figure 7-4).
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Figure 7-4: North Bullion Stratigraphic Column
(from Jackson et al., 2015)
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Jackson et al. (2015) described the structural effect on geology at North Bullion as follows:
“North Bullion (gold deposit) occurs in a triangular shaped horst in the footwall of the major north-striking, steeply east-dipping, North Bullion Fault Zone (NBFZ). The western edge of the horst is bounded by a northeast-striking, northwest-dipping fault. The NBFZ is 300 m [985 ft] wide and apparent normal displacement across the NBFZ is greater than 600 m [1,970 ft], as constrained by the deepest holes into the Indian Well Formation volcanic rocks that fill the Bullion graben to the east. Chainman sandstone occupies the center of the horst, and the variable strikes and dips at the surface indicate an open fold is centered on the horst. The western edge of the horst is bounded by a N50E striking, northwest-dipping fault. The triangular shape of the horst is well represented in structure contours on the top of the Devils Gate Limestone.”
“Intrusive relationships and tilting of units indicate the deposit formed during an Eocene event with synchronous intrusion, hydrothermal activity and extensional movement on graben-bounding faults. Dacite sills, dated at 38.8–38.2 Ma, intruded steeply dipping faults within the NBFZ and low angle, bedding parallel faults, capping the gold system. The margins of dacite dikes and sills are commonly sheared and some dacite occurs as clasts within mineralized dissolution-collapse breccia, indicating continued movement along faults and hydrothermal activity after emplacement of the dacite. In fault steps within the NBFZ, the Eocene Elko Formation has the same moderate eastward dip as the underlying Paleozoic rocks. The collapse breccia generally exhibits a flat- tabular textural fabric subparallel to today’s surface. All of this evidence supports the Formation of North Bullion during a very dynamic, focused Eocene event with synchronous extension, intrusion and Carlin-style mineralization.”
7.2.2 | South Railroad Portion of the Property |
7.2.2.1 | Pinion Deposit Area Geology |
The geological setting, stratigraphic units and the overall tectonic history of the Pinion area is the same as that described for the adjacent North Railroad area by Hunsaker (2010, 2012a, 2012bb), Shaddrick (2012), Koehler et al. (2014), Turner et al. (2015), Dufresne and Koehler (2016), and Dufresne and Nicholls (2018). The geology is illustrated in Figure 7-3. A stratigraphic column for the project area is presented in Figure 7-5.
The Pinion deposit area encompasses a sequence of Paleozoic sedimentary rocks exposed within large horst blocks in which the sedimentary rocks have been broadly folded into a south- to southeastward-plunging, asymmetric anticline. The axis of the Pinion anticline can be traced for approximately 2 mi (3.2 km), trends N20°W, and plunges approximately 25° to 30° to the south-southeast (DeMatties, 2003). The apparent dip of the western fold limb ranges from 10° to 35° and the steeper eastern limb dips 25º to 50º. Eastern assemblage formations including the Oxyoke, Beacon Peak, Sentinel Mountain, and Devils Gate formations form the core of the anticline. Siliceous clastic units of the Tripon Pass, Webb, Chainman, and Tonka formations form its limbs (Calloway, 1992a).
The contact between the Devils Gate and Tripon Pass (Figure 7-5) is characterized by a multi-lithic dissolution-collapse breccia (“mlbx”) that ranges from 10 ft to 400 ft (3 m to 120 m) in thickness. The mlbx is characterized by multi-lithic clasts, barite, clay matrix with a silica overprint, and infrequent banded quartz veins. The breccia is thickest on the east limb of the fold and thins along the crest and along the west limb.
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Figure 7-5: Stratigraphic Column for the Pinion, Dark Star, and Jasperoid Wash Deposit Areas
(from Gold Standard 2019; Undifferentiated Pennsylvanian-Permian units are those at Dark Star and Jasperoid Wash)
The Pinion deposit is contained within a northwest-trending horst. Faults on the northeast horst margin are linking structures to the more northerly striking, range-bounding Bullion fault corridor (Norby et al., 2015) and include the locally named Bullion, Linkage, N10E, and Tonka faults. Older N50°W- to N60°W-striking faults (South and Main faults) transect the Pinion deposit and offset the anticline.
At depth, the Devils Gate, Tripon Pass, and Webb formations overlie Mississippian-aged Chainman Formation. This contact was defined by Norby et al. (2015) as gently west-dipping Pinion thrust fault between the overlying Devils Gate to Chainman sequence and the underlying Chainman sequence. On the east limb of the fold, additional localized thrust faults occur above the Pinion thrust fault, resulting in locally repeated sections of Chainman, Webb, and Tripon Pass.
Alteration associated with gold-silver mineralization is primarily silicification of the breccia. There are also zones of abundant disseminated and vein barite, with up to 75% barium determined from x-ray fluorescence analysis. Decalcification of the Tripon Pass and Devils Gate formations along the margins of the breccia have also been observed. Minor clay alteration can be seen along the Main, South, and Bullion faults. Elements associated with gold are silver, antimony, arsenic, barium, and mercury. A type of mineralization with more typically epithermal-like textures is also present at Pinion. Banded fine-grained to fine-cockscomb silica occurs throughout the deposit, locally with stibnite (or oxidized to stibiconite) and elevated silver to 70 ppm.
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Gold and silver mineralization at the Pinion deposit is strongly controlled by the dissolution-collapse breccia at the contact between calcarenite of the Devils Gate Limestone and the overlying silty micrite of the Tripon Pass Formation (Norby et al., 2015). Approximately 90% of the mineralization is hosted within the breccia and is defined locally as the Main zone. The Pinion deposit extends northwards, along the Bullion fault corridor, and is referred to as the North zone. The North zone appears to be a fault offset of the east limb of the Pinion anticline. Low-grade mineralization extends into the footwall of the Bullion fault and is hosted in Sentinel Mountain Dolomite.
The Dark Star deposit is located east of the Pinion deposit (Figure 7-3) and occurs in a 1,300 ft- to 2,000 ft-wide (400 m- to 600 m-wide) structural block of Pennsylvanian-Permian rocks (Harp et al., 2016). A generalized stratigraphic column for the Dark Star area is illustrated in Figure 7-5.
Dark Star lies along the north-south Dark Star fault corridor that has Mississippian Chainman Formation and unconformably overlying Tertiary Conglomerate to the west, and Eocene Indian Wells Formation to the east. These formations are fault bounded by the West fault and Dark Star fault, respectively. Pennsylvanian-Permian undifferentiated conglomerate and calcareous bioclastic units are interpreted to be a Tomera Formation equivalent, a localized unit that occurs at Dark Star and possibly Jasperoid Wash, comprise the horst between these faults. The Pennsylvanian-Permian undifferentiated section is informally broken down into the uppermost unit of siltstone (generally calcareous), a middle unit of calcareous conglomerate (with minor interbedded sandstone), and a lower unit of calcareous siltstone (Figure 7-5). These units are gently folded in a north-south-trending syncline-anticline pair between the West and Dark Star faults.
The Dark Star fault corridor is a prominent north-south-trending fault system consisting of the West, Ridgeline, IDK, East, and Dark Star faults. The corridor has a surface expression of greater than 7.5 mi (12 km) in length. All but the West fault are steeply east-dipping normal faults with 50 ft to 650 ft (15 m to 200 m) of offset. The West fault is a moderately west-dipping fault with displacement of the Chainman Formation over the Pennsylvanian-Permian rocks and may be a continuation or age equivalent to the Pinion thrust fault.
An older set of N°40W- to N60°W-striking faults, the Saddle and Outcrop faults, transect the Dark Star deposit, and appear to offset the mineralization. These appear to be contemporaneous with the N60°W-striking faults at Pinion. Surface mapping has indicated the presence of regional N55°E- to N60°E-striking faults north and south of the Dark Star deposit.
Alteration at Dark Star is dominated by decalcification and silicification of the Pennsylvanian-Permian rocks. Small areas of clay alteration associated with faults have been observed, along with localized barite veins and widespread disseminated barite (Harp et al., 2016). Quartz veinlets, drusy-quartz lining fractures, and banded-quartz occur in the silicified rocks. Several stages of tectonic, collapse, and hydrothermal breccia are recognized throughout the mineralized zone. Alteration of the upper and lower siltstone units is characterized by decalcification, overprinted by argillic and weak silicic alteration.
7.2.2.3 | Jasperoid Wash Geology |
The Jasperoid Wash deposit is located south of the Pinion deposit in a structural block of Pennsylvanian-Permian rocks (Figure 7-3). These rocks are similar to those at the Dark Star deposit as illustrated in Figure 7-5.
The Jasperoid Wash deposit occurs along a linear, north-south-striking structural corridor which is bounded on its east and west sides by major faults. The west-bounding fault juxtaposes Mississippian Tonka Formation against the Pennsylvanian-Permian rocks to the east. A horst block of Pennsylvanian-Permian conglomerate and clastic units is between the two main faults. The Pennsylvanian-Permian rocks are informally assigned to an upper unit of silty limestone, a middle unit of calcareous sandstone and conglomerate, a lower unit of calcareous siltstone, and an underlying conglomerate composed of chert pebbles and a sandstone matrix. These rocks are similar to and may correlate with Tomera Formation equivalent units at Dark Star, but the stratigraphic position relative to known formations is not known at Jasperoid Wash.
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At Jasperoid Wash, the middle sandstone and conglomerate unit crops out at the surface in small crags that are resistant to weathering. This unit is mostly composed of thick beds of debris-flow conglomerate containing clasts of chert and cherty bio-micrite in a silicified, sandy calcarenite to silty-micrite matrix. The lower calcareous siltstone unit is composed of varying thicknesses of interbedded calcisiltite, calcarenite, bioclastic limestone, calcareous sandstone, and minor beds of conglomerate. Outcrops of this unit tend to be less resistant to weathering and are smooth and low- lying.
Dikes of “quartz-eye” rhyolite and feldspar porphyry with a composition close to dacite are present within the Jasperoid Wash deposit and are inferred to be of Tertiary age. These intrusions occur within the structural corridor and at fault intersections. A third type of dike, composed of intensely silicified quartz-feldspar porphyry, crops out north of the deposit. At a fault intersection within the deposit, some outcrops consist of a multi-phased, hydrothermally altered breccia consisting of younger quartz-feldspar porphyry matrix and clasts of dacite and rhyolite. Also, strongly clay- altered and mineralized dacite porphyries with very fine-grained pyrite has been encountered in drilling.
Structurally, the Jasperoid Wash deposit is bounded to the west by the north-south-striking, 65°W-dipping Westport fault. This is interpreted to be a reactivated thrust fault and is similar to the West fault at Dark Star. The Eastport fault of the Jasperoid Wash structural corridor also strikes north-south, and dips 78°W. The Eastport fault truncates a syncline-anticline pair that also trends north within the structural corridor. There are also east-west-trending faults within the north-south fault corridor that bound a horst block and define the southern extent of the deposit.
Alteration of the middle conglomerate and lower siltstone units includes moderate to strong silicification, decalcification, and argillization. Quartz veinlets and drusy quartz on fractures occur with silicification. Small pods of unoxidized sulfide minerals are preserved within the sedimentary rocks where oxidizing fluids did not permeate the rock. Vugs formed by decalcification of limestone and dolostone are present. Hydrothermal alteration is mostly seen in the feldspar porphyry, calcisiltite, calcarenite, calcareous sandstone, and bioclastic limestone units, and is marked by strong clay development and/or disseminated sulfide grains with a sooty appearance that are mostly oxidized to limonite and hematite. Hydrothermal alteration of the feldspar porphyry dike is distinct and defined by disseminated sulfide grains with a sooty appearance. The lower siltstone unit is commonly decalcified and becomes more calcareous with depth.
The Railroad-Pinion property includes demonstrated Carlin-type gold mineralization in at least four deposit areas: North Bullion, Pinion, Dark Star, and Jasperoid Wash. These deposits are similar in setting and style to that of other deposits in the region, including Rain and Emigrant (Koehler et al., 2014; Norby et al., 2015; Turner et al., 2015; Dufresne and Koehler, 2016). Mineralization occurs mainly as finely disseminated, submicroscopic gold in largely stratiform bodies in Devonian, Mississippian, and Pennsylvanian-Permian rocks. The following subsections describe the mineralization in the North Bullion, Pinion, Dark Star, and Jasperoid Wash deposits and are modified from Dufresne and Nicholls (2016; 2017a; 2017b; and 2018).
7.3.1 | North Bullion Deposits |
The North Bullion deposits, which includes North Bullion, POD, Sweet Hollow and South Lodes zones, contains Carlin- type disseminated-gold mineralization that is largely not exposed at the surface. The bulk of the geological understanding and interpretation of the North Bullion deposits has come from core drilling that was guided by interpretations of gravity and CSAMT data. Gold mineralization is focused in the footwall of the NBFZ, a north-south- striking zone of normal faults with an overall down-to-the-east displacement. North-south-, northwest-, west-northwest-, and northeast-striking faults appear to be important controls on mineralization. In general, gold-silver mineralization is localized in gently to moderately dipping, strongly sheared Webb and Tripon Pass formation rocks, and dissolution- collapse breccia developed above and within silty micrite of the Tripon Pass Formation and calcarenite of the Devils Gate Limestone (Figure 7-6) (Jackson and Koehler, 2014; Jackson et al., 2015).
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The upper limit of gold mineralization at the North Bullion deposit varies from 350 ft to 1300 ft (105 m to 400 m) in depth. The dip of the mineralized material steepens from 10° to 45° to the east as the eastern strand of the NBFZ is approached. Gold is associated with sooty-looking, very fine-grained sulfide minerals, silica, carbon, clay, barite, realgar, and orpiment in addition to elevated arsenic, mercury, antimony, and thallium. Gold grades >0.175 oz Au/ton (>6 g Au/t) have been intercepted.
The North Bullion deposit, as currently defined, is approximately 2,500 ft (750 m) in length, 2,000 ft (600 m) in width and as much as 1,650 ft (500 m) in vertical extent.
Figure 7-6: North Bullion Cross Section N 14727034 ft (N4488800 m)
(from Jackson et al., 2015)
Mineralization at the nearby POD zone is restricted to a steeply dipping shear zone which trends west-northwest and is situated in rocks stratigraphically higher than the lower mineralization at North Bullion (Hunsaker, 2012b; Masters, 2003). Mineralization at POD is hosted by the upper siltstones of the Webb Formation. The core of the mineralized body contains carbon and fine-grained, disseminated pyrite, and accounts for approximately 15% of the mineralization. This is surrounded by strongly oxidized mineralization. Gold grains are in the range of 5 to 20 microns, and are associated with oxidized pyrite, stibnite, and arsenopyrite (Masters, 2003). Additionally, gold mineralization at POD is associated with silicified rock, including jasperoid, argillized rock, pyrite, barite, and some minor dolomite replacement of calcite (Hunsaker, 2012b).
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As currently defined, the POD zone is approximately 2,100 ft (650 m) in length, 500 ft (150 m) in width, and as much as 650 ft (200 m) in vertical extent.
The Sweet Hollow zone is situated about 650 ft (200 m) southeast of the POD zone and about 2,000 ft (600 m) south of the North Bullion deposit. As currently defined, the Sweet Hollow zone is approximately 3,500 ft (1,050 m) in length, 800 ft (250 m) in width, and as much as 330 ft (100 m) in vertical extent.
The Pinion gold deposit is located along the west-northwest-trending Pinion anticline and proximal to the Bullion fault. The Main zone trends approximately N50°W to N60°W, is approximately 3,300 ft long by 3,300 ft wide (1,000 m by 1,000 m), and varies in thickness between ~50 to 500 ft (~15 to 150 m) vertically. Mineralization at the Main zone has been intersected to a depth of 650 ft (200 m) below surface. Mineralization is hosted primarily along the crest of the Pinion anticline, but also along the east and west limbs. The multi-lithic dissolution-collapse breccia at the Devils Gate- Tripon Pass contact hosts the majority of mineralization, with minor amounts associated with decalcified limestone and dolostone above and below the breccia.
The North zone is approximately 3,600 ft (1,100) m long, along a roughly north-northwest trend, varies from 150 ft to 330 ft (45 m to 100 m) in width, and ranges from 115 ft to 440 ft (35 m to 135 m) in vertical thickness. Lateral continuity of mineralization is shown in a representative Gold Standard cross section (Figure 7-7). Mineralization at the North zone is hosted primarily in multi-lithic breccia and appears to be an offset of the east limb of the anticline. Low-grade mineralization has also been noted in the Sentinel Mountain Dolomite.
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Figure 7-7: Pinion Deposit Geology, Section N14696129 ft (N4479380 m)
(from Gold Standard, 2018)
Mineralization at Pinion occurs mainly as submicroscopic disseminated gold in the largely stratiform, multi-lithic, dissolution-collapse breccia developed along the contact between silty micrite of the Tripon Pass Formation and calcarenite of the underlying Devils Gate Limestone (Figure 7-5). Important structural controls are west-northwest and north- to northeast-striking folds and faults. Gold deposition is thought to have been contemporaneous with breccia development and with quartz vein formation and silica ± barite replacement and infill of open spaces. Some free gold in 2 to 20 micron-size grains has been noted in 2018 mineral liberation studies (AMTEL, 2018). Barite was deposited as both massive and disseminated forms and is found most often in the multi-lithic, dissolution-collapse breccia. Barite appears to be paragenetically late, overprinting both the breccia and silica events.
The Dark Star deposit is hosted primarily within Pennsylvanian-Permian undifferentiated units possibly equivalent to the Tomera Formation, with minor amounts of gold mineralization found in the Chainman Formation. The deposit is centered along the north-south-striking Dark Star fault corridor and is elongate in the N5°E direction. As presently defined by drilling, the deposit consists of the Dark Star Main and Dark Star North zones, and has dimensions of approximately 4,600 ft (1,400 m) in length, up to 2,300 ft (700 m) in width, and to a depth of 1,500 ft (450 m) below surface. A representative geologic cross section is shown in Figure 7-8.
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Figure 7-8: Dark Star Geologic Cross Section N14696850 ft (N4479600 m)
Gold mineralization at Dark Star is submicroscopic and disseminated within a north- to north-northeast-striking zone of silicification within the middle coarse conglomeratic and bioclastic limestone-bearing unit. This unit is between the upper and lower silty limestone and calcisiltite units (see stratigraphic column in Figure 7-5, Section 7.2.2.2, and geology cross sections in Figure 7-8). At Dark Star Main the mineralization dips steeply to the west near the surface to sub-horizontal at depth; at Dark Star North the mineralization dips steeply to the west.
Oxidation is pervasive at Dark Star Main to a depth of 1,500 ft (450 m) in the middle conglomeratic unit. At Dark Star North, oxidation is pervasive to a depth of 1,100 ft (330 m) in the middle conglomeratic and lower silty limestone and calcisiltite units. Oxidation products are primarily limonite with lesser hematite. However, thin zones of unoxidized sulfide minerals are present; pyrite is the principal sulfide mineral.
7.3.4 | Jasperoid Wash Deposit |
The Jasperoid Wash deposit has approximate extents of 4,600 ft (1,400 m) in a north direction and a width of about 3,600 ft (1,100 m). Drilling shows the deposit dips west gently to steeply at least 1,300 ft (400 m). Gold is disseminated within altered feldspar porphyry dikes and adjacent conglomeratic rocks, possibly the same units that host mineralization at Dark Star. The gold is inferred to be submicroscopic, though no petrographic studies have been done. Higher-gold grades are associated with drusy quartz in fractures, which have a varnish of limonite and/or hematite and with zones of very fine-grained disseminated sulfide minerals that have a sooty appearance in the argillized feldspar porphyry. A representative Gold Standard cross section is shown in Figure 7-9.
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Figure 7-9: Jasperoid Wash Geologic Cross Section N14675853 ft (4473200N m)
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SECTION 8 TABLE OF CONTENTS
SECTION | PAGE |
8 | Deposit Types | 8-1 |
SECTION 8 LIST OF FIGURES
FIGURE | DESCRIPTION | PAGE |
Figure 8-1: | Regional-Scale Carlin-Type Deposit Model | 8-3 |
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Gold deposits known and being explored for in the Railroad-Pinion property area are sedimentary-rock hosted, disseminated, Carlin-type gold deposits. These types of gold deposit were first recognized in the 1960s in northern Nevada, and were named for the town of Carlin, Nevada. Since then, over 100 geologically similar deposits, containing approximately 200 million ounces of gold, have been discovered in northern Nevada (Hofstra and Cline, 2000), making it one of the most significant gold regions in the world.
Carlin-type deposits are epithermal deposits with characteristics sufficiently different from typical epithermal deposits that they are considered a distinct deposit type. When first discovered, these deposits were often informally referred to as “no-see-um” gold deposits or “micron” gold deposits because the gold is rarely visible to the naked eye and cannot be recovered by panning.
These deposits are distinctive from typical epithermal deposits because they form replacement bodies with structural and stratigraphic controls, contain primary gold that is restricted to ionic substitution and sub-micron-sized grains in arsenian pyrite, and have alteration that is subtle but dominated by carbonate dissolution of calcareous host rocks (Cline, 2004). Gold did not precipitate in response to boiling or fluid cooling, but instead precipitated in response to sulfidation of iron in the host rock or in a second iron-bearing fluid (Muntean et al., 2011). Host rocks for Carlin-type deposits in Nevada are primarily Paleozoic carbonate rocks. Other host rocks include calcsilicate hornfels, chert, argillite, and igneous dikes.
Most systems exhibit a main stage of alteration and mineralization characterized by acid dissolution and replacement of the calcareous host rock. If the host rock is composed of relatively pure carbonate without quartz silt or sand-grain support, dissolution of the carbonate can result in the formation of open space, leading to collapse and breccia formation. Main-stage decarbonatization of carbonate host rocks is typically accompanied by clay alteration (argillization) of silicate minerals, sulfidation of available reactive iron, and silicification of limestone. Alteration is characterized by an assemblage of quartz, illite, and dolomite with the edges of the system marked by an increase in calcite (Kuehn and Rose, 1992). In gold-enriched zones, dissolution of carbonates, and argillization of silicate minerals is accompanied by sulfidation of iron released by mineral alteration, resulting in precipitation of disseminated auriferous- and arsenian-pyrite, marcasite, or arsenopyrite. These iron sulfide minerals commonly occur as rims on preexisting pyrite. The most important consequence of the pyrite-forming sulfidation reaction is the coupled precipitation of gold with this pyrite (Hofstra and Cline, 2000). It is well-documented that most of the gold in Carlin-type deposits initially resides in arsenian pyrite, arsenian marcasite, and arsenopyrite (Hofstra and Cline, 2000), occurring as sub-micron inclusions of native gold or as structurally bound gold. Pervasive silica replacement (silicification) of the various host rocks is also common.
A distinctive suite of late-stage minerals is commonly present in open cavities and fractures. Textural relationships demonstrate that these minerals precipitated after the main-stage alteration and mineralization. In proximal zones, open cavities and fractures may be filled with orpiment and/or realgar, in places accompanied by quartz, barite, fluorite, pyrite, marcasite, cinnabar, barite, or thallium and antimony sulfides. More distal veins are dominantly calcite ± orpiment and realgar. The geochemistry of Carlin-type deposits is characterized by a distinctive suite of gold, arsenic, antimony, thallium, and mercury ± tungsten (Hofstra and Cline, 2000). These elements are frequently used as pathfinder elements for surface geochemical surveys and as vectors toward mineralization in drill-hole geochemical studies.
Carlin-type deposits vary greatly in size and contained gold. Areal footprints of district deposit clusters range from about 8 to 46 miles squared. Mineralization within a deposit can extend laterally more than 5,000 ft and over vertical intervals greater than 3300 ft. The larger deposits in Nevada occur within linear districts, or “trends” extending up to more than 12.5 mi and are often controlled by regional structures. Some of these structures probably resulted from reactivation of much older basement normal faults that originated during Proterozoic rifting of western North America (Lund, 2008).
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These old faults are inferred to have served as conduits for deep-crustal hydrothermal fluids responsible for formation of Carlin deposits.
The varied forms of individual deposits reflect local zones of high porosity and permeability that result from favorable lithologic and structural features. Permeable features frequently associated with orebodies include high-angle faults, thrust faults, low-angle normal faults, hinge zones of anticlines, lithologic contacts, reactive carbonate units, debris- flow facies carbonate rocks, lithologic facies changes, breccia zones of all types, and contacts of sedimentary rock with metamorphic aureoles (Cline et al., 2005).
Carlin-type deposits share many features in common, that include (Muntean et al., 2011):
| ● | Middle to late Eocene ages (42 and 36 Ma.) (Cline, 2004), a time that corresponds to a change from tectonic compression to extension and renewed felsic to intermediate magmatism; |
| | |
| ● | Deposits occur in linear clusters along old reactivated structures that are probably linked at depth to crustal- scale Proterozoic basement rift structures; |
| | |
| ● | Deposits are preferentially hosted in carbonate rocks within or adjacent to structures in the lower plate of a regional thrust fault; |
| | |
| ● | Deposits exhibit very similar paragenesis, characterized by decarbonatization, argillization, silicification, and sulfidation that results in the formation of gold-bearing arsenian pyrite, which initially hosts the vast majority of the gold in the deposits. This replacement mineralization was followed by open-space deposition of minor amounts of drusy quartz with pyrite, followed by orpiment, realgar, stibnite, and other sulfides. Oxidation often removes the initial sulfide formed in the deposit; |
| | |
| ● | Deposits have low concentrations of silver and base metals, and have an elemental signature of predominantly Au-Tl-As-Hg-Sb; |
| | |
| ● | Deposits were formed by non-boiling ore-forming fluids that ranged from 180°C to 240°C during mineralization, were of low to moderate salinity (mostly ≤6 wt% NaCl equivalent), and CO2-bearing (<4 mol%); kaolinite and illite indicate that fluids were acidic; |
| | |
| ● | There is a lack of mineral or elemental zoning at the district scale that suggest minor temperature gradients. There are no coeval associated porphyry copper, skarn, or distal Au-Pb-Zn-Mn zones; and |
| | |
| ● | Evidence suggests deposit formation by largely fracture-controlled fluid flow from multiple upwelling zones with little evidence for significant lateral fluid flow or spaced convection cells. |
A schematic regional deposit model cross-section is shown in Figure 8-1 from Muntean (2018).
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Figure 8-1: Regional-Scale Carlin-Type Deposit Model
(from Muntean and Cline, 2018)
These features strongly suggest Carlin-type deposits, which formed over a broad region of northern Nevada during a relatively narrow time interval, shared common underlying processes for the formation and transport of gold-bearing hydrothermal fluids and the deposition of gold.
Carlin systems can be large deposits with high concentrations of gold. Deposits frequently occur in clusters and can occur at depth with subtle or no surface evidence. It is notable that although the original Carlin deposit in Nevada was discovered in 1960, exploration continues, and discoveries continue to be made.
The Dark Star, Pinion, Jasperoid Wash, and North Bullion gold deposits present characteristics similar to other Carlin- type gold deposits of the Carlin trend. Specific geologic features in these deposits include:
| ● | Deposits occur in relatively close proximity to a multi-phase Eocene igneous center with associated igneous stocks, dikes and sills; gold mineralization is of Eocene age; |
| | |
| ● | Deposits occur in a linear zone; |
| | |
| ● | Deposits are hosted in or adjacent to carbonate rock types; |
| | |
| ● | Deposits exhibit strong structural control, localized in areas with greater fault density and occur in either hanging wall or footwall settings of high-angle faults; |
| | |
| ● | Alteration is characterized by decarbonatization, dolomitization, argillization, silicification, barite, and sulfidation; |
| | |
| ● | Gold generally occurs initially as a chemical impurity or as micron-scale particles of arsenian pyrite. Later oxidation has generally removed most sulfides at Dark Star, Pinion, and Jasperiod Wash. |
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SECTION 9 TABLE OF CONTENTS
SECTION | | | PAGE |
9 | EXPLORATION | 9-1 |
| 9.1 | 2009 – 2021 Geophysics | 9-1 |
| 9.2 | 2010 – 2021 Geochemistry | 9-3 |
| 9.3 | 2009 – 2021 Geologic Mapping | 9-4 |
| 9.4 | 2014 – 2016 Dark Star and Pinion PETROGRAPHY | 9-6 |
SECTION 9 LIST OF FIGURES
FIGURE | DESCRIPTION | PAGE |
Figure 9-1: | Ground-based Geophysical Surveys by Gold Standard 2009 to 2015 | 9-2 |
Figure 9-2: | Rock and Soil Sample Locations 2010 - 2018 | 9-5 |
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The Railroad–Pinion property is being explored on an ongoing basis by Gold Standard using geological mapping, geochemical and geophysical surveying, and drilling. This section of the report is largely drawn from Dufresne and Nicholls (2016), Dufresne et al. (2017), Dufresne and Nicholls (2017a), Dufresne and Nicholls (2018) and Ibrado et al. (2020). The authors have reviewed this information and believe it accurately represents the exploration work done by Gold Standard.
Prior to 2015, exploration activities by Gold Standard were focused in the North Railroad portion of the property. Work completed in 2015 was largely focused on the Pinion area in the South Railroad portion of the property, after its acquisition in 2014. A thorough discussion of these work programs and their results and interpretations is available in previous Technical Reports by Hunsaker (2010, 2012a, 2012); Shaddrick (2012); Koehler et al. (2014); Turner et al. (2015); Dufresne and Koehler (2016); and Dufresne et al. (2017).
Exploration work by Gold Standard since 2010 has resulted in the identification of 17 prospect areas or zones of mineralization within the overall property position, including the Bald Mountain area and North Bullion deposits in the North Railroad-Pinion portion of the property, the Pinion, Dark Star, and Jasperoid Wash deposits, and other areas of the South Railroad portion of the property. Drilling conducted by Gold Standard is summarized in Section 10.
9.1 | 2009 – 2021 Geophysics |
There is a significant and growing body of geophysical information for the Railroad-Pinion property that includes gravity, controlled-source audio magneto-telluric (“CSAMT”), and ground magnetic surveys. These surveys have been employed to aid in identifying geological structures, key lithologies, and zones of hydrothermal alteration related to mineralization. Additionally, the geophysical surveys have aided in drill-hole targeting and have assisted in the definition of multiple exploration targets.
A ground magnetic survey was completed over the Bullion stock area in 2014 (Figure 9-1). A total of 197 line-km was surveyed with total magnetic intensity recorded in continuous mode at 2-second intervals on lines 328 ft m apart. The lines were oriented east-west.
Gold Standard completed six gravity surveys from 2009 to 2015, collecting measurements from 3,991 stations covering a large portion of the property as shown in Figure 9-1. The gravity surveys were designed to delineate structures, particularly those in areas lacking bedrock exposures, and/or those areas under cover, and to identify rock types and alteration related to sedimentary-rock hosted and skarn-type mineralization (Wright, 2013). During 2017, gravity measurements at an additional 1,027 stations were taken, covering 8.88 mi2 in the South Railroad portion of the property. The 2017 gravity survey was conducted by Magee Geophysical Services LLC and was interpreted by Wright Geophysics.
Seven CSAMT surveys were completed by Gold Standard from 2012 to 2016, covering the Bullion fault corridor, the North Bullion, Pinion, and Dark Star deposits, and the Dark Star fault corridor (Figure 9-1). A total of 52.8 line-mi of CSAMT data were collected during the seven CSAMT surveys. The 2016 CSAMT survey involved 13.2 line-mi focused on the Dark Star fault corridor, with nine east-west lines at variable spacing from 656 ft to 1,640 ft, that were oriented perpendicular to the main fault trend in the area.
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Figure 9-1: Ground-based Geophysical Surveys by Gold Standard 2009 to 2015
(from Dufresne et al. 2017)
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During 2017, another 42.3 line-mi of CSAMT were surveyed with 21 lines across the Dark Star fault corridor, Ski Track and Bullion to East Pine Mountain areas. The data were acquired by Zonge International Inc. and interpreted by Wright Geophysics.
James Wright of Wright Geophysics designed, supervised, and interpreted the 2016 CSAMT survey. An interpretation of the results by Wright (2016a) is summarized as follows:
| ● | A major north-south-oriented structural zone—the Dark Star fault corridor—exists along the east side of all 2016 sections, juxtaposing Tertiary rocks against older sedimentary rocks. The zone has two major normal faults bounding a predominantly Pennsylvania–Permian horst block. Both bounding faults have multiple parallel faults and lesser splays; |
| | |
| ● | A north-south-oriented horst of Pennsylvania–Permian clastic rocks beneath approximately 260 ft of Tertiary and Quaternary cover is bounded by two major faults and runs parallel to and 1,475 ft west of the Dark Star fault corridor; |
| | |
| ● | The above horst is terminated to the north by a north-northeast-trending fault and is divided to the south by a major cross-cutting west-northwest-trending fault. South of that the two horsts appear to merge to the south of this cross-cutting structure; and |
| | |
| ● | The Dark Star Main and Dark Star North deposits correlate with high resistivity from a depth of 0 to 82 ft to a depth of 650 to 1,310 ft, respectively. The near-surface high resistivity features may be related to alteration. |
In 2016, Gold Standard purchased a portion of an airborne magnetic survey from EDCON-PRJ that covered the entire Piñon Range including the North Railroad and South Railroad portions of the property and their surroundings. The Bullion stock forms a strong and large magnetic high, and several of the major structures were extended by the airborne interpretation of Wright (2016b).
Seismic surveys were performed in 2017 and 2018 at Pinion, Dark Star, and North Bullion. In total, three east-west- oriented lines for 23.1 line-mi were surveyed. In 2019 three additional seismic lines, totaling 13 line-mi, were surveyed directly over and to the north of the North Bullion deposit. The seismic data were acquired by Bird Seismic Services and processed and interpreted by Columbia Geophysical, Sterling Seismic Services Ltd., and Wright Geophysics.
In 2021, a seismic survey of approximately three line-mi was conducted northwest of Dark Star. The survey was carried out by hydroGEOPHYSICS, Inc.
9.2 | 2010 – 2021 Geochemistry |
Historical data and subsequent work by Gold Standard has shown there is a positive correlation between anomalous gold and arsenic concentrations in soil samples, and near-surface gold mineralization confirmed with drilling. Gold Standard collected approximately 7,450 soil samples from 2010 to 2015. These were collected over grids in six areas (Figure 9-2) with lines 164 ft to 328 ft apart and samples taken at spacings of164 ft. During 2017 and 2018, a total of 7,823 soil samples were collected from the South Railroad portion of the property in the Ski Track, Dixie, and Jasperoid Wash areas, and near the southern limit of the property. Samples were taken at intervals of 164 ft along lines spaced 238 ft apart.
To expand the rock geochemistry database in areas that lacked historical sampling, Gold Standard collected approximately 3,500 rock samples throughout the Dark Star, Pinion, and North Bullion deposit areas from 2010 to 2015 (Figure 9-2). Samples were collected from outcrops, road cuts, and field traverses parallel with topography. The majority of these rock samples comprise simple “grab” samples, but chip, channel and scoop sampling techniques were employed to a lesser degree.
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Gold Standard did not collect any rock, soil, or scoop samples in 2016. During 2017 and 2018, a total of 1,550 rock samples were collected from the Ski Track, Dixie, and Jasperoid Wash areas of the property. The geochemical exploration work described above identified eight drill targets, some of which have returned significant intercepts of gold, silver, copper, lead, and zinc.
During 2019 through 2021, a total of 22 soil samples and 497 rock samples were collected by Gold Standard in the Dark Star area. A total of 252 rock samples were collected at the LT area in 2020. At the South Dome area, 78 rock samples and 459 soil samples were collected in 2020. A total of 93 rock samples were collected in the Pinion area during 2020 and 2021.
The authors have not analyzed the sampling methods, quality, and representativity of surface sampling at the Railroad- Pinion property because drilling results form the basis for the mineral resource estimates described in Section 14. Drilling is described in Section 10.
9.3 | 2009 – 2021 Geologic Mapping |
During 2009 through 2016, Gold Standard geologists carried out Anaconda-style, layer-based geological mapping that covers a total of 58 mi2 within and near the Railroad-Pinion property. The mapping was done at scales of 1:6,000 to 1:2,000. The cumulative results of that mapping, combined with published mapping by the U.S.G.S. and the Nevada Bureau of Mines and Geology, as well as certain mapping by historical operators, are shown in Figure 7-3. During 2016-2018, approximately 21 mi2 were mapped in the Dark Star, Dixie, Jasperoid Wash, Ski Track, Elliot Dome, and east Pine Mountain areas. Additional mapping was conducted at a scale of 1:2,000 in the Ski Track and LT areas during 2018.
During 2019 through 2021, Gold Standard personnel conducted geological mapping in the LT, South Dome, Jasperoid Wash and central Railroad district areas.
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Figure 9-2: Rock and Soil Sample Locations 2010 - 2018
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9.4 | 2014 – 2016 Dark Star and Pinion Petrography |
Petrographic analysis systematically describes mineralogical and textural details of rock samples, commonly using thin-section optical microscopy. Consultant Mark McComb of McComb Petrographics performed a petrographic analysis on one sample of Pinion area drill core in 2014, and 14 samples of Dark Star area drill core in 2016. The 2016 samples were from drill hole DS15-13 (Dufresne et al., 2017). McComb (2016) summarized his findings as follows:
“Rock types found in this suite of samples generally include silicified biomicrite, silicified silty to sandy biomicrite, silicified siltstone and sandstone, and decalcified siltstone and sandstone. Gold grades are the highest in samples that contain the most decalcified siltstone and sandstone and were logged as debris flow. Debris flow samples often contain clasts of silicified silty to sandy biomicrite in a decalcified siltstone/sandstone matrix. Decalcified siltstone/sandstone usually has wispy stylolaminated texture attesting to the removal of carbonate and generally comprises detrital quartz in a matrix of low birefringent clay that is often iron stained and contains extremely fine-grained iron oxides. Low birefringent clay appears to be kaolinite, where it is not highly iron stained. Gold mineralization is interpreted to occur in iron oxides, which are interpreted to be oxidized arsenian pyrite. Silica locked extremely fine-grained pyrite can still be observed locally. Mineralized debris flow samples are similar to what is described in the Roberts Mountain DSr3 unit in the northern Carlin Trend.” (pp.1).
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SECTION 10 TABLE OF CONTENTS
SECTION | PAGE |
10 | DRILLING | | | 10-1 |
| | | | |
| 10.1 | Summary | 10-1 |
| | | |
| 10.2 | Historical north railroad drilling | 10-5 |
| | | |
| | 10.2.1 | 1969-1974 American Selco, Placer Amex and El Paso Gas Company | 10-5 |
| | 10.2.2 | 1977-1980 AMAX | 10-5 |
| | 10.2.3 | 1980-1981 Homestake | 10-5 |
| | 10.2.4 | 1983 and 1985-1986 NICOR | 10-5 |
| | 10.2.5 | 1987-1992 Westmont | 10-5 |
| | 10.2.6 | 1994 Ramrod | 10-5 |
| | 10.2.7 | 1995 Newmont | 10-5 |
| | 10.2.8 | 1996-1997 Mirandor | 10-5 |
| | 10.2.9 | 1998-1999 Kinross | 10-6 |
| | 10.2.10 | 2005-2008 Royal Standard Minerals | 10-6 |
| | | | |
| 10.3 | Historical south railroad drilling | 10-6 |
| | | |
| | 10.3.1 | 1980-1981 AMOCO Minerals | 10-6 |
| | 10.3.2 | 1981-1982 Newmont | 10-6 |
| | 10.3.3 | 1983 Freeport | 10-6 |
| | 10.3.4 | 1984 Cyprus-AMAX | 10-6 |
| | 10.3.5 | 1985 Santa Fe Mining | 10-6 |
| | 10.3.6 | 1987-1989 Newmont | 10-6 |
| | 10.3.7 | 1987-1989 Teck Resources | 10-6 |
| | 10.3.8 | 1988 Battle Mountain | 10-6 |
| | 10.3.9 | 1989-1992 Westmont | 10-7 |
| | 10.3.10 | 1988-1989 Freeport | 10-7 |
| | 10.3.11 | 1990-1993 Crown Resources | 10-7 |
| | 10.3.12 | 1994-1995 Cyprus Mining | 10-7 |
| | 10.3.13 | 1997 Mirandor | 10-7 |
| | 10.3.14 | 1997-1999 Cameco | 10-7 |
| | 10.3.15 | 1998-1999 Kinross | 10-7 |
| | 10.3.16 | 2003 and 2007 Royal Standard Minerals | 10-7 |
| | | | |
| 10.4 | gold standard drilling, north railroad area 2010 – 2020 | 10-7 |
| | | |
| | 10.4.1 | North Bullion Deposits Drilling by Gold Standard | 10-10 |
| | 10.4.2 | Bald Mountain Drilling by Gold Standard | 10-12 |
| | | | |
| 10.5 | gold standard drilling, south railroad area 2012-2019 | 10-13 |
| | | |
| | 10.5.1 | Dark Star Area Drilling by Gold Standard | 10-13 |
| | 10.5.2 | Pinion Area Drilling by Gold Standard | 10-14 |
| | 10.5.3 | Jasperoid Wash Area Drilling by Gold Standard | 10-15 |
| | 10.5.4 | Irene Area Drilling by Gold Standard | 10-15 |
| | 10.5.5 | Dixie Area Drilling by Gold Standard | 10-15 |
| | 10.5.6 | Ski Track Drilling by Gold Standard | 10-16 |
| | | | |
| 10.6 | Drill-hole collar surveys | 10-16 |
| | | |
| | 10.6.1 | Historical Collar Surveys, North Railroad Portion of the Property | 10-16 |
| | 10.6.2 | Historical Collar Surveys, South Railroad Portion of the Property | 10-16 |
| | 10.6.3 | Gold Standard Collar Surveys, North Railroad Portion of the Property | 10-16 |
| | 10.6.4 | Gold Standard Collar Surveys, South Railroad Portion of the Property | 10-16 |
| | | | |
| 10.7 | down-hole surveys | 10-17 |
| | | | |
| | 10.7.1 | Historical Down-Hole Surveys, North and South Railroad Portions of the | |
| | | Property | 10-17 |
| | 10.7.2 | Gold Standard Down-Hole Surveys, North and South Railroad Portions of the | |
| | | Property | 10-17 |
| | | | |
| 10.8 | Summary statement | 10-17 |
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SECTION 10 LIST OF TABLES
TABLE | DESCRIPTION | PAGE |
Table 10-1: | All Railroad-Pinion Drilling 1969 – 2021 | 10-1 |
Table 10-2: | Historical Drilling Summary | 10-3 |
Table 10-3: | Summary of Gold Standard Drilling 2010 – 2021 | 10-9 |
Table 10-4: | Bald Mountain Drilling Contractors and Methods | 10-12 |
Table 10-5: | Gold Standard’s Dark Star Drilling Contractors and Methods | 10-13 |
Table 10-6: | Gold Standard Pinion Area Drilling Contractors and Methods | 10-14 |
SECTION 10 LIST OF FIGURES
FIGURE | DESCRIPTION | PAGE |
Figure 10-1: | Railroad-Pinion Drill Hole Map (1969 – 2021) | 10-2 |
Figure 10-2: | Map of North Railroad Property Drill Collar Locations | 10-11 |
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The information presented in Section 10 is derived from multiple sources, as cited. The authors have reviewed this information and believe this summary accurately represents the drilling conducted at the Railroad-Pinion property.
MDA/RESPEC received from Gold Standard on October 4, 2021, a summary of all drilling conducted within the property during 2018 through 2021. This data was used to update the property-wide drilling information summarized by Ibrado et. al. (2020). In total, there are records from a total of 1,453,656 ft drilled in 2,205 holes since drilling commenced in 1969 (Table 10-1). These totals exclude two holes for which MDA/RESPEC has collar locations, but no depths drilled, hole type, company or assays. Twenty-one different historical operators are known to have drilled 1,084 holes, for a total of 500,544 ft, from 1969 through 2008. As of September 21, 2021, Gold Standard has drilled 1,121 holes for a total of 953,112 ft (Table 10-1). This includes 16 holes for 12,140 ft drilled in the Pinion area after the June 2, 2021 effective date of the Pinion resource database; five holes for 1,220 ft drilled in the Dark Star area after the June 15, 2021 effective date of the Dark Star resource database; and 38 holes for 12,409 ft drilled in the North Bullion area after the August 21, 2020 effective date of the North Bullion resource database.
The drilling was done using Imperial units of measure. Figure 10-1 shows the distribution of all known drill collar locations in the property.
Approximately 81% of the holes have records to indicate they were drilled with RC methods. There is a total of 33,357 ft drilled in 88 historical holes for which MDA/RESPEC has no reliable information on the type of hole or drilling methods used. The authors believe the amount of RC drilling may be understated because the historical holes with no hole-type attribute were drilled in the late 1980s and 1990s when RC drilling was common.
Table 10-1: All Railroad-Pinion Drilling 1969 – 2021
Period | Rotary & RC Holes | Rotary & RC (ft) | Core Holes | Core (ft) | RC + Core Tail Holes | RC + Core Tail (ft) | Unknown Type Holes | Unknown Type (ft) | Total Holes | Total (ft) |
Historical Drilling 1969 -2008 | 938 | 432,591 | 58 | 34,595 | | | 88 | 33,357 | 1,084 | 500,544 |
Gold Standard 2010 -2021 | 847 | 667,707 | 233 | 217,607 | 41 | 67,798 | | | 1,121 | 953,112 |
Totals | 1,785 | 1,100,298 | 291 | 252,202 | 41 | 67,798 | 88 | 33,357 | 2,205 | 1,453,656 |
A summary of historical drilling by operator, area and year is presented in Table 10-2. Unless given in the report, the authors are not aware of information on the drilling contractors, rig makes, bit diameters, or specific drilling, logging, and sampling methods and procedures used during any of the historical drilling from 1969 through 2008.
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Figure 10-1: Railroad-Pinion Drill Hole Map (1969 – 2021)
Note: For more detailed depictions of drill holes and mineral resource outlines, see Figure 14-1, Figure 14-10, and Figure 14-22 in Mineral Resource Estimates, Section 14.
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Table 10-2: Historical Drilling Summary
Year | Company | Area Drilled | Rotary Holes | Rotary Feet | RC Holes | RC Feet | Core Holes | Core Feet | Unknown Type Holes | Unknown Type Feet | Total Holes | Total Feet |
1969-1970 | American Selco | Bald Mountain | | | | | 7 | 8,593 | 7 | 3,955 | 14 | 12,548 |
1972 | Placer Amex | Bald Mountain | | | 1 | 1,200 | | | | | 1 | 1,200 |
1974 | El Paso-LLE | Bald Mountain, Pinion | | | 1 | 835 | 4 | 2,030 | | | 5 | 2,864 |
1977-1980 | AMAX | Bald Mountain | | | | | 15 | 6,212 | | | 15 | 6,212 |
1980-1981 | AMOCO | Pinion | | | 31 | 9,505 | | | | | 31 | 9,505 |
1980-1981 | Homestake | POD-N.Bullion, Bald Mountain | | | 22 | 5,788 | | | | | 22 | 5,788 |
1981-1982 | Newmont | Irene | | | 6 | 1,250 | | | 23 | 6,617 | 29 | 7,867 |
1983 | Freeport | Pinion | | | 8 | 2,695 | | | | | 8 | 2,695 |
1983 | NICOR | POD-N.Bullion, Bald Mountain | | | 98 | 38,605 | | | | | 98 | 38,605 |
1984 | Cyprus-AMAX | Dark Star | 9 | 3,700 | | | | | | | 9 | 3,700 |
1985 | Santa Fe Mining | Pinion | | | 14 | 5,065 | | | | | 14 | 5,065 |
1985-1986 | NICOR | POD-N.Bullion, Bald Mountain | | | 12 | 6,170 | | | | | 12 | 6,170 |
1987-1989 | Newmont | Irene, Pinion | | | 65 | 37,122 | | | 11 | 1,835 | 76 | 38,957 |
1987-1989 | Teck | Pinion | | | 39 | 12,490 | | | | | 39 | 12,490 |
1987-1992 | Westmont | POD-N.Bullion, Bald Mountain, Jasperoid Wash, Pinion, LT, Dark Star, JR Buttes | | | 144 | 60,198 | 3 | 967 | 9 | 3,775 | 156 | 64,940 |
1988 | Battle Mountain | Pinion | | | | | | | 12 | 3,805 | 12 | 3,805 |
1988-1989 | Freeport | Dixie | | | 26 | 12,240 | | | | | 26 | 12,240 |
1990-1993 | Crown Resources | Pinion, Dark Star, Dixie | | | 205 | 82,046 | | | | | 205 | 82,046 |
1993 | Unknown | Pinion | | | | | | | 2 | 1,240 | 2 | 1,240 |
1994 | Ramrod | POD-N.Bullion, LT | | | 13 | 9,290 | | | | | 13 | 9,290 |
1994-1995 | Cyprus | JR Buttes, Pinion | | | 77 | 42,987 | | | | | 77 | 42,987 |
1995 | Newmont | N of N.Bullion | | | | | | | 1 | 1,395 | 1 | 1,395 |
1996 | Royal Standard | Pinion | | | | | 6 | 1,175 | | | 6 | 1,175 |
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1996-1997 | Mirandor | Bald Mountain, Pinion, Dark Star, POD-N.Bullion | | | 53 | 25,375 | | | 4 | 930 | 57 | 26,305 |
1997-1999 | Cameco | Dixie, Jasperoid Wash, Pinion, JR Buttes | | | 36 | 27,996 | 8 | 9,863 | | | 44 | 37,859 |
1998-1999 | Kinross | Dark Star, Pinion, POD- N.Bullion, Bald Mountain | | | 68 | 45,415 | 2 | 1,080 | 12 | 8,660 | 82 | 55,155 |
2003 | Royal Standard | Pinion | | | 10 | 2,620 | 4 | 1,060 | 3 | 700 | 17 | 4,380 |
2005 | Unknown | Pinion, POD-N.Bullion | | | | | | | 4 | 445 | 4 | 445 |
2007-2008 | Royal Standard | Pinion, Bald Mountain | | | | | 9 | 3,617 | | | 9 | 3,617 |
| Grand Total | | 9 | 3,700 | 929 | 428,891 | 58 | 34,595 | 88 | 33,357 | 1,084 | 500,544.1 |
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10.2 | Historical North Railroad Drilling |
10.2.1 | 1969-1974 American Selco, Placer Amex and El Paso Gas Company |
American Selco drilled 7 core holes and 7 holes of unknown type, for a total of 12,548 ft, exploring for porphyry copper and molybdenum in the general Bald Mountain area in 1969-1970.
In 1972, Placer Amex drilled a single RC hole to a down-hole depth of 1,200 ft in the Bald Mountain area exploring for porphyry-type mineralization.
The El Paso Natural Gas Company and Louisiana Land and Cattle Company drilled one RC hole and four core holes for 2,865 ft in the Bald Mountain and Pinion areas in 1974.
AMAX drilled 15 core holes in the Bald Mountain area in 1977-1980 for a total of 6,212 ft (Table 10-2). Drill hole AR-7 intersected 98 ft that averaged 0.11 oz Au/ton from 37 ft to 135 ft near the historic replacement and skarn mines.
10.2.3 | 1980-1981 Homestake |
Homestake drilled 5,788 ft in 22 RC holes in 1980 and 1981 (Table 10-2). Four of these were drilled in the Bald Mountain area and 18 holes were drilled in the POD-North Bullion area. Homestake’s drilling produced the first significant results in the North Bullion area when hole BDH05 returned 43 ft with an average of 0.046 oz Au/ton starting at a down-hole depth of 6.9 ft.
10.2.4 | 1983 and 1985-1986 NICOR |
From 1983 through 1986, NICOR drilled a total of 110 RC holes for 44,775 ft. This included 21 RC holes in the Bald Mountain area for 6,655 ft. During this period, NICOR also drilled 99 RC holes for 38,120 ft in the North Bullion area and north of North Bullion. This drilling expanded the drill coverage at North Bullion and resulted in the first historical mineral resource estimate for the POD portion of the North Bullion deposits.
Westmont drilled 58 RC holes for 21,708 ft in the POD-North Bullion area from 1987 through 1992. Three RC holes for 1,085 ft were drilled north of the North Bullion deposit area in 1987 and 1990. A total of 5,230 ft was drilled in 12 RC holes in the Bald Mountain area in 1987-1992.
Ramrod Gold drilled 13 RC holes in the POD-North Bullion area in 1994 for a total of 9,290 ft.
One hole of unknown type was drilled by Newmont north of the deposits in 1995 for 1,395 ft.
During 1996 and 1997, Mirandor drilled 28 RC holes in the POD-North Bullion and north of North Bullion areas for a total of 13,640 ft. Fourteen RC holes were drilled in 1997 in the Bald Mountain area. Hole EMRR-9722 penetrated 70 ft that averaged 0.111 oz Au/ton from 15 ft to 85 ft, including 45 ft at a grade of 0.164 oz Au/ton from 35 ft to 70 ft, and 20 ft at 0.236 oz Au/ton from 55 ft to 75 ft. This hole was drilled near AMAX hole AR-7, adjacent to the historic Sylvania mine, which had historic production from replacement and/or skarn mineralization.
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Kinross drilled 37 RC holes and one core hole for 21,825 ft in the POD-North Bullion deposit area in 1998 and 1999. During this period, 27 RC holes were drilled in the Bald Mountain area for 20,750 ft. Hole K98-49 intersected 70 ft with a grade of 0.108 oz Au/ton at 855 ft to 925 ft, including 5 ft at 0.387 oz Au/ton from 880 ft. Hole K99-19 returned a significant interval well away from any previously targeted areas with 10 ft at 0.026 oz Au/ton from 610 ft and 10 ft at a grade of 0.018 oz Au/ton from 1,205 ft.
10.2.10 | 2005-2008 Royal Standard Minerals |
In 2005, RSM drilled a total of 1,760 ft in four core holes and three holes of unknown type in the POD-North Bullion area. At the Bald Mountain area, RSM drilled three core holes in 2007 and one core in 2008 for 2,272 ft.
10.3 | Historical South Railroad Drilling |
10.3.1 | 1980-1981 AMOCO Minerals |
AMOCO drilled 31 RC holes for 9,505 ft in the Pinion area in 1980 and 1981.
The Irene prospect was tested by Newmont in 1981 and 1982 when six RC holes and 21 holes of unknown type were drilled for 7,867 ft.
In 1983, Freeport drilled eight RC holes for 2,695 ft in the Pinion deposit area.
The Dark Star area was first tested by Cyprus-AMAX with nine rotary holes for 3,700 ft in 1984.
10.3.5 | 1985 Santa Fe Mining |
Santa Fe Mining drilled 14 RC holes for 5,065 ft in the Pinion deposit in 1985.
Newmont drilled four RC holes and 11 holes of unknown type for 4,500 ft in the Irene prospect during 1987 through 1989. During this same time period, Newmont drilled 61 RC holes in the Pinion deposit and vicinity.
10.3.7 | 1987-1989 Teck Resources |
Teck drilled 39 RC holes for 12,490 ft in the Pinion deposit.
10.3.8 | 1988 Battle Mountain |
A total of 12 holes of unknown type and 3,805 ft were drilled at the Pinion area by Battle Mountain Gold Corp. (“BMGC”) or Battle Mountain Exploration Co. (“BMEC”) in 1988.
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Westmont first drilled in the Jasperoid Wash area with 48 RC holes and two core holes for 22,311 ft in 1989 through 1992. The Pinion area was drilled by Westmont in 1989 with nine holes of unknown type for 3,775 ft. In 1991, Westmont drilled two RC holes at Pinion for 680 ft. Three RC holes for 785 ft were drilled at Dark Star by Westmont in 1991. Westmont tested the JR Buttes prospect in 1992 with 19 RC holes for 8,365 ft.
10.3.10 | 1988-1989 Freeport |
The Dixie prospect was tested by Freeport with 26 RC holes for 12,240 ft drilled.
10.3.11 | 1990-1993 Crown Resources |
In 1990, Crown began drilling in the Pinion deposit and by 1993 had drilled 40,345 ft in 130 RC holes. Crown also drilled 36,860 ft in 69 RC holes at the Dark Star deposit in 1991 through 1993. A total of 5,100 ft in seven RC holes were also drilled by Crown at the Dixie prospect in 1991, following up on the drilling done there by Freeport.
10.3.12 | 1994-1995 Cyprus Mining |
During 1994 and 1995, Cyprus drilled at total of 40,817 ft in 73 RC holes in the Pinion deposit area. Cyprus also drilled three RC holes for a total of 1,525 ft at the JR Buttes prospect.
Mirandor drilled a total of 7,230 ft in 11 RC holes at the Dark Star deposit in 1997. A total of 930 ft in four holes of unknown type were also drilled in the Pinion deposit area.
Cameco’s drilling during this period was focused on the Pinion deposit area with a total of 20 RC holes and eight core holes. A total of 8,810 ft in 11 RC holes were drilled by Cameco in the Dixie prospect in 1997 and 1998, and one RC hole for 725 ft was drilled in 1998 at JR Buttes. In 1997, Cameco also drilled 1,825 ft in four RC holes at the Jasperoid Wash area.
Kinross focused their 1998 and 1999 drilling in the South Railroad portion of the property at Dark Star with one core hole, three RC holes and 11 holes of unknown type for a total of 11,085 ft. A total of 1,495 ft was also drilled in two RC holes in the Pinion deposit area.
10.3.16 | 2003 and 2007 Royal Standard Minerals |
In 2003, RSM drilled a total of 2,620 ft in 10 RC holes in the Pinion deposit area. RSM subsequently drilled five core holes at the Pinion deposit area in 2007, for a total of 1,345 ft.
10.4 | Gold Standard Drilling, North Railroad Area 2010 - 2020 |
Gold Standard’s drilling in the North Railroad portion of the property commenced in 2010. As summarized in Table 10-3, a total of 261,542 ft has been drilled in 184 holes as of the effective date of the database of this Technical Report. Gold Standard’s most recent drilling in the North Railroad portion of the property was conducted in 2020. Approximately 34% of the feet and 44% of the holes were drilled with RC methods. Diamond-core drilling accounts for 41% of the feet and 35% of the holes; the balance of the drilling was done using RC followed by core tails.
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Gold Standard’s RC holes were drilled wet; water was always injected. Face-return bits were only used when interchanges were flooded out. Tri-cone bits were only used when the hammer bits were ineffective due to too much water.
For core drilling, Gold Standard geologists completed paper or digital logs on the whole core. The logs captured and illustrated core recovery, sample intervals, lithologic data, hydrothermal alteration, mineralogy, and structural features. Structural features were measured with respect to the core axis. When available, structural features were measured on core oriented using a Reflex Act 2 orienting device. Photographs were taken of all drill core, labeled with drill hole footages and sample intervals. RC drill chips were also logged on paper or digital logs by Gold Standard geologists. The data from the paper drill logs were later captured in electronic spreadsheets for both core and RC drill holes.
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Table 10-3: Summary of Gold Standard Drilling 2010 – 2021
Year | Area | RC* Holes | RC Feet | Core** Holes | Core** Feet | RC + Core Holes | RC + Core Feet | Total Holes | Total Feet |
North Railroad |
2010 | POD-N.Bullion | 6 | 9,330.0 | 5 | 7,341.5 | 4 | 6,095.0 | 15 | 22,766 |
2011 | N of N.Bullion | 1 | 2,000.0 | | - | | - | 1 | 2,000 |
POD-N.Bullion | 5 | 5,556.5 | 5 | 9,504.9 | 7 | 13,333.0 | 17 | 28,394 |
Bald Mountain | | - | 4 | 4,868.0 | | - | 4 | 4,868 |
2012 | N of N.Bullion | 2 | 5,085.0 | 1 | 3,627.5 | | - | 3 | 8,712 |
POD-N.Bullion | 4 | 5,985.0 | 25 | 43,528.4 | 2 | 4,583.0 | 31 | 54,096 |
Bald Mountain | | - | 3 | 5,810.0 | | - | 3 | 5,810 |
2013 | POD-N.Bullion | 5 | 7,575.0 | 15 | 26,910.9 | | - | 20 | 34,486 |
Bald Mountain | 4 | 7,995.0 | 3 | 5,192.0 | | - | 7 | 13,187 |
2014 | Bald Mountain | 5 | 6,220.0 | | - | | - | 5 | 6,220 |
2015 | POD-N.Bullion | | - | 2 | 3,143.0 | 2 | 2,324.3 | 4 | 5,467 |
2016 | Bald Mountain | 9 | 16,440.0 | | - | | - | 9 | 16,440 |
POD-N.Bullion | 1 | 2,185.0 | | - | 9 | 17,242.0 | 10 | 19,427 |
2017 | Bald Mountain | 4 | 5,315.0 | | - | | - | 4 | 5,315 |
POD-N.Bullion | 1 | 1,250.0 | | | 10 | 17,553.5 | 11 | 18,804 |
2019 | Bullion | 2 | 3,140.0 | | | | | 2 | 3,140 |
2020 | Bullion | 27 | 8,850.0 | 11 | 3,558.5 | | | 38 | 12,409 |
2010-2020 | N. Railroad Totals | 76 | 86,926.4 | 74 | 113,484.7 | 34.0 | 61,130.7 | 184 | 261,542 |
South Railroad |
2012 | Pinion & Vicinity | 6 | 9,930.0 | | | | | 6 | 9,930 |
2014 | Pinion & Vicinity | 53 | 41,365.0 | 4 | 1,584.0 | | | 57 | 42,949 |
2015 | Pinion & Vicinity | 24 | 30,870.0 | | | | | 24 | 30,870 |
Dark Star | 12 | 15,160.0 | 1 | 1,402.0 | | | 13 | 16,562 |
Irene | 1 | 1,985.0 | | | | | 1 | 1,985 |
2016 | Pinion & Vicinity | 20 | 24,888.0 | 5 | 1,564.8 | | | 25 | 26,453 |
Dark Star | 19 | 29,230.0 | 21 | 29,309.5 | | | 40 | 58,540 |
Dixie | 2 | 3,905.0 | | | | | 2 | 3,905 |
Irene | 2 | 4,450.0 | | | | | 2 | 4,450 |
2017 | Pinion & Vicinity | 16 | 6,290.0 | 3 | 1,380.0 | | | 19 | 7,670 |
Dark Star | 35 | 42,017.5 | 12 | 8,643.0 | | | 47 | 50,661 |
Jasperoid Wash | 10 | 11,670.0 | 2 | 2,592.0 | | | 12 | 14,262 |
Dixie | 17 | 25,237.0 | 1 | 1,462.0 | | | 18 | 26,699 |
2018 | Pinion & Vicinity | 106 | 39,375.0 | 31 | 11,892.0 | | | 137 | 51,267 |
Dark Star | 122 | 76,805.0 | 23 | 14,010.5 | 1 | 2,035.0 | 146 | 92,851 |
Jasperoid Wash | 46 | 30,670.0 | 3 | 2,923.0 | | | 49 | 33,593 |
Dixie | 27 | 40,181.0 | | | | | 27 | 40,181 |
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| Ski Track | 6 | 6,680.0 | | | | | 6 | 6,680 |
2019 | Pinion & Vicinity | 3 | 1,462.0 | 18 | 3,523.5 | | | 21 | 4,986 |
Dark Star | 90 | 44,340.0 | 5 | 2,086.0 | 1 | 3,412.0 | 96 | 49,838 |
Jasperoid Wash | 9 | 7,130.0 | 1 | 592.0 | | | 10 | 7,722 |
Dixie | 8 | 9,215.0 | | | | | 8 | 9,215 |
Ski Track | 2 | 1,970.0 | | | | | 2 | 1,970 |
2020 | Pinion & Vicinity | 71 | 47,105.0 | 22 | 16,174.0 | | | 93 | 63,279 |
Dark Star | 25 | 10,600.0 | 7 | 4,984.0 | | | 32 | 15,584 |
2021 | Pinion & Vicinity | 17 | 12,540.0 | | | | | 17 | 12,540 |
Dark Star | 22 | 5,710.0 | | | 5 | 1,220.0 | 27 | 6,930 |
2012-2021 | S. Railroad Totals | 771 | 580,780 | 159 | 104,122 | 7 | 6,667 | 937 | 691,570 |
| Grand Totals | 847 | 667,706.8 | 233 | 217,607.0 | 41 | 67,797.7 | 1,121 | 953,112 |
* includes sonic holes; ** includes geotechnical holes |
10.4.1 | North Bullion Deposits Drilling by Gold Standard |
Drilling by Gold Standard in the North Bullion area commenced in 2010 and a total of 261,542 ft had been drilled in 184 holes through the end of 2020. No drilling was done in 2021. Drill collar locations in the North Bullion area are shown in Figure 10-2.
10.4.1.1 | 2010-2013 North Bullion Deposits Drilling |
From 2010 through 2013, Gold Standard drilled 101 holes totalling 174,321 ft in the North Bullion area (Table 10-3; Figure 10-2; Hunsaker, 2012a, b; Shaddrick, 2012; Koehler et al., 2014). In 2010, Gold Standard utilized gravity data and geological models to identify an untested target that led to intercepts of 105 ft of 0.041 oz Au/ton and 143 ft of
0.035 oz Au/ton in hole RR10-8 at the North Bullion deposit (Jackson et al., 2015). This discovery of blind, sedimentary- rock hosted, Carlin-style gold mineralization leads to additional drilling conducted from 2010 to 2013 within the North Bullion deposit area and eventually to the estimated gold mineral resources presented in Section 14. The true thickness of mineralization in the POD deposit and North Bullion deposit, and its relationship to drill interval lengths, is discussed in Section 14 of this Technical Report.
Gold Standard’s 2010 and 2013 RC drilling was conducted by Hard Rock Exploration Inc. (“Hardrock”) and National Exploration Wells and Pumps (“National”), using a TH75 and 685 Schramm, respectively. Bit sizes were 5 ¼ in. to 6 ½ in. diameter bits. The rig was operated on one or two 12 hr shifts per day. RC samples were collected continuously over 5.0 ft intervals and split with a rotating wet splitter located beneath the cyclone. A drilling technician placed a few ounces of each 5.0 ft interval in plastic chip trays for logging.
Core drilling in 2010 to 2013 was done by Redcor Drilling Inc. with an LF-230 rig. Core sizes were PQ3, HQ3, and NQ3. No drilling was done in 2014.
10.4.1.2 | 2015 North Bullion Deposits Drilling |
In 2015, Gold Standard drilled two core holes and two RC holes with core tail holes totalling 5,467 ft (Table 10-3; Figure 10-2; Turner et al., 2015; Dufresne and Koehler, 2016). The RC drilling was conducted by National using a 685 Schramm. Bit sizes were 5 ¼ in. to 6 ½ in. diameter bits. The rig was operated on one or two 12-hr shifts per day. RC samples were collected continuously over 5.0 ft intervals and split with a rotating wet splitter located beneath the cyclone. A drilling technician placed a few ounces of each 5.0 ft interval in plastic chip trays for logging.
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Figure 10-2: Map of North Railroad Property Drill Collar Locations
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The 2015 core drilling was performed by Timberline Drilling (“Timberline”) of Elko Nevada using an LF90 drill rig Core sizes were PQ3, HQ3, and NQ3. Core was also drilled by TonaTec Exploration LLC (“TonaTec”) of Utah. The rig may have been a CS2000. Core sizes were PQ3, HQ3, and NQ3.
10.4.1.3 | 2016-2017 North Bullion Deposits Drilling |
A total of 59,985 ft was drilled in 34 holes in 2016 and 2017 (Table 10-3; Figure 10-2). Most of the RC drilling was conducted by National using a 685 Schramm. Bit sizes were 5 ¼ in. to 6 ½ in. diameter bits. The rig was operated on one or two 12-hr shifts per day. RC samples were collected continuously over 5.0 ft intervals and split with a rotating wet splitter located beneath the cyclone. A drilling technician placed a few ounces of each 5.0 ft interval in plastic chip trays for logging.
Boart Longyear of Elko, Nevada was the contractor for four RC holes drilled in 2017. A track-mounted drill of unknown type was used; specific methods and procedures are not reported.
The 2015 core drilling was performed by Timberline of Elko Nevada using an LF90 drill rig. Core sizes were PQ3, HQ3, and NQ3. Core was also drilled by First Drilling (“First Drilling”) of Elko Nevada. The rig was an LF90. Core sizes were PQ3, HQ3, and NQ3.
10.4.1.4 | 2019-2020 North Bullion Deposits Drilling |
Gold Standard drilled a total of 15,549 ft in 40 RC holes at the North Bullion deposits during 2019 and 2020. National and Major Drilling Group International Inc. (“Major”) of Salt Lake City, Utah, were the drilling contractors.
The results from drilling completed prior to August 21,2020 were used to estimate the current gold mineral resources presented in Section 14.5 of this Technical Report. A total of 38 holes for 12,409 ft were drilled after the August 21, 2020, effective date of the North Bullion database.
10.4.2 | Bald Mountain Drilling by Gold Standard |
A total of 51,850 ft was drilled by Gold Standard in 22 RC and 10 core holes in the Bald Mountain area from 2011 through 2017 (Table 10-3; Figure 10-2). Drilling contractors, rig types and diameters for the Bald Mountain area drilling are summarized in Table 10-4.
All 2011-2017 core drilling was done with two 12-hr shifts per day. The RC drills operated for one or two 12-hr shifts per day. RC samples were collected continuously over 5.0 ft intervals and split with a rotating wet splitter located beneath the cyclone.
Table 10-4: Bald Mountain Drilling Contractors and Methods
Year | RC Contractor | RC Drill Rig | RC Diameter | Core Contractor | Core Drill Rig | Core Diameter |
2011 to 2013 | NA | NA | NA | Redcor | LF-230 | PQ3, HQ3, and NQ3 |
2014 | Hardrock | TH75 | 5¼ in. to 6½ in. | NA | NA | NA |
2016 | National | 685 Schramm | 5¼ in. to 6½ in. | NA | NA | NA |
2017 | Boart Longyear | MPD 1500 | 5¼ in. to 6½ in. | NA | NA | NA |
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10.5 | gold standard drilling, south railroad area 2012-2019 |
Drilling in the South Railroad portion of the property by Gold Standard commenced in 2012. As summarized in Table 10-3, a total of 691,750 ft was drilled in 937 holes (Figure 10-1). Approximately 84% of the feet and 82% of the holes were drilled with RC methods. Diamond-core drilling accounts for about 15% of the feet and 17% of the holes; the balance of the drilling was done using RC followed by core tails. Both angle and vertical drilling was done.
A Gold Standard representative checked each drill rig at least once per day during drilling to monitor sample collection. For core drilling, Gold Standard geologists completed paper or digital logs on the whole core. The logs captured and illustrated core recovery, sample intervals, lithologic data, hydrothermal alteration, mineralogy, and structural features. Structural features were measured with respect to the core axis. When available, structural features were measured on core oriented using a Reflex Act 2 orienting device. Photographs were taken of all drill core, labeled with drill hole footages and sample intervals. RC drill chips were also logged on paper or digital logs by Gold Standard geologists. The data from the paper drill logs were later captured in electronic spreadsheets for both core and RC drill holes.
Gold Standard’s RC holes were drilled with water injection. Face-return bits were utilized when not impeded by excess water. Tri-cone bits were only used when the hammer bits were unable to function due to excessive water pressure.
10.5.1 | Dark Star Area Drilling by Gold Standard |
In 2015, Gold Standard began drilling in the Dark Star deposit area to extend historically known shallow oxidized gold mineralization and to test other exploration targets. In 2015 through 2021, Gold Standard drilled a total of 290,964.5 ft in 401 holes (Table 10-3). RC drilling accounts for about 82% of the holes and 77% of the feet drilled by Gold Standard. Collar locations for the Gold Standard drilling at Dark Star are shown in Figure 10-2 and in greater detail in Figure 14-1.
Drilling contractors, rig types and diameters for the Dark Star area drilling are summarized in Table 10-5. All 2015-2021 core drilling was done with two 12-hr shifts per day. The RC drills operated for one or two 12-hr shifts per day. RC samples were collected continuously over 5.0 ft intervals and split with a rotating wet splitter located beneath the cyclone.
Table 10-5: Gold Standard’s Dark Star Drilling Contractors and Methods
Year | RC Contractor | RC Drill Rig | RC Diameter | Core Contractor | Core Drill Rig | Core Diameter |
2015 | National | T450GT, 685 Schramm | 5¼ in. to 6½ in. | National | CT14 | PQ3, HQ3, and NQ3 |
2016 | National | 685 Schramm | 5¼ in. to 6½ in. | National; Timberline | CT14; LF90 | PQ3, HQ3, and NQ3 |
2017 | National; Boart Longyear | 685 Schramm, T450GT; 685 Schramm, MPD1500 | 5¼ in. to 6½ in. | First Drilling; National | LF90; CT14 | PQ3, HQ3, and NQ3 |
2018 | National | 685 Schramm, T450GT, EDM95; 685 Schramm, MPD1500 | 5¼ in. to 6½ in. | First Drilling; National; Boart Longyear | LF90; CT14; LF90 | PQ3, HQ3, and NQ3 |
2019 | National; Major | Schramm T450GT, Schramm 455GT EDM95 | 5¼ in. to 6½ in. | First Drilling | LF90 | PQ3, HQ3 |
2020 | National; Major | Schramm T450GT, Schramm 455GT EDM95 | 5¼ in. to 6½ in. | First Drilling; National; Major | LF90; EDM45K | PQ3, HQ3 |
2021 | Major | Schramm T450GT | 5¼ in. to 6½ in. | Major | LF90 | SQ, PQ3 |
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Highlights from the 2016 drill program at Dark Star and an updated mineral resource estimate were presented by Dufresne and Nicholls (2017a). In 2019, the mineral resource estimate was updated by Ibrado et. al. (2019). The current estimate of mineral resources for Dark Star is presented in Section 14.2 of this Technical Report. The true thickness of mineralization in the Dark Star deposit, and its relationship to drill interval lengths, is shown in Section 14.2 of this Technical Report.
10.5.2 | Pinion Area Drilling by Gold Standard |
Gold Standard’s drilling in the Pinion deposit area (Figure 10-1) has totalled 249,943.3 ft in 399 holes drilled from 2012 through September 21, 2021 (Table 10-3). A total of 16 RC holes for 12,140 ft were drilled after the June 2, 2021 effective date of the Pinion resource database. The great majority of the drilling, approximately 86% of the feet drilled, was done with RC methods. Contractors, rig types, and hole diameters for the Pinion area drilling by Gold Standard are summarized in Table 10-6.
Following acquisition of the Pinion deposit area in 2014, in the South Railroad part of the property, Gold Standard focused their drilling on the expansion and infill drilling of various zones of what is now the Pinion gold deposit. The 2014 drilling (Table 10-3) produced significant gold intervals at the Pinion deposit indicating that gold mineralization associated with multi-lithic breccia and certain structures remained open along and across strike. Further drilling of 23 holes in 2015 also provided significant gold intercepts indicating the mineralized system was still open in a number of directions.
Table 10-6: Gold Standard Pinion Area Drilling Contractors and Methods
Year | RC Contractor | RC Drill Rig | RC Diameter | Core Contractor | Core Drill Rig | Core Diameter |
2014 | Hard Rock; Major | TH75; T450GT | 5¼ in. to 6½ in. | Major | LF230 | PQ3, HQ3, and NQ3 |
2015 | Hard Rock; National | TH75; T450GT, 685 Schramm | 5¼ in. to 6½ in. | NA | NA | NA |
2016 | National | 685 Schramm | 5¼ in. to 6½ in. | National; Timberline | CT14; LF90 | PQ3, HQ3, and NQ3 |
2017 | Boart Longyear | 685 Schramm, MPD1500 | 5¼ in. to 6½ in. | National | CT14 | PQ3, HQ3, and NQ3 |
2018 | National; Boart Longyear | 450 Schramm; 685 Schramm | 5¼ in. to 6½ in. | First Drilling; Boart Longyear | LF90; LF90 | PQ3, HQ3, and NQ3 |
2019 | none | none | none | First Drilling | LF90 | PQ3, HQ3 |
2020 | National; Major | Schramm T450GT, Schramm T455GT EDM95 | 5¼ in. to 6½ in. | First Drilling; Major | LF100; CT20; LF90 | PQ3, HQ3 |
2021 | National; Major | Schramm T450GT, Schramm T130 | 5¼ in. to 14½ in. | none | none | none |
In 2016, Gold Standard drilled a total of 25 holes in the Pinion deposit area for a total of 26,452 ft. This drilling was designed to extend known zones of mineralization, provide infill data for specific zones, and provide material for metallurgical testing. Several holes were drilled to test the Irene geological and geochemical target 1.2 miles west of the Pinion deposit (Figure 10-1) and at the Sentinel target to the north of the Pinion deposit.
The 2016 Pinion drilling resulted in several significant gold intersections, defined as averaging greater than the 0.004 oz Au/ton cut-off grade that was used previously for the 2016 estimate of Pinion gold mineral resources (Dufresne and Nicholls, 2016). Most significantly, the 2016 drilling identified a new stratigraphic target called the Sentinel zone, which is located at the north end of the Pinion deposit area and comprises gold hosted within the Sentinel Mountain dolomite and the top of the underlying Oxyoke sandstone, below the Devils Gate Limestone. The Sentinel gold mineralization is shallow, oxidized, and open to the north and west.
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Gold Standard’s 2014 through 2018 RC drilling was conducted on one or two 12-hr shifts per day. RC samples were collected continuously over 5.0 ft intervals and split with a rotating wet splitter located beneath the cyclone. The splitter reduced the samples to approximately 5.0 to 20 lb, which were collected in pre-numbered sample bags. A few ounces of each 5.0 ft interval were placed in chip trays for logging.
Results from the 2014 through 2021 Gold Standard drilling were used with data from historical drilling to estimate the current gold mineral resources presented in Section 14.3 of this Technical Report. The true thickness of mineralization in the Pinion deposit, and its relationship to drill interval lengths, is discussed in Section 14 of this Technical Report.
10.5.3 | Jasperoid Wash Area Drilling by Gold Standard |
Gold Standard’s drilling at the Jasperoid Wash deposit area commenced in 2017. Since then, a total of 55,577 ft have been drilled in 71 holes (Table 10-3). RC drilling accounts for about 92% of the holes and 89% of the feet drilled by Gold Standard. Collar locations for the Gold Standard drilling at Jasperoid Wash are shown in Figure 10-1 (see Section
14.4 and Figure 14-22 for a detailed map).
The 2017 and 2018 RC drilling were conducted by National using a 450 Schramm, 685 Schramm, and an EDM 95. Major also drilled at Jasperoid Wash and used a 455 Schramm. Bit sizes were 5¼ in. to 6½ in. in diameter. The rig was operated on two 12-hr shifts per day. RC samples were collected continuously over 5.0 ft intervals and split with a rotating wet splitter located beneath the cyclone. A drilling technician placed a few ounces of each 5.0 ft interval in plastic chip trays for logging.
Core drilling in 2017 and 2018 was carried out by National and First Drilling using a CT14 and an LF90, respectively. Core sizes drilled were PQ3, HQ3, and NQ3. RC drilling in 2019 was done by Major and National.
The results of the Gold Standard drilling, together with historical drill data from Jasperoid Wash, have been used to estimate the current gold mineral resources presented in Section 14.4 of this Technical Report. The true thickness of mineralization in the Jasperoid Wash deposit, and its relationship to drill interval lengths, is shown in Section 14.4 of this Technical Report.
The 2018 mineral resources reported by Ibrado et. al. (2019) for Jasperoid Wash are superseded by the mineral resources estimated in Section 14 of this Technical Report.
10.5.4 | Irene Area Drilling by Gold Standard |
Three RC holes for a total of 6,435 ft were drilled at the Irene prospect about 1.2 miles west of the Pinion deposit in 2015 and 2016 (Table 10-3). Drilling done at Irene used drill rigs similar to those used for the Pinion drilling.
10.5.5 | Dixie Area Drilling by Gold Standard |
The Dixie prospect, including Arturus and Elliot Dome targets, located about 1.9 miles south of Dark Star, was drilled by Gold Standard in 2016, 2017, 2018, and 2019. A total of 80,000 ft was drilled in 51 RC holes, three core holes, and one RC pre-collar holes with a core tail (Table 10-3). This drilling was conducted by National using a 685 Schramm, 450 Schramm, and EDM 95, and Boart Longyear using a 685 Schramm or MPD1500. Major also drilled at Dixie in 2018 using a 455 and a 685 Schramm. Bit sizes were 5¼ in. to 6½ in. diameter. The rigs operated on two 12-hr shifts per day. RC samples were collected continuously over 5.0 ft intervals and split with a rotating wet splitter located beneath the cyclone. A drilling technician placed a few ounces of each 5.0 ft interval in plastic chip trays for logging.
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Core drilling was conducted by National and First Drilling using a CT14 and LF90, respectively. Core sizes drilled were PQ3, HQ3, and NQ3.
10.5.6 | Ski Track Drilling by Gold Standard |
Eight RC holes were drilled in 2018 and 2019 at the Ski Track prospect by Major and National for a total of 8,650 ft. Major used a 685 Schramm. Bit sizes were 5¼ in. to 6½ in. in diameter. The rigs operated on two 12-hr shifts per day. RC samples were collected continuously over 5.0 ft intervals and split with a rotating wet splitter located beneath the cyclone. A drilling technician placed a few ounces of each 5.0 ft interval in plastic chip trays for logging.
10.6 | drill-hole collar surveys |
10.6.1 | Historical Collar Surveys, North Railroad Portion of the Property |
APEX stated that collar locations were rectified to a satellite orthophoto with one-meter contours (Dufresne and Nicholls, 2017b). Elevations for all the remaining holes were adjusted to a topographic surface created from the orthophoto.
10.6.2 | Historical Collar Surveys, South Railroad Portion of the Property |
Mr. Lindholm has no information on the methods used to survey the locations of the historical drill collar locations in the South Railroad portion of the property. Coordinates for historical drill holes at the Pinion, Dark Star, and Jasperoid Wash deposits were obtained from old records, resurveying in the field, and taken from historical maps. Much work was done by Gold Standard and APEX resolving collar location issues. However, those few that did contradict surrounding holes, or whose geology and grades were improbable, were eliminated from use in modeling and estimation.
10.6.3 | Gold Standard Collar Surveys, North Railroad Portion of the Property |
Gold Standard has performed differential Global Positioning System (“GPS”) surveys of all collar locations for holes drilled from 2010 through 2021. The surveys were carried out by Apex Surveying LLC out of Spring Creek Nevada using a Trimble differential GPS. Where possible, the locations of historical drill collars were also surveyed. During their site visits, APEX located some historical and Gold Standard drill collars using a hand-held GPS, along with tracks representing drill roads and trails. Although unmarked in the field, several drill collars were ascertained due to their unique location, which were found to be consistent with historically recorded location information. Further work on refining the collar positions has been performed by Gold Standard personnel and reviewed by the author of this section of the report.
The most significant problem with the historical drill locations are collar elevations which initially had obvious errors. With near flat-lying mineralized zones it was imperative to obtain a reliable dataset of collar elevations that were internally consistent from one hole to the next. Once accurate real-world coordinates were obtained for the historical collars, elevations were obtained by projecting the collars to a digital elevation model that was generated by Pacific Geomatics from ortho-rectified satellite imagery with ~1 m elevation and horizontal resolution.
10.6.4 | Gold Standard Collar Surveys, South Railroad Portion of the Property |
As stated in Section 10.6.3, the collar locations for all Gold Standard holes drilled through 2021 were surveyed by differential GPS. After the holes were abandoned, the collars were marked by wooden lath with the hole name on a wire and aluminum tag placed in the cement collar plug. Apex Surveying, LLC, of Spring Creek, Nevada professionally surveyed the Gold Standard drill collars at the Pinion, Dark Star and Jasperoid Wash deposits using a “differential GPS” according to APEX.
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10.7.1 | Historical Down-Hole Surveys, North and South Railroad Portions of the Property |
APEX reported that most of the deeper historical drill holes in the Railroad-Pinion property were downhole surveyed (Dufresne and Nicholls, 2017b). Survey equipment used is unknown. During 1999, at least a portion of the Kinross drill holes in various areas of the property were surveyed down-hole by Silver State Surveys of Elko, Nevada (Jones et al., 1999), but the type of instrument and methods and procedures are not known.
10.7.2 | Gold Standard Down-Hole Surveys, North and South Railroad Portions of the Property |
Gold Standard contracted International Directional Services (“IDS”), who used Stockholm Precision Tools with a continuous-read, north-seeking gyro down-hole surveying tool named Memory North Seeking Gyroscopic Inclinometer. IDS has also used an Axis Champ Navigator, supplied by Axis Mine Tech. In 2017, Gold Standard contracted Minex, using a MEMS continuous-read, north-seeking gyro down-hole surveying tool. All holes longer than ~300 ft were down- hole surveyed for azimuth and dip.
The authors believe that the drilling, sampling, and logging methods and procedures provided samples that are representative and of sufficient quality for use in the mineral resource estimations subject to the elimination of some drill holes and some samples, and to the downgrading of mineral resource classification when blocks were dominantly estimated by historical drilling (discussed in Section 14). The authors are aware of sampling or recovery factors that impact the reliability of the samples for use in a mineral resource estimate. Those samples were removed from use in estimation (discussed in Section 14).
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SECTION 11 TABLE OF CONTENTS
SECTION | | PAGE |
11 | SAMPLE PREPARATION, ANALYSES AND SECURITY | 11-1 |
| 11.1 | HISTORICAL OPERATORS’ DRILLING SAMPLES - NORTH RAILROAD PORTION OF THE PROPERTY | 11-1 |
| 11.2 | GOLD STANDARD’S DRILLING SAMPLES - NORTH RAILROAD PORTION OF THE PROPERTY | 11-2 |
| 11.3 | HISTORICAL OPERATORS - SOUTH RAILROAD PORTION OF THE PROPERTY | 11-3 |
| 11.4 | GOLD STANDARD - SOUTH RAILROAD PORTION OF THE PROPERTY | 11-5 |
| | 11.4.1 | Pinion Deposit Area Drill Samples | 11-5 |
| | 11.4.2 | Dark Star Deposit Area Drill Samples | 11-7 |
| | 11.4.3 | Jasperoid Wash Area Drill Samples | 11-7 |
| | 11.4.4 | Dixie Area Drill Samples | 11-8 |
| | 11.4.5 | Ski Track Area Drill Samples | 11-8 |
| 11.5 | Author’s Opinion | 11-8 |
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11 | SAMPLE PREPARATION, ANALYSES AND SECURITY |
The information presented in Section 11 is derived by MDA from Dufresne et al., 2017, Dufresne and Nicholls (2017b), data received directly from Gold Standard, Ibrado et al. (2020), and other sources, as cited. The authors have reviewed this information and believe this summary accurately represents the methods, procedures and analyses used for the drilling samples on which the estimated mineral resources presented in Section 14 of this Technical Report are based.
Documentation of the methods and procedures used for historical surface and drilling sample collection, preparation, analyses, and sample security at the Railroad-Pinion property is incomplete and in many cases is not available. MDA recommends that Gold Standard compile and evaluate the information contained in records that are available.
Methods and procedures used for the security, preparation, and analysis of surface samples collected by historical operators and Gold Standard have not been evaluated for this Technical Report because the results have not been used in the estimation of the mineral resources presented in Section 14. While useful for identifying drilling targets and planning exploration drilling, the results and representativity of the Gold Standard surface sampling are not of material importance to the interpretations and conclusions of this Technical Report. The reader is referred to Koehler et al. (2014), Dufresne et al. (2014; 2015; 2017) and references cited in those reports for information on Gold Standard’s soil- and rock-sample collection, security, preparation, and analyses.
11.1 | historical operators’ drilling samples - north railroad portion of the property |
Historical drill logs and reports in the possession of Gold Standard have not been evaluated. MDA recommends that Gold Standard extract and compile information from available documents regarding logging methods, and where available, information on core diameters, RC-bit diameters, and sample splitting prior to shipment to the analytical laboratories.
The authors and Gold Standard are not aware of the methods and procedures used by American Selco, Placer Amex, El Paso, AMAX, Homestake, and NICOR for historical drill-sample collection, splitting, preparation, analyses, and sample security during drilling at Bald Mountain and North Bullion from 1969 through 1986.
Samples from the Westmont drilling in the North Bullion area in 1987 were analyzed for gold and silver by fire assay methods at Universal Laboratory, Inc. (“Universal”), in Elko, Nevada. It is not known if this laboratory was independent of Westmont, or if any certifications were held. Samples from Westmont’s drilling at North Bullion in 1990 and 1992 were analyzed at Cone Geochemical Inc. (“Cone”), in Lakewood, Colorado. Gold was determined by fire-assay fusion of 30 g aliquots. Cone was independent of Westmont, but MDA is not aware if any certifications were held by Cone at that time. MDA is not aware of sample security measures taken or the details of transport from the drill sites to the laboratories.
Samples from Ramrod’s drilling in the North Bullion area in 1994 were assayed at Cone and at Monitor Geochemical Laboratory Inc. (“Monitor), in Elko, Nevada. At Cone, gold was determined by fire-assay fusion of 25 g and 1.0 g aliquots with an atomic adsorption (“AA”) finish. At Monitor, Ramrod’s samples were analyzed for gold and silver by 30 g fire-assay fusion and some were analyzed by cyanide-leach with an AA finish. Some composited pulps representing 25 ft lengths were analyzed for arsenic, antimony and mercury by unspecified method(s). Monitor and Cone were independent of Ramrod. It is not known if any certifications were held by these laboratories at the time. MDA is not aware of sample-security measures taken or the details of transport from the drill sites to the laboratories.
In 1997, Mirandor’s drill samples from north of North Bullion and the Bald Mountain areas were analyzed by Interteck Testing Services, a division of Bondar-Clegg & Company Ltd. (“Bondar-Clegg”), in North Vancouver, British Columbia. Gold was determined by fire-assay fusion of 30 g aliquots with an AA finish. Some samples were re-analyzed for gold by 30 g fire assay with a gravimetric finish. Silver was determined by AA and inductively-coupled plasma-emission spectrometry (“ICP). Some samples were analyzed for copper, lead, zinc, molybdenum, arsenic, and antimony by AA, and for mercury by cold-vapor AA (“CVAA”). Bondar-Clegg was independent of Mirandor. MDA is not aware if any certifications were held by Bondar-Clegg at that time. MDA is not aware of sample-security measures taken or the details of transport from the drill sites to the laboratory.
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Samples from Kinross’ drilling in 1998 and 1999 at North Bullion and Bald Mountain were analyzed at Chemex Labs, Inc. (“Chemex”), in Sparks, Nevada. Gold was determined by fire-assay fusion of 30 g aliquots with an AA finish. Some samples were re-analyzed for gold by 30 g fire assay with a gravimetric finish. Composited pulps representing 25 ft sample lengths were analyzed ICP for 35 minor, major, and trace elements, including silver. Chemex was independent of Kinross. MDA is not aware if any certifications were held by Chemex at that time. MDA is not aware of sample- security measures taken and the details of transport from the drill sites to the laboratory.
11.2 | gold standard’s drilling samples - north railroad portion of the property |
Commencing in 2010, drilling company employees collected Gold Standard’s RC samples at the rig. Those samples were then picked up at the drill sites by representatives of ALS Minerals (“ALS”) or Inspectorate America Corporation (“Inspectorate”), a division of Bureau Veritas Mineral Laboratories USA (“Bureau Veritas”) and transported by truck to their respective laboratories in either Elko or Reno, Nevada (for ALS), or Elko (for Bureau Veritas). Excessively wet samples were kept at the drill sites for a few days to drain and dry prior to collection by the laboratory staff.
ALS and Bureau Veritas were, and continue to be, commercial laboratories independent of Gold Standard. ALS is accredited to the standard ISO/IEC 17025:2005 for specific analytical procedures, while most of their laboratories have attained ISO 9001:2008 certification. Bureau Veritas’ laboratories in Sparks, Nevada is accredited to the standard ISO/IEC 17025:2017, RG- MINERAL:2017. The Bureau Veritas laboratory in Vancouver, British Columbia is accredited to the standard ISO/IEC 17025:2005 and ISO 9001:2008.
Core samples were transported daily from the drill sites to Gold Standard’s logging and core-cutting facility in Elko by Gold Standard personnel. After logging and marking core-sample intervals by Gold Standard geologists, the core was photographed prior to being sawed lengthwise by contractor technicians. Whole HQ-size core was sawed in half. Whole PQ-size core was sawed in quarters. One half of the HQ core, and three quarters of the PQ core, were returned to the core boxes and the remainder was placed in pre-numbered sample bags that were closed with ties. Following insertion of quality assurance/quality control (“QA/QC”) blanks and certified reference materials (“CRMs”), the core samples were transported by representatives of ALS or Bureau Veritas to their respective laboratories for preparation and analysis.
Samples from Gold Standard’s RC and core drilling at North Bullion in 2010 through 2014, and at Bald Mountain in 2014, were prepared at the ALS laboratories in Elko and Reno, Nevada. The samples were dried and crushed in their entirety to 70% at less than 0.079 in. The crushed samples were riffle-split to obtain 8.82 oz subsamples that were pulverized to 85% less than 75 microns. The pulps were shipped by air freight by ALS to the ALS laboratory in North Vancouver, British Columbia, for analysis. Gold was determined by 30 g fire-assay fusion with an AA finish (method code Au-AA23). Samples assayed at ≥0.292 oz Au/ton were re-analyzed with a second 30 g aliquot by fire-assay fusion and gravimetric finish (method code Au-GRA21). Separate aliquots of 0.5 g were analyzed for silver and 34 major, minor and trace elements by ICP following an aqua regia digestion. In some cases, the ICP analyses were conducted on pulps from 5.0 ft drill samples. In other cases, ICP analyses were conducted on composited pulps representing 20 ft drill intervals. Samples that assayed >292 oz/t for silver or zinc by ICP were re-analyzed using AA following aqua regia digestion of 0.1 g aliquots.
A minority of the 2010 through 2012 drill samples were analyzed by SGS Canada Inc. (“SGS”) of Vancouver, British Columbia. The assay certificates do not indicate how or where the samples were prepared for analysis. At the SGS laboratory in Burnaby, British Columbia, gold was determined by 30 g fire-assay fusion with an AA finish and separate aliquots were analyzed by ICP for 35 major, minor and trace elements. SGS was a commercial laboratory independent of Gold Standard. MDA is not aware of certifications held by SGS at that time.
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In 2013, pulps from previously prepared samples from North Bullion were analyzed by Bureau Veritas in Sparks, Nevada. Gold was determined by 30 g fire-assay fusion with an AA finish. Some of the samples were analyzed using a 30 g aliquot by fire-assay fusion and gravimetric finish. In 2014, some of the Bald Mountain drill sample pulps were re-analyzed at Bureau Veritas’ laboratory in Vancouver, British Columbia for copper by cyanide-H2SO4 leach. Other pulps were analyzed for 45 major, minor and trace elements by a combination of ICP and mass spectrometry (“ICP- MS”) after 4-acid digestion.
Samples from the 2015, 2016. and 2017 drilling at North Bullion and Bald Mountain were analyzed at ALS and Bureau Veritas. At ALS the methods and procedures of preparation were the same as those used in 2010 through 2014. Gold was determined using ALS method code Au-AA23 and Au-GRA21 principally in the ALS laboratory in North Vancouver. Most gold assays on 2017 North Bullion samples were performed in the ALS laboratory in Reno with the same methods (Au-AA23; Au-GRA21). Separate aliquots of 0.5 g were analyzed for silver and 34 major, minor and trace elements by ICP following an aqua regia digestion in the North Vancouver laboratory. In some cases, these were composited pulps representing 20 ft drill intervals.
A significant portion of the samples from the 2016 North Bullion drilling, and the majority of the 2017 North Bullion samples, were prepared and analyzed by Bureau Veritas. These samples were prepared in the Bureau Veritas laboratory in Elko. After crushing, a 8.0 oz riffle-split subsample was obtained from each drill sample. These subsamples were pulverized to 200-mesh size and the pulps were shipped to the Bureau Veritas laboratory in Sparks, Nevada. Gold was determined by fire-assay fusion of 30 g aliquots with an AA finish. The pulps were shipped via air freight by Bureau Veritas to their analytical laboratory in Vancouver where they were analyzed for 45 major, minor and trace elements by ICP-MS after four-acid digestion.
Samples from Gold Standard’s 2019 North Bullion drilling were analyzed at Bureau Veritas. At total of 40 major, minor and trace elements, including gold, were analyzed by ICP following an aqua regia digestion. The 2020 North Bullion drilling samples were analyzed at ALS for gold using a 30 g aliquot by fire-assay fusion followed by an AA finish.
11.3 | Historical Operators - South Railroad Portion of the Property |
AMOCO and Cyprus’ drilling samples from the Pinion area in 1980 and 1981 were mainly analyzed at Barringer Resources, Inc. (“Barringer”) in Sparks, Nevada. Gold and silver were determined by fire-assay fusion of 30 g aliquots. Some samples were also analyzed for arsenic and mercury, but no other information is available. In 1980, some of AMOCO’s samples were analyzed for silver and gold at Monitor, but the methods of analysis are not available. Barringer and Monitor were independent of AMOCO and Cyprus. MDA is not aware of any certifications that may have been held by these laboratories at that time.
In 1981, Newmont’s drilling samples from the Irene area were analyzed at Monitor in Elko. Gold and silver were determined by fire-assay fusion, but MDA has no other information on the methods and procedures used. Newmont’s 1982 drilling samples from the Pinion area were analyzed at Skyline Labs Inc. (“Skyline”), in Tucson, Arizona. Gold was determined by fire-assay fusion, but no other information is available. Skyline and Monitor were independent of Newmont, but MDA is not aware of any certifications that may have been held by these laboratories at that time.
Santa Fe’s samples from their 1985 drilling in the Pinion area were analyzed by Monitor in Elko. Gold was determined by fire-assay fusion of 30 g aliquots, but no other information is available. Monitor was independent of Santa Fe, but MDA is not aware of any certifications that may have been held by Monitor at that time.
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Samples from Teck Resource’s drilling in the Pinion area in 1987 and 1989 were analyzed by Chemex in Sparks, Nevada. Gold was determined by fire-assay fusion with an AA finish. Some samples were analyzed for silver using AA after an aqua regia digestion. In 1988, Teck’s samples from Pinion were analyzed at American Assay Laboratories (“AAL”) in Sparks. Gold was determined by fire-assay fusion of 30 g aliquots with an AA finish. Silver was determined by AA following aqua regia digestion. Some samples were analyzed for gold by fire-assay fusion of 60 g aliquots. Chemex and AAL were independent of Teck, but MDA is not aware of certifications held by these laboratories at that time.
Newmont’s 1987 and 1988 drilling samples from the Pinion area, and some of their 1989 Pinion samples, were analyzed at Geochemical Services, Inc. (“GSI”). MDA is not aware of the location(s) of the GSI laboratory. Gold was determined by fire-assay fusion of 30 g aliquots with both gravimetric and AA finish. Samples were also analyzed for silver, arsenic and antimony by ICP. In 1989, Newmont also sent drilling samples from the Pinion area to be analyzed at Bondar-Clegg in Sparks. Following crushing, a subsample was pulverized to -150 mesh. Gold was determined by fire-assay fusion of 30 g aliquots with and AA finish. Silver, arsenic, antimony, molybdenum, and thallium were analyzed by direct-current plasma emission (“DCP”) and mercury was determined by CVAA. Bondar-Clegg and GSI were independent of Newmont, but MDA is not aware of certifications held by these laboratories at that time.
In 1989, Westmont’s drilling samples from the Pinion area were analyzed at Universal in Elko, Nevada. Gold and silver were analyzed by fire-assay fusion, but MDA has no further information on the methods and procedures used. Westmont’s 1991 and 1992 drill samples from the JR Buttes, Jasperoid Wash, and Black Rock areas were analyzed by Cone in Lakewood, Colorado. Gold was determined by fire-assay fusion of 30 g aliquots with a gravimetric finish. Silver, arsenic, antimony, and mercury were determined by AA. Universal and Cone were independent of Westmont, but MDA is not aware of certifications held by these laboratories at that time.
Crown Resources’ samples from their 1991 drilling at Pinion, Dixie, and Dark Star were in part analyzed for gold at AAL in Sparks using fire-assay fusion of 30 g aliquots. Arsenic and antimony were also analyzed, but MDA has no information on the methods and procedures used. Some of the samples from Crown’s drilling at Dark Star in 1991 were analyzed at Activation Laboratories Ltd (“ActLabs”). Composited pulps from prior assays were analyzed for gold, silver and 34 other elements. MDA is not aware of the location of the ActLabs laboratory or the methods and procedures used for the analyses. Samples from Crown’s drilling at the Dark Star and Pinion areas in 1993 were analyzed for gold at AAL in Sparks using fire-assay fusion of 30 g aliquots. AAL and ActLabs were independent of Crown, but MDA is not aware of certifications held by these laboratories at that time.
In 1995, samples from the Cyprus drilling in the Pinion area were analyzed at Chemex in Sparks. Gold was determined by fire-assay fusion of 30 g aliquots with an AA finish. Some 1.524 m samples and composited pulps of up to 50 ft lengths were analyzed for silver, arsenic, antimony, mercury, and barium by AA following digestion in aqua regia. Chemex was independent of Cyprus, but MDA is not aware of certifications held by Chemex at that time.
RSM’s 1996 drill samples from the Pinion area were analyzed at Chemex in Sparks. Gold was determined by fire- assay fusion of 30 g aliquots with an AA finish. Silver was determined by AA following digestion in aqua regia. In 2014, pulps from some of these 1996 RSM Pinion area samples were re-analyzed by ALS in North Vancouver, British Columbia. At ALS, gold was determined by fire-assay fusion of 30 g aliquots with an AA finish. Separate aliquots of 30 g were analyzed for silver and 34 major, minor and trace elements by ICP following an aqua regia digestion. Portions of remaining drill core from RSM’s 1996 drilling at Pinion were also analyzed at ALS in 2014. These samples were crushed in their entirety to 70% at less than 0.079 in. The crushed samples were riffle-split to obtain 8.0 oz subsamples that were pulverized to 85% at less than 75 microns. Gold was determined by 30 g fire-assay fusion with an AA finish. Separate aliquots of 0.5 g were analyzed for silver and 34 major, minor and trace elements by ICP following an aqua regia digestion. Chemex was independent of RSM, but MDA is not aware of certifications held by Chemex at that time.
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In 1997, Mirandor’s drilling samples from the Pinion and Dark Star areas were analyzed at Intertek Testing Services (“ITS”) in North Vancouver, British Columbia. At that time, ITS was a division of Bondar-Clegg. Gold was determined by fire-assay fusion of 30 g aliquots with an AA finish. Some samples were analyzed for gold by fire-assay fusion of 30 g aliquots with a gravimetric finish. Arsenic, antimony, and barium were determined in some of the samples by AA. Mercury was determined by CVAA. ITS and Bondar-Clegg were independent of Mirandor, but MDA is not aware of certifications held by ITS or Bondar-Clegg at that time.
Cameco’s 1997 drill samples from the Pinion and Dixie areas were analyzed at Chemex and AAL, both in Sparks. At both laboratories, gold was determined by fire-assay fusion of 30 g aliquots. At Chemex these fire assays were finished with AA. Copies of the AAL assay records do not indicate the type of finish. The samples assayed at AAL were also analyzed for silver and 29 major, minor and trace elements by ICP following aqua regia digestion of 0.5 g aliquots. In 1999, Cameco’s drill samples from the Pinion area were analyzed for gold at AAL by fire-assay fusion of 30 g aliquots. Chemex and AAL were independent of Cameco, but MDA is not aware of certifications held by Chemex or AAL at that time.
In 1998 and 1999, the Kinross drill samples from Dark Star and Pinion were analyzed at Chemex in Sparks. Gold was determined by fire-assay fusion of 30 g aliquots with an AA finish. Composited pulps representing 25 ft drill intervals were analyzed for 34 major, minor and trace elements by ICP. Chemex was independent of Kinross, but MDA is not aware of certifications held by Chemex at that time.
RSM’s 2003 drill samples from the Pinion area were analyzed by ALS Chemex in North Vancouver, British Columbia. The samples were prepared in the ALS Chemex laboratory in Elko, Nevada, where they were crushed in their entirety to 70% at less than 0.079 in. The crushed samples were riffle-split to obtain 8 oz subsamples that were pulverized to 85% at less than 75 microns. Gold was determined by 30 g fire-assay fusion with an AA finish. In 2007, RSM’s drill samples from the Pinion area were also analyzed by ALS Chemex. MDA is not aware of how or where these samples were prepared, but silver plus 34 major, minor and trace elements were assayed by ICP following aqua regia digestion of 0.5 g aliquots. Pulps from the 2007 RSM drilling at Pinion were re-analyzed in 2014 at ALS in North Vancouver for gold by 30 g fire-assay fusion with an AA finish.
11.4 | Gold Standard - South Railroad Portion of the Property |
MDA has not reviewed and evaluated the methods and procedures used for the collection and analysis of surface samples by Gold Standard as these samples were not used to prepare the mineral resource estimates and mineral reserve estimates presented in later sections of this Technical Report. While useful for purposes of exploration, the surface soil and rock samples of Gold Standard are not material to the interpretations and conclusions of this Technical Report.
Commencing in 2012, Gold Standard’s RC samples stored by the drill rig were collected at the drill sites by representatives of ALS or Bureau Veritas and transported via truck to their respective laboratories in Elko, Nevada. Excessively wet samples were kept at the drill sites for a few days to drain and dry prior to collection by the laboratory staff.
Core samples were transported daily from the drill sites to Gold Standard’s logging and core cutting facility in Elko by Gold Standard personnel. After logging and marking core-sample intervals by Gold Standard geologists, the core was photographed prior to being sawed lengthwise by contractor technicians. Whole HQ-size core was sawed in half. Whole PQ-size core was sawed in quarters. One half of the HQ core, and three quarters of the PQ core, were returned to the core boxes and the remainder was placed in pre-numbered sample bags that were closed with ties. Following insertion of QA/QC blanks and CRM, the core samples were transported by representatives of ALS or Bureau Veritas to their respective laboratories for preparation and analysis.
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11.4.1 | Pinion Deposit Area Drill Samples |
Samples from Gold Standard’s drilling in 2012, 2014, 2015, 2016, and 2017 were analyzed by ALS. The samples were prepared at the ALS laboratory in Elko, Nevada. The samples were dried and crushed in their entirety to 70% at less than 0.079 in. The crushed samples were riffle-split to obtain 8.0 oz subsamples that were pulverized to 85% at less than 75 microns. The pulps were shipped via air freight by ALS to the ALS laboratory in North Vancouver, British Columbia, for analysis. Gold was determined by 30 g fire-assay fusion with an AA finish (method code Au-AA23). Samples assayed at ≥0.292 oz/ton were re-analyzed with a second 30 g aliquot by fire-assay fusion and gravimetric finish (method code Au-GRA21). Separate aliquots of 0.5 g were analyzed for silver and 34 major, minor and trace elements by ICP following an aqua regia digestion. In some cases, the ICP analyses were conducted on pulps from 5.0 ft drill samples. In other cases, ICP analyses were conducted on composited pulps representing 20 ft drill intervals. Some samples in 2014 were analyzed for silver by fire-assay fusion of 30 g aliquots with a gravimetric finish. In 2014, some samples were also assayed for 48 major, minor and trace elements by ICP-MS after four-acid digestions. During 2017, samples were analyzed for gold by cyanide leach with an AA finish.
In 2018, Pinion area drill samples were analyzed at Bureau Veritas and AAL. At the Bureau Veritas laboratory in Sparks, Nevada, samples were crushed in their entirety and riffle-split to obtain 8.0 oz subsamples. These subsamples were pulverized to 200-mesh size. Gold was determined by 30 g fire-assay fusion with an AA finish. Some samples were analyzed for gold by cyanide leach with an AA finish. The pulps were shipped to the Bureau Veritas laboratory in Vancouver, British Columbia. Carbon, CO2 and sulfur were determined by induction-furnace infrared absorption and thermal conductivity (“LECO”) analyses of 0.1 g aliquots. Gold, silver and 35 major, minor and trace elements were assayed by ICP following aqua regia digestion of 0.5 g aliquots. Additional silver assays were completed in 2019 at Bureau Veritas using drill-sample pulps from previous analyses. Silver was determined by AA following four-acid digestion of 1.0 g aliquots.
At AAL in Sparks, Nevada, composited pulps of 2018 Pinion area drill samples were analyzed for gold by 30 g fire- assay fusion with an AA finish, and in some cases, with a gravimetric finish. Some of the samples were analyzed for gold by cyanide leach and an AA finish. Gold, silver and 49 major, minor and trace elements were determined in some samples by ICP-MS following digestion in aqua regia.
AAL also analyzed selected, previously assayed drill-sample pulps for elemental barium using an energy-dispersive, x-ray fluorescence (“XRF-ED”) procedure. Pressed-powder pellets made from 2.0 g aliquots of sample pulps were used for the XRF-ED analyses, which were performed in 2018 and 2019. Other selected sample pulps were analyzed for barium using XRF-ED with 2.0 g pressed-powder pellets. Some of these were also analyzed for barite using wave- length dispersive x-ray fluorescence (“XRF-WD”) following lithium metaborate fusion of 0.5 g aliquots. Other sample pulps were analyzed for elemental barium by NITON hand-held XRF on both loose-powder aliquots. These were also analyzed by x-ray diffraction (“XRD”) for barite, witherite and calcite, as well as sulfur and carbon by induction-furnace infrared (LECO).
Gold Standard also performed assays of elemental barium together with 39 major, minor and trace elements using hand-held NITON XRF analyzers. These assays were done in 2018 in Elko, Nevada by independent contractor Rangefront Geological using selected drill-sample pulps in loose powder form.
In 2019, the Pinion drilling samples were analyzed at Bureau Veritas. Gold was determined by ICP following an aqua regia digestion and by cyanide leach followed by an AA finish. Silver was analyzed by AA following a 4-acid digestion and by ICP following an aqua regia digestion. Thirty-seven major, minor and trace elements were analyzed by ICP following an aqua regia digestion. Carbon species, sulfur species and CO2 were determined by LECO methods.
The 2020 drilling samples from Pinion were analyzed at Paragon Geochemical (“Paragon”). Paragon is an independent commercial analytical laboratory in Sparks, Nevada with ISO/IEC 17025 certification. Thirty-four major, minor and trace elements were analyzed by ICP following an aqua regia digestion. Some of the samples were analyzed by ICP following a 4-acid digestion. Silver was analyzed by AA and by ICP following a 4-acid digestion. Gold was determined using a 30 g fire-assay fusion with an ICP finish. Gold was also analyzed by cyanide leach of a 30 g aliquot with an AA finish.
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In 2021, Pinion drilling samples were analyzed at AAL, Bureau Veritas and Paragon. The same methods of analysis used at each of these three laboratories in prior years were also used for the 2021 drilling samples. Gold Standard obtained XRF barium assays in-house using NITON and Olympus units, and through AAL and Paragon Laboratories.
11.4.2 | Dark Star Deposit Area Drill Samples |
Gold Standard’s 2015 drilling samples from the Dark Star area were mostly analyzed by Bureau Veritas after preparation in the Bureau Veritas laboratory in Elko, Nevada. The samples were crushed in their entirety and riffle-split to obtain 8.0 oz subsample. These subsamples were pulverized to 200-mesh size. Gold was determined by 30 g fire- assay fusion with an AA finish in Bureau Veritas’ laboratory in Sparks, Nevada. Composited pulps were analyzed in Bureau Veritas’ laboratory in Vancouver, British Columbia, for gold, silver and 35 major, minor and trace elements by ICP-MS following aqua regia digestion of 0.5 g aliquots. Some of the 2015 pulps were re-analyzed by ALS in in North Vancouver, British Columbia, for gold by 30 g fire-assay fusion with an AA finish.
The 2016 and 2017 drilling samples from the Dark Star area were analyzed in part by Bureau Veritas and in part by ALS, with sample preparation in their respective laboratories in Elko, Nevada, using the same procedures that were used for the Pinion area samples as summarized in Section 11.4.1. The ALS assays were carried out in their Reno and North Vancouver laboratories where gold was determined by 30 g fire-assay fusion with an AA finish. Samples with ≥0.292 oz Au/ton were re-analyzed with a second 30 g aliquot by fire-assay fusion and gravimetric finish. Silver and 34 major, minor, and trace elements were assayed by ICP following aqua regia digestion of 0.5 g aliquots.
The Bureau Veritas assays of the 2016 and 2017 Dark Star drilling samples were performed in Bureau Veritas’ laboratories in Sparks, Nevada, and Vancouver, British Columbia. Gold was determined by fire-assay fusion of 30 g aliquots with an AA finish and in some cases with a gravimetric finish. Some samples were analyzed for gold by cyanide leach and an AA finish, and some samples were analyzed for gold with a screen-fire assay procedure. Gold, silver, and 35 major, minor, and trace elements were assayed in the Vancouver laboratory by ICP-MS following aqua regia digestion of 0.5 g aliquots.
The 2018 and 2019 drilling samples from the Dark Star area were prepared in either Bureau Veritas’ Elko or Sparks, Nevada, laboratories and analyzed in their Sparks and Vancouver laboratories. Gold and multi-element assays were carried out with the same methods and procedures used for the 2016-2017 samples. In addition, some samples were analyzed for carbon species, sulfur species and CO2 by LECO methods.
Bureau Veritas was the principal laboratory for the analysis of the 2020 and 2021 Dark Star drilling samples. Silver was analyzed by AA following a 4-acid digestion, as well as by ICP following an aqua regia digestion. Gold was determined using a 30 g fire-assay fusion with an AA finish. Gold was also analyzed using a 30 g cyanide leach with an AA finish. Thirty-seven major, minor and trace elements, including gold and silver, were analyzed by ICP following an aqua regia digestion. Carbon species, sulfur species and CO2 were determined with LECO methods.
ALS analyzed some of the 2020 Dark Star samples for gold using a 30 g fire-assay fusion with an AA finish, as well as a 30 g cyanide leach with an AA finish. Samples that assayed ≥0.292 oz Au/ton were re-analyzed with a second 30 g aliquot by fire-assay fusion and gravimetric finish.
AAL analyzed gold in some of the 2021 Dark Star drilling samples using a 30 g cyanide leach with an AA finish. Samples were also analyzed for gold using a 30 g fire-assay fusion followed by an ICP finish. Samples that assayed ≥0.292 oz Au/ton were re-analyzed with a second 30 g aliquot by fire-assay fusion and gravimetric finish.
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11.4.3 | Jasperoid Wash Area Drill Samples |
The 2017 drilling samples from the Jasperoid Wash area were analyzed in part by Bureau Veritas and in part by ALS following preparation at their respective laboratories in Elko, Nevada. Gold and multi-element analyses were performed at their respective laboratories in Sparks, Nevada, Vancouver and North Vancouver, British Columbia, using the same methods and procedures used for the 2016-2018 Dark Star samples as summarized in Section 11.4.2.
All of the 2018 drill samples from Jasperoid Wash were prepared and analyzed by Bureau Veritas in Sparks, Nevada and Vancouver, British Columbia, using the same methods and procedures used for the 2016-2019 Dark Star samples as summarized in Section 11.4.2.
The 2019 drill samples from Jasperoid Wash were analyzed at Bureau Veritas. Thirty-seven major, minor and trace element, including gold and silver, were analyzed by ICP following an aqua regia digestion. Gold was also analyzed by cyanide leach. Carbon species, sulfur species and CO2 were determined with LECO methods. In 2020, some of the earlier Jasperoid Wash drilling samples were analyzed for silver using AA following a 4-acid digestion.
11.4.4 | Dixie Area Drill Samples |
Gold Standard’s 2017 and 2018 drilling samples from the Dixie area were prepared by Bureau Veritas in Sparks, Nevada and Elko, Nevada. Analyses were conducted in the Bureau Veritas Sparks and Vancouver laboratories. Gold was determined by fire-assay fusion of 30 g aliquots with an AA finish. Some samples were analyzed for gold by cyanide leach and an AA finish. Gold, silver and 35 major, minor and trace elements were assayed in the Vancouver laboratory by ICP-MS following aqua regia digestion of 0.5 g aliquots. Composited pulps from the 2018 drilling were analyzed for carbon species, sulfur species and CO2 by LECO methods in the Vancouver laboratory.
11.4.5 | Ski Track Area Drill Samples |
Most RC samples from Gold Standard’s 2018 drilling at the Ski Track area were prepared by Bureau Veritas in Sparks, Nevada and Elko, Nevada. Analyses were conducted in the Bureau Veritas Sparks and Vancouver laboratories. Gold was determined by fire-assay fusion of 30 g aliquots with an AA finish. Some samples were analyzed for gold by cyanide leach and an AA finish. Gold, silver, and 35 major, minor and trace elements were assayed in the Vancouver laboratory by ICP-MS following aqua regia digestion of 0.5 g aliquots. Composited pulps from the 2018 drilling were analyzed for carbon species, sulfur species, and CO2 by LECO methods in the Vancouver laboratory.
The sample collection, security, transportation, preparation, and analytical procedures are judged by the authors to be acceptable and to have produced data suitable for use in the estimation of the mineral resources reported in Section 14, subject to those exclusions or modifications discussed in Section 14. The authors consider the procedures utilized by Gold Standard and the assay laboratories to be appropriate for use as described.
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SECTION 12 TABLE OF CONTENTS
SECTION | | PAGE |
| | |
12 | DATA VERIFICATION | |
| | | | | |
| 12.1 | Dark Star and Pinion Database Audits | | 12-1 |
| | | | | |
| | 12.1.1 | Audit of Pinion and Dark Star Historical and Gold Standard 2014-2018 Drill-Hole Data | | 12-1 |
| | 12.1.2 | Dark Star GPS Collar Checks | | 12-3 |
| | 12.1.3 | 2019 Audit of Dark Star and Pinion Carbon, CO2 and Sulfur Data | | 12-3 |
| | 12.1.4 | Audit of Pinion 2019-2020 Drill-Hole Data | | 12-4 |
| | | | | |
| 12.2 | Jasperoid Wash Database Audit | | 12-5 |
| | | | | |
| 12.3 | North Bullion Deposits Database Audit | | 12-5 |
| | | | | |
| | 12.3.1 | APEX Data Verification | | 12-5 |
| | 12.3.2 | MDA Data Verification | | 12-5 |
| | 12.3.3 | North Bullion GPS Collar Checks | | 12-6 |
| | | | | |
| 12.4 | Gold Standard QA/QC Procedures | | 12-7 |
| | | | | |
| 12.5 | Dark Star Drill Program QA/QC | | 12-8 |
| | | | | |
| | 12.5.1 | Dark Star Drill Program QA/QC 1991 | | 12-8 |
| | 12.5.2 | Dark Star Drill Program QA/QC 1997 | | 12-9 |
| | 12.5.3 | Dark Star Drill Program QA/QC 2015 | | 12-12 |
| | 12.5.4 | Dark Star Drill Program QA/QC 2016 | | 12-13 |
| | 12.5.5 | Dark Star Drill Program QA/QC 2017 | | 12-16 |
| | 12.5.6 | Dark Star Drill Program QA/QC 2018 | | 12-17 |
| | 12.5.7 | Dark Star Drill Program QA/QC 2019 | | 12-19 |
| | | | | |
| 12.6 | Gold Standard’s Pinion Drill Program QA/QC | | 12-20 |
| | | | | |
| | 12.6.1 | Pinion Drill Program QA/QC CRMs | | 12-21 |
| | 12.6.2 | Pinion Drill Program QA/QC Field Duplicates | | 12-27 |
| | 12.6.3 | External Check Assays for Pinion Drilling | | 12-29 |
| | 12.6.4 | Pinion Drill Program QA/QC Blanks | | 12-30 |
| | 12.6.5 | Twin Holes | | 12-33 |
| | 12.6.6 | Pinion Drill Program QA/QC on Barite | | 12-34 |
| | 12.6.7 | Pinion Drill Program QA/QC - 2019-2020 | | 12-35 |
| | | | | |
| 12.7 | Jasperoid Wash Drill Program QA/QC | | 12-43 |
| | | | | |
| 12.8 | North Bullion Deposits Drill Program QA/QC | | 12-43 |
| | | | | |
| | 12.8.1 | North Bullion Drill Program QA/QC CRMs (Standards) | | 12-44 |
| | 12.8.2 | North Bullion Drill Program QA/QC Field and Laboratory Duplicates | | 12-50 |
| | 12.8.3 | North Bullion Drill Program QA/QC Blanks | | 12-54 |
| | | | | |
| 12.9 | Summary Statement on Data Verification | | 12-55 |
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SECTION 12 LIST OF TABLES
TABLE | | DESCRIPTION | | PAGE |
| | | | |
Table 12-1: | | MDA Verification GPS Checks of Dark Star Drill Collars (NAD27 UTM 11N feet) | | 12-3 |
| | | | |
Table 12-2: | | Dark Star Carbon and Sulfur Records Checked and Analytical Procedures | | 12-3 |
| | | | |
Table 12-3: | | Pinion Carbon and Sulfur Records Checked and Analytical Procedures | | 12-4 |
| | | | |
Table 12-4: | | MDA Verification GPS Checks of North Bullion Drill Collars (NAD27 UTM 11N feet) | | 12-7 |
| | | | |
Table 12-5: | | Summary Counts of Dark Star QA/QC Analyses | | 12-8 |
| | | | |
Table 12-6: | | Summary of Dark Star Results Obtained for Certified Reference Materials, 1997 | | 12-10 |
| | | | |
Table 12-7: | | List of Dark Star Failed Certified Reference Materials, 1997 | | 12-11 |
| | | | |
Table 12-8: | | Summary of Dark Star Results Obtained for Certified Reference Materials, 2015 | | 12-12 |
| | | | |
Table 12-9: | | List of Dark Star Failed Certified Reference Materials, 2015 | | 12-12 |
| | | | |
Table 12-10: | | Summary of Dark Star Results Obtained for Certified Reference Materials, 2016 | | 12-14 |
| | | | |
Table 12-11: | | List of Dark Star Failed Certified Reference Materials, 2016 | | 12-14 |
| | | | |
Table 12-12: | | Summary of Dark Star Results Obtained for Certified Reference Materials, 2017 | | 12-16 |
| | | | |
Table 12-13: | | List of Dark Star Failed Certified Reference Materials, 2017 | | 12-16 |
| | | | |
Table 12-14: | | Summary of Dark Star Results Obtained for Certified Reference Materials, 2018 | | 12-17 |
| | | | |
Table 12-15: | | List of Dark Star Failed Certified Reference Materials, 2018 | | 12-18 |
| | | | |
Table 12-16: | | Summary of Dark Star Results Obtained for Standards, 2019 | | 12-20 |
| | | | |
Table 12-17: | | Summary of Results for CRM Assays, 2014 – 2015 | | 12-21 |
| | | | |
Table 12-18: | | List of Failed CRM Analyses, 2014 – 2015 | | 12-21 |
| | | | |
Table 12-19: | | Explanations for Control Charts | | 12-22 |
| | | | |
Table 12-20: | | Summary of Results Pinion for CRM Assays, 2016 | | 12-24 |
| | | | |
Table 12-21: | | Summary of Results for Pinion CRM Assays, 2017 | | 12-24 |
| | | | |
Table 12-22: | | Summary of Results for Pinion CRMs, 2018 | | 12-24 |
| | | | |
Table 12-23: | | List of Failed Pinion CRM Assays, 2018 | | 12-25 |
| | | | |
Table 12-24: | | Summary of 2019 Analyses of Silver CRMs | | 12-26 |
| | |
Table 12-25: | | List of Failed Silver CRM Assays | | 12-26 |
| | | | |
Table 12-26: | | Summary of Results for Pinion Field Duplicates | | 12-27 |
| | | | |
Table 12-27: | | Summary of Results for Duplicates in Silver Re-Assays | | 12-28 |
| | | | |
Table 12-28: | | Summary of Results for 2018 Re-Assays of 2017 Pinion Samples | | 12-29 |
| | | | |
Table 12-29: | | Comparison of Original Assays and Re-Runs in Part of PIN15-14 | | 12-31 |
| | | | |
Table 12-30: | | Results of Silver Analyses of Pulp Blanks | | 12-33 |
| | | | |
Table 12-31: | | Summary of Pinion Twin Hole Results | | 12-33 |
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Table 12-32: | | Summary of Pinion Results for Certified Reference Materials, Gold, 2019-2020 | | 12-35 |
| | | | |
Table 12-33: | | List of Pinion Failed Certified Reference Material Assays, Gold, 2019-2020 | | 12-35 |
| | | | |
Table 12-34: | | Summary of Pinion Results for Certified Reference Materials, Silver, 2019-20 | | 12-36 |
| | | | |
Table 12-35: | | List of Pinion Failed Certified Reference Material Assays, Silver, 2019-20 | | 12-36 |
| | | | |
Table 12-36: | | Summary of Pinion Results for Certified Reference Materials, AuCN, 2019-2020 | | 12-36 |
| | | | |
Table 12-37: | | List of Pinion Failed Certified Reference Materials, AuCN, 2019-2020 | | 12-37 |
| | | | |
Table 12-38: | | Summary of Results for Pinion Au Field Duplicates (2019-20) | | 12-37 |
| | | | |
Table 12-39: | | Summary of Results for Pinion Ag Field Duplicates (2019-20) | | 12-39 |
| | | | |
Table 12-40: | | Anomalous Blank Sample Assays for Silver CRM MEG-SiBlank.17.10 | | 12-42 |
| | | | |
Table 12-41: | | Summary Counts of Jasperoid Wash QA/QC Analyses | | 12-43 |
| | | | |
Table 12-42: | | Summary of Results Obtained for CRMs | | 12-48 |
| | | | |
Table 12-43: | | List of Failed Analyses of CRMs | | 12-49 |
| | | | |
Table 12-44: | | Summary of Results for Duplicates | | 12-53 |
| | | | |
Table 12-45 | | Summary of Results for Blanks | | 12-54 |
SECTION 12 LIST OF FIGURES
FIGURE | | DESCRIPTION | | PAGE |
| | | | |
Figure 12-1: | | Dark Star Assay Comparison - AAL vs. MBA - 1991 CDS Holes | | 12-9 |
| | | | |
Figure 12-2: | | Dark Star Assay Comparison - AAL vs Actlabs - 1991 CDS Holes | | 12-9 |
| | | | |
Figure 12-3: | | Dark Star Check Assays – ALS Assay vs. Bureau Veritas (Inspectorate), 2015 | | 12-13 |
| | | | |
Figure 12-4: | | Dark Star Check Assays - ALS Assay vs. Bureau Veritas (Inspectorate) 2016 | | 12-15 |
| | | | |
Figure 12-5: | | Scatter Plot of Twin-Hole Analysis – DC18-09 (core) vs DR18-44 (RC) | | 12-19 |
| | | | |
Figure 12-6: | | Control Chart for MEG-Au.11.34 | | 12-22 |
| | | | |
Figure 12-7: | | Control Chart for MEG-S107007X | | 12-23 |
| | | | |
Figure 12-8: | | Control Chart for MEG-Au.11.19 – 2018 | | 12-25 |
| | | | |
Figure 12-9: | | Grade and Date Ranges of 2018 Pinion CRMs | | 12-25 |
| | | | |
Figure 12-10: | | Gold Relative Percent Difference – Pinion Duplicate vs. Original | | 12-28 |
| | | | |
Figure 12-11: | | Gold Relative Percent Difference – ALS vs. Bureau Veritas, 2017 Pulps | | 12-29 |
| | | | |
Figure 12-12: | | Gold in Blanks and Preceding Samples - 2014 | | 12-30 |
| | | | |
Figure 12-13: | | Gold in Blanks and in Preceding Samples - 2015 | | 12-31 |
| | | | |
Figure 12-14: | | Gold in Pulp Blanks and in Preceding Samples - 2017 – 2018 | | 12-32 |
| | | | |
Figure 12-15: | | Gold in Coarse Blanks and in Preceding Samples - 2017 – 2018 | | 12-32 |
| | | | |
Figure 12-16: | | Histogram of 2018 Twin Drill-Hole Samples | | 12-34 |
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Figure 12-17: | | Gold Duplicate vs. Original | | 12-38 |
| | | | |
Figure 12-18: | | Relative Percent Difference for Gold - Duplicate vs. Original | | 12-39 |
| | | | |
Figure 12-19: | | Gold Analyses of Pulp Blank MEG-BLANK.14.03 and Preceding Samples 2019-20 | | 12-40 |
| | | | |
Figure 12-20: | | Gold Analyses of Pulp Blank MEG-SiBlank.17.10 and Preceding Samples 2020 | | 12-40 |
| | | | |
Figure 12-21: | | Gold Analyses of Pulp Blank MEG-SiBlank.17.11 and Preceding Samples 2020 | | 12-41 |
| | | | |
Figure 12-22: | | Silver Analyses of Pulp Blank MEG-SiBlank.17.10 and Preceding Samples 2019-20 | | 12-41 |
| | | | |
Figure 12-23: | | Results of Coarse Blank Analyses of Gold | | 12-42 |
| | | | |
Figure 12-24: | | Counts of CRM Analyses by Mineral Domain | | 12-44 |
| | | | |
Figure 12-25: | | Timeline of CRMs in Use | | 12-45 |
| | | | |
Figure 12-26: | | Gold in MEG-Au.11.19 | | 12-45 |
| | | | |
Figure 12-27 | | Relative Percent Difference - Gold in Preparation Duplicates | | 12-51 |
| | | | |
Figure 12-28 | | Relative Percent Difference - Gold in Preparation Duplicates | | 12-51 |
| | | | |
Figure 12-29: | | Gold in Gold Standard Marble Blanks and in Preceding Samples | | 12-55 |
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Data verification, as defined in NI 43-101, is the process of confirming that data have been generated with proper procedures, have been accurately transcribed from the original sources and are suitable to be used. Additional confirmation of the drill data’s reliability is based on the authors’ evaluations of the Dark Star, Pinion, Jasperoid Wash, and North Bullion area QA/QC procedures and results, as described below, and in general working with the data. No separate evaluations of QA/QC procedures and results were done on data from drilling outside the mineral resource areas.
Prior to MDA’s involvement, as part of the data verification process, APEX visited the Railroad-Pinion property in May 2013, April 2014, and October 2014. Mr. Michael B. Dufresne, P.Geo. conducted several additional site visits from May 31 to June 4, 2015, August 30 to September 2, 2015, and most recently June 7 to 9, 2017. During all site visits, the project geology was reviewed, which included: a) a field tour of the deposit area; b) visual inspection of core holes; and c) discussion with Gold Standard personnel of the current geologic interpretations. Drill site and mineralization verification procedures were conducted, and core drilling and sampling procedures were appraised.
Mr. Dyer and Mr. Ristorcelli visited the Pinion and Dark Star deposit sites on November 18, 2016. This site visit included reviews of core, examination of drill-hole cross sections with the geologic model, and investigations of representative exposures in road cuts and outcrops. Mr. Ristorcelli also visited the Gold Standard office in Elko, Nevada on June 21, 2018. Mr. Lindholm and Mr. Mijal, Senior Geologists with MDA, visited the Dark Star and Jasperoid Wash sites, respectively, on September 18 and 19, 2018. Their work included review of core, checking collar locations, and visiting the site to inspect the geology. On July 14 through July 16, Mr. Lindholm visited the project office in Elko, as well as the North Bullion, Sweet Hollow, POD and Pinion deposit areas. Mr. Lindholm verified drill collar locations at the North Bullion, Sweet Hollow and POD deposits, and observed the drilling and sample handling methods and procedures being used at two core drills and one RC drill that were in operation at Pinion. The site visit also included reviews of drill core, examination of drill-hole cross sections and discussions of the geologic model with Gold Standard personnel.
12.1 | Dark Star and Pinion Database Audits |
12.1.1 | Audit of Pinion and Dark Star Historical and Gold Standard 2014-2018 Drill-Hole Data |
Beginning in March 2018, MDA conducted verification of Gold Standard’s Dark Star and Pinion drilling databases. The databases consisted of Excel spreadsheets, exported by Gold Standard from Micromine’s GeoBank secure database software, with collar, survey, assay, and geologic information. MDA imported the data into a SQL database (GeoSequel) and used the built-in data validation routines to evaluate. Collar, survey, assay, geologic and geotechnical data were imported into GeoSequel directly from the spreadsheets provided by Gold Standard for both Dark Star and Pinion (see Section 12.2 for Jasperoid Wash and Section 12.3 for North Bullion). The following validation tests were conducted:
| ● | Collars: identify collars with missing depths, collars with missing coordinates, switched or duplicated coordinates, drill holes without assay intervals or intervals without assays, drill holes without collar survey information, drill holes without geology, and drill holes with illogical geotechnical information (core holes only); |
| ● | Surveys: identify survey depths greater than total depth, survey points missing azimuth or dip values, surveys where azimuth readings above or below 0° to 360°, surveys with positive or flat dip angles (< ~ -45°), or outside -90° to +90°; and |
| ● | Assays: identify illogical or incorrect ‘from’ and ‘to’ intervals; excessively large or small assay or geologic intervals, assay, geologic or geotechnical intervals that are greater than collar total depth, gaps and overlaps in assay, geologic or geotechnical intervals. |
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Errors found during these tests were iteratively corrected in the database by Gold Standard staff, or by MDA with input from Gold Standard.
The next step was to verify the assay data by comparison to the original assay certificates. Because Gold Standard provided electronic copies of certificates for their own drilling, and electronic copies of historical certificates for the pre- Gold Standard holes were incomplete, MDA split the assay validation into two parts. About 58.9% of Pinion drilling assays were backed by certificates, and 73.5% of the Dark Star assay data could be tracked back to scanned copies of physical certificates.
The digital data were verified against any physical data that Gold Standard possessed. Collar information and collar coordinate data were largely validated in their entirety, while the assay data was validated using a representative subset of the data. Collar data were found to be reasonably accurate.
Down-hole survey data from original sources were available for the Gold Standard core holes and some of the historical drill holes, and were loaded into GeoSequel for comparison. Eight core holes were evaluated for improbable rates of change of azimuth and dip in down-hole surveys; however, none could be shown to be incorrect and were left in the database.
The first portion of the assay verification was comparing the databases to a random sampling of 10% of the certificate- backed assays. For the Pinion database, thirty certificates with 3,120 sample intervals were randomly selected and checked against the database. The database entries largely compared well, with only three significant errors, all of which were in the silver values. For the Dark Star database, MDA randomly selected fourteen certificates with 2,391 sample intervals and compared these to the database. These database entries also compared well, with no significant errors. Insignificant discrepancies for both deposits were found, including below detection assays entered as half the detection limit that were rounded, inconsistent rounding of converted data (i.e., ounces per ton to grams per tonne), and data in original reported units not maintained in the database.
The second portion of the assay verification involved a random selection of 10% of the drill holes for the two deposits and checking the database entries against all available information in the Gold Standard files. For the Pinion property, this involved 35 drill holes with 2,756 sample intervals. For the Dark Star property, 11 holes with 887 sample intervals were compared. No significant assay errors were found.
For both deposits, MDA found omitted assay values for Ag, As, and other geochemical analyses, and numerous inconsistencies with rounding. These were not restored or modified, but various other insignificant errors in the gold data were corrected.
In May of 2019, MDA received a database containing 47,550 silver values for the Pinion project. Using digital certificates supplied by Gold Standard, evaluation of 24,523 silver records (51.6%) produced an error rate of less than 0.01%. Of these, all were due to rounding, were insignificant, and were corrected in the database used for modeling. Of the remaining records, MDA randomly selected a group of certificates, most of which were supplied by Gold Standard as pdf files, to manually audit. Over five percent of the remaining records were audited with an error rate of 1.1%, of which only a small number were significant and corrected. Most of the discrepancies were due rounding or removal of the detection limit negative sign.
Additional data evaluation was accomplished during cross sectional modeling. Suspect data included samples with no gold detected within mineralized intervals, assay values where no sample was indicated, and potential down-hole contamination. Most of these sample assays were considered to be unreliable, and therefore were removed from use in estimation. MDA also found significant discrepancies between some TCX-series holes (drilled by Amoco) and more recent surrounding drill holes. As a result, all TCX holes were not used in domain modeling or estimation.
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All the above issues were discussed with Gold Standard, who applied corrections in their respective databases. MDA noted that subsequent databases received from Gold Standard contained the modifications as discussed, and that a few additional minor corrections were made.
For non-analytical field data, Gold Standard has instituted protocols to ensure data integrity. For example, during surface geochemical sampling (rock grab and soil sampling), samplers are required to enter sample locations and descriptive information into computers daily and locations are checked to eliminate data input errors. For non-analytical drill hole information, Gold Standard employs a similar protocol of continuous data checking to ensure accurate recording into the project drilling database, which includes all geological and geotechnical information from both core and RC chip logging. The procedures employed are considered reasonable and adequate with respect to insuring data integrity.
12.1.2 | Dark Star GPS Collar Checks |
During the Dark Star site visit in September 2018, Gold Standard, with MDA present, took GPS measurements of seven drill collars on six drill pads in the field to spot-check coordinates in Gold Standard’s collar tables (see Table 12-1). A Garmin - Rino 530 non-differential GPS was used to measure coordinates at the drill collars. The Garmin website indicates the unit is accurate to within 3 m to 5 m (9.8 ft to 16.4 ft). Only one easting exceeded the maximum range of accuracy of the GPS, and that was by less than three feet; all other readings were within acceptable limits.
Table 12-1: MDA Verification GPS Checks of Dark Star Drill Collars (NAD27 UTM 11N feet)
| MDA GPS Location | Surveyed Location | Difference (GPS - Survey) |
Drill Hole | East | North | Elev. | East | North | Elev. | East | North | Elev. |
DR18-71 | 1,929,133.3 | 14,699,179.9 | 6,781.5 | 1,929,131.0 | 14,699,170.4 | 6,783.8 | 2.3 | 9.5 | -2.3 |
DS17-37 | 1,929,336.7 | 14,698,474.5 | 6,722.4 | 1,929,342.9 | 14,698,482.4 | 6,720.5 | -6.2 | -7.9 | 2.0 |
DR18-68 | 1,929,179.2 | 14,697,628.1 | 6,610.9 | 1,929,178.9 | 14,697,621.5 | 6,602.3 | 0.3 | 6.6 | 8.5 |
DC18-15 | 1,928,867.5 | 14,696,840.7 | 6,797.9 | 1,928,872.1 | 14,696,838.4 | 6,801.8 | -4.6 | 2.3 | -3.9 |
DR18-58 | 1,928,418.1 | 14,696,414.2 | 6,817.6 | 1,928,437.1 | 14,696,403.0 | 6,815.3 | -19.0 | 11.2 | 2.3 |
DR18-95 | 1,928,687.1 | 14,696,036.9 | 6,916.0 | 1,928,689.7 | 14,696,034.9 | 6,925.2 | -2.6 | 2.0 | -9.2 |
DR18-96 | 1,928,674.0 | 14,695,931.9 | 6,922.6 | 1,928,675.3 | 14,695,928.6 | 6,927.8 | -1.3 | 3.3 | -5.2 |
12.1.3 | 2019 Audit of Dark Star and Pinion Carbon, CO2 and Sulfur Data |
Gold Standard provided MDA with assay tables containing 7,081 records of analyses and calculated values for carbon and sulfur species from Dark Star in the chemical forms listed in Table 12-2. Most of the analyses were performed by Bureau Veritas in Vancouver, British Columbia. A smaller number were analyzed by AAL in Sparks, Nevada.
Table 12-2: Dark Star Carbon and Sulfur Records Checked and Analytical Procedures
Laboratory | No. of Records | C Total % Method | CO2 % Method | C InOrganic % Method | C Organic % Method | S Total % Method | S Sulfide % Method |
Bureau Veritas | 7,062 | TC003 | TC006 | calculated | calculated | TC003 | TC009 |
AAL | 19 | ELTRA C | n/a | calculated | ELTRA C | ELTRA C | n/a |
Note: n/a indicates “not applicable” as in not analyzed and not calculated; TC003 and TC006 are Bureau Veritas method codes for LECO analyses. ELTRA C is AAL method code for LECO-type analyses. On the Bureau Veritas certificates, the TC00x codes on the data listings and cover pages are not the same. The codes listed in the table above are from the cover pages.
The assay tables for Pinion contained 4,050 records of analyses and calculated values for carbon and sulfur species as summarized in Table 12-3. Most of the analyses were performed by Bureau Veritas in Vancouver, British Columbia. A smaller number were analyzed by AAL if Sparks, Nevada.
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Table 12-3: Pinion Carbon and Sulfur Records Checked and Analytical Procedures
Laboratory | No. of Records | C Total % method | CO2 % method | C InOrganic % method | C Organic % method | S Total % method | S Sulfide % method |
Bureau Veritas | 3,941 | TC003 | TC006 | calculated | calculated | TC003 | TC009 |
AAL | 93 | ELTRA C | n/a | calculated | ELTRA C | ELTRA C | ELTRA C |
AAL | 16 | ELTRA C | n/a | calculated | ELTRA C | ELTRA C | ELTRA C |
Note: n/a indicates “not applicable” as in not analyzed and not calculated; TC003, TC006 and TC009 are Bureau Veritas method codes for LECO analyses. ELTRA C is AAL method code for LECO-type analyses. On the Bureau Veritas certificates, the TC00x codes on the data listings and cover pages are not the same. The codes listed in the table above are from the cover pages.
MDA compared the measured values in the assay tables from Gold Standard to copies of the laboratory certificates.
Gold Standard’s calculated values were checked using equations as follows:
| ● | When C Inorganic was not directly assayed |
| o | C Inorganic = CO2 Percent / 3.666 or |
| o | C Inorganic = C Total – C Organic |
| ● | C Organic = C Total – C Inorganic |
MDA determined that all measured values from the assay tables matched those in the laboratory certificates, and all the calculations were performed correctly. The only errors found were 36 assay intervals from Dark Star hole DS18-07 for which the starting and/or ending depths had been entered incorrectly. MDA corrected these in consultation with Gold Standard.
12.1.14 | Audit of Pinion 2019-2020 Drill-Hole Data |
An audit of all 2019-2020 Pinion drilling data was completed by MDA staff in April of 2021. Since all data was available digitally in original certificate form, the audit process for the newer Gold Standard data was identical to the March 2018 Pinion audit. Gold Standard supplied collar coordinate survey data in the original APEX Survey files, and down hole survey data was supplied as both the original IDS Survey .csv and .pdf files. Only two assay labs were used in the 2019-20 drill programs, Bureau Veritas and Paragon Geochemical. All Bureau Veritas certificates were downloaded directly from the laboratory website, and all Paragon Geochemical certificates were supplied in both .pdf and .csv file formats by Gold Standard personnel.
Data from Gold Standard prior to 2019 was compared to MDA’s previously audited database as an extra check to confirm that no changes had been made since the audit. Except for five historical holes included in the Gold Standard Pinion database that were previously in the Dark Star database (EMRR_9701 to EMRR_9704, and hole K99C_1), the holes in the Pinion database were the same. There were 76 holes with differences in collar coordinates in either the northing and/or easting, of which 16 also had discrepancies in elevation. Fourteen of these differences were minor (within 0.1 feet), however, the remainder were considerable, and were ultimately resolved in conjunction with Gold Standard. The PFS down-hole surveys in the database received from Gold Standard matched those in MDA’s database. Similarly, the PFS assay data sent by Gold Standard is unchanged, although there are discrepancies in rounding that resulted from conversion from metric to Imperial units, as described below.
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Depending on the operator and drill campaign, assay data was analyzed in g Au/t or oz Au/ton. Commonly, measured values in Gold Standard’s Pinion and Dark Star databases had been converted to one unit, and converted back to the original unit. Discrepancies due to inconsistently applied conversion factors and rounding were consequently created in the database. MDA evaluated assay procedures in order to determine the original analytical units for respective data sets, and assays in the database were changed where required to honor the most original data. In summary, Gold Standard holes were initially assayed in g Au/t and were restored and converted to oz Au/ton (oz Au/ton = g Au/ton / 34.285714). Historical samples were originally assayed in oz Au/ton and were restored. Consistent conversion factors were applied when needed.
All new digital data was imported into a SQL database (GeoSequel) and compared to the database from Gold Standard through a series of comparison queries. New collar surveys from certificates matched exactly the coordinates in the Gold Standard collar file. The azimuths and dips of 19 of the new holes were switched, and the planned orientation data was used at the top of eight holes, producing radical deviations with down-hole survey measurements. Slight discrepancies were noted in nine down-hole survey records. All errors and discrepancies in collar and survey data were modified in agreement with Gold Standard. There were 38 errors noted in the gold data that apparently occurred during conversion from to oz Au/ton from g Au/t, which were corrected. Similarly, conversion errors were found in the silver assays and corrected. After all validations were completed, and necessary corrections applied, 105 new drill holes from the 2019-20 campaign were added to the MDA database.
12.2 | Jasperoid Wash Database Audit |
The drilling database for Jasperoid Wash contains 10,147 assay intervals in 97 drill holes. Documentation was available for the for the 40 holes drilled by Gold Standard, although 14 of the holes did not have assay data. MDA compared the database against digital certificates supplied by Gold Standard, and found no significant issues or discrepancies.
Since no original assay certificates were available, data for the 43 historical holes was verified using secondary sources, which primarily consisted of written reports, database printouts and previous database compilations. MDA compared the older drill data in the database received from Gold Standard to two Westmont annual, a Cameco assay compilation, and an assay compilation in a digital text file (PHOLASAY.txt) of unknown origin which contained the JW- 8910, JW-8911, and JW-9001 to JW-9014. Only one minor typographical error, as well as insignificant issues due to rounding, were found and corrected. The verification demonstrated the database properly reflects the secondary data sources; however, the historical drill-hole data cannot be fully verified without comparison to original certificates.
The drill-hole survey data for the 2017 and 2018 Gold Standard holes were verified against original down-hole survey instrument files obtained from Gold Standard. No discrepancies were found between the compiled data set and the source survey data.
12.3 | North Bullion Deposits Database Audit |
12.3.1 | APEX Data Verification |
APEX produced the initial resource estimates for the North Bullion deposits, and performed extensive verification of Gold Standard’s pre-2017 North Bullion-Bald Mountain database (Dufresne, 2017b). Historical drill-hole collar locations were verified on site during site visits, during site visits. APEX also verified down-hole survey data for Gold Standard’s 128 holes completed between 2010 and 2017, but noted that no supporting documentation was available for historical drilling. Similarly, original lab certificates were available and used to verify assay data for 135 Gold Standard holes and 140 historical drill holes. The drill-hole database that presumably resulted from APEX’s verification efforts, in addition to data for holes drilled since 2017, was provided by Gold Standard, and was verified by MDA in its entirety.
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12.3.2 | MDA Data Verification |
MDA conducted verification of Gold Standard’s North Bullion drilling database starting in June of 2020. The database received from Gold Standard consisted of Excel spreadsheets exported from Micomine’s GeoBank secure database software, and contained collar, survey, assay and geologic information. Collar, survey, assays, geologic logging and geotechnical data were imported into a SQL database (GeoSequel) directly from the spreadsheets. Logic tests were conducted on the data as described for Pinion and Dark Star in Section 12.1.1. Errors found during these tests were iteratively corrected by MDA with in conjunction with Gold Standard.
The digital database was verified against any physical documentation that Gold Standard possessed. Collar coordinate data were largely validated in their entirety found to be accurate. Down-hole survey data from original sources were available for all Gold Standard core holes and 42 holes drilled by Kinross. In all, down-hole surveys for 176 holes were evaluated for abrupt and radical changes in azimuth and dip, during which only one survey record was determined to be improbable and was modified by MDA and Gold Standard.
Based on availability of original lab certificates, the assay data was verified in two groups. Since certificates were accessible for all Gold Standard drilling from 2010 to present, which represents 28% of drill holes and 57% of assay intervals, a full audit of the assay database was possible. Original certificates were downloaded directly from the analytical laboratories, and the comparison to Gold Standard’s database revealed no errors or discrepancies.
Since about 43% of the assay intervals were obtained from historical drilling sources and were not generally available in digital form, a 20% randomized manual audit of these data was performed. Of the 368 historical drill holes with 33692 assay intervals, 6738 intervals in 78 holes were randomly selected for verification. Values in the database were checked against the paper copies of certificates for both gold and silver. The resulting error rate was well under 1%, and the minor issues detected were corrected by MDA and Gold Standard. The issues found included transcriptional errors, and some missing data that was added into the database. Analytical procedures and their respective detection limits by operator and drill campaigns were evaluated in order to validate and properly apply values below detection limits. In general, positive values of half detection limit for the gold and silver were assigned.
Collar coordinates for historical drill holes were checked in a general sense against topography and identifiable drill sites on images. Paper copies of down-hole survey data were manually compared with the database. Only minor discrepancies in collar and down-hole survey data were found, and were corrected in conjunction with Gold Standard. Geologic logging was verified during the modeling process on section. Conflicts were noted, particularly due to inconsistent logging of formations, but were interpreted with the help of Gold Standard staff to produce a reasonably consistent geologic model.
Depending on the operator and drill campaign, assay data was analyzed in g Au/t or oz Au/ton. Commonly, measured values in Gold Standard’s North Bullion database had been converted to one unit, and converted back to the original unit. Discrepancies due to inconsistently applied conversion factors and rounding were consequently created in the database. MDA evaluated assay procedures in order to determine the original analytical units for respective data sets, and assays in the database were changed where required to honor the most original data. In summary, Gold Standard holes were initially assayed in g Au/t and were restored and converted to oz Au/ton (oz Au/ton = g Au/ton / 34.285714). Historical samples were originally assayed in oz Au/ton and were restored. Consistent conversion factors were applied when needed.
12.3.3 | North Bullion GPS Collar Checks |
During the North Bullion site visit in July 2020, Gold Standard, with MDA present, took GPS measurements on five drill-hole collars (first five rows in Table 12-4) and five drill pads with indirect evidence of drill holes in the field to spot- check coordinates in Gold Standard’s collar tables. A Garmin - Rino 530 non-differential GPS was used to measure coordinates at the drill collars. The Garmin website indicates the unit is accurate to within 3 m to 5 m (9.8 ft to 16.4 ft). Seven northings and/or eastings exceeded the maximum range of accuracy of the GPS. However, the actual drill-hole location was not apparent on the pads for all but two of the northings, and these exceeded the maximum accuracy by six feet or less. All other readings were within acceptable limits.
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Table 12-4: MDA Verification GPS Checks of North Bullion Drill Collars (NAD27 UTM 11N feet)
| | MDA GPS Location | Gold Standard Collar Location | Difference (GPS vs Survey) |
Area | Indicated or Nearest Drill Hole | Easting | Northing | Elev. | Easting | Northing | Elev. | Easting | Northing | Elev. |
North Bullion | RR13-15 | 1,918,539.5 | 14,726,971.9 | 6,584.6 | 1,918,552.6 | 14,726,985.0 | 6,570.0 | 13.1 | 13.1 | -14.6 |
North Bullion | RR17-03 | 1,919,038.2 | 14,727,513.2 | 6,519.0 | 1,919,053.8 | 14,727,495.2 | 6,462.4 | 15.6 | -18.0 | -56.6 |
North Bullion | RR13-02 | 1,919,490.9 | 14,726,693.0 | 6,538.7 | 1,919,494.2 | 14,726,715.0 | 6,531.1 | 3.3 | 22.0 | -7.6 |
North Bullion | RR13-04 | 1,919,490.6 | 14,726,681.2 | 6,533.9 | -0.3 | -11.8 | -4.8 |
Sweet Hollow | RRB17-01 | 1,917,479.8 | 14,721,479.7 | 6,879.9 | 1,917,493.8 | 14,721,467.3 | 6,871.8 | 14.0 | -12.4 | -8.1 |
Sweet Hollow | RR12-21 | 1,917,988.3 | 14,722,690.4 | 6,870.1 | 1,918,033.4 | 14,722,633.2 | 6,880.8 | 45.1 | -57.2 | 10.7 |
Sweet Hollow | RR10-01 | 1,917,588.0 | 14,721,939.1 | 6,991.5 | 1,917,568.3 | 14,721,991.6 | 6,996.0 | -19.7 | 52.5 | 4.6 |
POD | NR-030 | 1,916,347.9 | 14,722,509.9 | 7,244.1 | 1,916,336.4 | 14,722,525.1 | 7,233.0 | -11.5 | 15.2 | -11.1 |
POD | BDH-14 | 1,916,866.2 | 14,722,290.1 | 7,076.8 | 1,916,854.2 | 14,722,281.5 | 7,087.0 | -12.0 | -8.6 | 10.2 |
POD | NR-032 | 1,916,964.7 | 14,722,342.6 | 7,086.6 | 1,916,924.4 | 14,722,329.6 | 7,086.0 | -40.2 | -13.0 | -0.6 |
12.4 | Gold Standard QA/QC Procedures |
No QA/QC data was available or evaluated for historical drilling programs in the South Railroad portion of the property. The analytical portion of the QA/QC program employed by Gold Standard aimed to provide a means by which the accuracy and precision of the assaying that was performed on the drilling samples (core and RC chip) can be assessed to ensure the highest possible data quality. In order to achieve this goal, Gold Standard personnel inserted samples of certified reference materials (“CRM”, also known as standards), which are commercially available pulverized materials certified to contain a known concentration of an element (or elements) - in this case gold. The Gold Standard protocol was to use several CRMs of varying gold concentration during a drilling campaign and randomly insert one CRM sample pulp into the stream of actual drill samples at a rate of approximately one in 10. These were alternately inserted with a blank material with gold below detectable limits. The analytical QA/QC measures employed by Gold Standard are sufficient to properly monitor analytical accuracy and precision, and possible in-lab contamination.
CRMs used in mineral exploration are usually powders comprised of rock-forming minerals, including the metal of interest in known concentrations. They are analyzed along with batches of samples, and the resulting analyses are evaluated using criteria for passing or failing. CRMs are usually obtained from commercial suppliers. The suppliers provide specifications including the average of many analyses by multiple labs, and the standard deviation of the analyses. In the years 2014 through 2020 Gold Standard has used CRMs obtained from Minerals Exploration & Environmental Geochemistry, Inc. (“MEG”) of Reno, Nevada.
A typical criterion for accepting the analyses of CRMs in the mineral industry is that they should fall within a range determined by the average or expected value ± three standard deviations. Gold Standard uses a stricter criterion, the expected value ± two standard deviations. In the evaluation described here, MDA has used the expected value ± three standard deviations.
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Blanks are samples known or thought to contain little or no gold. They are inserted into the sample stream and the results are monitored to be sure that the lab does not report significant gold values when little or no gold should be present (i.e., contamination). Coarse blanks generally test for contamination during sample preparation, where it predominantly occurs, whereas pulp blanks test for contamination during the analytical phase, which is much less common. The type of blank material is generally not known for historical data.
12.5 | Dark Star Drill Program QA/QC |
MDA has QA/QC data for the years 1997 and 2015 through 2019, and a very small amount of data for 1991. The types of QA/QC data vary from year to year, but in general there is a substantial suite of QA/QC data available to support the assays used in the Dark Star mineral resource estimate. Table 12-5 summarizes the quantities of each type of data by year.
Table 12-5: Summary Counts of Dark Star QA/QC Analyses
QA/QC Type | 1991 | 1997 | 2015 | 2016 | 2017 | 2018 | 2019 |
Standard | | | | | | | |
Number in Use | | 14 | 6 | 5* | 5 | 5 | 3 |
Number of Analyses | | 285 | 150 | 708* | 310 | 594 | 201 |
Number of Failures | | 2 | 1 | 2 | 3 | 3 | 0 |
| | | | | | | |
Field Duplicate | | 56** | | | 322 | 714 | 301 |
Coarse (Preparation) Duplicate | | 105 | 58 | 185 | | | |
Pulp Duplicate or Replicate | | 248 | 59 | 198 | | | |
External Check | 133 | | 443 | 1,376 | 175 | | |
| | | | | | | |
Pulp Blank | | 300 | 148 | 1107 | 170 | 364 | 153 |
Coarse Blank | | | | 205 | 111 | 158 | 10 |
| Notes: | * A single analysis of a sixth standard is not included in the counts for 2016. |
| | ** A description of the 1997 duplicates is not available to MDA, so it is only an assumption that they are field duplicates. |
The QA/QC data summarized in Table 12-5 are comprised of some QA/QC samples that were part of the project operators’ QA/QC programs, and some that were part of the internal QA/QC protocols of the laboratories that were used.
The QA/QC data available to MDA, including “historical” data inherited from the former project operators of 1997, are adequate to support the use of the Dark Star assay database in a mineral resource estimate. Current QA/QC protocols are adequate to support on-going exploration. MDA has not seen any coarse duplicate data for 2017, 2018, and 2019. Data for coarse duplicates may be available from the laboratories for those years, and if so, MDA suggests that they be acquired and compiled by Gold Standard. Coarse duplicates would be a useful addition to future QA/QC protocols.
During the 2018 and 2019 drilling, Gold Standard has submitted only pulp blanks with samples from RC drilling and only coarse marble blanks with samples of drill core. It would be ideal to submit both types of blanks with both types of samples. If only one type of blank is used, coarse blanks are the best choice.
The following sections contain brief summaries of the QA/QC results by year(s).
12.5.1 | Dark Star Drill Program QA/QC 1991 |
Very little QA/QC data are available for any holes drilled prior to 1997. However, for 1991 there is a comparison between assays of composited intervals by AAL, which was apparently the original laboratory used, MBA Lab and Actlabs, each using a different analytical method. The composites were made from material drawn from 10 of the 63 holes known to have been drilled that year. AAL and MBA used variations of the atomic absorption analytical method, and their results compare well. Actlabs used the instrumental neutron activation method, a very different analytical method, and obtained results biased significantly high relative to the other two labs (Figure 12-1 and Figure 12-2). Thus, for a small subset of the 1991 drill holes there is some validation of the assay results, based on the AAL vs. MBA comparison. The analyses in the assay table used for estimation are those of AAL.
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Figure 12-1: Dark Star Assay Comparison - AAL vs. MBA - 1991 CDS Holes
Figure 12-2: Dark Star Assay Comparison - AAL vs Actlabs - 1991 CDS Holes
12.5.2 | Dark Star Drill Program QA/QC 1997 |
In total, 300 CRMs were analyzed with drill samples in 1997, although much of the data came from the laboratory’s internal QA/QC. Only two failures were noted, and they are not from holes that are included in the Dark Star mineral resource estimate. Results for CRM analyses are summarized in Table 12-6, and the two failed analyses are detailed in Table 12-7.
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Table 12-6: Summary of Dark Star Results Obtained for Certified Reference Materials, 1997
Standard ID | Grades in oz Au/ton | Count | Dates Used | Failure Counts | Bias pct | Comment |
Target | Average | Maximum | Minimum | First | Last | High | Low |
C1 | n/a | 0.0563 | 0.0611 | 0.0486 | 18 | 29-Aug-97 | 13-Nov-97 | 0 | 0 | n/a | target value not known |
C2 | n/a | 0.0449 | 0.0534 | 0.0344 | 29 | 29-Aug-97 | 13-Nov-97 | 0 | 0 | n/a | target value not known |
C3 | n/a | 0.0223 | 0.0265 | 0.0193 | 13 | 29-Aug-97 | 07-Nov-97 | 0 | 0 | n/a | target value not known; too few samples to chart |
C4 | n/a | 0.0209 | 0.0224 | 0.0193 | 2 | 16-Sep-97 | 14-Nov-97 | 0 | 0 | n/a | target value not known |
Gannet_192 | 0.0056 | 0.0055 | 0.0076 | 0.0048 | 49 | 29-Aug-97 | 13-Nov-97 | 1 | 0 | -2.08 | target value known, spec. limits not known |
Gannet_394 | 0.0115 | 0.0114 | 0.0127 | 0.0104 | 31 | 29-Aug-97 | 07-Nov-97 | 0 | 0 | -1.27 | target value known, spec. limits not known |
Gannet_415 | 0.0121 | 0.0133 | 0.0138 | 0.0127 | 3 | 14-Nov-97 | 13-Nov-97 | 0 | 0 | 9.88 | target value known, spec. limits not known; too few samples to chart |
Gannet_1585 | 0.0462 | 0.0454 | 0.0498 | 0.0398 | 48 | 29-Aug-97 | 13-Nov-97 | 0 | 0 | -1.70 | target value known, spec. limits not known |
Gannet_1050 | 0.0306 | 0.0303 | 0.0346 | 0.0275 | 48 | 29-Aug-97 | 13-Nov-97 | 1 | 0 | -1.14 | target value known, spec. limits not known |
Gannet_2450 | 0.0715 | 0.0701 | 0.0756 | 0.0660 | 45 | 29-Aug-97 | 13-Nov-97 | 0 | 0 | -1.24 | target value known, spec. limits not known |
Gannet_9900 | 0.2887 | 0.2812 | 0.3001 | 0.2642 | 8 | 3-Oct-97 | 14-Nov-97 | 0 | 0 | -1.84 | target value known, spec. limits not known |
Gannet_13800 | 0.4025 | 0.4099 | 0.4197 | 0.4002 | 2 | 26-Oct-97 | 9-Nov-97 | 0 | 0 | 1.85 | target value known, spec. limits not known; too few samples to chart |
BCC_Gold_STD_90- 1 | 0.1843 | 0.1952 | 0.2135 | 0.1654 | 3 | 25-Sep-97 | 21-Oct-97 | 0 | 0 | 5.9 | target value known, spec. limits not known; too few samples to chart |
FA_Synthetic | n/a | 0.0429 | 0.0429 | 0.0429 | 1 | 10-Oct-97 | 10-Oct-97 | 0 | 0 | n/a | target value not known; too few samples to chart |
|
Count or Sum | 14 | | | | 300 | | | 2 | 0 | | |
Percent | | | | | 100 | | | 0.7 | 0 | | |
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Table 12-7: List of Dark Star Failed Certified Reference Materials, 1997
| | Values in oz Au/ton | |
Standard ID | Drill Hole ID | Target for Std | Fail Type High/Low | Fail Limit | Failed Value | Comment |
Gannet_192 | EMRR-9714 | 0.0056 | High | 0.0076 | 0.0076 | This drill hole is not in MDA’s data set. |
Gannet_1050 | EMRR-9713 | 0.0306 | High | 0.0338 | 0.0346 | This drill hole is not in MDA’s data set. |
Available records do not include specifications for the CRMs used by Mirandor. The expected values for the ten CRMs used by Intertek are known, but the expected standard deviations are not. MDA used standard deviations derived from the gold assays set to evaluate the data.
The 1997 assay certificates available to MDA include results for 56 samples with a suffix “D.” It is assumed that these are field duplicates, but specific information is lacking. Based on relative differences, at grades below about 0.001 oz Au/ton, the “D” duplicates are on average biased 26% high relative to the presumed original samples. At higher grades, the high bias of the duplicates averages only about 3.8%, within the range of biases that MDA typically finds in such data sets.
12.5.2.3 | Preparation Duplicates |
The 1997 assay certificates contain results for 105 samples described as “Prep Duplicate”. MDA interprets that these samples are preparation or coarse crush duplicates. MDA’s evaluation of these samples revealed no significant issues.
The 1997 assay certificates contain results for 58 pulp duplicates analyzed using a gravimetric finish and 190 pulp duplicates analyzed using an atomic absorption finish. MDA’s evaluation of these assays showed the results to be acceptable.
12.5.2.5 | Comment on Grade Ranges |
Two subsets of gold grade ranges were recognized and evaluated for each of the “D” duplicates, preparation duplicates and pulp duplicates that were analyzed using an AA finish in 1997. The subsets were selected based on visual inspection of relative difference graphs. Notably, the division between lower- and higher-grade subsets are in the range 0.0010 to 0.0012 oz Au/ton. It appears that the relative precision of the analytical method was substantially better at grades higher than approximately 0.0012 oz Au/ton than at lower grades. This result is generally expected, and any likely mining cutoff would be at higher grades where the analyses are more precise.
12.5.2.6 | Mirandor “B” Blanks |
In 1997, Mirandor inserted blanks into the sample stream at intervals of approximately 250 ft, for 62 insertions. MDA does not know the nature of this blank material. The results indicate there are no issues with respect to contamination, although the type of blank material is not known.
12.5.2.7 | Intertek Analytical Blanks |
The Intertek assay certificates from 1997 contain results for 238 analyses of material that Intertek labelled “Analytical Blank.” MDA reviewed these assays and found no high values that would indicate contamination.
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
12.5.3 | Dark Star Drill Program QA/QC 2015 |
Gold Standard used Bureau Veritas as its primary laboratory in 2015. In total, 150 CRMs were analyzed with drill samples sent to Bureau Veritas, with only one failure recorded. The single failure is not material to the mineral resource estimate. Results for CRM analyses are summarized in Table 12-8, and the failed analysis is detailed in Table 12-9.
Table 12-8: Summary of Dark Star Results Obtained for Certified Reference Materials, 2015
Standard ID | Grades in oz Au/ton | Count | Dates Used | Failure Counts | Bias pct |
Target | Average | Maximum | Minimum | First | Last | High | Low |
MEG-Au.10.02 | 0.0010 | 0.0010 | 0.0016 | 0.0007 | 31 | Jun-15 | Nov-15 | 1 | 0 | -2.86 |
MEG-Au.10.04 | 0.0023 | 0.0023 | 0.0028 | 0.0018 | 24 | Jun-15 | Nov-15 | 0 | 0 | 0 |
MEG-Au.11.29 | 0.1076 | 0.1080 | 0.1215 | 0.1014 | 16 | Jun-15 | Nov-15 | 0 | 0 | 0.35 |
MEG-Au.13.02 | 0.0218 | 0.0220 | 0.0237 | 0.0203 | 31 | Jun-15 | Nov-15 | 0 | 0 | 0.94 |
MEG-S107007X | 0.0445 | 0.0455 | 0.0486 | 0.0430 | 27 | Jun-15 | Nov-15 | 0 | 0 | 2.23 |
MEG-Au.11.17 | 0.0785 | 0.0794 | 0.0885 | 0.0732 | 21 | Jun-15 | Oct-15 | 0 | 0 | 1.11 |
|
Count or Sum | 6 | | | | 150 | | | 1 | 0 | |
Percent | | | | | 100 | | | 0.67 | 0 | |
Table 12-9: List of Dark Star Failed Certified Reference Materials, 2015
| | Values in oz Au/ton | |
Standard ID | Drill Hole ID | Target for Std | Fail Type High/Low | Fail Limit | Failed Value | Comment |
MEG-Au.10.02 | EMRR-9714 | 0.0010 | High | 0.0014 | 0.0016 | |
In 2017, “A comprehensive assay check (umpire) program was completed by ALS on original sample pulps from the Gold Standard’s 2015 and 2016 drilling at the Dark Star deposit which had reported values at or above the 0.0041 oz Au/ton cut-off grad”. Gold Standard elected to use the assays from ALS for the 2015 and 2016 samples. Consequently, most of the assays in MDA’s database for the 2015 drill holes are the original Bureau Veritas assays, however, the majority of the assays at or above 0.0041 oz Au/ton are those from ALS. There are 376 such assays, out of a total of 3,426 from the 2015 drill holes. MDA’s review of standards for 2015 applies only to the Bureau Veritas assays. MDA has no QA/QC data for the 2015 assays from ALS, so there is no QA/QC data applying to most of the mineral resource- grade samples from 2015.
12.5.3.2 | Bureau Veritas (Inspectorate) Duplicates |
One of two Excel files provided to MDA with QA/QC data for 2015 contains a compilation of analytical results for Bureau Veritas’ internal-preparation and pulp duplicates, which are from holes DS15-06 through DS15-12. There is no other duplicate data available for other holes drilled in 2015. MDA evaluated the results for these duplicates and found the inherent variability in the assays to be within expected limits. However, there was a negative bias in pulp duplicates with respect to the original analyses. The average difference of pulp duplicates at grades exceeding 0.0012 oz Au/ton relative to the originals is lower by 5.5%.
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
12.5.3.3 | ALS vs. Bureau Veritas Checks |
In 2017, Gold Standard obtained re-analyses of pulps from the 2015 samples at ALS, for comparison with the original Bureau Veritas assays. MDA evaluated these as check assays, as shown in Figure 12-3. In all, there are 443 sample pairs. ALS’ analyses are biased higher on average by about 4.7% relative to Bureau Veritas.
Figure 12-3: Dark Star Check Assays – ALS Assay vs. Bureau Veritas (Inspectorate), 2015
In 2015, Gold Standard used pulp blanks obtained from a vendor of standard reference materials. No issues with respect to contamination were indicated by the 148 analyses of the blank material.
12.5.3.5 | Assay Substitution |
The QA/QC data available for 2015 support the original assays for that year performed by Bureau Veritas, although there were no QA/QC data associated with the ALS assays. The ALS assays compare reasonably well to the Bureau Veritas check assays, albeit with a high bias of 4%. Check assays by ALS were substituted for some of the original Bureau Veritas assays.
12.5.4 | Dark Star Drill Program QA/QC 2016 |
In total, 709 CRMs were analyzed with drill samples in 2016. Two failures occurred, but are not material with respect to the mineral resource estimate. Results for CRM analyses are summarized in Table 12-10, and the two failed analyses are given in Table 12-11.
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
Table 12-10: Summary of Dark Star Results Obtained for Certified Reference Materials, 2016
Laboratory | Standard ID | Grades in oz Au/ton | Count | Dates Used | Failure Counts | Bias pct |
Target | Average | Maximum | Minimum | First | Last | High | Low |
Inspectorate | MEG-Au.10.02 | 0.0010 | 0.0010 | 0.0012 | 0.0008 | 156 | | | 0 | 0 | 0 |
ALS | MEG-Au.10.02 | 0.0010 | 0.0010 | 0.0012 | 0.0009 | 11 | | | 0 | 0 | 2.86 |
Inspectorate | MEG-Au.10.04 | 0.0023 | 0.0023 | 0.0027 | 0.0017 | 142 | | | 0 | 2 | 0 |
ALS | MEG-Au.10.04 | 0.0023 | 0.0024 | 0.0024 | 0.0023 | 8 | | | 0 | 0 | 5.13 |
Inspectorate | MEG-Au.13.02 | 0.0218 | 0.0218 | 0.0234 | 0.0204 | 141 | | | 0 | 0 | 0.40 |
ALS | MEG-Au.13.02 | 0.0218 | 0.0221 | 0.0224 | 0.0216 | 6 | | | 0 | 0 | 1.74 |
Inspectorate | MEG-S107007X | 0.0445 | 0.0454 | 0.0493 | 0.0402 | 114 | | | 0 | 0 | 2.03 |
ALS | MEG-S107007X | 0.0445 | 0.0438 | 0.0452 | 0.0430 | 7 | | | 0 | 0 | -1.51 |
Inspectorate | MEG-Au.11.17 | 0.0785 | 0.0809 | 0.0880 | 0.0742 | 110 | | | 0 | 0 | 2.97 |
ALS | MEG-Au.11.17 | 0.0785 | 0.0824 | 0.0855 | 0.0790 | 13 | | | 0 | 0 | 4.86 |
Inspectorate | MEG-Au.11.29 | 0.1076 | 0.1206 | 0.1206 | 0.1206 | 1 | | | 0 | 0 | 12.09 |
ALS | MEG-Au.11.29 | 0.1076 | n/a | n/a | n/a | 0 | | | 0 | 0 | n/a |
|
Inspectorate | | 664 | |
ALS | | 45 | |
|
Count or Sum | 6 | | 709 | | 0 | 2 | |
Percent | | | 100 | | 0 | 0.028 | |
Table 12-11: List of Dark Star Failed Certified Reference Materials, 2016
| | | Values in oz Au/ton |
Standard ID | Laboratory | Drill Hole ID | Target for Std | Fail Type High/Low | Fail Limit | Failed Value |
MEG-Au.10.04 | Inspectorate | DS16-08 651A | 0.0023 | low | 0.0017 | 0.0017 |
MEG-Au.10.04 | Inspectorate | DS16-38 1650A | 0.0023 | low | 0.0017 | 0.0017 |
In addition to the analyses of CRMs by Bureau Veritas (Inspectorate), a small number of CRM analyses were also done by ALS in 2016. It is noteworthy that there was an overall high bias in the ALS data relative to the expected values for four of five CRMs, whereas the magnitude of bias associated with Bureau Veritas assays was considerably smaller. Bureau Veritas’ assays were, on average, more accurate with respect to the expected values for the CRMs. Also, in 2016 some ALS check assays have been substituted for the original Bureau Veritas assays, but no CRMs were submitted with these samples.
12.5.4.2 | Bureau Veritas Duplicates |
MDA was provided with a compilation of Bureau Veritas’ internal preparation duplicate and replicate data, comprised of 185 preparation duplicate pairs and 198 pulp duplicate or replicate pairs. MDA’s evaluation of these revealed no significant issues.
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
12.5.4.3 | ALS vs. Bureau Veritas Checks on Pulps |
In 2017, Gold Standard obtained re-analyses of the 2016 samples at ALS, for comparison with the original Bureau Veritas assays. MDA evaluated these as check assays, as shown in Figure 12-4. There are 1,376 sample pairs. ALS’ analyses are biased on average about 3.8% high relative to Bureau Veritas.
Figure 12-4: Dark Star Check Assays - ALS Assay vs. Bureau Veritas (Inspectorate) 2016
12.5.4.4 | Gold Standard Pulp Blanks |
In 2016, Gold Standard used a commercial pulp blank obtained from a vendor of CRMs, obtaining 572 analyses. No issues with respect to contamination were revealed by these analyses.
12.5.4.5 | Bureau Veritas Pulp Blanks |
The data package for 2016 contains 535 analyses of a pulp blank used by Bureau Veritas as part of their internal QA/QC program. MDA evaluated these and found no values that would suggest contamination issues.
12.5.4.6 | Bureau Veritas Coarse Blanks |
Gold Standard compiled results from 205 coarse blanks analyzed by Bureau Veritas as part of their internal QA/QC protocol. The location within the analytical sequence of the blanks is not known, so the data are less useful for testing for contamination. Despite a lack of sequential context, the analyses revealed no contamination issues.
12.5.4.7 | Assay Substitution |
The QA/QC data available for 2016 support the original assays for that year performed by Bureau Veritas, although there were no QA/QC data associated with the ALS assays. The ALS assays compare reasonably well to the Bureau Veritas check assays, albeit with a high bias of about 4%. Check assays by ALS were substituted for some of the original Bureau Veritas assays.
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12.5.5 | Dark Star Drill Program QA/QC 2017 |
Of 310 CRMs analyzed in 2017, 180 were done at ALS and the remaining 130 were done at Bureau Veritas. Both ALS and Bureau Veritas analyses of the lowest-grade CRM, which has an expected value of 0.0023 oz Au/ton, were biased high by more than 6%, and three of ALS’s analyses were high-side failures. Because the expected value and the highest grade of the failures are below a potential mining cutoff grade, the failures and the high bias associated with the lowest grade standard does not adversely affect confidence in the mineral resource estimate. Results for CRM analyses are summarized in Table 12-12, and the three failed analyses are detailed in Table 12-13.
Table 12-12: Summary of Dark Star Results Obtained for Certified Reference Materials, 2017
Laboratory | Standard ID | Grades in oz Au/ton | Count | Dates Used | Failure Counts | Bias pct |
Target | Average | Maximum | Minimum | First | Last | High | Low |
ALS | MEG-Au.10.04 | 0.0023 | 0.0024 | 0.0029 | 0.0021 | 135 | 16-Jul-17 | 27-Oct-17 | 3 | 0 | 6.41 |
Inspectorate | MEG-Au.10.04 | 0.0023 | 0.0024 | 0.0028 | 0.0021 | 64 | 8-Aug-17 | 2-Nov-17 | 0 | 0 | 7.69 |
ALS | MEG-Au.13.02 | 0.0218 | 0.0219 | 0.0223 | 0.0216 | 8 | 2-Aug-17 | 10-Jan-18 | 0 | 0 | 0.67 |
Inspectorate | MEG-Au.13.02 | 0.0218 | 0.0218 | 0.0224 | 0.0211 | 6 | 12-Jan-18 | 27-Feb-18 | 0 | 0 | 0.4 |
ALS | MEG-Au.12.11 | 0.0427 | 0.0443 | 0.0446 | 0.0436 | 3 | 30-Jul-17 | 30-Jul-17 | 0 | 0 | 3.62 |
Inspectorate | MEG-Au.12.11 | 0.0427 | 0.0428 | 0.0450 | 0.0393 | 11 | 19-Jan-18 | 27-Feb-18 | 0 | 0 | 0.27 |
ALS | MEG-Au.12.21 | 0.0042 | 0.0040 | 0.0043 | 0.0037 | 34 | 30-Dec-17 | 15-Jan-18 | 0 | 0 | -3.5 |
Inspectorate | MEG-Au.12.21 | 0.0042 | 0.0041 | 0.0045 | 0.0035 | 44 | 27-Nov-17 | 27-Feb-18 | 0 | 0 | -2.8 |
Inspectorate | MEG-Au.11.19 | 0.0035 | 0.0035 | 0.0036 | 0.0033 | 5 | 27-Feb-18 | 27-Feb-18 | 0 | 0 | 0 |
Totals or Averages |
ALS | 4 | | | | | 180 | | | 3 | 0 | 1.80 |
Inspectorate | 5 | | | | | 130 | | | 0 | 0 | 1.11 |
| | | | | | | | | | | |
All | 9 | | | | | 310 | | | 3 | 0 | |
Percent | | | | | | 100 | | | 0.97 | 0 | |
Table 12-13: List of Dark Star Failed Certified Reference Materials, 2017
| | | Values in oz Au/ton | |
Standard ID | Laboratory | Sample ID | Target for Std | Fail Type High/Low | Fail Limit | Failed Value | Comment |
MEG-Au.10.04 | ALS | DS17-15 2045-2050-A2 | 0.0023 | high | 0.0028 | 0.0029 | no follow-up |
MEG-Au.10.04 | ALS | DS17-15 1045-1050-A2 | 0.0023 | high | 0.0028 | 0.0028 | no follow-up |
MEG-Au.10.04 | ALS | DS17-15 1245-1250-A2 | 0.0023 | high | 0.0028 | 0.0029 | no follow-up |
For three of four CRMs that were used, Bureau Veritas’ assays are more precise on average to the expected values than ALS’. The opposite was the case for the 2016 analyses of CRMs, when ALS CRM assays were biased low compared to Bureau Veritas.
12.5.5.2 | Gold Standard Duplicates |
Evaluation of the charts of 322 field duplicates analyzed in the 2017 data set reveal no significant issues.
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
12.5.5.3 | External Checks of 2017 Assays in 2018 |
In April and August 2018, Gold Standard submitted select pulps from three holes drilled in 2017 to outside labs as check assays. Pulps from one hole originally assayed by ALS was sent to Bureau Veritas (Inspectorate), and pulps from the other two holes originally assayed by Bureau Veritas were sent to ALS. In total, 175 check assay pairs were evaluated.
At grades up to about 0.0875 oz Au/ton, both sets of lab results compare well with little bias. Between about 0.0875 oz Au/ton and 0.2917 oz Au/ton, which is near the upper limit for ALS’ Au-AA23 analytical method, ALS is biased low by about 6.8% relative to Bureau Veritas based on relative differences of 14 sample pairs. Conversely, at grades above 0.2917 oz Au/ton, for which both labs used a gravimetric finish, ALS is biased on average about 4.6% high relative to Bureau Veritas, based on relative differences of five sample pairs. Although the demonstrated biases were low, no conclusive determinations can be made due to the small number of sample pairs.
12.5.5.4 | Gold Standard Pulp Blanks |
In 2017, Gold Standard inserted 170 pulp blanks, obtained from a supplier of CRMs, into the sample stream. The analyses of these revealed no significant issues with respect to contamination.
12.5.5.5 | Gold Standard Coarse Blanks |
Gold Standard inserted 111 samples of a coarse marble blank into the sample stream in 2017. In blanks from three holes analyzed in October and November 2017, there is a significant correlation between analyses of blanks that reported detectable gold and high gold values in preceding samples. Some contamination during sample preparation is suggested, however, the highest gold assay of a marble blank is 0.0006 oz Au/ton, which is well below potential mining cutoff grades. The occurrence of low levels of detectable gold in coarse blanks following relatively high-grade samples is not unusual and does not necessarily signal a significant issue. However, continued monitoring of coarse blank assays is warranted, and should be brought to the attention of the assaying lab if higher blank grades are received.
12.5.6 | Dark Star Drill Program QA/QC 2018 |
Five certified CRMs were used, and 594 CRM samples were analyzed in 2018. Three total failures occurred, two high and one low. The below detection value of the latter suggests an incorrectly-labeled pulp blank rather than a failure, although this cannot be determined conclusively. Results for CRM analyses are summarized in Table 12-14, and the three failed analyses are detailed in Table 12-15.
Table 12-14: Summary of Dark Star Results Obtained for Certified Reference Materials, 2018
Laboratory | Standard ID | Grades in oz Au/ton | Count | Dates Used | Failure Counts | Bias pct |
Target | Average | Maximum | Minimum | First | Last | High | Low |
Inspectorate | MEG-Au.11.19 | 0.0035 | 0.0034 | 0.0041 | 0.0027 | 76 | 14-Mar-18 | 16-Apr-18 | 0 | 0 | -4.17 |
AAL | MEG-Au.11.19 | 0.0035 | 0.0029 | 0.0031 | 0.0001 | 16 | 24-Apr-18 | 30-Apr-18 | 0 | 1 | -17.5 |
Inspectorate | MEG-Au.17.06 | 0.0029 | 0.0030 | 0.0036 | 0.0024 | 376 | 26-Jun-18 | 14-Feb-19 | 1 | 0 | 4.08 |
Inspectorate | MEG-Au.13.02 | 0.0218 | 0.0219 | 0.0230 | 0.0212 | 10 | 17-Aug-18 | 06-Sep-18 | 0 | 0 | 0.54 |
Inspectorate | MEG-Au.12.11 | 0.0427 | 0.0433 | 0.0465 | 0.0396 | 66 | 17-Aug-18 | 14-Feb-19 | 0 | 0 | 1.43 |
Inspectorate | MEG-Au.17.07 | 0.0055 | 0.0059 | 0.0066 | 0.0054 | 50 | 06-Sep-18 | 14-Feb-19 | 1 | 0 | 6.91 |
Totals or Averages |
Inspectorate | 5 | | | | | 578 | | | 2 | 0 | 0.47 |
AAL | 1 | | | | | 16 | | | 0 | 1 | -17.5 |
|
All | 6 | | | | | 594 | | | 2 | 1 | |
Percent | | | | | | 100 | | | 0.34 | 0.17 | |
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Table 12-15: List of Dark Star Failed Certified Reference Materials, 2018
| | | Values in oz Au/ton | |
Standard ID | Lab | Sample ID | Target for Std | Fail Type | Fail Limit | Failed Value | Comment |
MEG-Au.11.19 | AAL | DR18-25 545-550 A9 | 0.0035 | low | 0.0024 | <0.0001 | blank? |
MEG-Au.17.06 | Insp. | DS18-02 1845-1850-L1 | 0.0029 | high | 0.0035 | 0.0036 | insufficient sample |
MEG-Au.17.07 | Insp. | DC18-04 490-495-A12 | 0.0055 | high | 0.0064 | 0.0066 | deemed OK by Gold Standard* |
| Note: | * Failure occurs in an unmineralized geotechnical drill hole outside the gold model. |
Most of the analyses in 2018 were performed by Bureau Veritas (Inspectorate), but there are sixteen CRM analyses associated with AAL assays with an expected value of 0.0035 oz Au/ton. The average of AAL’s analyses of this CRM is biased 17.5% low, the magnitude of which is considered high. Only one of the AAL analyses is a failure, which represents a 6.3% failure rate for the lab. Although this sample is suspected to be a mis-labeled blank, the failure and low bias merits investigation.
Insufficient sample material may have contributed to one of the two high failures that occurred in Bureau Veritas’ analyses of CRMs in 2018. Both failed analyses were 0.0001 oz Au/ton above the upper failure limit, so each barely qualify as failures. Gold Standard did not initiate any corrective action for any standard failure.
12.5.6.2 | Gold Standard Duplicates |
The 714 field duplicates evaluated in the 2018 data set reveal no significant issues.
12.5.6.3 | Gold Standard Pulp Blanks |
During the 2018 drill program, Gold Standard inserted pulp blanks into the RC sample stream, however, none were submitted with samples from core drilling. Most of the 364 blank analyses were within acceptable limits. Gold Standard re-analyzed part of the sample batch associated with one pulp blank gold assay of 0.0008 opt Au. It is not known if the re-analyzes replaced the original assays.
12.5.6.4 | Gold Standard Coarse Blanks |
The 158 analyses of coarse marble blanks in 2018 indicate possible contamination during sample preparation between mid-July and mid-October. There was a correlation between detectable gold in the coarse blanks and the preceding relatively high-grade samples, similar to that which occurred in the 2017. The same conclusion applies in 2018, in that contamination during sample preparation is suggested, however, the blank assay values well below potential mining cutoff grades. The occurrence of low levels of detectable gold in coarse blanks following relatively high-grade samples is not unusual and does not necessarily signal a significant issue. However, continued monitoring of coarse blank assays is warranted, and should be brought to the attention of the assaying lab if higher blank grades are received.
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12.5.6.5 | Twin-Hole Analysis |
Gold Standard drilled one core hole twin (DC18-09) of a RC drill hole (DR18-44). The holes were collared 18.7 ft apart and intersected a significant amount of low- and high-grade mineralization. Core intervals were composited to 10 ft to match the RC intervals to facilitate a more direct comparison of the data. The higher-grade intercepts are wider in the core hole, although the relative positions of mineralization are similar in the two holes. Average gold grade is higher in the core hole at 0.0569 oz Au/ton, compared to 0.0437 oz Au/ton in the RC hole (Figure 12-5). The core hole roughly confirms the data in the RC hole, but conclusions from a single pair of holes cannot be extrapolated to the overall drill campaign. The single twin-hole comparison does suggest that grade of mineralization can vary greatly over short distances within the Dark Star deposit.
Figure 12-5: Scatter Plot of Twin-Hole Analysis – DC18-09 (core) vs DR18-44 (RC)
12.5.7 | Dark Star Drill Program QA/QC 2019 |
Three certified CRMs were used, and 701 CRM samples were analyzed in 2019 by Bureau Veritas (Inspectorate). No failures occurred. Results for one CRM were on average biased close to 6% above the expected value. The bias associated with the same standard in 2018 was similar. Although the results for the CRM are within acceptable limits, MDA recommends investigating the bias by performing pulp check analyses of the CRM at another laboratory, if any of the CRM material is still available. Results for CRM analyses are summarized in Table 12-16.
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Table 12-16: Summary of Dark Star Results Obtained for Standards, 2019
Laboratory | Standard ID | Grades in oz Au/ton | Count | Dates Used | Failure Counts | Bias pct |
Target | Average | Maximum | Minimum | First | Last | High | Low |
Inspectorate | MEG-Au.17.06 | 0.0029 | 0.0029 | 0.0033 | 0.0026 | 92 | 08-Feb-19 | 24-Apr-19 | 0 | 0 | 2.04 |
Inspectorate | MEG-Au.12.11 | 0.0427 | 0.0436 | 0.0460 | 0.0404 | 66 | 08-Feb-19 | 24-Apr-19 | 0 | 0 | 2.12 |
Inspectorate | MEG-Au.17.07 | 0.0055 | 0.0058 | 0.0063 | 0.0053 | 43 | 08-Feb-19 | 24-Apr-19 | 0 | 0 | 5.85 |
Totals or Averages |
All | 3 | | | | | 201 | | | 0 | 0 | |
Percent | | | | | | 100 | | | 0 | 0 | |
Variability between original samples and field duplicates in 2019 was reasonable. The results reflect the natural heterogeneity inherent in gold deposits.
The results for the pulp blanks analysed during the first quarter of 2019 were acceptable. No significant issue with respect to contamination were revealed.
12.5.7.4 | 2019 Coarse Blanks |
Ten analyses of coarse blanks were analysed in a shipment of samples from one core hole. The results did not indicate contamination during sample preparation.
12.6 | Gold Standard’s Pinion Drill Program QA/QC |
The lack of QA/QC before 2014 has impacted the mineral resource classification as described in Section 14.3.
During the period 2014 through 2016, Gold Standard’s QA/QC program involved the use of pulp blanks and CRMs. No coarse blanks or duplicates were collected or analyzed during those years. In 2017 and 2018, Gold Standard’s QA/QC program was similar to the previous program, but with the addition of coarse blanks and RC rig (field) duplicates. MDA’s evaluation of Gold Standard’s QA/QC data revealed the following issues:
| · | In the latter half of 2014, six of 52 analyses of one CRM with a target grade of about 0.0583 oz Au/ton were high failures, yielding a failure rate of about 12%; |
| · | In April 2018, seven sequential analyses of a CRM with a target grade of 0.0035 oz Au/ton were biased low by an average of about 18.5%; |
| · | Among samples from hole PIN15-14, ten of the blanks assayed gold in the range 0.0009 to 0.0024 oz Au/ton. Gold Standard obtained re-analyses of 14 mineralized samples analyzed in the same batch as the blanks in question. In a 55 ft interval, the re-run assays averaged 0.0102 oz Au/ton, whereas the original assays averaged 0.0120 oz Au/ton. The original assays were replaced by the second analyses in the project database; |
| · | There are some indications in the data that referee samples are occasionally mis-labeled. This is, however, unprovable; and |
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| · | The data provided to MDA, particularly prior to 2016, do not contain consistent records of actions that may have been taken to investigate QA/QC failures. The example of PIN15-14 shows that Gold Standard does monitor and take action on some QA/QC failures, but records of these activities were not readily apparent in the data sets provided to MDA. |
The issues identified by MDA are not of a sufficient magnitude to preclude the use of Gold Standard’s gold assays in a mineral resource estimate. The overall effect on the model and estimate is not substantially material. However, the lack of QA/QC from before 2014, which represents a significant portion of the total drilling, and the minimal QA/QC samples prior to 2016 are considered in mineral resource classification.
MDA strongly suggests that, in the future, Gold Standard’s QA/QC program include the use of coarse blanks to monitor the consistency of the laboratory’s sample preparation procedures and possible contamination during preparation.
12.6.1 | Pinion Drill Program QA/QC CRMs |
12.6.1.1 | CRMs - 2014 - 2015 |
For drilling during 2014 and 2015, Gold Standard supplied MDA with the analyses of 773 CRMs. MDA prepared control charts to evaluate the combined 2014 and 2015 data for each of the eight CRMs used during the campaign. The results are summarized in Table 12-17. Details of the 11 failures are listed in Table 12-18.
Table 12-17: Summary of Results for CRM Assays, 2014 – 2015
CRM ID | Grades in oz Au/ton | Count | Dates Used | Failure Counts | Bias pct |
Target | Average | Maximum | Minimum | First | Last | High | Low |
MEG-Au.10.02 | 0.0010 | 0.0010 | 0.0023 | 0.0006 | 180 | Apr 2014 | Dec 2015 | 1 | 1 | -2.86 |
MEG-Au.10.04 | 0.0023 | 0.0023 | 0.0026 | 0.0019 | 123 | Apr 2014 | Dec 2015 | 0 | 0 | 1.28 |
MEG-Au.11.19 | 0.0035 | 0.0034 | 0.0040 | 0.0028 | 20 | Apr 2014 | July 2014 | 0 | 0 | -2.50 |
MEG-Au.11.29 | 0.1076 | 0.1088 | 0.1304 | 0.0925 | 86 | Apr 2014 | Dec 2015 | 0 | 0 | 1.11 |
MEG-Au.13.02 | 0.0218 | 0.0221 | 0.0241 | 0.0198 | 164 | July 2014 | Dec 2015 | 0 | 0 | 1.74 |
MEG-S107007X | 0.0445 | 0.0448 | 0.0484 | 0.0346 | 112 | Apr 2014 | Dec 2015 | 0 | 3 | 0.58 |
MEG-Au.11.34 | 0.0617 | 0.0671 | 0.1578 | 0.0537 | 52 | July 2014 | Dec 2014 | 6 | 0 | -0.94 |
MEG-Au.11.17 | 0.0785 | 0.0816 | 0.0872 | 0.0767 | 36 | June 2015 | Dec 2015 | 0 | 0 | 3.90 |
|
Sum | | | | | 773 | | | 7 | 4 | |
Percent | | | | | 100 | | | 0.91 | 0.52 | |
Table 12-18: List of Failed CRM Analyses, 2014 – 2015
CRM ID | Sample ID | Cert. Grade oz Au/ton | Fail Type High/Low | Fail Limit oz Au/ton | Failed Value oz Au/ton | Comment |
MEG-Au.10.02 | PIN14-20 650A | 0.0010 | Low | 0.0007 | 0.0006 | |
MEG-Au.10.02 | PIN14-44 100B | 0.0010 | High | 0.0014 | 0.0023 | mis-identification? |
MEG-S107007X | PIN14-06 302A | 0.0445 | Low | 0.0386 | 0.0382 | |
MEG-S107007X | PIN14-09 350A | 0.0445 | Low | 0.0386 | 0.0382 | |
MEG-S107007X | PIN14-11 150A | 0.0445 | Low | 0.0386 | 0.0346 | |
MEG-Au.11.34 | PIN14-11 450A | 0.0617 | High | 0.0767 | 0.0831 | |
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CRM ID | Sample ID | Cert. Grade oz Au/ton | Fail Type High/Low | Fail Limit oz Au/ton | Failed Value oz Au/ton | Comment |
MEG-Au.11.34 | PIN14-18 250A | 0.0617 | High | 0.0767 | 0.0965 | |
MEG-Au.11.34 | PIN14-34 250A | 0.0617 | High | 0.0767 | 0.0811 | |
MEG-Au.11.34 | PIN14-38 250A | 0.0617 | High | 0.0767 | 0.1578 | mis-identification? |
MEG-Au.11.34 | PIN14-52 250A | 0.0617 | High | 0.0767 | 0.1557 | mis-identification? |
MEG-Au.11.34 | PIN14-56 250A | 0.0617 | High | 0.0767 | 0.1047 | |
Six high failures occurred for one CRM, MEG-Au.11.34, which represents a nearly 12% failure rate. The control chart for this CRM is shown in Figure 12-6, and explanations for the control charts is in Table 12-19. Some of the more extreme high failures listed in Table 12-17 could be mis-labeled standards rather than actual failures, although this cannot be confirmed.
Table 12-19: Explanations for Control Charts
Mean and Standard Deviations Obtained from Certificate for CRM |
USL | Upper Specification Limit | Target + 3 Std Dev |
Target | Expected Value | |
LSL | Lower Specification Limit | Target - 3 Std Dev |
Mean and Standard Deviations Calculated Using Assays of CRMs |
UCL | Upper Control Limit | Avg + 3 Std Dev |
Avg | Mean Value | |
LCL | Lower Control Limit | Avg - 3 Std Dev |
Figure 12-6: Control Chart for MEG-Au.11.34
Note: data points shown as hollow squares were not used in calculating the average and bias listed in Table 12-17.
Another control chart, for MEG-S107007X, is shown in Figure 12-7. The first ten analyses highlighted in red, three of which are analytical failures, are biased conspicuously low. Possible causes for these low analyses include mis-labeled CRMs or, for that period in 2014, the laboratory was producing analyses that were significantly low, after which the instruments were adjusted. However, the latter is unlikely because similar consistently low bias was not apparent in other CRMs analyzed during the same time period. Regardless of the cause, the analyses were failures, and confidence is lower for the assays associated with the respective sample batches.
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Figure 12-7: Control Chart for MEG-S107007X
12.6.1.2 | CRMs - 2016, 2017 and 2018 |
Gold Standard provided MDA with sets of control charts for CRMs used during the 2016, 2017, and 2018 drilling campaigns. The results are summarized in Table 12-20, Table 12-21 and Table 12-22.
No failures were identified in the data for CRMs in 2016 and 2017. Three high failures occurred in 2018, as indicated in Table 12-22 and listed in Table 12-23. One is precisely at the failure limit and was accepted by Gold Standard and MDA. The other two high failures do not relate to any samples that were used in the gold model and mineral resource.
The magnitude of bias given in Table 12-20 and Table 12-21 are within the range that is expected for gold assays. However, the low bias for a portion of the data for CRM MEG-Au.11.19 in 2018 shown in Table 12-22 is excessive. Thirteen assays of MEG-Au.11.19 that were analyzed first are on average biased 2.3% low, within a reasonable range expected. However, the seven latest analyses of the CRM are biased 18.5% low, well outside the expected range (Figure 12-8). Possible explanations include an abrupt change in the physical character of the CRM or a change in some aspect of the laboratory’s analytical instrumentation or process. Although none of the seven low-biased analyses is technically a failure using the usual criteria of expected value ± three standard deviations, the demonstrated bias could indicate a systematic analytical issue that would reduce confidence in associated assays. The excessive low bias analyses of MEG-Au.11.19 occurred from April 10 through April 29, 2018. Another set of CRM samples with a similar order of magnitude gold grade, MEG-Au.17.06, was analyzed during the period April 11 through June 13, 2018, and show a slight positive bias, suggesting the laboratory was not producing analyses with a consistent strong low bias during the time period. Ultimately, the cause for the strong low bias is not known.
12.6.1.3 | Grade Ranges of CRMs Used in 2018 |
Although the number of CRMs in use has varied over the years, generally with fewer CRMs in use as time progressed, Gold Standard has typically used one or more low-grade CRMs, one or more mid-grade CRMs, and one or more high- grade CRMs, in order to represent the grades of mineralized samples encountered at Pinion. In 2018, except for a short period in mid-April, Gold Standard used only two low-grade CRMs, both with certified grades below a potential mining cutoff (Figure 12-9). The low-grade CRMs are useful in that they test the analytical method used for most of the mineral resource-grade samples. However, a single analytical method can yield results with a range of accuracies and precisions over time. Use of CRMs over a range of grades that are representative of mineralized grades in the deposit would provide greater confidence in the associated assays.
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Table 12-20: Summary of Results Pinion for CRM Assays, 2016
CRM ID | Grades in oz Au/ton | Count | Dates Used | Failure Counts | Bias pct |
Target | Average | Maximum | Minimum | First | Last | High | Low |
MEG-Au.10.02 | 0.0010 | 0.0010 | 0.0011 | 0.0008 | 73 | June 2016 | Jan 2017 | 0 | 0 | -2.86 |
MEG-Au.10.04 | 0.0023 | 0.0023 | 0.0026 | 0.0020 | 68 | June 2016 | Jan 2017 | 0 | 0 | 2.32 |
MEG-Au.11.29 | 0.1076 | 0.1081 | 0.1202 | 0.1027 | 15 | June 2016 | July 2016 | 0 | 0 | 0.52 |
MEG-Au.13.02 | 0.0218 | 0.0221 | 0.0228 | 0.0213 | 25 | June 2016 | Jan 2017 | 0 | 0 | 1.73 |
MEG-S107007X | 0.0445 | 0.0445 | 0.0475 | 0.0414 | 39 | June 2016 | Oct 2016 | 0 | 0 | 0 |
MEG-Au.11.17 | 0.0785 | 0.0813 | 0.0875 | 0.0709 | 43 | June 2016 | Jan 2017 | 0 | 0 | 3.44 |
|
Sum | | | | | 263 | | | 0 | 0 | |
Percent | | | | | 100 | | | 0 | 0 | |
Table 12-21: Summary of Results for Pinion CRM Assays, 2017
CRM ID | Grades in oz Au/ton | Count | Dates Used | Failure Counts | Bias pct |
Target | Average | Maximum | Minimum | First | Last | High | Low |
MEG-Au.10.02 | 0.0010 | 0.0010 | 0.0012 | 0.0002 | 11 | Nov 2017 | Nov 2017 | 0 | 1 | -2.86 |
MEG-Au.10.04 | 0.0023 | 0.0024 | 0.0025 | 0.0022 | 8 | Nov 2017 | Nov 2017 | 0 | 0 | 3.85 |
MEG-Au.12.21 | 0.0042 | 0.0040 | 0.0044 | 0.0036 | 31 | Nov 2017 | Dec 2017 | 0 | 0 | -4.90 |
|
Sum | | | | | 50 | | | 0 | 1 | |
Percent | | | | | 100 | | | 0 | 2 | |
Table 12-22: Summary of Results for Pinion CRMs, 2018
CRM ID | Grades in oz Au/ton | Count | Dates Used | Failure Counts | Bias pct |
Target | Average | Maximum | Minimum | First | Last | High | Low |
MEG-Au.17.06 | 0.0029 | 0.0029 | 0.0037 | 0.0024 | 258 | 11 Apr 2018 | 6 Jul 2018 | 3 | 0 | 2.32 |
MEG-Au.11.19 | 0.0035 | 0.0034 | 0.0040 | 0.0028 | 13 | 29 Mar 2018 | 9 Apr 2018 | 0 | 0 | -2.31 |
MEG-Au.11.19 | 0.0035 | 0.0029 | 0.0030 | 0.0027 | 7 | 10 April 2018 | 29 Apr 2018 | 0 | 0 | -18.45 |
MEG-Au.11.29 | 0.1076 | 0.1123 | 0.1268 | 0.0989 | 16 | 5 April 2018 | 20 Apr 2018 | 0 | 0 | 5.41 |
|
Sum | | | | | 294 | | | 0 | 0 | |
Percent | | | | | 100 | | | 0 | 0 | |
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Table 12-23: List of Failed Pinion CRM Assays, 2018
CRM ID | Sample ID | Target for Std oz Au/ton | Fail Type High/Low | Fail Limit oz Au/ton | Failed Value oz Au/ton | Comment |
MEG-Au.17.06 | PR18-78 245-250-L1 | 0.0029 | High | 0.0035 | 0.0035 | accepted by Gold Standard |
MEG-Au.17.06 | PR18-89 45-50-L1 | 0.0029 | High | 0.0035 | 0.0037 | accepted by Gold Standard; does not affect any mineral resource blocks |
MEG-Au.17.06 | PC18-03 32-34.5-L1 | 0.0029 | High | 0.0035 | 0.0036 | samples re-run by Gold Standard; related assays not used in mineral resource estimate |
Figure 12-8: Control Chart for MEG-Au.11.19 – 2018
Note: Average, UCL and LCL are determined from analyses of the CRM as explained in Table 12-19.
Figure 12-9: Grade and Date Ranges of 2018 Pinion CRMs
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12.6.1.4 | CRMs for Drill Sample Silver Analyses in 2019 |
In 2019, drill-sample pulps from 5.0 ft intervals of holes drilled by Gold Standard were submitted for silver assays, which were done from March to April of 2019. These intervals were previously analyzed for gold at either ALS or Bureau Veritas, however, silver analyses were performed on 20 to 30 ft composites, which was not sufficiently precise for silver modeling. Gold Standard inserted 765 silver CRMs, using three different CRMs certified for silver, into the pulp sample stream. MDA evaluated the CRM results using a variation of Shewhart-type charts prepared by Gold Standard. The properties of the three CRMs as well as the results of the 765 analyses of standards for silver are summarized in Table 12-24. The failures are listed in Table 12-25.
Table 12-24: Summary of 2019 Analyses of Silver CRMs
Standard ID | Grades in oz Ag/ton | Count | Dates Used | Failure Counts | Bias pct |
Target | Average | Maximum | Minimum | First | Last | High | Low |
MEG-LWA-34 | 0.0554 | 0.0379 | 0.0875 | 0.0146 | 331 | 20-Mar-19 | 10-Apr-19 | 0 | 33* | -31.6 |
MEG-Au.11.29 | 0.3908 | 0.4025 | 0.5833 | 0.0583 | 336 | 20-Mar-19 | 15-Apr-19 | 7 | 1 | 3.0 |
MEG-Au.13.03 | 0.1312 | 0.1400 | 0.1750 | 0.0583 | 98 | 18-Apr-19 | 27-Apr-19 | 0 | 1 | 6.7 |
Totals |
counts | | | | | 765 | | | 7 | 2* | |
percentages | | | | | 100 | | | 0.9 | 0.3 | |
| Note: | * | the 33 failures of MEG-LWA-34 are not included in the calculation of the failure rate. |
| | | MEG-LWA-34 and MEG-Au.11.29 were used with samples from holes drilled in 2014 through 2018. |
| | | MEG-Au.13.03 was used with samples from holes drilled in 2014 through 2016. |
Table 12-25: List of Failed Silver CRM Assays
Standard ID | Sample ID | Target for Std (oz Ag/ton) | Fail Type | Fail Limit (oz Ag/ton) | Failed Value (oz Ag/ton) | Comment |
MEG-LWA-34 | 33 samples | 0.0554 | low | 0.0204 | <0.0292 | below detection limit; not material |
MEG-Au.11.29 | PR18-52 245-250-S2 | 0.3908 | high | 0.4696 | 0.5833 | |
MEG-Au.11.29 | PR18-01 245-250-S2 | 0.3908 | high | 0.4696 | 0.4958 | |
MEG-Au.11.29 | PR18-80 245-250-S2 | 0.3908 | high | 0.4696 | 0.5833 | |
MEG-Au.11.29 | PIN16-19 245-250-S2 | 0.3908 | high | 0.4696 | 0.5833 | |
MEG-Au.11.29 | PIN15-09 1845-1850-S2 | 0.3908 | high | 0.4696 | 0.5250 | |
MEG-Au.11.29 | PIN15-19 245-250-S2 | 0.3908 | high | 0.4696 | 0.5833 | |
MEG-Au.11.29 | PIN14-07 645-650-S2 | 0.3908 | high | 0.4696 | 0.5542 | |
MEG-Au.11.29 | PR18-74 645-650-S2 | 0.3908 | low | 0.3121 | 0.0583 | sample mix-up? |
MEG-Au.13.03 | PIN14-27 45-50-S3 | 0.1312 | low | 0.0787 | 0.0583 | |
MEG-LWA-34 is a low-grade standard with an expected value of approximately 0.0292 oz Ag/ton, which is near the lower detection limit of the analytical method. The 33 low failures are not material given the low precision of the analytical method, and are not included in calculation of the failure rate presented in Table 12-24.
MDA evaluated the seven high failures of MEG-Au.11.29 in context with adjacent silver assays in the same drill holes and location relative to mineral domains. The failures are not considered to be material with respect to the silver modeling and estimation.
The QA/QC data includes another 17 silver analyses of a CRM certified for gold but not for silver. The certificate characterizing the CRM notes an expected silver value of 0.0020 oz Ag/ton. The 17 analyses, reported in ppb silver and converted to oz Ag/ton, are within the range 0.0004 to 0.0009 oz Ag/ton. Given the low silver grades and that the standard is not certified for silver, significant conclusions should not be drawn from these results. Gold Standard did not re-analyze any of the samples in analytical batches associated with the failed silver standard analyses.
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12.6.2 | Pinion Drill Program QA/QC Field Duplicates |
In 2017 and 2018, Gold Standard collected field duplicates at approximately 100 ft intervals, which is two or three duplicates per hole for the generally shallow drilling. Duplicates were obtained by collecting two samples simultaneously from a rotating wet splitter. Gold Standard did not collect duplicate samples in prior years.
MDA prepared three types of charts for the duplicates:
| · | A scatterplot, showing an RMA regression; |
| · | A quantile/quantile plot; and |
| · | Several relative difference plots (see explanation, below). |
MDA used a relative difference expressed as a percentage for each duplicate pair calculated as follows:
Table 12-26 summarizes the results for the field duplicates. The average of the relative difference listed in Table 12-26 is based on Equation 1 above and is an indication of the bias between the duplicates and the originals. The “Abs Rel Pct Diff” is the average of the absolute relative differences and gives an indication of the degree of variability between the duplicates and originals.
Table 12-26: Summary of Results for Pinion Field Duplicates
Type | Period | Corr. Coeff.* | Counts | RMA Regression | Averages as Percent |
All | Used | Outliers | (y = dup, x = orig) | Rel Pct Diff | Abs Rel Pct Dif |
Field Dup | 2017 - 2018 | 0.95 | 331 | 277 | 2 | y = 1.059x - 0.010 | -4.8 | 27.6 |
MDA also performed an alternative calculation as part of the evaluation of duplicates using the following:
These results are not listed in Table 12-26. The disparity in Table 12-26 between the total number of pairs (“All”) and the number of pairs used (“Used”) exists because pairs in which one or both analyses are below the analytical detection limit were not included in calculations. Two outlier pairs were also excluded because the differences were excessive and would skew the statistics of the data set. Therefore, the average reported in the table is for all grades above the detection limit and excluding outliers. Note that reporting single averages for the entire set of duplicates masks differences that occur in different grade ranges. See the chart in Figure 12-10 for a more meaningful depiction of the relative difference data.
As indicated by the relative difference shown in Table 12-26, and shown in more detail by the moving average line (in red) in Figure 12-10, there is a tendency for the field duplicate samples to have slightly lower grades than the originals (when duplicate grades are greater than original sample grades, relative differences are positive). Figure 12-10 shows the bias of the duplicate grades greater than original sample grades to be most pronounced at mean grades below about 0.0058 oz Au/ton. Bias is almost absent at higher grades.
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There is no information on which to base any opinion as to the cause of the low bias in the duplicates at lower grades. MDA suggests that Gold Standard review procedures used for sampling, sample preparation, and analysis to determine if a cause can be identified and take corrective action if necessary.
Figure 12-10: Gold Relative Percent Difference – Pinion Duplicate vs. Original
The 2019 silver assays of pulps from earlier Gold Standard drill-hole samples included 309 samples with the suffix “dup.” MDA matched these to the original sample assays and evaluated the resulting duplicate pairs. A summary of the evaluation is given in Table 12-27.
The silver duplicate assay data includes 202 pairs for which both analyses were below the lower detection limit of the analytical method, and 12 additional pairs for which one of the analyses is below. These 214 pairs were not used in calculation of statistics in Table 12-27, so that only 95 pairs containing detectable silver were used in the evaluation. The results indicated in Table 12-27 do not indicate excessive variability.
Table 12-27: Summary of Results for Duplicates in Silver Re-Assays
Type | Comment | Corr. Coeff. | Ag Grade Averages (oz Au/ton) | Counts | RMA Regression (y = dup, x = orig) | Averages as Percent |
Mean of Pair | Dup – Original | All | Used | Outliers | Rel Pct Diff | Abs Rel Pct Dif |
Field Dup | all available excluding outliers | 0.93 | 0.178 | -0.006 | 309 | 95 | 0 | y = 0.987x – 0.219 | -3.2 | 30.3 |
Notes: | The differences between the numbers of duplicate pairs available (“All”) and those “Used” occurs because pairs in which one or both analyses fell below the method detection limit were excluded. |
| Mop indicates mean of pair |
| Relative differences shown in the last two columns of Table 12-27 are averages of those calculated using Equation 1. A negative relative difference indicates that, on average, the duplicate analyses were lower than the originals. |
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12.6.3 | External Check Assays for Pinion Drilling |
In April and August 2018, Gold Standard selected pulps from two holes drilled in 2017 that were originally assayed by ALS and sent them to Bureau Veritas for check assays. In total, 95 usable original and check assay pairs were produced. MDA evaluated these using the same suite of charts and statistics used to evaluate the other types of duplicates described herein. Differences were calculated so that when an ALS assay was higher than the Bureau Veritas assay, the difference is positive, and vice-versa.
The results of MDA’s evaluation are summarized in Table 12-28, and the relative differences by mean grade are illustrated in Figure 12-11. Thirteen pairs having a mean grade less than 0.0010 oz Au/ton were excluded from the comparison because at the lowest grades, small differences are magnified and statistics are skewed.
Table 12-28: Summary of Results for 2018 Re-Assays of 2017 Pinion Samples
Type | Comment | Corr. Coeff. | Grade Averages (oz Au/ton) |
Mean of Pair | Dup – Original |
Check | all available excluding Au < 0.0010 | 0.999 | 0.0313 | -0.0001 |
Check | subrange 0.0012 ≤ mop < 0.0058 | 0.986 | 0.0029 | 0.0002 |
Check | subrange mop > 0.0058 opt | 0.999 | 0.0430 | -0.0003 |
Type | Counts | RMA Regression (y = ALS, x = bv) | Averages as Percent |
All | Used | Outliers | Rel Pct Diff | Abs Rel Pct Dif |
Check | 95 | 82 | - | y = 0.976x + 0.021 | 1.4 | 4.4 |
Check | 24 | 24 | - | y = 1.136x – 0.007 | 4.7 | 7.2 |
Check | 58 | 58 | - | y = 0.971x + 0.034 | 0.0 | 3.3 |
Notes: | The differences between the number of duplicate pairs available (“All”) and those “Used” occurs because very low-grade pairs were excluded from statistical calculations, as were outliers. “mop” indicates mean of pair. |
| Pairs in which one or both assays are below detection limit are not used in statistical calculations. Relative differences in these tables are those calculated using Equation 1. |
Figure 12-11: Gold Relative Percent Difference – ALS vs. Bureau Veritas, 2017 Pulps
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Two grade subranges each have distinct characteristic statistics. For sample pairs with mean grades between 0.0010 oz Au/ton and 0.0058 oz Au/ton, ALS was on average biased higher than Bureau Veritas with an average relative difference of +4.7%. For pairs with mean grades greater than 0.0058 oz Au/ton, a subrange comprising about 60% of the pairs, there was effectively no overall bias, although the bias varies high or low by a few percentage points within that range (Figure 12-11).
In summary, the check assays done in 2018 on 2017 assay pulps revealed no issues respect to excessive variability or bias.
12.6.4 | Pinion Drill Program QA/QC Blanks |
12.6.4.1 | Pulp Blanks – 2014 to 2016 |
In the period 2014–2018, Gold Standard used certified pulp blanks obtained from a supplier of CRMs. Pulp blanks test for contamination during the analytical process in the laboratory, but not the sample preparation process where the large majority of contamination occurs.
There were 422 pulp blanks analyzed in 2014. The blanks were inserted into the sample stream every 100 feet. Five blanks in drill hole PIN14-44, were marked in the database as “labelled wrong,” and were disregarded in the current evaluation. Among the remaining 417 blank analyses, six were reported to have detectable gold. The maximum value of 0.0005 oz Au/ton detected in the pulp blanks is considered negligible, and does not qualify as a failure.
Figure 12-12 depicts the gold analyses of the blanks as well as the assay of the preceding drill samples. There is no meaningful evidence that the grades of the preceding samples are reflected in the pulp blank grades. Therefore, there is no evidence of sample contamination during the analytical process. As previously noted, pulp blanks are not useful for checking for contamination in the sample preparation process.
Figure 12-12: Gold in Blanks and Preceding Samples - 2014
In 2015, Gold Standard used a pulp blank to test for contamination in drilling at Pinion. In total, 296 analyses of the blank were assayed at downhole intervals of 100 feet. A chart of the blank analyses plotted with assays of the preceding samples (although not directly assessed, pulps are assumed to be prepared and analyzed in sequence), is presented in Figure 12-13.
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Figure 12-13: Gold in Blanks and in Preceding Samples - 2015
Nineteen of the 296 analyses of pulp blanks in 2015 reported some detectable gold. In nine of these cases, the values were low at 0.0001 to 0.0002 oz Au/ton, and were not considered to be failures. However, ten of the analyses which were with samples from drill hole PIN15-14, reported gold in the range 0.0009 to 0.0024 oz Au/ton. These are highlighted on Figure 12-13, but do not seem to correlate with gold-rich samples. Gold Standard obtained re-analyses of fourteen mineralized samples from the same batch as the blanks in question. Table 12-29 summarizes a comparison between the original gold analyses and the re-run assays. The table shows that the re-run assays for the interval from 710 to 765 ft are on average lower than the original assays. The re-run assays were substituted for original assays In the Pinion database.
Table 12-29: Comparison of Original Assays and Re-Runs in Part of PIN15-14
From-To in feet | Length in feet | Average grade original (Au-AA23?) | Average grade re-runs (Au-AA23) |
710 – 765 | 55 ft | 0.0121 oz Au/ton | 0.0102 oz Au/ton |
800 – 815 | 15 ft | 0.0029 oz Au/ton | 0.0029 oz Au/ton |
During the 2016 drilling campaign Gold Standard used a pulp blank having a certified value of “<0.003 ppm Au” (0.0029 oz Au/ton). In all, 255 pulp blanks were inserted into the analytical stream every 100 feet. Only in one sample was a detectable gold value of 0.0002 oz Au/ton reported, which does not qualify as a failure. The analyses of pulp blanks in the 2016 campaign, therefore, revealed no evidence of contamination, although the potential for contamination during sample preparation was not tested.
12.6.4.2 | Coarse and Pulp Blanks - 2017 and 2018 |
In 2017 and 2018, Gold Standard used both coarse and pulp blanks. The certified pulp blank was obtained from a commercial supplier (MEG-Blank.14.03), and the coarse blank is described as “Gold Standard marble”. Coarse blanks undergo the full sample preparation and analytical process and can show if any contamination takes place in the sample preparation process. Both blank types are expected to have no detectable gold, which for the analytical method used for gold is 0.0001 oz Au/ton.
MDA prepared charts for both of these blank types separately. The charts are shown in Figure 12-14 and Figure 12-15. In the case of the pulp blanks in Figure 12-14, only four of 159 analyses reported gold exceeding the detection limit, and the highest grade reported was 0.0003 oz Au/ton, which does not qualify as a failure. There is no evidence that the analyses of the pulp blanks are affected by gold contained in the preceding samples.
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Eleven of the 58 analyses of coarse blanks were reported to contain detectable gold, with the highest reported grade being 0.0003 oz Au/ton. Figure 12-15 shows that blanks following relatively high-grade samples are more likely to have gold analyses exceeding the detection limit. The correlation coefficient between the blanks and the preceding samples is a statistically significant 0.5. This suggests low-level contamination of samples from preceding high-grade samples through the crushing and grinding process in the laboratory. The degree of contamination is not significant, as none of the analyses that returned detectable gold qualify as failures, and the negligible magnitude of demonstrated contamination does not reduce confidence in gold analyses used for a mineral resource estimate.
Figure 12-14: Gold in Pulp Blanks and in Preceding Samples - 2017 – 2018
Figure 12-15: Gold in Coarse Blanks and in Preceding Samples - 2017 – 2018
12.6.4.3 | Blanks - Silver Analyses |
Pulp Blanks
The QA/QC data for silver include 646 analyses of pulp blanks, analysed with batches of samples from the 2014 through 2018 drill campaigns. The results are summarized in Table 12-30, and do not suggest there is systematic contamination during the analytical process.
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Table 12-30: Results of Silver Analyses of Pulp Blanks
Analytical Result | Count of Analyses |
below detection limit of 0.0292 oz Ag/ton | 632 |
at detection limit of 0.0292 oz Ag/ton | 13 |
0.0583 oz Ag/ton | 1 |
Coarse Blanks
Data for 15 silver analyses of coarse blanks are included in the QA/QC package that MDA received from Gold Standard. One was from a series of samples in a 2014 drill hole, which was analysed using Bureau Veritas’ method MA401 with a detection limit of 0.0292 oz Ag/ton and returned a result below the detection limit.
The other 14 coarse blanks were submitted with 2018 core holes. The analytical method used was Bureau Veritas’ AQ250, having a detection limit of 0.0001 oz Ag/ton. All samples returned results above the lower detection limit in the range 0.0001 to 0.0008 oz Ag/ton. The warning limit for these is 0.0005 oz Ag/ton, however, the assays above this limit indicate the magnitude of contamination during sample preparation is negligible. There was no statistically meaningful correlation between results for the blank and preceding sample analyses.
In 2018, four core holes were drilled into the Pinion deposit to obtain material for metallurgical testing. These four holes were twins of previously drilled RC holes. A comparison of length and grade of the intersected mineralization was made between these four sets of twin holes. For the 564 ft of drilling in the mineralized zones, the grade was 21% higher in the core holes (Table 12-31). A histogram of the two sets of data shows more low-grade samples in the four RC holes (Figure 12-16).
Table 12-31: Summary of Pinion Twin Hole Results
| RC Holes | Diff. | Core Holes | Units |
Count | 185 | | 120 | |
Length | 564 | 0% | 566 | ft |
Grade | 0.014 | 21% | 0.017 | oz Au/ton |
Metal | 8.1 | 21% | 9.8 | ft x (oz Au/ton) |
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Figure 12-16: Histogram of 2018 Twin Drill-Hole Samples
12.6.6 | Pinion Drill Program QA/QC on Barite |
Because metallurgical investigation potentially indicated that the quantity of barite affects gold recovery, Gold Standard began a program to obtain barium analyses. Consequently, the quality of the barium analyses used to model barium domains in the Pinion deposit was assessed.
Initial barium analyses by ICP methods with two-acid digestion have been shown to be incorrect at grades above ~0.1% to ~0.2%. Subsequent barium analyses were done at AAL on existing pulps using a pressed-powder XRF-ED analysis (method Ba ED-XRF E5 with a lower detection limit of 0.003% Ba). There were 938 barium assays performed at AAL using this method. In addition, 21,747 loose-powder NITON XRF measurements of barium were done on drill-sample pulps by independent contractor Rangefront Geological.
A total of 4,235 duplicate readings of barium content by the NITON XRF instrument were also taken by independent contractor Rangefront Geological. MDA compared 4,091 of these duplicate loose-powder NITON XRF readings to determine variability of results. Seventeen pairs were determined to be extreme outliers and removed from the calculations. No significant biases were noted, and reproducibility was shown to be just over 10%.
For comparison to the Gold Standard loose-powder NITON XRF data, only 32 sample pulps were analyzed at AAL by a) ICP following a two-acid digestion, by b) ICP following a five-acid digestion, c) loose-powder NITON-XRF, d) pressed-powder XRF-ED, and e) XRF-WD (lithium metaborate fusion). The two-acid ICP analyses were 95% lower than the loose-powder NITON-XRF measurements, and the five-acid ICP analyses were 91% lower. The pressed- powder XRF-ED and XRF-WD analyses were 86% and 87% higher than the corresponding loose-powder NITON-XRF measurements, respectively. While 32 samples are not a statistically significant data set, the results do indicate good correlation with the XRF-ED analyses with a slope to the regression line of 0.55. The XRF-ED analyses are being applied in the metallurgical test work (see Section 13.1).
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12.6.7 | Pinion Drill Program QA/QC - 2019-2020 |
Five CRMs were used during the 2019 and 2020 drill campaigns, and a total of 469 CRM analyses were obtained. With an insertion rate of about 1.2% for standards, 1.8% for blanks, and 0.8% for duplicates, a total insertion rate of 3.8% was maintained throughout the two drill campaigns. The laboratories used were Bureau Veritas, from January 2019 to October 2020, and Paragon Geochemical, from September 2020 to December 2020, with little overlap. For this reason, all standards were plotted across labs. A summary of the results of CRM analyses is shown in Table 12-32. There were 11 failures in the gold standards (Table 12-33). It is not known if any action was taken as a result of these failures.
Table 12-32: Summary of Pinion Results for Certified Reference Materials, Gold, 2019-2020
CRM ID | Grades in oz Au/ton | Count | Dates Used | Failure Counts | Bias pct |
Target | Average | Max | Min | First | Last | High | Low |
MEG-Au.12.11 | 0.0427 | 0.0434 | 0.0462 | 0.0400 | 18 | 12-Dec-18 | 10-Dec-19 | 0 | 0 | 1.60 |
MEG-Au.17.05 | 0.0015 | 0.0015 | 0.0020 | 0.0010 | 130 | 18-Feb-20 | 1-Mar-21 | 1 | 4 | 0.0 |
MEG-Au.17.06 | 0.0028 | 0.0030 | 0.0034 | 0.0027 | 22 | 12-Dec-18 | 10-Dec-20 | 1 | 0 | 7.10 |
MEG-Au.17.07 | 0.0055 | 0.0057 | 0.0067 | 0.0048 | 167 | 12-Dec-18 | 1-Mar-21 | 2 | 0 | 3.60 |
MEG-Au.19.11 | 0.0368 | 0.0370 | 0.0398 | 0.0347 | 132 | 9-Jul-20 | 1-Mar-21 | 3 | 0 | 0.50 |
TOTALS | | | | | | | | | | |
5 | | | | | 469 | | | 7 | 4 | |
Table 12-33: List of Pinion Failed Certified Reference Material Assays, Gold, 2019-2020
| | | Values in opt Au |
CRM ID | Laboratory | Sample ID | Target | Fail Type High/Low | Fail Limit | Failed Value |
MEG Au.17.05 | Paragon | PC20-10 107-112-A11 | 0.00152 | low | 0.00117 | 0.0011 |
MEG Au.17.05 | Bureau Veritas | PR20-31 245-250-A11 | 0.00152 | low | 0.00117 | 0.0010 |
MEG Au.17.05 | Paragon | PR20-54 45-50-A11 | 0.00152 | low | 0.00117 | 0.0008 |
MEG-Au.17.06 | Bureau Veritas | PC19-12 367-372-L1 | 0.00283 | high | 0.00344 | 0.0034 |
MEG-Au.17.07 | Bureau Veritas | PC18-29 218-223-A12 | 0.00548 | high | 0.00645 | 0.0065 |
MEG-Au.17.07 | Bureau Veritas | PC19-07 37-42-A12 | 0.00548 | high | 0.00645 | 0.0067 |
MEG-Au.19.11 | Paragon | LT20-10 245-250-A13 | 0.03684 | high | 0.03938 | 0.0397 |
MEG-Au.19.11 | Bureau Veritas | PR20-22 445-450-A13 | 0.03684 | high | 0.03938 | 0.0398 |
MEG-Au.19.11 | Bureau Veritas | PR20-24 45-50-A13 | 0.03684 | high | 0.03938 | 0.0397 |
MEG-Au.19.11 | Paragon | PR20-58 445-450-A13 | 0.03684 | High | 0.03938 | 0.0398 |
Silver analyses were pulp re-runs from the 2014 to 2018 drilling, and were done for silver modeling on uncomposited intervals. Two certified reference materials were used for the 2019 to 2020 drill program. A summary of these standard analyses is shown in Table 12-34. Descriptions of the seven failures for MEG-Au.11.29 are given in Table 12-35.
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Table 12-34: Summary of Pinion Results for Certified Reference Materials, Silver, 2019-20
Standard ID | Grades in oz Ag/ton | Count | Dates Used | Failure Counts | Bias pct |
Target | Average | Max | Min | First | Last | High | Low |
MEG-Au.11.29 | 0.3908 | 0.4016 | 0.5833 | 0.0583 | 240 | 27-Apr-18 | 18-Apr-19 | 7 | 0 | 2.8 |
MEG-Au.13.03 | 0.1313 | 0.1410 | 0.175 | 0.0583 | 96 | 4-Apr-19 | 5-May-19 | 0 | 0 | 7.4 |
TOTALS | | | | | | | | | | |
2 | | | | | 336 | | | 7 | 0 | |
Table 12-35: List of Pinion Failed Certified Reference Material Assays, Silver, 2019-20
| | | Values in oz Ag/ton |
Standard ID | Laboratory | Sample ID | Target | Fail Type High/Low | Fail Limit | Failed Value |
MEG-Au.11.29 | Bureau Veritas | PIN14-07 645-650- S2 | 0.39083 | high | 0.46958 | 0.5542 |
MEG-Au.11.29 | Bureau Veritas | PIN15-09 1845- 1850-S2 | 0.39083 | high | 0.46958 | 0.5250 |
MEG-Au.11.29 | Bureau Veritas | PIN15-19 245-250- S2 | 0.39083 | high | 0.46958 | 0.5833 |
MEG-Au.11.29 | Bureau Veritas | PIN16-19 245-250- S2 | 0.39083 | high | 0.46958 | 0.5833 |
MEG-Au.11.29 | Bureau Veritas | PR18-01 245-250-S2 | 0.39083 | high | 0.46958 | 0.4958 |
MEG-Au.11.29 | Bureau Veritas | PR18-52 245-250-S2 | 0.39083 | high | 0.46958 | 0.5833 |
MEG-Au.11.29 | Bureau Veritas | PR18-80 245-250-S2 | 0.39083 | high | 0.46958 | 0.5833 |
Gold cyanide shaker-test analyses were performed on selected samples throughout the 2019-20 drilling programs. Both Bureau Veritas and Paragon Geochemical provided the analyses. Since no certified gold cyanide CRMs were obtained (and may not exist), the data was evaluated using means and standard deviations derived from the analyses. This provides a measure of the consistency of the assaying, not the accuracy relative to a certified CRM grade. Results of the evaluated gold cyanide data from CRMs is presented in Table 12-36. As expected with the applied methodology, only three samples exceeded the Mean +/- 3 Standard Deviations limits. The three failures, two from Paragon and one from Bureau Veritas, are listed in Table 12-37.
Table 12-36: Summary of Pinion Results for Certified Reference Materials, AuCN, 2019-2020
Standard ID | AuCN Grades in oz Au/ton | Count | Dates Used | Failure Counts |
Average | Max | Min | | First | Last | High | Low |
MEG-Au.12.11 | 0.034 | 0.0403 | 0.0283 | 18 | 19-Dec-18 | 10-Dec-19 | 0 | 0 |
MEG-Au.17.06 | 0.0024 | 0.0032 | 0.0012 | 12 | 24-Dec-18 | 10-Dec-19 | 0 | 0 |
MEG-Au.17.07 | 0.0024 | 0.0056 | 0.0009 | 149 | 19-Dec-18 | 01-Mar-21 | 2 | 0 |
MEG-Au.19.11 | 0.0357 | 0.0403 | 0.0143 | 117 | 9-Jul-20 | 01-Mar-21 | 0 | 1 |
| | | | | | | | |
TOTALS | | | | | | | | |
4 | | | | 296 | | | 2 | 1 |
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Table 12-37: List of Pinion Failed Certified Reference Materials, AuCN, 2019-2020
| | | AuCN Values in oz Au/ton |
Standard ID | Laboratory | Sample ID | Average | Fail Type High/Low | Fail Limit | Failed Value |
MEG-Au.17.07 | Paragon | LT20-03 45-50-A12 | 0.00548 | high | 0.00516 | 0.00530 |
MEG-Au.17.07 | Paragon | LT20-05 45-50-A12 | 0.00548 | high | 0.00516 | 0.00560 |
MEG-Au.19.11 | Bureau Veritas | PC20-03 408.1-410-A13 | 0.03684 | low | 0.0357 | 0.0143 |
In both 2019 and 2020, Gold Standard collected field duplicates at intervals of 100 feet, which resulted in an average of about six duplicates per hole. A total of 713 field duplicates were taken, the results of which are summarized in Table 12-38. All original and duplicate samples in 2019 and 2020 were analyzed by the same lab. After excluding two outlier pairs where the absolute relative percent difference was great than 2000 percent, the regression line nearly coincides with the y=x line (Figure 12-17).
Table 12-38: Summary of Results for Pinion Au Field Duplicates (2019-20)
Type | Period | Counts | RMA Regression | Averages as Percent |
All | Used | Outliers | (y = dup, x = orig) | Rel Pct Diff | Abs Rel Pct Diff |
Field Dup | 2019 - 2020 | 713 | 711 | 2 | y = 0.989x - 0.0002 | -2.05 | 21.8 |
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Figure 12-17: Gold Duplicate vs. Original
The relative percent difference chart shows more variability at the lower grades, and a negative bias (original assay grade > duplicate assay grade) at higher grades for both labs (Figure 12-18). No excessive variability or bias was indicated by the evaluation.
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Figure 12-18: Relative Percent Difference for Gold - Duplicate vs. Original
12.6.7.3 | Silver Duplicates |
Pulps for field duplicates were assayed at Bureau Veritas for silver during the silver re-assay program. In total, 444 duplicates analyses were obtained. MDA’s evaluation of these duplicates revealed no issues that would suggest excessive variability or bias. Table 12-39 summarizes the results for these duplicate analyses.
Table 12-39: Summary of Results for Pinion Ag Field Duplicates (2019-20)
Type | Period | Counts | RMA Regression | Averages as Percent |
All | Used | Outliers | (y = dup, x = orig) | Rel Pct Diff | Abs Rel Pct Diff |
Field Dup | 2019 - 2020 | 444 | 444 | 0 | y = 0.8671x + 0.0062 | -1.48 | 7.63 |
During the 2019 to 2020 drill campaign, three certified pulp blanks from MEG were used. As previously noted, pulp blanks test for contamination during analysis, not during crushing and pulverization of the samples. The detection limits for gold are <0.000029 oz Au/ton at Bureau Veritas and 0.000146 oz Au/ton at Paragon Geochemical. Of the 214 Gold blanks analyzed, only one value was above the warning limit (5 times the detection limit). Therefore, no systematic analytical contamination was indicated. The pulp blank analyses are depicted in Figure 12-19, Figure 12-20 and Figure 12-21.
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Figure 12-19: Gold Analyses of Pulp Blank MEG-BLANK.14.03 and Preceding Samples 2019-20
Figure 12-20: Gold Analyses of Pulp Blank MEG-SiBlank.17.10 and Preceding Samples 2020
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Figure 12-21: Gold Analyses of Pulp Blank MEG-SiBlank.17.11 and Preceding Samples 2020
12.6.7.5 | Silver Pulp Blanks |
There were 15 analyses of 668 total silver pulp blanks that returned anomalous detectable silver. The certified pulp blank from MEG is MEG-SiBlank.17.10, and results are shown graphically in Figure 12-22. The detection limit for the associated silver pulp re-runs is unusually high at 0.0292 oz Ag/ton, so the warning limit of 5 times the detection limit is correspondingly high. The consequence is that none of these detectable silver assays in pulp blanks are considered failures. However, the silver grade of the 15 pulps is still well below levels of concern with respect to the modeled silver grades. If there is some minor contamination indicated by the detectible pulp blank assays, the magnitude is very low and would not materially affect the silver resource estimate. The anomalous silver values are detailed in Table 12-40.
Figure 12-22: Silver Analyses of Pulp Blank MEG-SiBlank.17.10 and Preceding Samples 2019-20
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Table 12-40: Anomalous Blank Sample Assays for Silver CRM MEG-SiBlank.17.10
Certificate | Method | Preceding | Blank CRM (MEG-SiBlank.17.10) |
Sample | Value (oz Ag/ton) | Sample | Value (oz Ag/ton) |
EKO19000099 | AA | PIN17-18 145-150 | 0.05833 | PIN17-18 145-150-B3 | 0.02917 |
EKO19000104 | AA | PIN16-03 745-750 | 0.05833 | PIN16-03 745-750-B3 | 0.05833 |
EKO19000125 | AA | PIN16-22 145-150 | 0.01458 | PIN16-22 145-150-B3 | 0.02917 |
EKO19000129 | AA | PIN15-02 145-150 | 0.02917 | PIN15-02 145-150-B3 | 0.02917 |
EKO19000129 | AA | PIN15-02 745-750 | 0.02917 | PIN15-02 745-750-B3 | 0.02917 |
EKO19000166 | AA | PIN14-03 145-150 | 0.01458 | PIN14-03 145-150-B3 | 0.02917 |
EKO19000154 | AA | PIN15-23 545-550 | 0.01458 | PIN15-23 545-550-B3 | 0.02917 |
EKO19000156 | AA | PIN15-24 145-150 | 0.02917 | PIN15-24 145-150-B3 | 0.02917 |
EKO19000203 | AA | PIN14-40 545-550 | 0.05833 | PIN14-40 545-550-B3 | 0.02917 |
EKO19000203 | AA | PIN14-40 745-750 | 0.02917 | PIN14-40 745-750-B3 | 0.02917 |
EKO19000209 | AA | PIN14-46 545-550 | 0.01458 | PIN14-46 545-550-B3 | 0.02917 |
EKO19000206 | AA | PIN14-43 145-150 | 0.02917 | PIN14-43 145-150-B3 | 0.02917 |
EKO19000191 | AA | PIN14-28 145-150 | 0.01458 | PIN14-28 145-150-B3 | 0.02917 |
EKO19000216 | AA | PIN14-53 145-150 | 0.02917 | PIN14-53 145-150-B3 | 0.02917 |
EKO19000218 | AA | PIN14-55 490-495 | 0.01458 | PIN14-55 145-150-B3 | 0.02917 |
12.6.7.6 | Gold Coarse Blanks |
The gold coarse blank material used by Gold Standard was identified as “GSV Marble Blank”. Little or no detectable gold was returned for the 114 samples analyzed. There was no apparent relationship with detectable gold and preceding sample grade, as shown in Figure 12-23. No systematic contamination during sample preparation is indicated by the coarse blank results.
Figure 12-23: Results of Coarse Blank Analyses of Gold
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12.7 | Jasperoid Wash Drill Program QA/QC |
The only QA/QC data available for Jasperoid Wash was from Gold Standard’s drilling campaigns in 2017 and 2018. Table 12-41 summarizes the quantities and results of QA/QC for the Jasperoid Wash drill samples.
Table 12-41: Summary Counts of Jasperoid Wash QA/QC Analyses
QA/QC Type | 2017 | 2018 |
Number CRMs in Use | 2 | 1 |
Number of CRM Analyses | 93 | 93 |
Number of CRM Failures | 1 | 1 |
Field Duplicates | 113 | 153 |
Pulp Blanks | 66 | 75 |
Coarse Blanks | - | 10 |
The analysis of the QA/QC data from Jasperoid Wash for 2017 and 2018 did not reveal significant issues that would preclude use of the associated assays in a mineral resource estimate, or that would reduce the confidence in those assays. The primary issues and recommendations for future drilling programs are as follows:
| ● | In 2017 and 2018, although three CRMs were used, only one was in use at Jasperoid Wash at any given time. The expected values for all three CRMs were either below or very close to a potential mining cutoff grade. For future drilling, it is recommended to use more than one CRM simultaneously, and to use CRMs with a range of expected values that represent grades of economic importance; |
| ● | In addition to field duplicates, the following additional types of duplicates, replicates or check assays are useful, and should be collected, analyzed and evaluated in future drill programs: |
| o | Preparation duplicates, also called coarse crush duplicates, are useful for monitoring for variability in the laboratory’s sample-preparation circuit; |
| o | Analytical duplicates, sometimes called replicates, which are second splits from the original pulp; and |
| o | Check assays done at a different lab than the original assays. |
| ● | Only pulp blanks were used at Jasperoid Wash in 2017. In 2018, pulp blanks and coarse blanks were both used, but the latter were submitted with samples from only one drill hole. Both types of blank analyses are useful, but coarse blanks are more important, in that they are used to test for potential contamination issues in the sample preparation process. Pulp blanks only test for contamination during analysis of the prepared sample. |
12.8 | North Bullion Deposits Drill Program QA/QC |
All QA/QC data for North Railroad drilling, including exploration and within the four deposit areas collectively called the North Bullion deposits, were evaluated together. Approximately 43% of the historical drill holes at North Bullion have paper lab reports/certificates that have been utilized in part to validate the assay database. A number of these lab reports/certificates contain obvious QA/QC data. However, none were in digital format and in many cases are of unknown origin and quality, and therefore were not evaluated for the historical drilling programs. These data should be compiled and evaluated where possible.
Gold Standard incorporated a substantial number of blanks, CRMs and duplicates with assays for exploration and deposit drilling between 2010 and 2020 at the North Bullion deposit. There has been much less umpire assaying/sampling conducted with North Bullion, Sweet Hollow, POD and South Lodes mineral resource drilling, primarily because the majority of the drilling is pre-Gold Standard. For all drilling campaigns, it is not known if failed assay batches associated with QA/QC failures were re-assayed and replaced in the database used for mineral resource estimation.
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12.8.1 | North Bullion Drill Program QA/QC CRMs (Standards) |
MDA reviewed the results obtained from the analyses of CRMs inserted by Gold Standard for the period 2010 through 2020 in their entirety, rather than by subsets of the data by deposit, campaign or year. During the period, 22 different CRMs were in use, and all were obtained from MEG. Most individual CRMs were in use for periods of one to four years, but some were used as early as 2010 and as late as 2020. The target or expected grades for the CRMs range from a low of 0.0011 oz Au/ton to a high of 0.1065 oz Au/ton. The certified values of the CRMs are expressed in units of ppm Au, but MDA has converted them to oz Au/ton in order to be consistent with units used throughout this technical report. Full sets of charts and statistics have been prepared using both grade units and compared, to ensure that no inadvertent errors were introduced during the conversion.
Ideally, the CRMs used should adequately represent the grade ranges in the deposit. Laboratories may perform differently at higher grades than at lower grades despite the application of the same analytical method. Low grade, mid-grade and high-grade gold mineral domains were modeled at North Bullion. The expected or target grades of the CRMs were summarized with respect to these mineral domains. Comparisons are illustrated in Figure 12-24 and Figure 12-25.
In Figure 12-24 the number of analyses of each CRM are indicated, sorted by expected grade and colored by mineral domain. The expected grades of the CRMs are well-distributed across the three mineral domains, whereas the numbers of analyses are more unevenly distributed. The largest number of the analyses of CRMs fall into the low-grade domain, the next largest number in the high-grade domain, and the fewest in the mid-grade domain. The lesser number of CRMs in the mid-grade domain is due to the relatively narrow grade range of the domain within which there are fewer CRM expected grades.
Figure 12-24: Counts of CRM Analyses by Mineral Domain
In Figure 12-25, the CRMs are plotted by time and expected grade and colored by mineral domain. Over the full-time span of the Gold Standard drilling, there is a good distribution of CRMs, but during some periods of time, one or more of the grade ranges were not represented by CRMs. For example:
| ● | in campaigns before April 2012, high-grade CRMs were absent. |
| ● | between April 2012 and December 2013, mid-grade CRMs were not in use. |
| ● | during the 2017 campaign, only low-grade CRMs were in use. |
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Figure 12-25: Timeline of CRMs in Use
Control charts were prepared for each of the 22 CRMs, using Excel™ with the add-in “SPC (‘Statistical Process Control’) for Excel™”. Only one control chart is presented in this report, to illustrate the method, which is given for MEG-Au.11.19, a CRM that was used in 2012 and 2013, in Figure 12-26. Notes below the figure explain the lines and colors on the chart.
Figure 12-26: Gold in MEG-Au.11.19
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Using MDA’s criterion for designating failures, analyses falling at or above/below the upper/lower specification limits (magenta lines on Figure 12-26), there are three failures evident, two high and one low. MDA speculates but cannot prove that the low failure may be due to a mis-labeled CRM. The software has highlighted two periods, one in September-October 2012 and the other in September 2013, during which the laboratory was consistently reporting below average results for this CRM. The overall average value obtained for analyses of this CRM almost exactly matched the expected or target value, and the dispersion of results was less than that described in the specifications for the CRM. Overall, the performance of the laboratory on analyses of this CRM was acceptable, with a 1.4% failure rate.
Control charts like in Figure 12-26 were created to evaluate all the CRMs in the analytical data set for North Bullion. The results of these analyses are summarized in Table 12-42. The last column in Table 12-42 shows the biases obtained from the analyses of each CRM, which are calculated as:
A group of analyses of a CRM by any lab will almost always show some bias relative to the target value. With the exception of the 10.5% low bias obtained for MEG-S107022X, the biases listed in Table 12-42 are within a range that is typical for analyses of CRMs, and do not indicate excessive assay variability. Given that there are only nine analyses of MEG-S107022X, the large, calculated bias is not yet considered to indicate a potential issue at the lab. However, if a low bias persists in future analyses of this CRM, it should be investigated. In general, the stronger biases tend to be associated with CRMs having relatively few analyses, whereas those with large numbers of analyses tend to have smaller biases, suggesting that statistical support is a factor in the calculated biases.
| 1 | The reported biases are based on the grades originally reported in ppm Au. |
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Two CRMs, MEG-Au.10.04 and MEG-S107007X, are listed twice in Table 12-42, once with the suffix “EL” and once with the suffix “EKO”, which were analyzed at ALS and Bureau Veritas or its antecedents, respectively. Most of Gold Standard’s samples have been analyzed by ALS, but a significant number were analyzed by Bureau Veritas. When a given CRM has a significant number of analyses from both laboratories, it is an opportunity to evaluate and compare the performance of each laboratory. CRM statistical tests2 were used to determine if the two labs produced results that were meaningfully different. The results were found to be meaningfully different only for MEG-Au.10.04 and MEG- S107007X, and are listed separately in Table 12-42.
Eleven high and seven low failures are indicated in Table 12-42, for a total calculated failure rate of about 1%. Details of the failures are listed in Table 12-43. No information as to actions that Gold Standard may have taken in response to these failures is available. In the comments in Table 12-43, MDA speculates that some of the failures may be due to mis-labeled CRM numbers, although this possibility cannot be investigated.
The results obtained for the CRM analyses employed by Gold Standard do not indicate any systemic analytical or sample-handling issues that would preclude the use of the associated sample analyses in a resource estimate.
| 2 | “t” tests for small data sets and “z” tests for larger ones. These are standard statistical tests used to determine if the means of two data sets are meaningfully different. |
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Table 12-42: Summary of Results Obtained for CRMs
CRM ID | Grades (oz Au/ton) | Count | Dates | Failure Counts | Bias pct |
Target | Average | Maximum | Minimum | Start | End | High | Low |
MEG-Au.09.01 | 0.0200 | 0.0190 | 0.0211 | 0.0178 | 10 | 8-Sep-10 | 4-Mar-12 | 0 | 0 | -5.0 |
MEG-Au.09.02 | 0.00537 | 0.00513 | 0.00583 | 0.00449 | 48 | 31-Oct-10 | 24-Sep-12 | 0 | 0 | -4.4 |
MEG-Au.09.04 | 0.0991 | 0.1045 | 0.1234 | 0.0963 | 6 | 26-Apr-12 | 18-Jun-12 | 1 | 0 | 5.5 |
MEG-Au.10.02 | 0.00105 | 0.00102 | 0.00130 | 0.00080 | 374 | 31-Oct-10 | 27-Jul-20 | 0 | 0 | -2.8 |
MEG-Au.10.04 EL | 0.0023 | 0.0024 | 0.0035 | 0.0006 | 370 | 31-Oct-10 | 27-Jul-20 | 2 | 1 | 2.5 |
MEG-Au.10.04 EKO | 0.0023 | 0.0023 | 0.0026 | 0.0020 | 55 | 12-Aug-16 | 23-Oct-17 | 0 | 0 | 0.0 |
MEG-Au.11.15 | 0.1005 | 0.1070 | 0.1270 | 0.0870 | 26 | 29-May-12 | 24-Oct-13 | 4 | 1 | 6.2 |
MEG-Au.11.17 | 0.0786 | 0.0812 | 0.0880 | 0.0739 | 57 | 12-Jun-16 | 16-Dec-16 | 0 | 0 | 3.4 |
MEG-Au.11.19 | 0.0035 | 0.0035 | 0.0048 | 0.0009 | 220 | 26-May-12 | 24-Dec-13 | 2 | 1 | -0.8 |
MEG-Au.11.29 | 0.1065 | 0.1100 | 0.1340 | 0.0750 | 93 | 6-Sep-12 | 3-Aug-16 | 0 | 1 | 3.3 |
MEG-Au.11.34 | 0.0616 | 0.0636 | 0.1943 | 0.0564 | 10 | 24-Sep-14 | 21-Oct-14 | 2 | 0 | 3.2 |
MEG-Au.12.11 | 0.0427 | 0.0445 | 0.0468 | 0.0418 | 27 | 22-Sep-16 | 26-Oct-19 | 0 | 0 | 4.1 |
MEG-Au.12.21 | 0.0042 | 0.0040 | 0.0043 | 0.0037 | 51 | 14-Nov-17 | 4-Jan-18 | 0 | 0 | -4.9 |
MEG-Au.13.02 | 0.0218 | 0.0221 | 0.0232 | 0.0210 | 69 | 24-Sep-14 | 27-Jul-20 | 0 | 0 | 1.7 |
MEG-Au.17.06 | 0.0029 | 0.0030 | 0.0032 | 0.0027 | 5 | 2-Oct-19 | 26-Oct-19 | 0 | 0 | 4.1 |
MEG-Au.17.07 | 0.0055 | 0.0058 | 0.0059 | 0.0057 | 5 | 2-Oct-19 | 26-Oct-19 | 0 | 0 | 5.9 |
MEG-S107005X | 0.0392 | 0.0396 | 0.0454 | 0.0004 | 200 | 26-Apr-12 | 24-Sep-14 | 0 | 2 | 1.2 |
MEG-S107007X EL | 0.0445 | 0.0457 | 0.0468 | 0.0369 | 29 | 24-Sep-14 | 27-Jul-20 | 0 | 1 | 2.6 |
MEG-S107007X EKO | 0.0445 | 0.0465 | 0.0494 | 0.0449 | 12 | 22-Jul-16 | 5-Aug-16 | 0 | 0 | 4.5 |
MEG-S107020X | 0.0093 | 0.0091 | 0.0096 | 0.0084 | 9 | 8-Sep-10 | 19-Nov-10 | 0 | 0 | -2.8 |
MEG-S107022X | 0.0022 | 0.0020 | 0.0023 | 0.0018 | 9 | 8-Sep-10 | 16-Nov-10 | 0 | 0 | -10.5 |
| | | | | | | | | | |
Sum or Count | | | | | 1,685 | | | 11 | 7 | |
Percent | | | | | 100 | | | 0.65 | 0.42 | |
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Table 12-43: List of Failed Analyses of CRMs
CRM ID | Sample ID | Target for Std | Fail Type | Fail Limit | Failed Value | Comment |
High/Low |
MEG-Au.09.04 | RR12-05 1524A | 0.0991 | high | 0.1169 | 0.1234 | |
MEG-Au.10.04 | RR11-13 1645A | 0.0023 | high | 0.0029 | 0.0035 | mix-up with MEG-Au.11.19 ? |
MEG-Au.10.04 | RR12-19 1808A | 0.0023 | low | 0.0017 | 0.0006 | |
MEG-Au.10.04 | RR17-02 1090-1100-A2 | 0.0023 | high | 0.0029 | 0.003 | rounding issue? |
MEG-Au.11.15 | RR12-05 1072A | 0.1005 | high | 0.112 | 0.127 | |
MEG-Au.11.15 | RR12-04 1332A | 0.1005 | low | 0.089 | 0.087 | |
MEG-Au.11.15 | RR12-08 1015A | 0.1005 | high | 0.112 | 0.118 | |
MEG-Au.11.15 | RR12-09 1187A | 0.1005 | high | 0.112 | 0.113 | |
MEG-Au.11.15 | RR12-08 1845A | 0.1005 | high | 0.112 | 0.116 | |
MEG-Au.11.19 | RR12-10 694A | 0.0035 | high | 0.00464 | 0.00478 | |
MEG-Au.11.19 | RR12-30 1092A | 0.0035 | low | 0.00236 | 0.00085 | sample mix-up? |
MEG-Au.11.19 | RRB13-03 116A | 0.0035 | high | 0.00464 | 0.00467 | |
MEG-Au.11.29 | RR13-01 1840A | 0.1065 | low | 0.0786 | 0.075 | mix-up with MEG-Au.11.17? |
MEG-Au.11.34 | RRB14-01 850A | 0.0616 | high | 0.0767 | 0.0992 | mix-up with MEG-Au.11.15? |
MEG-Au.11.34 | RRB14-01 250A | 0.0616 | high | 0.0767 | 0.1943 | sample mix-up? |
MEG-S107005X | RR12-07 936.5A | 0.0392 | low | 0.03173 | 0.02806 | |
MEG-S107005X | RR10-15 1698A | 0.0392 | low | 0.03173 | 0.00044 | sample mix-up? |
MEG-S107007X | RR16-05 700A | 0.0445 | low | 0.03857 | 0.0369 | mix-up with MEG-S107005X? |
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12.8.2 | North Bullion Drill Program QA/QC Field and Laboratory Duplicates |
Gold Standard routinely collects field duplicates and has provided MDA with analytical results for the various campaigns in the period 2010 – 2019. MDA does not have a comparable data set for any other types of duplicates from Gold Standard covering a similar time span. However, assay certificates from Bureau Veritas contain data for the laboratory’s internal QA/QC, including preparation duplicates (also called coarse crush duplicates) and pulp duplicates. The internal lab QA/QC data associated with assays performed by Bureau Veritas in 2016, 2017 and a few in 2019 has been compiled and evaluated by MDA.
For each of the three sets of duplicates, three types of charts were prepared:
| ● | A scatterplot, showing a reduced major axis (“RMA”) regression, |
| ● | A quantile/quantile (“QQ”) plot, and |
| ● | Several relative difference plots (see explanation below, and for Figure 12-27 and Figure 12-28). |
Relative difference is expressed as a percentage for each duplicate pair calculated as follows:
An alternative calculation, which MDA also uses but does not include in Table 12-44, is:
Figure 12-27 and Figure 12-28 are examples of relative difference plots based on Equation 2, which depict gold in preparation duplicates. The above equations produce negative values that plot below the “0” line on the charts when the original assay is greater than the duplicate assay. In Figure 12-27 all data are used, and a number of pairs with extreme relative differences (outliers) are evident. The underlying statistics for the relationships between original and duplicate samples can be skewed by a few such outliers, obscuring underlying relationships prevailing in most of the data. For the statistics presented in this discussion, the most extreme outliers apparent on plots such as Figure 12-27 were removed. Figure 12-28 is a plot of the same data, but with ten outliers removed. The statistics presented in Table 12-44 are based on data sets with outliers removed.
Although outlier assays are removed for calculating statistics, they are important to consider. Duplicate sample pairs of analyses are expected to be similar, but in the case of outliers, the assays are radically different. Efforts should be made to understand the causes for outliers, particularly when a large number occur, which could indicate extreme and undesirable assay variability produced by the lab, or an inherent nugget effect in the deposit.
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Figure 12-27 Relative Percent Difference - Gold in Preparation Duplicates
(showing all data)
Figure 12-28 Relative Percent Difference - Gold in Preparation Duplicates
(outliers removed from data)
Table 12-44 summarizes the results for the field, preparation and pulp duplicate analyses. The averages of the relative differences listed in Table 12-44 are based on Equation 2 and provide indications of the biases between duplicate and the original assays. The “Abs Rel Pct Diff” is the average of the absolute relative differences and gives an indication of the degree of variability between duplicates and originals.
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The field duplicates and the preparation duplicates show similar variability, as expressed by the absolute relative differences. The pulp duplicates show the least variability, as is expected.
The field duplicates exhibit a bias compared to the original field samples of +5%, as expressed by the relative differences. The cause for the overall bias is not known. Smaller positive biases are present in the preparation and pulp duplicates.
In Table 12-44 there are three rows for each of the preparation and pulp duplicates. In each case the first row is for the complete data set, followed by rows for lower-grade and higher-grade subsets. In the case of the preparation duplicates, Figure 12-28 shows that for grades up to about 0.0007 oz Au/ton, the variability appears to be significantly greater than at higher grades. A similar difference between lower and higher grades is evident on the equivalent plot (not shown) for the pulp duplicates. As expected, the lower grade subsets show greater variability than at higher- grades, as expressed by the absolute relative differences.
In addition to the relative differences, there are two other methods for expressing the relationship between the original and duplicate samples. These are RMA regression equations and Pearson correlation coefficients, which are also given in Table 12-44. A paired-sample t-Test was also run for each data set, and can be used to qualify differences in the means. Results of the t-Tests are not given in Table 12-44, but in all cases indicate that the original and duplicate assay sets likely belong to similar populations.
The magnitude of variability and bias noted in the duplicate data are typical for exploration data sets associated with gold deposits. Results do not preclude the use of Gold Standard’s assay data for the North Bullion gold resource estimate.
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Table 12-44: Summary of Results for Duplicates
Type of Duplicate | Period | Counts | RMA Regression (y = dup, x = orig) | Grade Avgs. oz Au/ton | Averages as Percent | Correlation Coefficients |
Start Date | End Date | All | Used | Outliers | Originals | Duplicates | Rel Pct Diff | Abs Rel Pct Dif |
Field Dup | 8-Sep-10 | 26-Oct-19 | 369 | 355 | 14 | y = 1.043x - 0.002 | 0.00502 | 0.00516 | 5.0 | 26.9 | 0.97 |
Preparation Dup | 22-Jul-16 | 26-Oct-19 | 136 | 126 | 10 | y = 0.951x + 0.001 | 0.00058 | 0.00058 | 0.5 | 28.6 | 0.95 |
Preparation Dup < 0.0007 | 22-Jul-16 | 26-Oct-19 | 136 | 102 | 10 | y = 0.833x + 0.001 | 0.00023 | 0.00023 | 0.3 | 32.1 | 0.78 |
Preparation Dup ≥ 0.0007 | 22-Jul-16 | 26-Oct-19 | 136 | 24 | 10 | y = 0.946x + 0.004 | 0.00207 | 0.00207 | 1.2 | 13.4 | 0.97 |
Pulp Dup | 22-Jul-16 | 26-Oct-19 | 179 | 169 | 10 | y = 1.02x + 0 | 0.00347 | 0.00353 | 2.0 | 16.9 | 0.79 |
Pulp Dup < 0.0007 | 22-Jul-16 | 26-Oct-19 | 179 | 122 | 10 | y = 1x + 0 | 0.00029 | 0.00029 | 2.1 | 20.4 | 0.93 |
Pulp Dup ≥ 0.0007 | 22-Jul-16 | 26-Oct-19 | 179 | 47 | 10 | y = 1.02x + 0 | 0.0117 | 0.0119 | 1.7 | 8.0 | 1.00 |
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12.8.3 | North Bullion Drill Program QA/QC Blanks |
Blanks are samples known to contain negligible quantities of elements of interest and are used to monitor a laboratory to ensure that it is not issuing higher assays than it should. MDA has data for analyses of blanks at North Bullion starting in 2010. Since then, eight different blanks have been used for various periods of time; six commercial pulp blanks supplied by MEG, a blank consisting of unmineralized marble, and one whose nature is unknown. The results are summarized in Table 12-45. Explanations for some of the items listed are in the notes that follow the table.
Table 12-45 Summary of Results for Blanks
Blank ID | Type | Counts | Maximum oz Au/ton | Dates of Analyses |
All | Above Warn | Start | End |
Gold Standard Marble | coarse | 51 | 0 | 0.00061 | 24-Jul-17 | 4-Jan-18 |
MEG-BLANK.11.02 | pulp | 246 | 3 | 0.00114 | 3-Dec-10 | 14-Nov-12 |
MEG-BLANK.12.01 | pulp | 431 | 1 | 0.00125 | 4-Jan-12 | 9-Nov-13 |
MEG-BLANK.12.03 | pulp | 186 | 0 | 0.00047 | 9-Oct-13 | 21-Oct-14 |
MEG-BLANK.14.01 | pulp | 251 | 1 | 0.00166 | 12-Aug-11 | 27-Jul-20 |
MEG-BLANK.14.02 | pulp | 83 | 21 | 0.02205 | 6-Oct-16 | 14-Nov-16 |
MEG-BLANK.14.03 | pulp | 129 | 0 | 0.00023 | 24-Nov-16 | 26-Oct-19 |
Unknown Blank | unknown | 189 | 3 | 0.02333 | 8-Sep-10 | 5-Dec-12 |
| | | | | | |
| Sum | 1,566 | 29 | | | |
| Percent | 100 | 1.9 | | | |
Notes: “Type” indicates coarse blank or pulp blank. Coarse blanks undergo the full sample preparation and analytical process. Pulp blanks are essentially CRMs with no grade that undergo only the analytical process. Coarse blanks are more informative because contamination that might occur in crushing, grinding and pulverizing circuits is tested. “Above Warn” indicates the number of the blanks for which analyses above a warning limit were obtained. For this review, the warning limit is five times the detection limit of the assay methods used by the laboratories. “Maximum” is the highest-grade assay obtained for the blank. |
The results summarized in Table 12-45 indicate the laboratory performance on blank material is generally acceptable with one exception. More than a quarter of the results for MEG-BLANK.14.02 are above the warning limit, and more significantly, above 0.02 oz Au/ton. Because the high gold assays are consistent as a group, MDA suspects that a CRM has been mis-labeled as the blank, although this cannot be verified. It can be noted that for CRM samples analyzed during the same time period, there is no evidence to suggest that analytical errors of a similarly large magnitude occurred.
Analytical data for blanks are presented using “run charts”, which are similar to control charts for CRMs, but do not have statistically derived control limits. A run chart for each of the eight blanks listed in Table 12-45 was prepared, an example of which is shown in Figure 12-29.
In Figure 12-29 two lines representing data are plotted. The thicker dark red line is the blank assays, and the thinner blue line represents assays of samples that immediately precede the blanks in the sample stream. Plotting the two sets of assays together provides a visual impression of the correlation between contamination and preceding high-grade samples, if it exists. In Figure 12-29 there are two cases in which the correlation appears to be established, which might indicate contamination. However, in most of the data plotted on the figure, there is no obvious relationship between the grades of blanks and those of preceding samples, suggesting that if such contamination occurred, it was not systemic and did not affect the majority of analyses in this particular blank.
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Figure 12-29: Gold in Gold Standard Marble Blanks and in Preceding Samples
Results for the Gold Standard marble blank, the only coarse blank in the data set, are given in Figure 12-29. It was in use for only a few months in the latter part of 2017. All the other analyzed blanks of known type are pulps, which are not useful for testing for contamination in the grinding, crushing and pulverizing circuits of the labs. Pulp blanks do serve to test for false high values in the analytical processes.
With the exception of the relatively high-grade analyses associated with MEG-BLANK.14.02, the results returned for the blanks are acceptable, and do not indicate systematic contamination issues. About 0.5% of the analyses of the other seven blanks returned results above the warning limit, and of those, only one analysis of an unknown blank type, was extremely high. The grade of this single high-grade failure is similar to the high values returned for MEG- BLANK.14.02, suggesting it is also a mis-labeled CRM.
12.9 | Summary Statement on Data Verification |
Based on the results of the data verification and QA/QC evaluations, it is Mr. Lindholm’s opinion that the Dark Star, Pinion, and Jasperoid Wash analytical data are adequate for the purposes used in this Technical Report, subject to those samples removed and issues described above. The issues described above have been considered in assigning levels of confidence and the classification of the mineral resources estimated in Section 14.
Data for QA/QC programs applied to drilling campaigns prior to the first work by Gold Standard in 2014 is sparse or absent for Pinion and the North Bullion deposit on the North Bullion property. Available QA/QC data for Jasperoid Wash is limited to 2017 and 2018, and very limited overall for the Sweet Hollow, POD and South Lodes deposits at North Bullion. However, relatively significant quantities of QA/QC data from 1991 and 1997 was evaluated for historical drilling at Dark Star. As a result, confidence in historical data is lower than for Gold Standard drill-hole data, and has been accounted for by reducing resource classification when estimated grades in the block model rely primarily on historical assays.
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SECTION 13 TABLE OF CONTENTS
SECTION | PAGE |
13 | MINERAL PROCESSING AND METALLURGICAL TESTING | 13-1 |
| 13.1 | 2015 – 2016 Gold Standard Pinion Deposit Cyanide Bottle-Roll Leach | 13-3 |
| | 13.1.1 | 2015 – 2016 Pinion Head Assays | 13-3 |
| | 13.1.2 | 2015 – 2016 Pinion Bottle-Roll Test Results | 13-3 |
| 13.2 | 2016 - 2017 Gold Standard Pinion Deposit Metallurgical Testing | 13-5 |
| | 13.2.1 | 2017 Pinion Head Assays | 13-6 |
| | 13.2.2 | 2016 – 2017 Bottle Roll and Column Leach Testing (KCA) | 13-6 |
| | 13.2.3 | 2017 Pinion Comminution Characterization at HRI | 13-8 |
| | 13.2.4 | 2017 Pinion Load Permeability Test Work on Column Tailings | 13-9 |
| 13.3 | 2018 Gold Standard Pinion Deposit High Pressure Grinding Roll (HPGR) Testing | 13-9 |
| | 13.3.1 | 2018 Head Assays Pinion Main Zone HPGR Composite | 13-10 |
| | 13.3.2 | 2018 Pinion Main Zone HPGR Bottle-Roll and Column-Leach Testing | 13-10 |
| | 13.3.3 | 2018 Pinion Main Zone HPGR Agglomeration and Load Permeability Testing | 13-13 |
| 13.4 | 2019 Gold Standard Pinion Deposit Metallurgical Test Work | 13-13 |
| | 13.4.1 | 2019 Pinion Head Assays | 13-14 |
| | 13.4.2 | 2019 Pinion Bottle Roll and Column Leach Testing at KCA | 13-15 |
| | 13.4.3 | 2019 Pinion Comminution Characterization at HRI | 13-17 |
| | 13.4.4 | 2019 Pinion Load Permeability Test Work on Column Tailings | 13-18 |
| 13.5 | 1991 Dark Star Deposit Metallurgical Testing | 13-18 |
| 13.6 | 2017 Gold Standard Dark Star Deposit Metallurgical Testing | 13-19 |
| | 13.6.1 | 2017 Dark Star Head Assays for Bottle-Roll and Column-Leach Tests | 13-19 |
| | 13.6.2 | 2017 Dark Star Bottle-Roll and Column-Leach Tests at KCA | 13-20 |
| | 13.6.3 | 2017 Dark Star Comminution Characterization at HRI | 13-23 |
| | 13.6.4 | 2017 Dark Star Load Permeability Testing | 13-24 |
| 13.7 | 2018 Gold Standard Dark Star HPGR Metallurgical Test Work | 13-24 |
| | 13.7.1 | 2018 Dark Star HPGR Head Assays | 13-25 |
| | 13.7.2 | 2018 Dark Star HPGR Composite Bottle-Roll and Column-Leach Tests | 13-25 |
| | 13.7.3 | 2018 Dark Star Main & North HPGR-Crushed Load Permeability Testing | 13-27 |
| 13.8 | 2019 Gold Standard Dark Star Deposit Metallurgical Test Work | 13-27 |
| | 13.8.1 | 2019 Dark Star Head Assays for Bottle-Roll and Column-Leach Tests | 13-28 |
| | 13.8.2 | 2019 Dark Star Bottle-Roll and Column-Leach Tests at KCA | 13-28 |
| | 13.8.3 | 2019 Dark Star Comminution Characterization at HRI | 13-32 |
| | 13.8.4 | 2019 Dark Star Load Permeability Testing | 13-33 |
| 13.9 | 2020 Gold Standard Pinion Deposit Transition Metallurgical Testing | 13-33 |
| | 13.9.1 | 2020 Pinion Variability Composite Head Assays | 13-35 |
| | 13.9.2 | 2020 Bottle Roll and Column Leach Testing (KCA) | 13-35 |
| 13.10 | Gold Standard 2020 HPGR Feasibility Composites – Pinion and Dark Star Samples Tested by Thyssen-Krupp Industrial Solutions | 13-38 |
| | 13.10.1 | 2020 Thyssen-Krupp testing on Dark Star and Pinion HPGR Feasibility Composites | 13-42 |
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| 13.11 | 2021 KCA DARK STAR AND PINION BOTTLE ROLL, CONVENTIONAL CRUSHED COLUMN AND PILOTWAL HPGR CRUSHED COLUMN LEACH TESTING ON FEASIBILITY COMPOSITES | 13-46 |
| | 13.11.1 | Head Assays | 13-46 |
| | 13.11.2 | 2021 Dark Star and Pinion HPGR Feasibility Composite Bottle-Roll Testing | 13-47 |
| 13.12 | GOLD STANDARD 2021 – PINION PHASE 4/5 MINE EXPANSION VARIABILITY COMPOSITE TESTING | 13-50 |
| | 13.12.1 | 2020 Bottle Roll and Column Leach Testing (KCA) | 13-52 |
| | 13.12.2 | 2021 Bottle Roll and Column Leach Testing (KCA) | 13-53 |
| 13.13 | GEO-METALLURGY CHARACTERIZATION | 13-55 |
| | 13.13.1 | Pinion and Dark Star Geo-Metallurgical Recovery Zones | 13-55 |
| 13.14 | GOLD AND SILVER RECOVERY UPDATE | 13-56 |
| | 13.14.1 | Pinion Gold and Silver Recovery Model Update | 13-57 |
| | 13.14.2 | Dark Star Gold Recovery Model Updat | 13-60 |
| 13.15 | REAGENT CONSUMPTIONS SOUTH RAILROAD PROPERTY | 13-62 |
| | 13.15.1 | Cyanide | 13-62 |
| | 13.15.2 | Lime | 13-63 |
| 13.16 | METALLURGICAL TESTING ON JAPEROID WASH AND NORTH BULLION SAMPLES | 13-63 |
| | 13.16.1 | Jasperoid Wash Deposit Metallurgical Testing | 13-63 |
| | 13.16.2 | North Railroad Deposits Metallurgical Testing | 13-63 |
SECTION 13 LIST OF TABLES
TABLE | DESCRIPTION | PAGE |
Table 13-1: Summary of Metallurgical Tests Prior to Gold Standard Ventures Tests | 13-2 |
Table 13-2: Summary of Nominal Feed P80 for Column and Bottle-Roll Leach Tests | 13-6 |
Table 13-3: Pinion Main Zone HPGR Composite Head Assays | 13-10 |
Table 13-4: 2018 Pinion Main Zone HPGR-Crushed Bottle-Roll Results | 13-10 |
Table 13-5: 2018 Pinion Main Zone HPGR-Crushed Column Leach Test Results | 13-11 |
Table 13-6: Variability Composite Head Assays | 13-35 |
Table 13-7: 2020 Pinion Variability Composite Column and Bottle Roll Leach Test Results | 13-36 |
Table 13-8: Dark Star and Pinion HPGR Feasibility Composites Delivered to TK Industrial Solutions AG | 13-44 |
Table 13-9: ATWAL Abrasion Test Results | 13-44 |
Table 13-10: Summary of MAGRO Semi-industrial Test Results | 13-45 |
Table 13-11: HPGR Feasibility Composite Descriptions | 13-46 |
Table 13-12: Head Assays for Dark Star and Pinion HPGR Feasibility Composites | 13-46 |
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Table 13-13: Dark Star and Pinion: Bottle Roll and Column Leach Test Results | 13-48 |
Table 13-14: Variability Composite Head Assays | 13-52 |
Table 13-15: ROM Pinion Gold and Silver Recovery Equations (Oxide) | 13-57 |
Table 13-16: HPGR Pinion Gold and Silver Recovery Equations (Oxide) | 13-58 |
Table 13-17: ROM Pinion Gold & Silver Recovery Equations (Transition) | 13-59 |
Table 13-18: HPGR Pinion Gold & SILVER Recovery Equations (Transition) | 13-60 |
Table 13-19: ROM and HPGR Dark Star North and Main Gold Recovery Equations (Oxide) | 13-61 |
Table 13-20: ROM and HPGR Dark Star North and Main Gold Recovery Equations (Transition) | 13-62 |
SECTION 13 LIST OF FIGURES
FIGURE | DESCRIPTION | PAGE |
Figure 13-1: Plot of Column P80 (microns) vs. Gold Extraction (%) | 13-1 |
Figure 13-2: Pinion Zone Location Map for 2015 – 2016 Metallurgical Composites | 13-4 |
Figure 13-3: 2016 – 2017 Pinion Metallurgical Core Hole Locations | 13-5 |
Figure 13-4: 2016 – 2017 Gold Extraction vs. Days Under Leach for Column-Leach Tests | 13-8 |
Figure 13-5: Conventional Crush vs. HPGR Gold Extraction Comparison | 13-12 |
Figure 13-6: Conventional Crush vs. HPGR Silver Extraction Comparison | 13-12 |
Figure 13-7: Pinion Deposit Metallurgical Core Location Map | 13-14 |
Figure 13-8: 2019 Pinion Gold Extraction vs. Days under Leach for Column-Leach Tests | 13-17 |
Figure 13-9: RC Drill Hole Locations for the 1991 Dark Star Bottle-Roll Tests | 13-19 |
Figure 13-10: Location Map for 2017 Dark Star Metallurgical Composites | 13-21 |
Figure 13-11: 2017 Dark Star Column-Leach Gold Extraction vs. Days under Leach | 13-23 |
Figure 13-12: 2018 Dark Star Main - Conventional Crush vs. HPGR Gold Extraction | 13-26 |
Figure 13-13: Dark Star North - Conventional Crush vs. HPGR Gold Extraction | 13-27 |
Figure 13-14: Location Map for 2017-8 Dark Star Metallurgical Composites | 13-29 |
Figure 13-15: 2019 Dark Star Column-Leach Gold Extraction vs. Days under Leach | 13-32 |
Figure 13-16: Pinon Metallurgical Core Hole Locations | 13-34 |
Figure 13-17: 2020 Gold Extraction vs. Days under Leach for Conventional and HPGR Column-Leach Tests | 13-37 |
Figure 13-18: Pinion East HPGR Feasibility #1 Core Hole Location Map (Hi Ba and Hi Si low recovery zone) | 13-39 |
Figure 13-19: Pinion West HPGR Feasibility #2 Core Hole Location Map (higher recovery zone) | 13-40 |
Figure 13-20: Dark Star Main HPGR Feasibility #1 Core and Hammer Sample Locations | 13-41 |
Figure 13-21: Dark Star North Feasibility #2 Core Sample Locations | 13-42 |
Figure 13-22: Pinion West Feasibility #2: Feed P80 vs. Au Extraction (%) | 13-49 |
Figure 13-23: Pinion West Feasibility #2: Feed P80 vs. Ag Extraction (%) | 13-50 |
Figure 13-24: Pinion Metallurgical Core Hole Locations | 13-51 |
Figure 13-25: 2021 Example Plot of Conventional Crush vs. HPGR Crush - Au Extraction Curves | 13-54 |
Figure 13-23: Pinion West Feasibility #2: Feed P80 vs. Ag Extraction (%) | 13-50 |
Figure 13-24: Pinion Metallurgical Core Hole Locations | 13-51 |
Figure 13-25: 2021 Example Plot of Conventional Crush vs. HPGR Crush - Au Extraction Curves | 13-54 |
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| 13 | MINERAL PROCESSING AND METALLURGICAL TESTING |
The current study of the South Railroad portion of the Railroad-Pinion property focuses on two main sources of ore: The Pinion and Dark Star deposits. Prior to acquisition of the property by GSV, numerous bottle roll and column leach tests were performed on these deposits using RC cuttings, diamond drill hole samples, and trench samples. A summary of these early tests is presented in Table 13-1.
Column leach tests on Pinion samples attained gold recoveries as high as 69% (trench samples, -¼” crush). In general, bottle roll tests achieved higher maximum gold recoveries: 80.6% for Pinion and 82.2% for Dark Star.
Bottle roll and column leach recoveries for Pinion trench samples were inversely proportional to logarithm of particle size, as shown in Figure 13-1.
Figure 13-1: Plot of Column P80 (microns) vs. Gold Extraction (%)
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Table 13-1: Summary of Metallurgical Tests Prior to Gold Standard Ventures Tests.
Company | Lab and Test | Sample | Time h | P80 (P100) mm | Au Rec % | Ag Rec % | Calc Heads | NaCN lb/t | Lime lb/t | Comments |
oz/t Au | oz/t Ag |
PINION 1994-1995 | | | | | | | | | | |
Cyprus | McClelland | BR | 35 Composite of RC cuttings | | 1.68 | 66.10% | | | | | | Rapid reaction, low CN, moderate lime |
| 0.21 | 60.6 - 68 | | | | | | |
| 0.074 | 3.8% Incr | | | | | | Fine grind had little effect |
COL | 880 kg bulk surface samples | | (-2” & -3/4”) | 52.8 - 61.5 | | | | | | |
BR | 880 kg bulk surface samples | | (-1/2”-100 mesh) | 55.9- 80.6 | | | | | | |
PINION 2004 | | | | | | | | | | |
RSM | KCA | BR | 5 trench samples | 72 | 0.075 | 78% | 54% | 0.048 | 0.670 | 0.63 | 4 | |
COL | 5 trench samples | | 0.53 " (-1.5") | 57% | 31% | 0.046 | 0.29 | 1.35 | 2 | |
| 0.35" (-0.5") | 59% | 33% | 0.049 | 0.42 | 1.08 | 2 | |
| 0.04 (-0.25) | 69% | 62% | 0.048 | 0.37 | 1.88 | 2 | |
DARK STAR 1991 | | | | | | | | | | |
Crown | McClelland | BR | 158 RC cuttings (1.52 m drill intervals), 8 comps | 96 | 59.8% -10 mesh | 82.2 | | 0.011- 0.043 | | 0.27 | 10.5 | most of Au leached after 24 h |
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13.1 | 2015 – 2016 Gold Standard Pinion Deposit Cyanide Bottle-Roll Leach |
Gold Standard commissioned three related bottle-roll test programs at KCA on a large number of samples extracted from composites made from Pinion drill intervals. The results were documented in three separate reports as follows: KCA (2016a), KCA (2016b), and KCA (2016c).
KCA (2016c) documented test results for 90 RC variability composites and KCA (2016b) reported results for 10 of the original 90 composites that were selected for re-run cyanide bottle-roll leach testing due to insufficient leach time. KCA (2016a) reported results on an additional 12 RC variability composites. Composites consisted of mostly oxide materials with some transition and sulfide samples.
13.1.1 | 2015 – 2016 Pinion Head Assays |
Head assays and geo-metallurgical characterization were obtained for all 90 composites using a combination of three separate laboratories: KCA, ALS, and FL Schmidt (Simmons, 2019, Appendices 1,2, and 3), with the following results:
| · | Gold grade ranged from 0.19 to 4.41 ppm and averaged 0.81 ppm; |
| · | Silver grade ranged from 0.62 to 72.3 ppm and averaged 6.9 ppm; |
| · | Organic carbon (not preg-robbing) ranged from 0.02 to 3.68% and averaged 0.18%; |
| · | Sulfide sulfur ranged from <0.01 to 4.18% (in the sulfide sample) and averaged 0.19%; |
| · | Preg-robbing analysis ranged from -1.70 to 35.2% and averaged 2.2%, which is considered non-preg robbing; |
| · | Copper values by ICP were very low, ranging from 5 to 39 ppm; |
| · | Cyanide solubility of gold ranged from 7.4 to 100% and averaged 78.3%; |
| · | Concentrations of the deleterious elements by ICP were: <5 ppm selenium, mercury ranged from 0.02 to 7.7 ppm, and arsenic was low at 47 to 1,360 ppm and averaged 280 ppm; |
| · | Concentrations of the primary cyanide consumers were low and suggest minimum potential for affecting cyanide-consumption rates. Copper averaged 17 ppm, nickel averaged 22 ppm, and zinc averaged 67 ppm; and |
| · | Silica content ranged from 28.1 to 96.7% by whole-rock analysis and averaged 81.4%. |
13.1.2 | 2015 – 2016 Pinion Bottle-Roll Test Results |
Bottle-roll leach cyanidation testing was conducted on 102 drill-core composites to evaluate the general leachability character of the Pinion geologic mineral resource. By design, these composites are not constrained by any pit shapes and therefore many of the composites may be located outside of any future economic pit limit. Bottle-roll testing was conducted at two targeted particle sizes: 80% passing 1,700 µm (10 mesh) and 80% passing 75 µm (200 mesh). Initially, retention times were 48-hrs for the 75 µm samples and 96-hrs for the 1,700 µm samples. Gold extraction results revealed that a significant number of samples were not completely leached in the allotted time frames.
Obvious under-leached samples were selected for re-leaching. The 75 µm samples were re-leached for 96 hours and the 1,700 µm samples were re-leached for 144 hours. All subsequent bottle-roll testing in a later program, KCA (2016a), were conducted at the longer retention times.
The 1,700 µm bottle-roll testing followed a standard procedure that is described in detail by the final KCA reports (KCA 2016a). The 75 µm bottle-roll procedure was the same as for the 1,700 µm bottle rolls, except the retention time was reduced to 96 hours. Results for the 1,700 µm bottle-roll test and 75 µm bottle-roll procedure are shown in Appendix 4 and 5 from the Metallurgy Report (Simmons, 2019).
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For metallurgical testing, the Pinion mineral resource was divided into 12 zones. These are the Far North Zone (“FNZ”), North Zone North (“NZ-N”), North Zone Central (“NZ-C”), North Zone South (“NZ-S”), Main Zone (“MZ”), South East Central Zone (“SE-CZ”), East Pinion North Zone (“EP-NZ”), SE South Zone (“SE-SZ”), Central South Zone (“C-SZ”), NW South Zone (“NW-SZ”), NW Pinion West Zone (“NWP-WZ”), and the NW Pinion and East Zone (“NWP-EZ”). The zones from which each of the 102 composited sample material originated are shown in Figure 13-2 and listed in Metallurgical Report (Simmons, 2019, Appendices 4 and 5).
I
(bottle-roll cyanide-leach average gold recoveries, 200 and 10 mesh tests; composites from 2014 and 2015 Gold Standard drill holes at the Pinion deposit)
Figure 13-2: Pinion Zone Location Map for 2015 – 2016 Metallurgical Composites
Direct agitated cyanidation (bottle roll) tests were conducted on each of the 102 drill-core composites at particle size 80% passing 1.7 mm (10 mesh) and 75 µm (200 mesh), to determine gold extraction, extraction rate, reagent consumption, and sensitivity to feed size. The following is a summary of the findings from the bottle-roll test results:
13.1.2.1 | 10-Mesh Bottle-Roll Results 2015 - 2016 |
Gold head grades for the composites ranged from 0.15 to 4.65 ppm Au (average = 0.74 ppm Au). Gold extraction results ranged between 0.0 and 86.2% (average = 65.0%). Three of the composites were sulfide (74852L, 74852M, and 74863I), and after removing them from the data set, the remaining transition and oxide composites ranged from 40.7 to 86.2% gold extraction (average = 66.7%).
Silver head grades for the composites ranged from 0.53 to 67.97 ppm Ag (average = 6.70 ppm Ag). Silver extraction results ranged from 3.1 to 69.4% (average = 24.3%). Three of the composites were sulfide (74852L = 10.5%, 74852M = 8.9%, and 74853I = 12.3%), and after removing them from the data set, the remaining transition and oxide composites averaged 24.7% silver extraction.
Cyanide consumption averaged 0.48 kg/t and lime consumption averaged 1.66 kg/t, with the three sulfide composites excluded from the averages.
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13.1.2.2 | 200-Mesh Bottle-Roll Results |
Gold head grades for the composites ranged from 0.16 to 4.19 ppm Au (average = 0.75 ppm Au). Gold extraction results ranged from 0.0 to 94.0% (average = 76.1%). Three of the composites were sulfide (74852L, 74852M, and 74863I), and after removing them from the data set, the remaining transition and oxide composites had gold extractions from 44.3 to 94.0% (average = 77.9%).
Silver head grades for the composites ranged from 0.55 to 53.3 ppm Ag (average = 6.37 ppm Ag). Silver extraction results ranged between 13.0 and 83.0% (average = 46.8%). Three of the composites were sulfide (74852L = 23.5%, 74852M = 20.0%, and 74853I = 24.5%), and after removing them from the data set, the remaining transition and oxide composites averaged 47.5% silver extraction.
Cyanide consumption averaged 3.15 kg/t and lime consumption averaged 1.18 kg/t, with the three-sulfide composited excluded from the averages.
13.2 | 2016 - 2017 Gold Standard Pinion Deposit Metallurgical Testing |
In 2016 - 2017, a total of 33 composites were made from intervals selected from 10 core holes, on two cross-sections, located in the Pinion North and NW Pinion Main zones. The drill hole locations for the 2016 – 2017 composites are shown in Figure 13-3. These composites were used for column-leach, bottle-roll, and load permeability testing at KCA in Reno, Nevada, and results are documented in a final report by KCA (2017a).
Fourteen of the 33 composites were selected and shipped to Hazen Research, Inc. (“HRI”) in Golden, Colorado, for SMC testing (SMC Test®) and Ai testing. Comminution and abrasion final test results were reported in KCA (2017a) and in a separate letter report from HRI (Stepperud, 2017a).
Figure 13-3: 2016 – 2017 Pinion Metallurgical Core Hole Locations
(from Gold Standard 2017)
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13.2.1 | 2017 Pinion Head Assays |
Head assays and geo-metallurgical characterization were conducted on all composites using a combination of three separate laboratories: KCA, ALS, and UBC.
Head assays are tabulated for gold, silver, copper, cyanide gold solubility, carbon and sulfur species, and preg-robb analysis (Simmons, 2019, Appendix 6). ICP multi-element analyses and whole-rock analyses are shown in Appendix 7 and 8, respectively, in Metallurgical Report (Simmons, 2019). Gold cyanide-solubility (“AuCN”) assays presented are the average of two ALS assay procedures: AuAA13 and AuAA13s. The results for the 2016 – 2017 drill core composites are summarized below:
| · | Gold grades ranged from 0.23 to 1.82 ppm and averaged 0.76 ppm; |
| · | Silver grades ranged from 3.3 to 38.7 ppm and averaged 10.4 ppm; |
| · | Organic carbon ranged from 0.04 to 0.218% and averaged 0.10%; |
| · | Sulfide sulfur ranged from <0.01 to 0.11% and averaged 0.03%; |
| · | Preg-robb analyses ranged from -6.20 to 18.2% and averaged 2.8% (considered non-preg robbing); |
| · | Copper values were very low, ranging from 1.5 to 74.8 ppm and averaged 6.1 ppm; |
| · | Gold cyanide solubility ranged from 70.2 to 94.4% and averaged 84.2%; |
| · | Concentrations of the deleterious elements were: selenium averaged 7 ppm, mercury ranged from 0.3 to 10.1 ppm with an average of 3.6 ppm, and arsenic levels were low ranging from 63 to 815 ppm with an average of 277 ppm; |
| · | Concentrations of the primary cyanide consumers were low and suggest minimum potential for affecting cyanide consumption rates. Copper averaged 22 ppm, nickel averaged 46 ppm, and zinc averaged 139 ppm; |
| · | Whole-rock silica content ranged from 25.7 to 89.1% and averaged 66.6%. |
13.2.2 | 2016 – 2017 Bottle Roll and Column Leach Testing (KCA) |
Twenty-four of the 33 drill core composites were subjected to bottle-roll leach testing at target P80 sizes of 75 µm and 1,700 µm, and to column-leach testing at either 12.5 mm or 25.0 mm crush sizes. The remaining nine composites were only bottle-roll leached at target P80 sizes of 75 µm and 1,700 µm. The testing program is summarized in Table 13-2. The main objective of these tests was to evaluate the laboratory-scale leachability character of the Pinion mineral resource in terms of gold extraction, extraction rate, reagent consumption, and sensitivity to feed size.
Table 13-2: Summary of Nominal Feed P80 for Column and Bottle-Roll Leach Tests
Pinion North Zone | Pinion NW Main Zone |
Columns | Bottle Rolls | Columns | Bottle Rolls |
12.5 mm | 25 mm | 75 µm | 1,700 µm | 12.5 mm | 25 mm | 75 µm | 1,700 µm |
13 | 1 | 20 | 20 | 9 | 3 | 13 | 13 |
The bottle-roll testing used a standard procedure that is described in the final laboratory report (KCA 2017), using 144 hours of retention time for 1,700 µm tests, and 96 hours for 75 µm tests.
Column-leach tests were conducted utilizing material crushed to target P80’s and placed in columns of 10 and 15 cm diameters. During testing the material was leached for 60, 90 or 121 days with a dilute NaCN solution. After leaching, each column was washed for four days with water. A portion of the leached and washed material (“tailings”) from each column was assayed for “tail screen” analyses by size fraction.
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Tailings material from 12 columns was utilized for compacted permeability test work. Additionally, tailings material from seven columns was submitted to Western Environmental Testing Laboratory (“WETLAB”) in Sparks, Nevada, for acid- base accounting (“ABA”) and meteoric-water mobility tests (“MWMT”).
Geologic information for selected metallurgical composites, together with feed sizes, retention times, reagent consumptions, and gold and silver extraction balances can be found in the Metallurgical Report (Simmons, 2019, Appendix 9). The geologic information provided is part of the geo-metallurgical characterization of the Pinion mineral resource.
The following is offered as a summary of the findings from the 2016 – 2017 column and bottle-roll test results:
13.2.2.1 | 2017 Bottle-Roll Tests on 1,700 µm Composite Samples |
Gold head grades for the composites ranged from 0.064 to 1.78 ppm Au, with an average of 0.74 ppm Au. From this material the gold extraction ranged from 49.0 to 86.0%, with an average extraction rate of 68.4%.
Silver head grades for the composites ranged from 3.4 to 40.4 ppm Ag, with an average of 10.4 ppm Ag. Silver extraction from this material ranged from 5.0 to 85.0%, with an average extraction rate of 26.9%.
Cyanide consumption averaged 0.18 kg/t and lime consumption averaged 0.78 kg/t.
13.2.2.2 | 2017 Bottle-Roll Tests on 75 µm Composite Samples |
Gold head grades for the composites ranged from 0.13 to 1.85 ppm Au, with an average of 0.78 ppm Au. Gold extraction from this material ranged from 66.0 to 90.0%, with an average of 81.3%.
Silver head grades for the composites ranged from 3.49 to 103.1 ppm Ag, with an average of 13.7 ppm Ag. Silver extraction from this material ranged from 16.0 to 95.0%, with an average of 49.0%.
Cyanide consumption averaged 0.88 kg/t and lime consumption averaged 0.60 kg/t.
13.2.2.3 | 2017 Column-Leach Tests on Composite Samples |
Column-leach test extraction results were calculated based upon loaded carbon assays and tails assays. Gold head grades for the twenty-two 12.5 mm column composites ranged from 0.26 to 1.88 ppm Au (Average = 0.76 ppm Au). Gold extraction results ranged between 55.8 and 90.4%, with an average of 70.0%.
Silver head grades for the twenty-two 12.5 mm column composites ranged from 1.44 to 41.6 ppm Ag, with an average of 9.54 ppm Ag. Silver extraction results ranged between 5.4 and 47.3%, with an average of 22.7%.
Cyanide consumption averaged 0.96 kg/t and lime consumption averaged 0.59 kg/t.
Gold head grades for the four 25.0 mm columns ranged from 0.44 to 0.90 ppm Au, with an average of 0.67 ppm Au. Gold extraction results ranged from 51.5 to 69.5%, with an average of 56.4%.
Silver head grades for the four 25.0 mm column composites ranged from 6.0 to 11.9 ppm Ag, with an average of 8.3 ppm Ag. Silver extraction results ranged between 9.7 and 44.8%, with an average of 22.6%.
Cyanide consumption averaged 1.0 kg/t and lime consumption averaged 0.56 kg/t.
KCA advises that commercial-scale, operational cyanide consumption typically runs in the range of 25 to 33% of laboratory consumption.
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Gold extraction plotted by days under leach for the column-leach tests are shown graphically in Figure 13-4.
Figure 13-4: 2016 – 2017 Gold Extraction vs. Days Under Leach for Column-Leach Tests
13.2.3 | 2017 Pinion Comminution Characterization at HRI |
Fourteen drill core samples were selected for comminution test work. These samples were limited to where sufficient material was available from the 2016 – 2017 metallurgical composites and represented major material types. They were subjected to the modified SMC Test at HRI to generate data for SAG mill comminution parameters, crushing index (“Mic”) by JKTech, and Ai testing. A final letter report was issued by HRI (Stepperud, 2017a).
13.2.3.1 | 2017 SMC Test Results |
The 2017 HRI SMC Test® results for the 14 samples are given in the Metallurgical Report (Simmons, 2019, Appendix 10). This table includes the average rock density, A x b (a measure of resistance to impact breakage) and drop-weight index (“DWi”) values that are the direct result of the SMC Test® procedure. The values determined for the Mia, Mih, and Mic parameters and the definitions of these abbreviations developed by SMCT are also presented in this table.
The DWi ranged from 2.13 to 8.02 kWh/m3, indicating soft to medium-hard material, and is tabulated along with other parameters of the SMC evaluation in the Metallurgical Report (Simmons, 2019, Appendix 10). In summary:
The Pinion samples A x b and DWi values can be categorized as soft to moderate in comparison to the SMC worldwide database values. Although the Pinion oxide mineral resource material is not envisioned to require a milling circuit, the SAG comminution parameters are a primary component (output) of the SMC test, which also provides crushing parameters that can be used to design conventional crushing circuits.
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13.2.3.2 | 2017 Pinion Bond Abrasion Index (Ai) Tests |
Bond Abrasion index tests were performed at HRI on 14 composite samples. The Metallurgical Report (Simmons, 2019, Appendix 11) lists the Ai values for the 14 composites that were tested. Ai values ranged from a low of 0.4591 g to a high of 1.5548 g, indicating moderate to very high abrasiveness of the materials tested. The silica content of the Pinion mineral resource is the inferred rock component that contributes to the corresponding high Ai test results.
13.2.3.3 | 2017 Pinion Comminution Test Summary |
The Pinion comminution samples tested can be considered amenable to conventional, multi-stage crushing and screening circuit design. Mic, the SMC crusher component value, with an average of 5.9 kWh/t, would be ranked in the lower mid-range of the SMC worldwide database.
The Ai values (average = 0.9725 g) are modest to very high (see Simmons, 2019, Appendix 11) and represent the potential for high rates of wear on crusher liners, screen panels and conveyor drop boxes. The high Ai values of this material will likely translate into high wear rates on all ground-engaging equipment used for mining, including dozer tracks and blades, blast-hole drills, shovel and loader buckets, bucket teeth, and haul truck tires and bed liners.
13.2.4 | 2017 Pinion Load Permeability Test Work on Column Tailings |
A portion of tailings material from each column-leach test was utilized for load permeability test work. The purpose of the load permeability test work was to examine the permeability of the crushed material under compaction loading equivalent to heap heights of 25 m, 50 m, 75 m, and 100 m.
The test cell utilized for modeling the permeability of stacked material at various heap heights, was a steel column or cell. Staged axial (vertical) loading of the test material was utilized to simulate the incrementally increased pressure obtained when loading the heap. Drainage layers were installed at the top and at the base of the column. External load was applied to the charge of material in the column utilizing a perforated steel plate that moved freely within the walls of the column.
A brief version of the guidelines that KCA utilizes when reviewing the results from this type of test are as follows:
| 1. | A slump of over 10% is generally an indication of failure. |
| 2. | A measured flow of 10 times the heap design flow (10 to 12 li/h/m2) is considered a pass for a bed of agglomerate material. However, lower flows are not necessarily a failure if there are enough consistently passing tests. |
| 3. | “Pellet breakdown” within the column of about 15% is marginally acceptable and anything higher is a failure. However, in general, a higher range may be allowable due to the subjective nature of the test, being based on visual observation. The tests only apply to materials agglomerated with cement. |
| 4. | Solution color and clarity is typically an indicator of agglomerate failure and fines migration. This information is utilized in coordination with both slump as well as pellet breakdown to determine if the test column passes. |
All twelve column residues that were tested passed using KCA’s criteria. The results of the load permeability test work are summarized in the Metallurgical Report (Simmons, 2019, Appendix 12).
13.3 | 2018 Gold Standard Pinion Deposit High Pressure Grinding Roll (HPGR) Testing |
Gold Standard commissioned KCA to perform bottle roll, conventional-crush column-leach and HPGR-crush column- leach testing on a drill core composite sample from the Pinion Main zone, here termed the “HPGR composite.” Test results were documented in KCA (2018a).
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13.3.1 | 2018 Head Assays Pinion Main Zone HPGR Composite |
The HPGR composite sample was comprised of intervals from two PQ-diameter core holes: PIN17-12, 42.7 m to 53.8 m and PIN17-13, 114.3 m to 159.1 m. Head assays are presented in Table 13-3. The sulfide sulfur (S=) head assay of 0.02% demonstrates the oxide character of this sample. The presence of C(org) (0.11%) and the preg-robb assay of 9.5% indicate that this composite may be mildly preg-robbing.
Table 13-3: Pinion Main Zone HPGR Composite Head Assays
KCA Sample No. | Description | Au & Ag Assays | Sulfur and Carbon Species | Preg- robb, % |
Au ppm | Ag ppm | AuCN % | AgCN % | C(tot) % | C(org) % | S (tot) | S= | SO4 |
% | % | % |
Pinion HPGR Composite Sample | | | | | | | | | | |
78508C | Pin 17-12 140’ to 176.5’ and Pin 17-13 375’ to 522’ | 0.736 | 4.53 | 80.2 | 73.5 | 0.19 | 0.11 | 3.07 | 0.02 | 3.05 | 9.5% |
13.3.2 | 2018 Pinion Main Zone HPGR Bottle-Roll and Column-Leach Testing |
The Pinion Main zone HPGR composite was also subjected to bottle-roll leach testing at target P80 sizes of 38 µm, 75 µm and 1,700 µm. Conventional column-leach testing was conducted at target P80 of 12.5 mm and HPGR column- leach testing was done on sub-samples subjected to low, medium, and high HPGR press forces. The main objective of these bottle-roll and column-leach tests was to evaluate the differences in gold extraction, comparing conventional-crush laboratory column-leach results to those from material crushed using HPGR.
13.3.2.1 | 2018 Bottle-Roll Tests, Pinion Main Zone HPGR Composite Sample |
Bottle-roll leach testing was performed on 500 g or 1,000 g portions of head material comminuted to a P80 target size of 1,700 microns (1.70 mm), 75 microns (0.075 mm), and 38 microns (0.038 mm). Bottle-roll testing, wet screening and assay methods were performed utilizing the same procedures as outlined in Section 13.2.2. Bottle-roll cyanide-leach test results are shown in Table 13-4.
Table 13-4: 2018 Pinion Main Zone HPGR-Crushed Bottle-Roll Results
KCA Sample No. | Test No | Comp ID | GSV Geology | Feed Size | Leach Time (hrs) | Au Balance | Ag Balance | Reagents |
Zone | Subunit | Rock Type 1 | Vein 1 | Target P80 (µm) | Screen P80 (µm) | Au Ext % | Calc Hd Au (ppm) | Ag Ext % | Calc Hd Ag (ppm) | Na CN kg/t | Lime kg/t |
| | | | | | | | | | | | | | | |
78508C | 78525 A | HPGR Comp | Pinion Main | CGL | car | qzv | 1,700 | 1,860 | 144 | 53.8 | 0.630 | 32.5 | 4.640 | 0.11 | 0.50 |
78508C | 78526 A | HPGR Comp | Pinion Main | CGL | car | qzv | 75 | 69 | 72 | 72.5 | 0.803 | 58.3 | 4.940 | 0.50 | 0.50 |
78508C | 78526 B | HPGR Comp | Pinion Main | CGL | car | qzv | 38 | 40 | 72 | 69.8 | 0.758 | 59.9 | 4.810 | 0.27 | 0.50 |
The reported bottle-roll cyanide-leach gold extractions are low for an oxide sample. This is an indication of refractoriness due to factors other than sulfide sulfur or C(org) contents.
13.3.2.2 | Column-Leach Tests on Pinion Main Zone HPGR Composite |
Column-leach tests were performed on four samples of the HPGR composite that were prepared in the following manner:
1 – Conventional crush to target P80 = 12.5 mm;
2 – HPGR crushed at low press force (2.20 N/mm2) setting, P80 = 7,000 µm;
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3 – HPGR crushed at medium press force (3.35 N/mm2) setting, P80 = 6,500 µm;
4 – HPGR crushed at high press force (4.30 N/mm2) setting, P80 = 5,000 µm
The column-leach tests were conducted for 65 days with a dilute sodium cyanide solution utilizing the same procedures as outlined in Section 13.2.2. The results are summarized in Table 13-5.
Table 13-5: 2018 Pinion Main Zone HPGR-Crushed Column Leach Test Results
KCA | Test No | Comp ID | GSV Geology | Feed Size | Leach Time (days) | Au Balance | Ag Balance | Reagents |
Zone | Subunit | Rock Type 1 | Vein 1 | Target P80 (µm) | Screen P80 (µm) | Au Ext, % | Calc Hd Au (ppm) | Ag Ext % | Calc Hd Ag (ppm) | NaCN kg/t | Lime kg/t |
78509B | 78516 | HPGR - Low | Pinion Main | CGL | car | gzv | N/A | 7,000 | 65 | 53.3 | 0.846 | 37.4 | 4.6 | 0.54 | 1.01 |
78510B | 78519 | HPGR - Med | Pinion Main | CGL | car | gzv | N/A | 6,500 | 65 | 65.5 | 0.722 | 39.9 | 4.56 | 0.57 | 1.01 |
78511B | 78522 | HPGR - High | Pinion Main | CGL | car | gzv | N/A | 5,000 | 65 | 64 | 0.708 | 42.8 | 4.07 | 0.61 | 1.01 |
| | | | | | | | | | | | | | | |
78508C | 78513 | Conventional Crush | Pinion Main | CGL | car | gzv | 12,500 | 12,200 | 65 | 43.8 | 0.864 | 21.6 | 3.99 | 0.54 | 1.02 |
The column-test extractions in Table 13-5 are based upon pregnant solution carbon assays using the calculated head (carbon assays + tails assays), which ranged from 0.71 g Au/t to 0.85 g Au/t. Gold extractions ranged from 44% (conventional crush) to 66% (HPGR medium pressure). Sodium cyanide consumption ranged from 0.54 to 0.61 kg/t and hydrated lime consumption ranged from 1.01 to 1.02 kg/t.
Graphical comparisons for gold and silver extraction between conventionally crushed and HPGR-crushed sample charges are shown in Figure 13-5 and Figure 13-6.
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Figure 13-5: Conventional Crush vs. HPGR Gold Extraction Comparison
Figure 13-6: Conventional Crush vs. HPGR Silver Extraction Comparison
The data demonstrate that the HPGR-crushed column charges, at medium and high press force, provide a significant gold extraction advantage over the conventionally crushed sample. While it is relatively simple to design a flowsheet to produce any specific P80 particle size from conventional crushing, it is not for HPGR comminution. The P80’s shown in Figure 13-5 and Figure 13-6 represent a close approximation to the product size that would be produced in a commercial HPGR comminution circuit.
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13.3.3 | 2018 Pinion Main Zone HPGR Agglomeration and Load Permeability Testing |
Preliminary agglomeration testing was performed on the low, medium, and high press-force HPGR-comminuted samples before being loaded into columns. All charges passed the KCA agglomeration criteria except the medium press-force sample at “0” kg/t cement addition. It was decided to column leach the HPGR samples without any cement addition or agglomeration for this phase of test work.
All column-leach residue charges were subjected to evaluation of percent slump, maximum percolation rate and load permeability tests. The results are shown respectively in Appendix 13, 14, and 15 from the Metallurgical Report (Simmons, 2019).
The medium and high press-force HPGR column-leach residues failed load permeability testing at 50 m height. Based upon these results it is recommended that future testing continue to evaluate cement agglomeration on HPGR- comminuted samples to support heap heights of at least 50 m and possibly 75 m.
13.4 | 2019 Gold Standard Pinion Deposit Metallurgical Test Work |
Gold Standard drilled additional metallurgical core holes in the Pinion North and Main zones in 2017-2018, that were tested in 2019. A total of 26 composites were made from intervals selected from 22 core holes. Metallurgical core drill hole locations, for all phases of work, is shown in Figure 13-7, and the 2017- 2018 composites are shown in green and blue. These composites were used for geo-metallurgical characterization, comminution testing, column-leach, bottle- roll, load permeability testing, and environmental characterization, at KCA in Reno, Nevada, and results are documented in a final report by KCA (2019a).
Nine of the 26 composites were selected and shipped to HRI in Golden, Colorado, for SAG mill comminution (“SMC”) testing (SMC Test®) and Bond Abrasion index (“Ai”) testing. Comminution and abrasion final test results were reported in KCA (2019a) and in a separate letter report from HRI (Stepperud, 2019a).
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Figure 13-7: Pinion Deposit Metallurgical Core Location Map
13.4.1 | 2019 Pinion Head Assays |
Head assays and geo-metallurgical characterization were conducted on all composites using a combination of three separate laboratories: KCA, ALS, and University of British Columbia (“UBC”).
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Head assays are tabulated for gold, silver, copper, cyanide gold solubility, carbon and sulfur species, and preg-robb analysis (Simmons, 2019, Appendix 16). In the Metallurgical Report, ICP multi-element analyses are shown in Appendix 17, whole-rock analyses are shown in Appendix 18 and QXRD analysis in Appendix 19 (Simmons, 2019). Gold cyanide-solubility (“AuCN”) assays presented are the average of two ALS assay procedures: AuAA13 and AuAA13s. The results for the 2017 – 2018 drill core composites are summarized below:
| ● | Gold grades ranged from 0.25 to 2.87 ppm and averaged 0.85 ppm; |
| ● | Silver grades ranged from 0.5 to 29.1 ppm and averaged 7.7 ppm; |
| ● | Organic carbon ranged from 0.08 to 0.45% and averaged 0.25%; |
| ● | Sulfide sulfur ranged from 0.005 to 0.67% and averaged 0.078%; |
| ● | Preg-robb analyses ranged from -4.0 to 16.7% and averaged 4.5% (considered non-preg robbing); |
| ● | Copper values were very low, ranging from 1.2 to 38.9 ppm and averaged 6.0 ppm; |
| ● | Gold cyanide solubility ranged from 43.6 to 87.3% and averaged 74.8%; |
| ● | Concentrations of the deleterious elements were: selenium averaged 8.4 ppm, mercury ranged from 0.2 to 4.3 ppm with an average of 1.4 ppm, and arsenic levels were low ranging from 1 to 607 ppm with an average of 273 ppm; |
| ● | Concentrations of the primary cyanide consumers were low and suggest minimum potential for affecting cyanide consumption rates. Copper averaged 119 ppm (with 1 composite containing 2260 ppm), nickel averaged 29 ppm and zinc averaged 134 ppm; |
| ● | Whole-rock SiO2 content ranged from 11.0 to 94.8% and averaged 73.3%. |
13.4.2 | 2019 Pinion Bottle Roll and Column Leach Testing at KCA |
Twenty-six drill core composites were subjected to bottle-roll leach testing at target P80 sizes of 75 µm and 1,700 µm, and to column-leach testing at 12.5 mm or 25.0 mm crush sizes. The main objective of these tests was to evaluate the laboratory-scale leachability character of the Pinion mineral resource in terms of gold extraction, extraction rate, reagent consumption, and sensitivity to feed size.
Geologic information for selected metallurgical composites, together with feed sizes, retention times, reagent consumptions, and gold and silver extraction balances are shown in the Metallurgical Report (Simmons, 2019, Appendix 20).
The bottle-roll testing used a standard procedure that is described in the final laboratory report (KCA 2019a), using 144 hours of retention time for 1,700 µm tests, and 96 hours for 75 µm tests.
Column-leach tests were conducted utilizing material crushed to target P80’s and placed in columns of 10 and 15 cm diameters. During testing the material was leached for 59, 70, 94 or 130 days with a dilute NaCN solution. After leaching, each column was washed for four days with water. A portion of the leached and washed material (“tailings”) from each column was assayed for “tail screen” analyses by size fraction.
Tailings material from 19 columns was utilized for compacted permeability test work. Additionally, tailings material from the same 19 columns was submitted to Western Environmental Testing Laboratory (“WETLAB”) in Sparks, Nevada for environmental characterization.
The following is offered as a summary of the findings from the 2019 column and bottle-roll test results:
13.4.2.1 | 2019 Pinion Bottle Roll Tests on 75-µm Composite Samples |
Gold head grades for the composites ranged from 0.138 to 2.63 ppm Au, with an average of 0.81 ppm Au. From this material the gold extraction ranged from 30.1 to 87.4%, with an average extraction rate of 68.4%.
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Silver head grades for the composites ranged from 0.60 to 32.0 ppm Ag, with an average of 7.6 ppm Ag. Silver extraction from this material ranged from 31.7 to 84.3%, with an average extraction rate of 56.2%.
Cyanide consumption averaged 0.30 kg/t and lime consumption averaged 0.64 kg/t.
13.4.2.2 | 2019 Pinion Bottle-Roll Tests on 1,700 µm Composite Samples |
Gold head grades for the composites ranged from 0.156 to 2.59 ppm Au, with an average of 0.78 ppm Au. Gold extraction from this material ranged from 37.5 to 79.0%, with an average of 61.5%.
Silver head grades for the composites ranged from 0.55 to 31.8 ppm Ag, with an average of 7.63 ppm Ag. Silver extraction from this material ranged from 12.0 to 82.2%, with an average of 30.7%.
Cyanide consumption averaged 0.22 kg/t and lime consumption averaged 1.07 kg/t.
13.4.2.3 | 2019 Pinion Column-Leach Tests on Conventional Crushed Composite Samples |
Column-leach test extraction results were calculated based upon loaded carbon assays and tails assays. Gold head grades for the sixteen 12.5 mm column composites ranged from 0.198 to 3.19 ppm Au (average = 0.95 ppm Au). Gold extraction results ranged between 29.8 and 80.0%, with an average of 63.0%.
Silver head grades for the sixteen 12.5 mm column-leach composites ranged from 0.65 to 27.9 ppm Au, with an average of 7.84 ppm Ag. Silver extraction results ranged between 9.5 and 76.4%, with an average of 30.6%.
Cyanide consumption averaged 0.92 kg/t and lime consumption averaged 1.06 kg/t.
Gold head grades for the ten 25.0 mm column-leach composites ranged from 0.313 to 1.65 ppm Au, with an average of 0.72 ppm Au. Gold extraction results ranged between 30.5 and 81.2%, with an average of 59.9%.
Silver head grades for the ten 25.0 mm column-leach composites ranged from 1.94 to 22.2 ppm Ag, with an average of 7.0 ppm Ag. Silver extraction results ranged between 9.3 and 25.0%, with an average of 18.2%.
Cyanide consumption averaged 0.76 kg/t and lime consumption averaged 0.93 kg/t.
KCA advises that commercial-scale, operational cyanide consumption typically runs in the range of 25 to 33% of laboratory consumption.
Gold extraction plotted by days under leach for the column-leach tests are shown graphically in Figure 13-8.
13.4.2.4 | 2019 Pinon Column Leach Tests on HPGR Crushed Composite Samples |
Column-leach test extraction results were calculated based upon loaded carbon assays and tails assays. Gold head grades for the five HPGR crush column-leach composites ranged from 0.467 to 0.891 ppm Au (average = 0.65 ppm Au). Gold extraction results ranged between 56.6 and 78.3%, with an average of 70.3%.
Silver head grades for the five HPGR crush column-leach composites ranged from 1.72 to 28.0 ppm Au, with an average of 7.27 ppm Ag. Silver extraction results ranged between 27.9 and 58.3%, with an average of 40.4%.
Cyanide consumption averaged 0.73 kg/t and lime consumption averaged 0.31 kg/t.
Gold extraction plotted by days under leach for the column-leach tests are shown graphically in Figure 13-8.
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Figure 13-8: 2019 Pinion Gold Extraction vs. Days under Leach for Column-Leach Tests
13.4.3 | 2019 Pinion Comminution Characterization at HRI |
Nine drill core samples were selected for comminution test work and were subjected to the modified SMC Test at HRI to generate data for SAG mill comminution parameters, crushing index (“Mic”) by JKTech, and Ai testing. A final letter report number 12635 was issued by HRI, March 6, 2019 (Stepperud, 2019a).
13.4.3.1 | 2019 Pinion SMC Test Results |
The 2019 HRI SMC Test® results for the 9 samples are given in the Metallurgical Report (Simmons, 2019, Appendix 21). This table includes the average rock density, A x b (a measure of resistance to impact breakage) and drop-weight index (“DWi”) values that are the direct result of the SMC Test® procedure. The values determined for the Mia, Mih and Mic parameters, and the definitions of these abbreviations developed by SMCT, are also presented in this table.
The DWi ranged from 5.34 to 7.30 kWh/m3, indicating soft to medium-hard material, and is tabulated along with other parameters of the SMC evaluation.
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The Pinion samples A x b and DWi values can be categorized as moderate in comparison to the SMC worldwide database values. Although the Pinion oxide mineral resource material is not envisioned to require a milling circuit, the SAG comminution parameters are a primary component (output) of the SMC test, which also provides conventional crushing parameters that can be used to design conventional crushing circuits.
The 2019 Pinion comminution samples can be considered in line with previous testing and is amenable to conventional, multi-stage crushing and screening circuit design. Mic, the SMC crusher component value, with an average of 6.8 kWh/t, would be ranked in the mid-range of the SMC worldwide database.
13.4.3.2 | 2019 Pinion Bond Abrasion Index (Ai) Tests |
Bond Abrasion index tests were performed at HRI on 9 composite samples. The Metallurgical Report (Simmons, 2019, Appendix 22) lists the Ai values for the 9 composites that were tested. Ai values ranged from a low of 0.4005 g to a high of 0.8481 g, indicating moderate to above average abrasiveness of the materials tested. The silica content of the Pinion mineral resource is the inferred rock component that contributes to the corresponding high Ai test results.
The 2019 Pinion Ai values (average = 0.6948 g) are lower than the Phase one samples (0.9725 g) and can be considered as moderate to above average (see Appendix 22, Simmons, 2019) and represent the potential for slightly elevated rates of wear on crusher liners, screen panels, and conveyor drop boxes.
13.4.4 | 2019 Pinion Load Permeability Test Work on Column Tailings |
A portion of tailings material from ten 12.5 mm, five 25 mm, and five 4 HPGR column-leach test residues was utilized for load permeability test work. The purpose of the load permeability test work was to examine the permeability of the crushed material under compaction loading equivalent to heap heights of 25 m, 50 m, 75 m, and 100 m.
Load Permeability Test procedures and guidelines have been described earlier in this Technical Report. Refer to Section 13.2.4 for details.
All ten 12.5 mm and five 25 mm conventional crush columns passed load permeability test criteria up to 100-meter heap height, except for PM #59, which failed at 100 meters. The conventional crushed column load permeability test results are summarized in the Metallurgical Report, Appendix 23 (Simmons, 2019).
All five of the HPGR crushed columns passed load permeability test criteria at 75 meters and two of the five (PM #37 and PM #56) failed at 100 meters. 2.0 kg/t of cement was added to PM #51 and 6.0 kg/t to PM #59. The HPGR crushed column load permeability test results are summarized in the Metallurgical Report, Appendix 24 (Simmons, 2019).
13.5 | 1991 Dark Star Deposit Metallurgical Testing |
Figure 13-9 shows drill hole locations for samples used for Dark Star bottle roll tests conducted by McClelland Laboratories for Crown Resources in 1991. Bottle roll test results are summarized in Table 13-1.
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Figure 13-9: RC Drill Hole Locations for the 1991 Dark Star Bottle-Roll Tests
13.6 | 2017 Gold Standard Dark Star Deposit Metallurgical Testing |
In 2017, Gold Standard commissioned KCA to complete a metallurgical testing program on drill core composite samples from the Dark Star Main and North mineral resources. Test results were documented in KCA (2017b).
13.6.1 | 2017 Dark Star Head Assays for Bottle-Roll and Column-Leach Tests |
Head assays and geo-metallurgical characterization analyses were obtained for 68 composites using a combination of four separate laboratories: KCA, ALS, UBC, and FLS. The head assays are tabulated in Appendix 25, 26, and 27 (Simmons, 2019) and show:
| ● | Gold grade ranged from 0.177 to 7.35 ppm and averaged 1.59 ppm; |
| ● | Silver grade ranged from 0.27 to 5.07 ppm and averaged 0.71 ppm; |
| ● | Organic carbon ranged from <0.10 to 2.14% (sulfide sample) and averaged 0.24%; |
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| ● | Sulfide sulfur ranged from <0.01 to 2.14% (sulfide sample) and averaged 0.21%; |
| ● | Preg-robb analysis ranged from 0.0 to 19.2% and averaged 1.6%; |
| ● | Copper values were very low, ranging from 5 to 42 ppm; |
| ● | Gold cyanide solubility ranged from 25.7% (sulfide sample) to 100% and averaged 88.3%; |
| ● | Concentrations of deleterious elements by ICP were low: <5 ppm selenium on average, mercury ranged from 0.99 to 127.4 ppm (sulfide sample) and averaged 9.54 ppm, and arsenic ranged from 61 to 605 ppm with an average of 196 ppm; |
| ● | Concentrations of the primary cyanide consumers were low and suggest minimum potential for effecting cyanide consumption rates. Copper averaged 18 ppm, nickel averaged 32 ppm and zinc averaged 126 ppm. |
| ● | Whole-rock quartz (SiO2) analyses were high ranging from 42.4 to 95.8% and averaged 85.0%. |
13.6.2 | 2017 Dark Star Bottle-Roll and Column-Leach Tests at KCA |
Sixty-eight drill core composites were subjected to bottle-roll leach testing at target P80 sizes of 75 µm and 1,700 µm. A subset of 41 of the 68 composites were subjected to column-leach testing at crush sizes of 12.5 mm (on all 41 composites) and 25.0 mm (six of the 41 composites), depending upon available mass. The main objective of the bottle- roll and column-leach testing was to evaluate laboratory-scale leachability of the Dark Star mineral resource in terms of gold extraction, extraction rate, reagent consumption, and sensitivity to feed size.
13.6.2.1 | 2017 Dark Star Bottle Roll Tests |
Bottle-roll leach testing was conducted on portions of material from each of the 68 composites. A 500 or 1,000 g portion of head material was crushed to a nominal size of 1,700 µm (1.70 mm) and utilized for leach testing. A second portion of material was milled in a laboratory rod mill to a target size of 80% passing 75 µm (0.075 mm). The milled slurry was then utilized for leach testing. The tests, which are described in detail by the laboratory report (KCA 2017), employed retention times of 144 hours for the 1,700 µm material and 72 hours for the 75 µm material.
The tailing material from the 1,700 µm tests was wet screened at 0.075 mm. The undersized material was dried and set aside. The oversized material was dried and dry screened at 4.75, 3.35, 2.36, 1.70, 1.18, 0.850, 0.600, 0.425, 0.300, 0.212, 0.150, 0.106, and 0.075 mm. The dry-screened -0.075 mm material was then combined with the wet screened material. Each separate size fraction was then weighed and reported. The material was then recombined. From the recombined material, three portions were split out and individually ring and puck pulverized to 80% passing 0.075 mm. The pulverized portions were then assayed for residual gold and silver content. The reject material was stored.
The tailing material from the 75 µm tests was wet screened at 0.038 mm. The undersized material was dried and set aside. The oversized material was dried and dry screened at 0.212, 0.150, 0.106, 0.075, 0.053, and 0.038 mm. The dry-screened, -0.038 mm material was then combined with the wet-screened material. Each separate size fraction was then weighed and reported. The material was then recombined. From the recombined material, three portions were split out and individually ring and puck pulverized to 80% passing 0.075 mm. The pulverized portions were then assayed for residual gold and silver content. The reject material was stored.
Gold Standard has divided the Dark Star deposit into two zones for metallurgical testing: Dark Star Main and Dark Star North. The drill holes, shown with numbers in Figure 13-10, are core holes from 2015-2016 drilling, from which metallurgical composites were compiled. Dark Star bottle-roll gold and silver extraction results are summarized in Appendix 28 and 29 from the Metallurgical Report (Simmons, 2019). The zones from which the 2015-2016 composite sample material originated are listed in Appendix 30 and 31 (Simmons, 2019).
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Note: BR = bottle roll test; COL = column-leach test.
Figure 13-10: Location Map for 2017 Dark Star Metallurgical Composites
The following is a summary of the findings from the Dark Star bottle roll test results.
13.6.2.2 | 2017 Dark Star 1.70 mm (10 Mesh) Bottle-Roll Results |
Dark Star 10-mesh bottle-roll gold and silver extraction results are shown in the Metallurgical Report (Simmons, 2019, Appendix 28). Gold head grades for the 10-mesh composite samples ranged from 0.18 to 6.22 ppm Au, with an average of 1.56 ppm Au. Gold extraction ranged between 26.1 and 97.7% and averaged 81.8%. Five of the composites were sulfide/carbon refractory, with gold cyanide solubility <60%, nine of the composites were transitional with gold cyanide solubility >60% and <85%, and 54 of the composites were oxide with AuCN solubility >85%.
Silver grades are very low at Dark Star. Silver head grades for the 10-mesh composites ranged from 0.31 to 5.01 ppm Ag with an average of 0.71 ppm Ag. Silver extraction ranged from 0.0 to 83.6% and averaged 20.2%. Cyanide consumption averaged 0.42 kg/t and lime consumption averaged 1.11 kg/t.
13.6.2.3 | 2017 Dark Star 0.74 mm (200 Mesh) Bottle-Roll Results |
Dark Star 200-mesh bottle roll gold and silver extraction results are shown in the Metallurgical Report (Simmons, 2019, Appendix 29). Gold head grades for the 200-mesh composite samples ranged from 0.22 to 6.48 ppm Au with an average of 1.55 ppm Au. Gold extraction ranged between 30.9 and 97.9% and averaged 85.6%. Five of the composites were sulfide/carbon refractory with gold cyanide solubility <60%, nine of the composites were transitional with gold cyanide solubility >60% and <85%, and 54 of the composites were oxide with gold cyanide solubility >85%.
Silver grades are very low at Dark Star. Silver head grades for the 200-mesh composites ranged from 0.24 to 5.06 ppm Ag with an average of 0.69 ppm Ag. Silver extraction ranged from 5.6 to 85.8% and averaged 31.5%.
Cyanide consumption averaged 1.79 kg/t and lime consumption averaged 0.77 kg/t.
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13.6.2.4 | 2017 Dark Star 12.5 mm and 25.0 mm Column Leach Results |
Forty-one of the 2017 composites were column leached utilizing material crushed to 100% passing 19 mm (target P80 = 12.5 mm), and six of the 41 composites were crushed to 100% passing 37.5 mm (target P80 = 25 mm). During testing the material was leached for 60, 90 or 121 days with dilute NaCN solution and placed, respectively, in columns of 100 mm and 150 mm diameters. After leaching, each test was washed for four days with water. A portion of the tailings material from each column-leach test was utilized for tail screen analyses with assays by size fraction. Column-leach gold and silver extraction results are summarized in the Metallurgical Report (Simmons, 2019, Appendix 32).
None of the columns required agglomeration in the laboratory column set-up. Column-leach extraction results were calculated based upon loaded carbon assays and tails assays. Calculated gold head grades for the 41 columns ranged from 0.18 to 6.39 ppm Au with an average of 1.58 ppm Au. Gold extraction ranged between 15.0 and 94.8% with an average of 78.9%.
| ● | Two of the column-leach composites were sulfide/carbon refractory with gold cyanide solubility <60% and gold extraction ranged from 15.0 to 25.5% and averaged 20.3%. |
| ● | Eight of the column-leach composites were transitional with gold cyanide solubility >60% and <85%. Gold extraction for these columns ranged from 57.8 to 85.8% and averaged 69.7%. |
| ● | Thirty-seven of the column-leach composites were oxide with gold cyanide solubility >85%. Gold extraction for these columns ranged from 56.3 to 94.9% and averaged 84.1%. |
Calculated silver head grades for the 47 columns ranged from 0.30 to 2.54 ppm Ag with an average of 0.58 ppm Ag. Silver extraction ranged between 14.3 and 68.0% with an average of 31.1%. Silver head grades for Dark Star are very low and of minimal economic significance.
Cyanide consumption averaged 1.07 kg/t and lime consumption averaged 1.15 kg/t. Commercial scale ROM cyanide consumptions are expected to be in the range of 25 to 33% of laboratory-scale test results. Laboratory lime consumptions are assumed to be similar to commercial-scale consumptions.
Gold extraction versus days under leach for the 47 column-leach tests are shown graphically in Figure 13-11. The two low gold extraction plots show in Figure 13-11, are for the sulfide composites discussed in the first bullet above.
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Figure 13-11: 2017 Dark Star Column-Leach Gold Extraction vs. Days under Leach
13.6.3 | 2017 Dark Star Comminution Characterization at HRI |
Twelve Dark Star drill core samples were selected for comminution test work. These samples were splits from metallurgical composites and represent major material types. They were subjected to the modified SMC Test at HRI to generate data for SMC parameters; Mic by JKTech and Ai testing was also completed. A final letter report was issued: Comminution Testing, Hazen Project 12391 Report and Appendices A and B – July 5, 2017 (Stepperud, 2017b).
13.6.3.1 | 2017 Dark Star SMC Test Results |
The 2017 Hazen SMC Test® results for the twelve samples are given in the Metallurgical Report (Simmons, 2019, Appendix 33). The table includes the average rock density, A x b and drop-weight index values that are the direct result of the SMC Test® procedure. The values determined for the Mia, Mih, and Mic parameters and the definitions of these abbreviations developed by SMCT are also presented in the table.
13.6.3.2 | 2017 Dark Star SAG Mill Comminution Test |
The drop weight index ranged from 2.57 to 8.53 kWh/m3, indicating soft to medium-hard material, and is tabulated along with other parameters of the SMC evaluation in Appendix 33 (Simmons, 2019). The range of A x b for the 12 composites spanned a low of 30.7 (moderately hard) to a high of 99.4 (soft) and averaged 49.6.
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13.6.3.3 | 2017 Dark Star Bond Abrasion Index (Ai) Tests |
Bond Abrasion index testing was performed at Hazen on 12 Dark Star composite samples. The Metallurgical Report (Simmons, 2019, Appendix 34) lists the Ai values for the 12 composites that were tested. Ai values ranged from a low of 0.2432 g to a high of 1.2381 g, indicating moderate to high abrasiveness of the materials tested. The silica content of the Dark Star mineralized material is the inferred rock component that contributes to the corresponding high Ai test results.
13.6.3.4 | 2017 Dark Star Comminution Test Summary |
The Dark Star comminution samples tested can be considered amenable to conventional, multi-stage crushing and screening circuit design. Mic, the SMC crusher-component value (average = 6.8 kWh/t), would be ranked in the mid- range of the SMC worldwide database.
The Ai values are modest to high (average = 0.7864 g) and represent the potential for above average rates of wear on crusher liners, screen panels, and conveyor drop boxes.
13.6.4 | 2017 Dark Star Load Permeability Testing |
A portion of tailings material from twenty-four (24) column-leach test was utilized for load permeability test work. The purpose of the load permeability test work was to examine the permeability of the crushed material under compaction loading equivalent to heap heights of 25, 50, 75, and 100 m.
The test cell utilized for modeling the permeability of stacked material at various heap heights was a steel column or cell. Staged axial (vertical) loading of the test material was utilized to simulate the incrementally increased pressure obtained when loading the heap.
Drainage layers were installed at the top and at the base of the column. External load was applied to the charge of material in the column utilizing a perforated steel plate that moved freely within the walls of the column.
Guidelines that KCA utilizes when reviewing the results from this type of test were listed in Section 13.2.4. The results of the Dark Star load permeability test work are summarized in the Metallurgical Report (Simmons, 2019, Appendix 35).
Twenty of the 24 column residues that were tested passed using KCA’s criteria at all simulated heap heights. One sample failed at the 100 m simulated height and three samples failed at the 25 m simulated height.
The Metallurgical Report (Simmons, 2019, Appendix 36) summarizes geologic information and column-residue screen analysis data for the three column residue samples that failed load permeability testing at the 25 m height. Of specific note, these three column-residue samples had the highest percentage of -200-mesh (75 µm) fines reported in the column residue screen analysis, of all 24 residue samples that were tested, and geologic logging of two of the samples identified appreciable amounts of fault and clay material. It is unknown at this time how much of the total mineral resource tonnage may be represented by these three samples, but it is believed to be minor and it is assumed that this material can be blended during mining and processing.
13.7 | 2018 Gold Standard Dark Star HPGR Metallurgical Test Work |
Two Dark Star HPGR composite samples were comprised of selected core samples (Simmons, 2019, Appendix 37) remaining from the 2017 Dark Star bottle-roll and column-leach test program.
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13.7.1 | 2018 Dark Star HPGR Head Assays |
Geological information and head assays for the two 2018 Dark Star HPGR Master Composites are shown in Appendix 37 and 38 (Simmons, 2019).
13.7.2 | 2018 Dark Star HPGR Composite Bottle-Roll and Column-Leach Tests |
The Dark Star HPGR composite samples were subjected to bottle-roll leach testing at target P80 sizes of 38 µm, 75 µm, and 1,700 µm. Column-leach testing was conducted on conventional-crushed material at a P80 of 12.5 mm and on HPGR-crushed samples subjected to low, medium, and high HPGR press forces. The objective of this bottle-roll and column-leach testing was to evaluate the differences in gold extraction, comparing conventional-crush results to HPGR-crush results.
13.7.2.1 | 2018 Dark Star Bottle-Roll Tests on HPGR Composite Samples |
Bottle-roll leach tests were performed on 500 g or 1,000 g portions of head material comminuted to a P80 target size of 1,700 microns (1.70 mm), 75 microns (0.075 mm), and 38 microns (0.038 mm). Bottle-roll tests, wet screening and assay methods were performed with the same procedures outlined in Section 13.6.2. The 2018 bottle-roll results are shown in the Metallurgical Report (Simmons, 2019, Appendix 39).
Bottle-roll cyanide-leach gold extractions are lower for the Dark Star Main composite but appear to be in line with the lower gold head grade material from Dark Star North. Silver extractions are low for both Dark Star Main and North composites, this is expected for the low silver head grades which are of minimal economic significance.
13.7.2.2 | 2018 Dark Star Column-Leach Tests on HPGR Composite Samples |
Column-leach tests were performed on eight HPGR composite-sample charges, four from Dark Star Main and four from Dark Star North, prepared in the following manner sample:
| ● | Conventional crush to target P80 = 12.5 mm |
| ● | HPGR crush at low press force (2.20 N/mm2) setting, P80 = 7,000 µm |
| ● | HPGR crush at medium press force (3.35 N/mm2) setting, P80 = 6,500 µm |
| ● | HPGR crush at high press force (4.30 N/mm2) setting, P80 = 5,000 µm |
The column tests were leached for 80 days with a dilute sodium cyanide solution, utilizing the same procedures as outlined in Section 13.2.2. Column-leach test results are summarized in the Metallurgical Report (Simmons, 2019, Appendix 40); extractions results are based upon the calculated head derived from the loaded carbon assays + tails assays.
For the Dark Star “Main Master Composite #1” gold extractions ranged from 81% (conventional crush) to 86% (HPGR average, all pressure settings) based upon calculated heads ranging from 0.709 g Au/t to 0.736 g Au/t. Sodium cyanide consumption ranged from 0.76 kg/t to 0.84 kg/t and hydrated-lime consumption ranged from 1.01 kg/t to 1.04 kg/t.
For the Dark Star “North Master Composite #2” gold extractions ranged from 86% (conventional crush) to 91% (HPGR high pressure) based upon calculated heads ranging from 1.20 g Au/t to 1.70 g Au/t. Sodium cyanide consumption ranged from 0.59 kg/t to 0.89kg/t and hydrated lime consumption ranged from 1.00 kg/t to 1.03 kg/t.
A graphical comparison of gold extraction from conventionally-crushed versus HPGR-crushed sample charges, from the Dark Star Main Master Composite #1, is shown in Figure 13-12.
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Figure 13-12: 2018 Dark Star Main - Conventional Crush vs. HPGR Gold Extraction
The green line in Figure 13-12 is provided for benchmarking purposes and represents the original 2017 Phase 1 conventional-crush gold extraction results by weight-averaging the variability composite samples that were included in the Dark Star Main Master Composite #1. The blue line represents conventional-crush gold extraction results on HPGR Master Composite #1 from the 2018 HPGR tests. The magenta triangles represent gold-extraction results for the three HPGR Master Composite #1 column-leach tests at low, medium, and high HPGR press forces.
A graphical comparison of gold extraction for conventionally-crushed versus HPGR-crushed sample charges from the Dark Star North Master Composite #2 is shown in Figure 13-13. The green and blue lines and the magenta triangles represent, respectively: the original 2017, Phase 1, conventional-crush gold-extraction results by weight averaging the variability composite samples that were included in the Dark Star North Master Composite #2, the conventional-crush gold extraction results from HPGR Master Composite #2 in the 2018 HPGR tests, and gold extraction results from the three HPGR Master Composite #2 column-leach tests at low, medium, and high HPGR press forces.
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Figure 13-13: Dark Star North - Conventional Crush vs. HPGR Gold Extraction
The Dark Star Main HPGR column-leach gold extractions are significantly higher than the conventional-crushed column charge. The Dark Star North HPGR gold extractions are only marginally higher than the conventional-crushed composite at similar P80’s. While it is relatively simple to design a flowsheet to produce any specific P80 particle size from conventional crushing, it is not for HPGR comminution. The P80’s shown in Figure 13-12 and Figure 13-13 represent a close approximation to the product size that would be produced in a commercial HPGR comminution circuit.
13.7.3 | 2018 Dark Star Main & North HPGR-Crushed Load Permeability Testing |
All column-leach charges were leached without cement addition or agglomeration for this phase of testing. Column- leach residues were subjected to evaluation of percent slump maximum percolation rate and load permeability tests. Results are shown respectively in Appendix 41, 42, and 43 (Simmons, 2019).
The medium press-force column-leach residue from Dark Star Main HPGR Master Composite #1 failed load permeability testing at all heights. The medium and high press-force column-leach residues from two of the Dark Star North HPGR Master Composite #2 charges failed at all heights. All other column-leach residues passed at all heights tested. It is recommended that future testing continue to evaluate cement agglomeration on HPGR-comminuted samples to support heap heights of at least 50 m, and possibly 75 m.
13.8 | 2019 Gold Standard Dark Star Deposit Metallurgical Test Work |
In 2018 Gold Standard commissioned KCA to complete a bottle roll, conventional crush and HPGR crush column leach metallurgical test program on 2017-2018 drill core composite samples from the Dark Star Main and North deposits. Test results are documented in KCA (2019b).
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13.8.1 | 2019 Dark Star Head Assays for Bottle-Roll and Column-Leach Tests |
Head assays and geo-metallurgical characterization analyses were obtained for 50 composites using a combination of four separate laboratories: KCA, ALS, UBC, and FLS. The head assays are tabulated in Appendix 44 through 47 (Simmons, 2019) showing that:
| ● | Gold grade ranged from 0.182 to 5.62 ppm and averaged 1.23 ppm. |
| ● | Silver grade ranged from 0.50 to 3.50 ppm and averaged 1.01 ppm. |
| ● | Organic carbon ranged from 0.01 to 1.13% (sulfide sample) and averaged 0.16%. |
| ● | Sulfide sulfur ranged from <0.01 to 0.83% (sulfide sample) and averaged 0.18%. |
| ● | Preg-robbing analysis ranged from 0.0 to 5.3% and averaged 0.7% (non-preg-robbing). |
| ● | Copper values were very low, ranging from 9 to 43 ppm and averaged 18 ppm. |
| ● | Gold cyanide solubility ranged from 33.4% (sulfide sample) to 100% and averaged 83.2%. |
| ● | Concentrations of deleterious elements by ICP were low: <5 ppm selenium on average, mercury ranged from 0.1.3 to 63.0 ppm (sulfide sample) and averaged 7.8 ppm, and arsenic ranged from 1.1 to 562 ppm with an average of 198 ppm. |
| ● | Concentrations of the primary cyanide consumers were low and suggest minimum potential for effecting cyanide consumption rates. Copper averaged 18 ppm, nickel averaged 36 ppm, and zinc averaged 131 ppm. |
| ● | Whole-rock quartz (SiO2) analyses were high, ranging from 51.4 to 93.7% and averaged 88.3%. |
13.8.2 | 2019 Dark Star Bottle-Roll and Column-Leach Tests at KCA |
Fifty drill core composites were subjected to bottle-roll leach testing at target P80 sizes of 75 µm and 1,700 µm, conventional crush column-leach testing at crush sizes of 12.5 mm and 25.0 mm and six of the fifty composites were HPGR crushed (at medium press) force and column leached. The main objective of the bottle-roll and column-leach testing was to evaluate laboratory-scale leachability of the Dark Star mineral resource in terms of gold extraction, extraction rate, reagent consumption, sensitivity to feed size, and to evaluate comparative differences between conventional crush and HPGR crush Au recovery.
13.8.2.1 | 2019 Dark Star Bottle Roll Tests |
Bottle-roll leach testing was conducted on portions of material from each of the 50 composites. A 500 or 1,000 g portion of head material was crushed to a nominal size of 1,700 µm (1.70 mm) and utilized for leach testing. A second portion of material was milled in a laboratory rod mill to a target size of 80% passing 75 µm (0.075 mm). The milled slurry was then utilized for leach testing. The tests which are described in detail by the laboratory report (KCA 2019b), employed retention times of 144 hours for the 1,700 µm material and 72 hours for the 75 µm material.
Gold Standard has divided the Dark Star deposit into two zones for metallurgical testing: Dark Star Main and Dark Star North. Dark Star metallurgical core holes are color coded by year in Figure 13-14 (below). The 2017 (green) and 2018 (blue) core holes were used in the 2019 bottle-roll and column leach test work.
Gold and silver extraction results are summarized in Appendix 48(75 µm Bottle Rolls), Appendix 49(1,700 µm Bottle Rolls), Appendix 50 (Conventional Crush Columns), and Appendix 51(HPGR Crush Columns) from the Metallurgical Report (Simmons, 2019). Dark Star zones from which composite sample material originated is shown in Figure 13-14.
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Figure 13-14: Location Map for 2017-8 Dark Star Metallurgical Composites
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The following is a summary of the findings from the 2019 Dark Star bottle roll test results:
13.8.2.2 | 2019 Dark Star 75 µm (200 Mesh) Bottle-Roll Results |
Dark Star 200-mesh bottle-roll gold and silver extraction results are shown in the Metallurgical Report (Simmons, 2019, Appendix 48). Gold head grades for the 200-mesh composite samples ranged from 0.18 to 5.85 ppm Au with an average of 1.19 ppm Au. Gold extraction ranged between 24.7 and 96.1% and averaged 80.8%. Three of the composites were sulfide/carbon refractory with gold cyanide solubility <60%, 20 of the composites were transitional with gold cyanide solubility >60% and <85%, and 27 of the composites were oxide with AuCN solubility >85%.
Silver grades are very low at Dark Star. Silver head grades for the 75 µm composites ranged from 0.31 to 2.81 ppm Ag with an average of 0.87 ppm Ag. Silver extraction ranged from 7.3 to 85.4% and averaged 42.7%. Cyanide consumption averaged 0.90 kg/t and lime consumption averaged 1.08 kg/t.
13.8.2.3 | 2019 Dark Star 1,700 µm (10 Mesh) Bottle-Roll Results |
Dark Star 10-mesh bottle roll gold and silver extraction results are shown in the Metallurgical Report (Simmons, Appendix 49). Gold head grades for the 1,700 µm composite samples ranged from 0.15 to 5.89 ppm Au with an average of 1.15 ppm Au. Gold extraction ranged between 26.0 and 94.5% and averaged 75.0%. Three of the composites were sulfide/carbon refractory with gold cyanide solubility <60%, 20 of the composites were transitional with gold cyanide solubility >60% and <85%, and 27 of the composites were oxide with AuCN solubility >85%.
Silver grades are very low at Dark Star. Silver head grades for the 1,700 µm composites ranged from 0.38 to 2.77 ppm Ag with an average of 1.25 ppm Ag. Silver extraction ranged from 4.3 to 67.1% and averaged 24.9%.
Cyanide consumption averaged 0.59 kg/t and lime consumption averaged 1.27 kg/t.
13.8.2.4 | 2019 Dark Star 12.5 mm and 25.0 mm Conventional Crush Column Leach Results |
Eleven of the 2019 composites were column leached utilizing material crushed to 100% passing 19 mm (target P80 =12.5 mm), and thirty-nine composites were crushed to 100% passing 37.5 mm (target P80 = 25 mm) for column leach testing. During testing, the material was leached for 66, 95, 98 or 99 days with dilute NaCN solution and placed, respectively, in columns of 100 mm and 150 mm diameters. After leaching, each test was washed for four days with water. A portion of the tailings material from each column-leach test was utilized for tail screen analyses with assays by size fraction. Column-leach gold and silver extraction results are based upon pregnant solution carbon assays and tails screen assays and are summarized in the Metallurgical Report (Simmons, 2019, Appendix 50).
Seven of the columns were agglomerated with 2 kg/t of cement in the laboratory column set-up. Column-leach extraction results were calculated based upon loaded carbon assays and tails screen assays. Calculated gold head grades for the 50 columns ranged from 0.19 to 5.39 ppm Au with an average of 1.32 ppm Au. Gold extraction ranged between 28.4 and 94.7% with an average of 74.5%.
| ● | Three of the column-leach composites were sulfide/carbon refractory with gold cyanide solubility <60%. Gold extraction ranged from 28.4 to 39.9% and averaged 35.1%. |
| ● | Twenty of the column-leach composites were transitional with gold cyanide solubility >60% and <85%. Gold extraction for these columns ranged from 47.5 to 84.7% and averaged 67.2%. |
| ● | Twenty-seven of the column-leach composites were oxide with gold cyanide solubility >85%. Gold extraction for these columns ranged from 63.3 to 94.7% and averaged 84.4%. |
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Calculated silver head grades for the 50 columns ranged from 0.41 to 2.90 ppm Ag with an average of 1.17 ppm Ag. Silver extraction results ranged between 12.0 and 76.1% with an average of 35.5%. Silver head grades for Dark Star are very low and of minimal economic significance.
Cyanide consumption averaged 0.95 kg/t and lime consumption averaged 0.92 kg/t. Commercial scale ROM cyanide consumptions are expected to be in the range of 25 to 33% of laboratory-scale test results. Laboratory lime consumptions are assumed to be similar to commercial-scale consumptions.
Gold extraction versus days under leach for the 50 column-leach tests are shown graphically in Figure 13-15.
13.8.2.5 | 2019 Dark Star HPGR Crush (Medium Press Force) Column Leach Results |
Seven duplicate splits from the fifty 2019 composites were HPGR Crushed using medium press force conditions and column leached under the same conditions as their conventional crush column pairs. After leaching, each test was washed for four days with water. A portion of the tailing material from each column-leach test was utilized for tail screen analyses with assays by size fraction.
Column-leach gold and silver extraction results are based upon pregnant solution carbon assays and tails screen assays and are summarized in the Metallurgical Report (Simmons, 2019, Appendix 51).
Plots of the laboratory column leach gold extractions, for the HPGR and conventionally crushed composites are shown in Figure 13-15.
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Figure 13-15: 2019 Dark Star Column-Leach Gold Extraction vs. Days under Leach
13.8.3 | 2019 Dark Star Comminution Characterization at Hri |
Thirteen of the 2019 Dark Star drill core samples were selected for comminution test work. These samples were splits from metallurgical composites and represent major material types. They were subjected to the modified SMC Test at HRI to generate data for SMC parameters; Mic by JKTech and Ai testing was also completed. A final letter report was issued: Comminution Testing, Hazen Project 12620 Report and Appendices A and B – February 11, 2019 (Stepperud, 2019b).
13.8.3.1 | 2019 Dark Star SMC Test Results |
The 2019 Hazen SMC Test® results for the thirteen samples are given in the Metallurgical Report (Simmons, 2019, Appendix 52). This table includes the average rock density, A x b and drop-weight index values that are the direct result of the SMC Test® procedure. The values determined for the Mia, Mih, and Mic parameters, and the definitions of these abbreviations developed by SMCT are also presented in this table.
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13.8.3.2 | 2019 Dark Star SAG Mill Comminution Test |
The drop weight index ranged from 2.05 to 9.62 kWh/m3, indicating soft to medium-hard material, and is tabulated along with other parameters of the SMC evaluation in Appendix 52 (Simmons, 2019). The range of A x b for the 12 composites spanned a low of 34.6 (moderately hard) to a high of 123.3 (soft) and averaged 49.3.
13.8.3.3 | 2019 Dark Star Bond Abrasion Index (Ai) Tests |
Bond Abrasion index testing was performed at Hazen on thirteen Dark Star composite samples. Appendix 53 from the Metallurgical Report (Simmons, 2019) lists the Ai values for the 13 composites that were tested. Ai values ranged from a low of 0.0306 g to a high of 1.1656 g, indicating very soft to high abrasiveness of the materials tested. The silica content of the Dark Star mineralized material is the inferred rock component that contributes to the corresponding high Ai test results.
13.8.3.4 | 2019 Dark Star Comminution Test Summary |
The Dark Star comminution samples tested can be considered amenable to conventional, multi-stage crushing and screening circuit design. Mic, the SMC crusher-component value (average = 6.8 kWh/t), would be ranked in the mid-range of the SMC worldwide database.
The Ai values range from low to high (average = 0.6895 g) and represent the potential for average to above average rates of wear on crusher liners, screen panels and conveyor drop boxes.
13.8.4 | 2019 Dark Star Load Permeability Testing |
A portion of material from fifteen (15) conventionally crushed column-leach residues and four (4) HPGR crushed column residues were utilized for load permeability testing. The purpose of the load permeability test work was to examine the permeability of the crushed material under compaction loading equivalent to heap heights of 25, 50, 75, and 100 m.
Test cell set up and guidelines for interpreting load permeability results have been described earlier in this Technical Report. Refer to Section 13.2.4 for details.
All fifteen conventional crush column residues passed at simulated heap heights up to 100 meters except for the column residue from composite DS17-07 #94, which failed at 75 and 100-meter simulated heap height, using the KCA criteria. See Appendix 54 in the Metallurgical Report (Simmons, 2019) for a summary of the conventional crush load permeability test results.
All four HPGR crush column residues passed at simulated heap heights of 75 meters. Three of the four column residues were agglomerated with 6 kg/t of cement and failed at 100 meters, using the KCA criteria. See Appendix 55 in the Metallurgical Report (Simmons, 2019) for a summary of the HPGR load permeability test results.
13.9 | 2020 Gold Standard Pinion Deposit Transition Metallurgical Testing |
In 2020, three variability composites, targeting transition ore from the Pinion deposit, were made from intervals selected from 5 core holes (PC19-04, PC19-05, PC19-06, PC19-12 and PC19-13). Drill hole locations for the three composites are shown in Figure 13-16 (highlighted in yellow).
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These composites were used for conventional and HPGR column-leach and bottle-roll testing at KCA in Reno, Nevada, and results are documented in a final report by KCA (2020).
Figure 13-16: Pinon Metallurgical Core Hole Locations
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13.9.1 | 2020 Pinion Variability Composite Head Assays |
Head assays and geo-metallurgical characterization were conducted on all composites using three separate laboratories: KCA, ALS Laboratory Group (ALS), and University of British Columbia (“UBC”). Table 13-6 summarizes gold, silver carbon and sulfur assays.
Table 13-6: Variability Composite Head Assays
| | | Head Assays |
KCA Sample No. | Description | Zone | Au & Ag Assays | Sulfur and Carbon Species | Preg- robb % |
AuFA ppm | AuCN % | Ag ppm | AgCN % | Cu ppm | C(tot) % | C(org) % | S(total) | S= | SO4 |
% | % | % |
Phase 4 - Variability Composites | | | | | | | | | | | |
84851 A | PW#61-Trans | PW | 0.326 | 85.9 | 2.00 | 74.5 | 30 | 0.16 | 0.01 | 2.46 | 0.03 | 2.43 | -3.8% |
84852 A | PE#62-Trans | PE | 0.942 | 82.8 | 10.40 | 56.9 | 25 | 0.60 | 0.35 | 1.49 | 0.20 | 1.29 | 0.5% |
84853 A | PE#63-Trans | PE | 1.260 | 36.5 | 5.90 | 36.6 | 35 | 0.28 | 0.05 | 4.27 | 0.97 | 3.30 | 5.8% |
| | | | | | | | | | | | | |
Note: The search for targeted transitional Pinion ore types (AuCN >50%, <70%) was unsuccessful. Two of the composites were oxide and one was sulfide. The oxide composites were added to the oxide database and incorporated into the updated Au and Ag recovery models.
ICP multi-element, whole rock and QXRD analyses are shown in Appendix 1 of Metallurgy Report – South Railroad Feasibility Update (Simmons, 2021). Geo-metallurgical highlights for the three variability composites are summarized below:
| ● | Gold grades ranged from 0.32 to 1.26 ppm and averaged 0.84 ppm; |
| ● | Silver grades ranged from 2.0 to 10.4 ppm and averaged 6.1 ppm; |
| ● | Organic carbon ranged from 0.01 to 0.35% and averaged 0.14%; |
| ● | Sulfide sulfur ranged from 0.03 to 0.97% and averaged 0.40%; |
| ● | Preg-robb analyses ranged from -3.80 to 5.8% and averaged 0.80%; |
| ● | Copper values were very low, ranging from 25 to 35 ppm and averaged 30 ppm; |
| ● | Gold cyanide solubility ranged from 36.5 to 85.9% and averaged 68.4%; |
| ● | Concentrations of the deleterious elements were: selenium averaged <5 ppm, mercury averaged of 6.8 ppm, and arsenic levels were low, averaging 299 ppm; |
| ● | Concentrations of the primary cyanide consumers were low and suggest minimum potential for affecting cyanide consumption rates. Copper averaged 30 ppm, nickel averaged 35 ppm, and zinc averaged 98 ppm; |
| ● | Whole-rock silica content ranged from 69.0 to 80.4% and averaged 76.2%. |
13.9.2 | 2020 Bottle Roll and Column Leach Testing (KCA) |
Three drill core composites were subjected to bottle-roll leach testing at target P80 sizes of 75 µm and 1,700 µm, column-leach testing at 12.5 mm and HPGR testing at medium press force. The main objective of this test work was to evaluate the laboratory-scale leachability character of the Pinion transition resources in terms of gold extraction, extraction rate, reagent consumption, and sensitivity to feed size.
The bottle-roll testing used a standard procedure that is described in the final laboratory report (KCA 2020a), using 144 hours of retention time for 1,700 µm tests, and 96 hours for 75 µm tests.
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Column-leach tests were conducted utilizing material crushed to target P80’s and placed in columns of 10 cm diameters. Conventional column and HPGR column leach material was leached for 94 days with a dilute 0.50 g/l NaCN solution. After leaching, each column was washed for four days with water. A portion of the leached and washed material (“tailings”) from each column was assayed for “tail screen” analyses by size fraction.
Select geological information for the composites, together with feed sizes, retention times, reagent consumptions, and gold and silver extractions are shown in Table 13-7.
Table 13-7: 2020 Pinion Variability Composite Column and Bottle Roll Leach Test Results
KCA Sample No. | Test No | Description | GSV Geology | Feed Size | Leach Time (hrs / days) | Cement Add’n Kg/t | Au Balance | Ag Balance | Re agents |
Zone | Form. | Rock Type 1 | Vein 1 | Target p80(mm) | Screen p80(mm) | Au Ext % | Calc Hd Au (ppm) | Ag Ext % | Calc Hd Ag (ppm) | Nacn kg/t | Lime Kg/t |
PHASE 4- Transition Testing | | | | | | | | | | | | | | |
84851 A | 89032 | PW#61-Trans | PW | mlbx | ls | qzv | HPGR | 6,300 | 94d | 2.1 | 63.9 | 0.377 | 39.5 | 3.040 | 1.53 | 0.00 |
84851 A | 89041 | PW#61-Trans | PW | mlbx | ls | qzv | 12,500 | 12,200 | 94d | 0.0 | 51.0 | 0.343 | 34.3 | 2.800 | 1.39 | 0.98 |
84851 A | 89018A | PW#61-Trans | PW | mlbx | ls | qzv | 1,700 | 1,560 | 144 | | 61.8 | 0.353 | 38.8 | 2.500 | 0.20 | 0.75 |
84851 A | 89050A | PW#61-Trans | PW | mlbx | ls | qzv | 75 | 62 | 72 | | 76.3 | 0.379 | 62.8 | 3.010 | 0.24 | 0.75 |
| | | | | | | | | | | | | | | | |
84852 A | 89035 | PE#62-Trans | PE | mlbx | s tmic | ccv | HPGR | 6,100 | 94d | 2.0 | 68.9 | 0.939 | 43.4 | 12.060 | 1.18 | 0.00 |
84852 A | 89044 | PE#62-Trans | PE | mlbx | s tmic | ccv | 12,500 | 11,600 | 94d | 0.0 | 63.8 | 0.910 | 26.0 | 12.170 | 1.43 | 0.99 |
84852 A | 89018B | PE#62-Trans | PE | mlbx | s tmic | ccv | 1,700 | 1,440 | 144 | | 66.3 | 0.925 | 51.1 | 11.180 | 0.19 | 1.00 |
84852 A | 89050B | PE#62-Trans | PE | mlbx | s tmic | ccv | 75 | 66 | 72 | | 70.7 | 0.891 | 65.5 | 11.640 | 0.53 | 0.73 |
| | | | | | | | | | | | | | | | |
84853 A | 89038 | PE#63-Trans | PE | mlbx | mlbx | bav | HPGR | 5,000 | 94d | 2.0 | 33.0 | 1.326 | 27.3 | 6.090 | 1.25 | 0.00 |
84853 A | 89407 | PE#63-Trans | PE | mlbx | mlbx | bav | 12,500 | 12,100 | 94d | 0.0 | 24.9 | 1.363 | 15.1 | 5.220 | 1.35 | 0.99 |
84853 A | 89018C | PE#63-Trans | PE | mlbx | mlbx | bav | 1,700 | 1,660 | 144 | | 28.3 | 1.382 | 21.7 | 5.750 | 0.39 | 1.00 |
84853 A | 89050C | PE#63-Trans | PE | mlbx | mlbx | bav | 75 | 63 | 72 | | 31.8 | 1.300 | 51.9 | 5.880 | 0.66 | 1.00 |
| | | | | | | | | | | | | | | | |
The following is offered as a summary of the findings from the 2020 column and bottle-roll test results:
2020 Bottle-Roll Tests on 1,700 µm Composite Samples
Gold head grades for the composites ranged from 0.35 to 1.38 ppm Au, with an average of 0.89 ppm Au. Gold extraction ranged from 28.3 to 66.3% and averaged 52.1%.
Silver head grades for the composites ranged from 2.5 to 11.2 ppm Ag, with an average of 6.5 ppm Ag. Silver extraction ranged from 21.7 to 51.1% and averaged 37.2%.
Cyanide consumption averaged 0.26 kg/t and lime consumption averaged 0.91 kg/t.
2020 Bottle-Roll Tests on 75 µm Composite Samples
Gold head grades for the composites ranged from 0.38 to 1.30 ppm Au, with an average of 0.86 ppm Au. Gold extraction ranged from 31.8 to 76.3% and averaged 59.6%.
Silver head grades for the composites ranged from 3.0 to 11.6 ppm Ag, with an average of 6.8 ppm Ag. Silver extraction ranged from 51.9 to 65.5% and averaged 60.1%.
Cyanide consumption averaged 0.48 kg/t and lime consumption averaged 0.83 kg/t.
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2020 Conventional Column-Leach Tests on Composite Samples
Column-leach test extraction results were calculated based upon loaded carbon assays and tails assays. Gold head grades for the three 12.5 mm column composites ranged from 0.34 to 1.36 ppm Au (average = 0.87 ppm Au). Gold extraction ranged from 24.9 to 63.8% and averaged 46.3%.
Silver head grades for the three 12.5 mm column-leach composites ranged from 2.8 to 12.2 ppm Au and averaged 6.7 ppm Ag. Silver extraction results ranged from 15.1 to 34.3% and averaged 25.1%.
Cyanide consumption averaged 0.1.39 kg/t and lime consumption averaged 0.99 kg/t.
2020 HPGR Column-Leach Tests on Composite Samples
Column-leach test extraction results were calculated based upon loaded carbon assays and tails assays. Gold head grades for the three HPGR medium press force column composites ranged from 0.38 to 1.33 ppm Au (average = 0.88 ppm Au). Gold extraction results ranged between 33.0 to 68.9%, with an average of 55.3%.
Silver head grades for the three HPGR medium press force column-leach composites ranged from 3.0 to 11.6 ppm Au and averaged 7.1 ppm Ag. Silver extraction results ranged between 27.3 and 43.4% and averaged 36.7%.
Cyanide consumption averaged 1.32 kg/t, lime consumption averaged 0.00 kg/t and cement addition averaged 2.0 kg/t.
KCA advises that commercial-scale cyanide consumption typically runs in the range of 25 to 33% of laboratory consumption.
Gold extraction plotted by days under leach for the column-leach tests are shown graphically in Figure 13-17.
Figure 13-17: 2020 Gold Extraction vs. Days under Leach for Conventional and HPGR Column-Leach Tests
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13.10 | Gold Standard 2020 Hpgr Feasibility Composites – Pinion and Dark Star Samples Tested by Thyssen-Krupp Industrial Solutions |
Gold Standard commissioned KCA and Thyssen-Krupp Industrial Solutions (TKIS) to perform feasibility level HPGR testing on two composites from the Pinion deposit and two from the Dark Star Deposit.
TKIS conducted semi-industrial scale MAGRO-HPGR testing and ATWAL abrasion testing, from splits of composites prepared by KCA in Reno, Nevada and shipped to Thyssen-Krupp’s Industrial Solutions AG Research Center in Germany. Test results are documented in their final report (TKIS 2020), dated July, 21, 2020.
ATWAL abrasion testing was conducted on the following four samples:
| 1. | Dark Star KCA Sample No. 84847 C, Dark Star Main (DSM) HPGR Feasibility #1 (Hi Si). |
| 2. | Dark Star KCA Sample No. 84848 B, Dark Star North (DSN) HPGR Feasibility #2 (Hi Si). |
| 3. | Pinion KCA Sample No. 84849 C, Pinion East (PE) HPGR Feasibility #1. |
| 4. | Pinion KCA Sample No. 84850 B, Pinion West (PW) HPGR Feasibility #2. |
MAGRO large scale HPGR testing was conducted on:
| 1. | Dark Star KCA Sample No. 84847 B, DSM HPGR Feasibility #1 (Hi Si). |
| 2. | Pinion KCA Sample No. 84849 B, PE HPGR Feasibility #1. |
The MAGRO-HPGR final products were sent to KCA in Reno for column leach testing to determine gold and silver extraction.
KCA conducted bottle rolls, conventional column leaching, PILOTWAL-HPGR and MAGRO-HPGR column leaching testing in their Reno, Nevada testing facility. Test results are reported in their final report (KCA 2021), dated March 2021.
Metallurgical core drill locations for the Dark Star and Pinion Feasibility HPGR Composites are shown in Figure 13-18 through Figure 13-21 below. Pinion HPGR Feasibility drill hole numbers and locations are shown in yellow.
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Figure 13-18: Pinion East HPGR Feasibility #1 Core Hole Location Map (Hi Ba and Hi Si low recovery zone)
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Figure 13-19: Pinion West HPGR Feasibility #2 Core Hole Location Map (higher recovery zone)
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Figure 13-20: Dark Star Main HPGR Feasibility #1 Core and Hammer Sample Locations
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Figure 13-21: Dark Star North Feasibility #2 Core Sample Locations
13.10.1 | 2020 Thyssen-Krupp testing on Dark Star and Pinion HPGR Feasibility Composites |
The Dark Star and Pinion HPGR Feasibility composites were comprised of intervals from PQ-diameter core holes (Pinion and Dark Star) and additional mass was taken from trench hammer samples at Dark Star to achieve the minimum weight requirements for the test program.
Kappes, Cassiday Associates performed initial sample preparation on the Dark Star and Pinion PQ core and on the Dark Star trench samples, in their Reno, Nevada laboratory before shipping splits to TKIS in Germany.
Thyssen-Krupp’s scope-of-work was to investigate the suitability of HPGR’s for the comminution on the Dark Star and
Pinion ore samples.
The results of this test work is described in their report (TKIS 2020). Objectives of the conducted tests on a semi- industrial HPGR unit (MAGRO) were as follows:
| ● | Determination of the optimum grinding force to achieve a certain product fineness. |
| ● | Determination of the absorbed energy at the required grinding force. |
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The results of the test work provide the basis for the following aspects:
| ● | Sizing of full scale industrial HPGR’s, in order to match the throughput and fineness requirements. |
| ● | Simulation of the industrial HPGR discharge particle size distribution achievable on full scale HPGR’s |
Abrasion tests on a lab scale HPGR were conducted in order to determine the abrasiveness of the ore in relation to high pressure grinding rolls and to establish the data required to estimate the lifetime of the wear protection in an industrial HPGR.
13.10.1.1 | Key Parameters for Sizing of High-Pressure Grinding Rolls |
The objectives in sizing HPGRs are to meet the throughput requirements and to achieve a certain product fineness. The key parameters are therefore the specific throughput rate and the specific press force which should be applied to obtain the desired comminution result.
Definitions, formulas and description for specific throughput rate, specific press force and specific energy input are described in detail in the Thyssen-Krupp report (TKIS, 2020).
13.10.1.2 | Description of Test Facilities |
The ATWAL abrasion test procedure is applied to determine the wear rates of different ores in HPGR’s. The ATWAL is fed with 100 kg of material for per test run. The weight of the rolls is measured before and after the test. The specific wear rate is then calculated as the ratio of the “loss of weight of the rolls” divided by the amount of material tested. Pictures of the equipment and a more detailed information can be found in the (TKIS 2020) report.
The MAGRO equipment is a semi-industrial scale HPGR, equipped with a 0.95 m diameter by 0.35 m wide studded roll. Process data obtained from test work allow for sizing of industrial scale machines.
MAGRO data logging includes:
| ● | Zero gap, Cake thickness |
| ● | Preset nitrogen pressure |
| ● | Operating hydraulic pressure |
| ● | Circumferential speed of rolls |
These data allow for the calculation, using computer analysis, of important process data such as:
| ● | Specific throughput rate |
| ● | Grinding force and specific energy input |
| ● | Required for achieving a certain product fineness |
A picture of the ATWAL HPGR and more detailed information obtained from the testing of Dark Star and Pinion Feasibility composites are in the (TKIS, 2020) final report.
13.10.1.3 | Provided Samples |
Six samples were provided by KCA to TKIS in Germany, as shown in Table 13-8.
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Table 13-8: Dark Star and Pinion HPGR Feasibility Composites Delivered to TK Industrial Solutions AG
Test Work Outline | No. of Samples | Dark Star KCA Sample No. 84847 C, DSM_ HPGR Feas #1 (Hi Si) | Dark Star KCA Sample No. 84848 B, DSN_HPGR Feas #2 (Hi Si) | Pinion KCA Sample No. 84849 C, PE_HPGR Feas #1 | Pinion KCA Sample No. 84850 B, PW_HPGR Feas #2 | Dark Star KCA Sample No. 84847 B, DSM_HPGR Feas #1 (Hi Si) | Pinion KCA Sample No. 84849 B, PE_HPGR Feas #1 (Hi Ba & Hi Si) |
| | | | | | | |
ATWAL, 1% and 3% Moisture at 4 N/mm2 | 2 | 314.1kg | 311.2kg | | | | |
| | | | | | | |
ATWAL, 1% and 3% Moisture at 4 N/mm2 | 2 | | | 301.5kg | 306.8kg | | |
| | | | | | | |
MAGRO, Single Pass Test, Pressure & Moisture TBD | 1 | | | | | 664.4kg | |
| | | | | | | |
MAGRO, Single Pass Test, Pressure & Moisture TBD | 1 | | | | | | 655.0kg |
| | | | | | | |
| | | | | | | |
KCA Sample No. | 1 | 84847 C | 84848 C | 84849 C | 84850 B | 84847 B | 84849 B |
TKIS Test No. | | A1, A2 | A3,A4 | A5, A6 | A7,A8 | M1, M2 | M3, M4 |
All samples were provided in the size of <31.5 mm. For the abrasion tests the material had to be pre-crushed to 3.15 mm.
The bulk density for the ore to the MAGRO feed was 1.546 t/m3 for the Dark Star sample and 1.609 t/m3 for the Pinion sample.
The ore densities were 2.566 t/m3 for the Dark Star sample and 2.649 t/m3 for the Pinion sample.
ATWAL Test Results
Four ATWAL abrasion tests were carried out on the ore. The tests were conducted on minus 3.15 mm pre-crushed samples. The specific grinding force was set to 4 N/mm² and the moisture was varied between 1 and 3%. Results of the ATWAL tests are summarized in Table 13-9.
Table 13-9: ATWAL Abrasion Test Results
Gold Ore | Test | Top Feed Sise (mm) | Moisture (% H2O) | Grinding Force (N/mm2) | Wear Rate (g/t) | Wear Rate (mm/rev) |
84847C | A1 | 3.15 | 1.0 | 4 | 58.65 | 13.31 |
84847C | A2 | 3.15 | 3.0 | 4 | 72.64 | 14.09 |
84848B | A3 | 3.15 | 1.0 | 4 | 113.72 | 22.77 |
84848B | A4 | 3.15 | 3.0 | 4 | 129.45 | 21.19 |
84849C | A5 | 3.15 | 1.0 | 4 | 69.14 | 12.66 |
84849C | A6 | 3.15 | 3.0 | 4 | 81.93 | 13.93 |
84850 | A7 | 3.15 | 1.0 | 4 | 53.04 | 10.18 |
84850 | A8 | 3.15 | 3.0 | 4 | 41.78 | 10.39 |
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The gold ore was classified as “highly abrasive” for all tested samples. The wear rates determined are given in “g/t” (loss of wear material per metric ton treated). They refer to Nihard IV as wear material and to the particular test conditions. It is important to keep in mind though that the wear rate determined is not the wear rate to be expected for industrial operation. The scale-up of the test results in order to estimate the service life of industrial wear protection surfaces has to take into account the final roll diameter and speed, type and length of the studs employed, as well as the characteristics of the feed material, i.e. size distribution and moisture. The scale-up is founded on a data basis collected on various ores treated in industrial High Pressure Grinding Rolls. Projected wear life needs to be confirmed once the final process and machine parameters have been defined.
MAGRO Test Results
Semi Industrial MAGRO HPGR tests were conducted on a “single pass” basis at different pressure settings and constant feed moisture.
The objectives of the “single pass” tests were to determine the influence of the specific grinding force on the product fineness.
The tested feed material size was <31.5 mm for the two tested samples. The speed of the rolls was kept constant at 0.20 m/s during the tests. The applied specific grinding forces were in the range of 3.5 to 4.5 N/mm2. The feed moisture was constant at 3%.
The feed and product particle size distributions were analyzed by dry screening. The center and edge portion of the MAGRO discharges were collected separately. Both fractions were analyzed individually. The product was disagglomerated in a rotating drum prior to size analysis in order to break up agglomerates (cakes).
The MAGRO test results are summarized in Table 13-10.
Table 13-10: Summary of MAGRO Semi-industrial Test Results
Test | Feed Size | Moisture | Specific | Specific | Net | Working | Specific | Fineness (Center) | Fineness (discharge) |
Feed | Disch. | Force | Energy (dry) | Power | Gap | Throughput(dry) | % -200µm | % <1mm | % <6.3mm | % -200µm | % <1mm | % <6.3mm |
% | % | N/mm2 | kWh/t | kW | (mm) | t*s/(m3*h) | % | % | % | % | % | % |
| Dark Star | | | | | | | | | | | | | |
Feed | | | | 0 | 0 | | | | 4.7 | 8.6 | 23.4 | 4.7 | 8.6 | 23.4 |
M1 | -32mm | 3.0 | 2.8 | 3.5 | 1.8 | 30.5 | 24.9 | 239.4 | 24.3 | 40.5 | 79 | 20.8 | 35.2 | 70.9 |
M2 | -32mm | 3.0 | 3.1 | 4.5 | 2.4 | 38.8 | 23.7 | 233.2 | 25.6 | 43 | 82.9 | 21.6 | 37 | 73.5 |
| | | | | | | | | | | | | | |
| Pinion | | | | | | | | | | | | | |
Feed | | | | 0 | 0 | | | | 2.8 | 5.5 | 16.9 | 2.8 | 5.5 | 16.9 |
M1 | -32mm | 3.0 | 2.9 | 3.5 | 1.8 | 33.3 | 24.9 | 259.2 | 18.1 | 35.6 | 78 | 16.7 | 32 | 69.8 |
M2 | -32mm | 3.0 | 2.8 | 4.5 | 2.1 | 37.8 | 23.5 | 252.8 | 25.2 | 41.3 | 78.3 | 22.8 | 37.4 | 71.3 |
The specific throughput varied for all truncated feed tests between 233 and 239 t*s/(m³*h) for the Dark Star sample and between 253 and 259 t*s/(m³*h) for the Pinion sample. The specific grinding force had a minor impact on the specific throughput rate.
Higher grinding forces resulted in a higher power absorption of the material and consequently in a higher specific energy input. The specific energy input was between 1.8 and 2.4 kWh/t for the tested samples.
Specific energy input at 3.5 N/mm² was 1.83 kWh/t for the Dark Star sample and 1.72 kWh/t for Pinion sample.
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13.11 | 2021 Kca Dark Star and Pinion Bottle Roll, Conventional Crushed Column and Pilotwal Hpgr Crushed Column Leach Testing on Feasibility Composites |
In January 2020, the laboratory facility of KCA in Reno, Nevada received fourteen (14) pallets of material from the Dark Star and Pinion projects containing intervals of whole, split and broken PQ core as well as surface hammer samples. Refer to Figure 13-18 through Figure 13-21 for Dark Star and Pinion HPGR Feasibility Composites locations.
The material was then combined into four (4) samples. A portion from each separate sample was conventionally crushed utilizing laboratory scale jaw crushers. Additionally, a portion of each sample was crushed utilizing a High Pressure Grinding Roll (PILOTWAL HPGR). Splits of the four samples were also shipped to ThyssenKrupp Industrial Solution’s (TKIS) laboratory facility in Germany for HPGR crushing (MAGRO HPGR) and ATWAL abrasion testing.
A description of the received material is presented in Table 13-11.
Table 13-11: HPGR Feasibility Composite Descriptions
KCA Sample No. | Client I.D. | Zone | Received Weight, kg |
84847 A | DSM_HPGR Feas#1(Hi Si) | Ox-Main | 2323.14 |
84848 A | DSN_HPGR Feas#2(Hi Si) | Ox-North | 2596.86 |
84849 A | PE -HPGR Feas#1 | Ox-East | 1911.22 |
84850 A | PW-HPGR Feas#2 | Ox-West | 2559.72 |
A portion of the head material for each separate sample was crushed to a target size of 80% passing 1.70 millimeters. From the blended 1.70 millimeter material, portions were split out and individually ring and puck pulverized to a target grind size of 80% passing 0.075 millimeters and assayed (in triplicate) for gold and silver content by standard fire assay and wet chemistry methods.
The head material was also assayed semi-quantitatively for an additional series of elements (ICP Analysis) and for whole rock constituents. Additional head material was assayed by quantitative methods for carbon, sulfur and mercury. Cyanide shake tests were also conducted on portions of the pulverized head material.
A portion of the pulverized head material was submitted to the University of British Columbia (UBC) for quantitative x- ray diffraction analyses (QXRD).
Partial head assay results are presented in detail in Table 13-12.
Table 13-12: Head Assays for Dark Star and Pinion HPGR Feasibility Composites
| | | Head Assays |
KCA Sample No. | Description | Zone | Au, Ag, Cu, Hg, Pb & Zn Head Assays | Sulfur and Carbon Species |
AuFA ppm | AuCN ppm | AuCN % | Ag ppm | AgCN ppm | AgCN % | Cu ppm | Hg ppm | Pb ppm | Zn ppm | C(tot) % | C(org) % | CO3 % | S(total) | S(sulfide) | Preg- robb, % |
% | % |
HPGR Feasibility Composites | | | | | | | | | | | | | | | | | |
84849 D | PE-HPGR Feas#1 | PE | 0.738 | 0.647 | 87.6 | 8.89 | 7.25 | 81.5 | 24 | 1.4 | 10 | 71 | 0.61 | <0.01 | 3.1 | 2.24 | <0.01 | -5.0% |
84850 D | PW-HPGR Feas#2 | PW | 0.690 | 0.560 | 81.1 | 7.63 | 5.05 | 66.1 | 20 | 7.4 | 14 | 91 | 2.75 | 0.11 | 13.2 | 0.75 | <0.01 | 4.0% |
84847 D | DSM HPGR Feas#1 (Hi Si) | DS Main | 0.777 | 0.673 | 86.6 | 0.78 | 0.39 | 49.4 | 14 | 6.3 | 6 | 85 | 0.11 | 0.10 | 0.50 | 0.28 | 0.14 | 0.0% |
84848 C | DSN HPGR Feas#2 (Hi Si) | DS North | 1.810 | 1.687 | 93.2 | 1.06 | 0.27 | 25.3 | 31 | 3.1 | 17 | 142 | 0.10 | 0.07 | 0.35 | 0.30 | 0.01 | 2.0% |
| | | | | | | | | | | | | | | | | | |
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Head assays in Table 13-12 show sulfide sulfur head assays, ranging from <0.01% to 0.14% demonstrating the oxide character of these composites. The presence of C(org), ranging from <0.01% to 0.11% and the preg-robb assays, ranging from -5.0% to 4.0% (all within assay procedure tolerances) indicate that these composites are non-preg- robbing.
Cu, Hg, Pb and Zn assays are all very low and do not present any issues in heap leach processing of these ore types.
Multi-element ICP, whole rock and QXRD analyses are shown in Appendix 2 of Metallurgy Report – South Railroad Feasibility Update (Simmons, 2021). Geo-metallurgical characterization highlights for the four HPGR Feasibility Composites are summarized below:
| ● | Gold grades ranged from 0.69 to 1.81 ppm and averaged 1.00 ppm; |
| ● | Silver grades ranged from 0.8 to 8.9 ppm and averaged 4.6 ppm; |
| ● | Organic carbon ranged from <0.01 to 0.11% and averaged 0.07%; |
| ● | Sulfide sulfur ranged from <0.01 to 0.14% and averaged 0.04%; |
| ● | Preg-robb analyses ranged from -5.0 to 4.0% and averaged 1.5%; |
| ● | Copper values were very low, ranging from 14 to 31 ppm and averaged 22 ppm; |
| ● | Gold cyanide solubility ranged from 81.1 to 93.2% and averaged 87.1%; |
| ● | Concentrations of the deleterious elements were as follows: selenium averaged <3 ppm, mercury averaged of 4.5 ppm, and arsenic levels were low, averaging 278 ppm. |
| ● | Concentrations of the primary cyanide consumers were low and suggest minimum potential for affecting cyanide consumption rates. Copper averaged 22 ppm, nickel averaged 20 ppm, and zinc averaged 97 ppm; |
| ● | Whole-rock silica (SiO2) for the Pinion composite samples averaged 70.4%. |
| ● | Whole-rock silica (SiO2) for Dark Star composite samples averaged 93.7%. |
13.11.2 | 2021 Dark Star and Pinion Hpgr Feasibility Composite Bottle-roll Testing |
The Dark Star and Pinion HPGR Feasibility composites were subjected to the following cyanide leach procedures:
| 1. | Bottle-roll leach testing at target P80 sizes of 75 µm and 1,700 µm, |
| 2. | Conventional column-leach testing at target P80 of 25 mm, |
| 3. | PILOTWAL HPGR column-leach testing at medium press force and |
| 4. | MAGRO HPGR column leach testing at medium press force. |
The main objective of the bottle-roll and column-leach tests was to evaluate the differences in gold and silver extraction, over a wide range of feed size. In particular comparing conventional-crush laboratory column-leach results to PILOTWAL and MAGRO HPGR crushed materials. Test results are summarized in Table 13-13.
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Table 13-13: Dark Star and Pinion: Bottle Roll and Column Leach Test Results
KCA Sample No. | Test No | Description | GSV Geology | Feed Size | NaCN (g/l) | Leach Time (hrs/d ays) | Cement Add'n lbs/st | Au Balance | Ag Balance | Reagents |
Zone | Formation | Sub Unit | Si Intensity | Ba % | Target P80 (µm) | Screen P80 (µm) | % -200M | Au Ext % | Calc Hd Au (ppm) | Ag Ext % | Calc Hd Ag (ppm) | NaCN kg/t | Lime kg/t |
Pinion Feasibility Composite Testing | | | | | | | | | | | | | | | | | |
89058 A | 89064 | PE-HPGR Feas #1 | PE | mlbx | | 2.7 | 8.43 | MAGRO | 8,000 | 13.2% | 0.5 | 101d | 0 | 73.4 | 0.771 | 34.8 | 9.638 | 0.92 | 0.97 |
89006 A | 89025 | PE-HPGR Feas #1 | PE | mlbx | | 2.7 | 8.43 | PILOTWAL | 5,900 | 12.9% | 0.5 | 96d | 0 | 63.8 | 0.931 | 33.1 | 11.366 | 1.39 | 1.04 |
84849 A | 84865 | PE-HPGR Feas #1 | PE | mlbx | | 2.7 | 8.43 | 12,500 | 25,300 | 1.3% | 0.5 | 125d | 0 | 58.0 | 0.861 | 10.9 | 9.553 | 1.03 | 1.01 |
84849 D | 89001 C | PE-HPGR Feas #1 | PE | mlbx | | 2.7 | 8.43 | 1,700 | 1,990 | | 1.0 | 144 | | 65.5 | 0.713 | 31.0 | 9.487 | 0.10 | 0.75 |
84849 D | 89003 C | PE-HPGR Feas #1 | PE | mlbx | | 2.7 | 8.43 | 75 | 53 | | 1.0 | 72 | | 79.8 | 0.748 | 64.0 | 9.540 | 0.29 | 0.75 |
| | | | | | | | | | | | | | | | | | | |
89007 A | 89028 | PW-HPGR Feas#2 | PW | mlbx | | 2.2 | 2.49 | PILOTWAL | 5,200 | 9.6% | 0.5 | 96d | 2.1 | 76.4 | 0.719 | 42.2 | 9.140 | 1.00 | 0.00 |
84850 A | 84868 | PW-HPGR Feas#2 | PW | mlbx | | 2.2 | 2.49 | 12,500 | 29,300 | 1.2% | 0.5 | 125d | 0 | 67.6 | 0.757 | 28.7 | 9.287 | 1.12 | 1.02 |
84850 C | 89002 A | PW-HPGR Feas#2 | PW | mlbx | | 2.2 | 2.49 | 1,700 | 1,830 | | 1.0 | 144 | | 67.2 | 0.626 | 35.8 | 7.762 | 0.19 | 0.75 |
84850 C | 89003 D | PW-HPGR Feas#2 | PW | mlbx | | 2.2 | 2.49 | 75 | 40 | | 1.0 | 72 | | 75.7 | 0.629 | 53.4 | 8.271 | 0.28 | 0.75 |
| | | | | | | | | | | | | | | | | | | |
Dark Star Feasibility Composite Testing | | | | | | | | | | | | | | | | | |
89054 A | 89061 | DSM HPGR Feas#1(Hi Si) | DS Main | Pp | CGL | 2.8 | | MAGRO | 8,400 | 15.5 | 0.5 | 101 | 3.0 | 84.5 | 0.717 | 13.5 | 0.916 | 1.10 | 0.00 |
89004 A | 89019 | DSM HPGR Feas#1(Hi Si) | DS Main | Pp | CGL | 2.8 | | PILOTWAL | 5,900 | 13.0 | 0.5 | 96 | 3.1 | 85.5 | 0.722 | 19.5 | 0.678 | 1.20 | 0.00 |
84847 A | 84859 | DSM HPGR Feas#1(Hi Si) | DS Main | Pp | CGL | 2.8 | | 25,000 | 25,900 | 2.2 | 0.5 | 125 | 0.0 | 82.4 | 0.743 | 17.5 | 0.920 | 1.07 | 1.02 |
84847 D | 89001 A | DSM HPGR Feas#1(Hi Si) | DS Main | Pp | CGL | 2.8 | | 1,700 | 1,890 | | 1.0 | 144 | | 81.3 | 0.749 | 33.9 | 0.978 | 0.25 | 1.75 |
84847 D | 89003 A | DSM HPGR Feas#1(Hi Si) | DS Main | Pp | CGL | 2.8 | | 75 | 64 | | 1.0 | 72 | | 86.6 | 0.739 | 39.1 | 1.051 | 0.48 | 1.50 |
| | | | | | | | | | | | | | | | | | | |
89005 A | 89022 | DSN HPGR Feas#2 (Hi Si) | DS North | | CGL | 2.9 | | PILOTWAL | 5,200 | 12.8 | 0.5 | 96 | | 90.9 | 2.105 | 27.5 | 0.643 | 1.31 | 1.00 |
84848 A | 84862 | DSN HPGR Feas#2 (Hi Si) | DS North | | CGL | 2.9 | | 25,000 | 25,200 | 0.6 | 0.5 | 125 | | 86.0 | 2.139 | 15.2 | 0.875 | 1.30 | 1.03 |
84848 C | 89001 B | DSN HPGR Feas#2 (Hi Si) | DS North | | CGL | 2.9 | | 1,700 | 2,190 | | 1.0 | 144 | | 84.5 | 1.904 | 17.2 | 0.814 | 0.21 | 1.00 |
84848 C | 89003 B | DSN HPGR Feas#2 (Hi Si) | DS North | | CGL | 2.9 | | 75 | 57 | | 1.0 | 72 | | 92.4 | 1.919 | 23.5 | 0.702 | 0.56 | 0.75 |
| | | | | | | | | | | | | | | | | | | |
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Gold extraction graphical comparisons for the Pinion West HPGR Feasibility Composite #2 are shown in Figure 13-22. The Pinion deposit is envisioned as a ROM leaching of low-grade ore and HPGR crush leaching of high-grade ore. Interpretation of the data shown in Figure 13-22 is provided here:
| ● | The diagonal blue line is a projection of gold extraction %, from 75 microns out to 150,000 microns or 150 mm (ROM feed size). |
| ● | The vertical black line represents a ROM P80 = 150,000 microns (150mm or 6”). Mine to mill fragmentation/blast studies have been conducted to determine powder factors, drill bit diameter and spacing to achieve this. |
| ● | The use of PILOTWAL HPGR crushed to a feed P80 = 5,200 microns, achieves a gold extraction of 76.4%, 12.3% higher than projected ROM leaching. |
Similar gold extraction graphs for all four HPGR Feasibility composites are located in Appendix 3 of Metallurgy Report– South Railroad Feasibility Update (Simmons, 2021).
Figure 13-22: Pinion West Feasibility #2: Feed P80 vs. Au Extraction (%)
Silver extraction graphical comparisons for the same Pinion West HPGR Feasibility Composite #2 are shown in Figure 13-23. The same interpretation, as used for Figure 13-22, is applicable to the information contained in Figure 13-23.
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Figure 13-23: Pinion West Feasibility #2: Feed P80 vs. Ag Extraction (%)
The use of PILOTWAL HPGR crushed material to a feed P80 = 5,200 microns, achieves a silver extraction of 42.2 %, 21.3 % higher than projected ROM leaching.
Similar silver extraction graphs for all of the Pinion composites are located in Appendix 4 of Metallurgy Report – South Railroad Feasibility Update (Simmons, 2021).
Dark Star silver extraction graphs are excluded due to the silver grade being too low to be of economic interest.
13.12 | Gold Standard 2021 – Pinion Phase 4/5 Mine Expansion Variability Composite Testing |
In 2020 thirty (30) variability composites, targeting the Pinion deposit Phase 4 mine expansion area, were made from intervals selected from fifteen (15) core holes. Drill hole locations for the fifteen composites are shown in Figure 13-24 (highlighted in magenta).
All thirty composites were subjected to bottle roll and conventional column-leach testing and ten (10) of the thirty composites were also subjected to medium pressure HPGR column-leach testing at KCA in Reno, Nevada, and results are documented in a final report by KCA (2021B).
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Figure 13-24: Pinion Metallurgical Core Hole Locations
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13.12.1 | 2020 Bottle Roll and Column Leach Testing (KCA) |
Head assays and geo-metallurgical characterization were conducted on all composites using three separate laboratories: KCA, ALS Laboratory Group (ALS), and FL Smidth (“FLS”). Table 13-14 summarizes gold, silver, carbon and sulfur assays.
Table 13-14: Variability Composite Head Assays
| | | Head Assays |
KCA Sample No. | Description | Zone | Au, Ag, Cu, Hg, Pb & Zn Head Assays | Sulfur and Carbon Species |
AuFA ppm | AuCN ppm | AuCN % | Ag ppm | AgCN ppm | AgCN % | Cu pp | C(tot ) | C(org ) | CO3 % | S(total) | S(sulfide) | Preg- robb, % |
% | % |
91701 A | PPh4-#70, Mtp | Mtp | 0.756 | 0.607 | 80.3 | 6.98 | 3.55 | 50.9 | 48 | 0.38 | 0.23 | 1.9 | 0.14 | 0.03 | -1.0% |
91702 A | PPh4-#71, mlbx | PE | 1.043 | 1.020 | 97.8 | #### | 18.68 | 86.3 | 20 | 0.68 | 0.24 | 3.4 | 2.54 | 0.08 | 11.9% |
91703 A | PPh4-#72, mlbx | PE | 0.400 | 0.327 | 81.8 | 4.39 | 2.97 | 67.7 | 28 | 1.33 | 0.22 | 6.7 | 0.15 | <0.01 | 2.0% |
91704 A | PPh4-#73, mlbx | PE | 0.341 | 0.260 | 76.3 | 5.07 | 4.15 | 81.8 | 28 | 0.12 | 0.12 | 0.0 | 0.24 | 0.05 | 6.9% |
91705 A | PPh4-#74, mlbx | PE | 0.535 | 0.413 | 77.2 | 4.05 | 2.54 | 62.8 | 39 | 0.23 | 0.21 | 1.2 | 0.53 | 0.01 | 5.0% |
91706 A | PPh4-#75, Mtp | Mtp | 1.375 | 1.107 | 80.5 | 6.29 | 2.25 | 35.7 | 27 | 2.23 | 0.24 | 11.2 | 0.20 | 0.02 | 2.0% |
91707 A | PPh4-#76, mlbx | PW | 0.929 | 0.840 | 90.4 | 8.50 | 4.84 | 56.9 | 6 | 7.16 | 0.12 | 35.8 | 0.21 | 0.01 | 4.0% |
91708 A | PPh4-#77, Ddg | Ddg | 0.531 | 0.453 | 85.2 | 4.62 | 1.94 | 42.0 | 19 | 6.80 | 0.19 | 34.0 | 0.10 | <0.01 | 2.0% |
91709 A | PPh4-#78, Ddg | Ddg | 0.497 | 0.433 | 87.1 | 1.59 | 0.47 | 29.3 | 10 | 8.23 | 0.10 | 41.2 | 0.02 | <0.01 | -2.0% |
91710 A | PPh4-#79, Mtp | Mtp | 0.714 | 0.420 | 58.8 | 1.45 | 0.53 | 36.7 | 13 | 6.16 | 0.25 | 30.8 | 0.16 | 0.01 | 5.0% |
91711 A | PPh4-#80, mlbx | PW | 0.546 | 0.427 | 78.2 | 8.91 | 5.21 | 58.4 | 34 | 5.21 | 0.23 | 26.1 | 0.05 | <0.01 | 0.0% |
91712 A | PPh4-#81, mlbx | PW | 1.414 | 1.613 | 114.1 | #### | 42.06 | 101.8 | 79 | 0.38 | 0.14 | 1.9 | 3.24 | 0.28 | 16.8% |
91713 A | PPh4-#82, mlbx | PE | 0.939 | 0.867 | 92.3 | 7.47 | 5.95 | 79.6 | 48 | 2.12 | 0.19 | 10.6 | 2.26 | 0.10 | 12.9% |
91714 A | PPh4-#83, Ddg | Ddg | 0.198 | 0.173 | 87.5 | 1.57 | 0.61 | 39.2 | 13 | 7.69 | 0.14 | 38.5 | 0.14 | <0.01 | 4.0% |
91715 A | PPh4-#84, Mtp | Mtp | 2.775 | 2.307 | 83.1 | 5.63 | 2.18 | 38.7 | 32 | 3.20 | 0.25 | 16.0 | 0.29 | <0.01 | -9.9% |
91716 A | PPh4-#85, mlbx | PE | 0.989 | 0.753 | 76.2 | #### | 24.60 | 84.2 | 91 | 0.84 | 0.24 | 4.2 | 0.28 | 0.01 | 7.9% |
91717 A | PPh4-#86, Ddg | Ddg | 0.384 | 0.340 | 88.5 | 2.21 | 1.47 | 66.8 | 5 | 8.27 | 0.25 | 41.4 | 0.13 | <0.01 | 5.9% |
91718 A | PPh4-#87, Mtp | Mtp | 0.339 | 0.233 | 68.6 | 5.01 | 3.42 | 68.3 | 25 | 3.53 | 0.44 | 17.7 | 0.16 | <0.01 | 5.9% |
91719 A | PPh4-#88, mlbx | PE | 0.919 | 0.747 | 81.3 | 8.91 | 4.75 | 53.3 | 50 | 3.46 | 0.43 | 17.3 | 0.17 | <0.01 | 1.0% |
91720 A | PPh4-#89, mlbx | PW | 0.499 | 0.380 | 76.1 | 4.14 | 2.53 | 61.2 | 25 | 5.44 | 0.32 | 27.2 | 0.04 | <0.01 | 5.0% |
91721 A | PPh4-#90, Ddg | Ddg | 0.149 | 0.120 | 80.5 | 1.61 | 0.79 | 49.0 | 13 | 10.10 | 0.27 | 50.5 | 0.06 | 0.01 | 5.9% |
91722 A | PPh4-#91, mlbx | PW | 0.395 | 0.340 | 86.0 | 3.67 | 1.62 | 44.2 | 38 | 5.18 | 0.20 | 25.9 | 0.07 | <0.01 | 1.0% |
91723 A | PPh4-#92, mlbx | PW | 1.655 | 1.467 | 88.6 | #### | 30.33 | 77.4 | 15 | 3.83 | 0.41 | 19.2 | 0.17 | 0.01 | 1.0% |
91724 A | PPh4-#93, mlbx | PW | 1.889 | 1.653 | 87.5 | #### | 42.07 | 68.3 | 24 | 1.39 | 0.43 | 7.0 | 0.07 | <0.01 | 5.9% |
91725 A | PPh4-#94, Ti | Ti | 0.682 | 0.507 | 74.3 | #### | 16.37 | 70.5 | 26 | 0.40 | 0.40 | 0.0 | 0.05 | <0.01 | -2.0% |
91726 A | PPh4-#95, Ti,>mlbx | Ti | 0.637 | 0.387 | 60.8 | 2.88 | 1.40 | 48.6 | 14 | 0.09 | 0.09 | 0.0 | 0.13 | <0.01 | -9.9% |
91727 A | PPh4-#96, mlbx | PE | 1.091 | 0.887 | 81.3 | 5.59 | 4.57 | 81.7 | 38 | 0.37 | 0.20 | 1.9 | 1.66 | 0.20 | 5.0% |
91728 A | PPh4-#97, mlbx | PW | 1.410 | 1.367 | 96.9 | #### | 65.92 | 80.4 | 193 | 0.20 | 0.20 | 0.0 | 0.96 | 0.09 | -2.0% |
91729 A | PPh4-#98, mlbx | PW | 1.189 | 0.913 | 76.8 | #### | 13.15 | 71.9 | 153 | 0.26 | 0.26 | 0.0 | 0.15 | 0.01 | -2.0% |
91730 A | PPh4-#99, mlbx | PW | 1.385 | 0.127 | 9.2 | 5.50 | 7.06 | 128.4 | 61 | 0.62 | 0.62 | 0.0 | 0.61 | 0.50 | 47.5% |
Note: Six of the composite samples had higher than background organic carbon assays (highlighted in gray) and three of the composite samples had higher than background sulfide sulfur assays (highlighted in light green).
ICP multi-element, whole rock and QXRD analyses are shown in Appendix 5, 6 and 7. Geo-metallurgical highlights for the thirty variability composites are summarized below:
| · | Gold grades ranged from 0.159 to 2.76 ppm and averaged 0.89 ppm; |
| · | Silver grades ranged from 1.5 to 82.0 ppm and averaged 14.1 ppm; |
| · | Organic carbon ranged from 0.09 to 0.62 % and averaged 0.25 %; |
| · | Sulfide sulfur ranged from <0.01 to 0.50 % and averaged 0.09 %; |
| · | Preg-robb analyses ranged from -9.9 to 16.88 % and averaged 3.0 %, excluding composite PPh4-#99, mlbx); |
| · | Copper values were low, ranging from 6 to 193 ppm and averaged 41 ppm; |
| · | Gold cyanide solubility ranged from 9.2 (carbonaceous and sulfide refractory sample) to 114.1% and averaged 80.1%; |
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| · | Concentrations of the deleterious elements were: selenium averaged 11 ppm, mercury averaged 2.0 ppm and arsenic levels were low, averaging 243 ppm; |
| · | Concentrations of the primary cyanide consumers were low and suggest minimum potential for affecting cyanide consumption rates. Copper averaged 41 ppm, nickel averaged 16 ppm, and zinc averaged 70 ppm; |
| · | Whole-rock quartz (SiO2) content ranged from 14.0 to 95.1 % and averaged 67.2 %. |
13.12.2 | 2021 Bottle Roll and Column Leach Testing (KCA) |
Thirty drill core composites were subjected to bottle-roll leach testing, at target P80 sizes of 75 µm and 1,700 µm, column-leach testing at 12.5 mm and 25 mm. Ten of the thirty composites column-leach tested via HPGR comminution at medium press force. The main objective of this test work was to evaluate the laboratory-scale leachability character of the Pinion Phase 4 mine expansion resource in terms of gold extraction, extraction rate, reagent consumption, and sensitivity to feed size.
The bottle-roll and column leach testing used a standard procedure that is described in the final laboratory report (KCA 2021B). Bottle roll retention times were 144 hours for the 1,700 µm tests, and 96 hours for the 75 µm tests and were leached with dilute NaCN solution, maintained at 1 g/l.
Column-leach tests were conducted utilizing material crushed to target P80’s and placed in their respective columns for leaching. Conventional and HPGR columns were leached between 64 and 106 days with a dilute 0.50 g/l NaCN solution. After leaching, each column was drained and washed for four days with water. A portion of the leached/washed material (“column residues”) from each column was assayed for “tail screen” analyses by size fraction.
A summary of bottle roll and column leach tests are provided in Appendices 8 (75µm BR’s), 9 (1,700µm BR’s), 10 (12.5 & 25mm columns), and 11 (HPGR columns).
The following is offered as a summary of the findings from the Phase 4 - 2021 bottle roll and column leach test results:
2021 Bottle-Roll Tests on 75 µm Composite Samples
Gold head grades for the composites ranged from 0.15 to 2.75 ppm Au, with an average of 0.88 ppm Au. Gold extraction ranged from 7.0 to 88.8 % and averaged 74.3 %.
Silver head grades for the composites ranged from 0.70 to 54.0 ppm Ag, with an average of 11.0 ppm Ag. Silver extraction ranged from 35.2 to 79.4 % and averaged 58.8 %.
Cyanide consumption averaged 1.04 kg/t and lime consumption averaged 0.60 kg/t.
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2021 Bottle-Roll Tests on 1,700 µm Composite Samples
Gold head grades for the composites ranged from 0.15 to 2.81 ppm Au, with an average of 0.89 ppm Au. Gold extraction ranged from 13.9 to 82.7 % and averaged 63.0 %.
Silver head grades for the composites ranged from 1.2 to 58.6 ppm Ag, with an average of 11.2 ppm Ag. Silver extraction ranged from 10.8 to 43.7 % and averaged 26.4 %.
Cyanide consumption averaged 0.28 kg/t and lime consumption averaged 0.90 kg/t.
2021 Conventional Column-Leach Tests on Composite Samples
Column-leach test extraction results were calculated based upon loaded carbon assays and tails assays. Gold head grades ranged from 0.15 to 12.89 ppm Au (average = 0.91 ppm Au). Gold extraction ranged from 25.2 to 88.8 % and averaged 62.4 %.
Silver head grades ranged from 0.5 to 47.0 ppm Au and averaged 9.9 ppm Ag. Silver extraction results ranged from 5.6 to 36.8 % and averaged 16.9 %.
Cyanide consumption averaged 1.03 kg/t and lime consumption averaged 0.80 kg/t.
2021 HPGR Column-Leach Tests on Composite Samples
HPGR column-leach test extraction results were calculated based upon loaded carbon assays and tails assays. Gold head grades for the ten HPGR (medium press force) column composites ranged from 0.33 to 1.27 ppm Au and averaged 0.82 ppm Au. Gold extraction results ranged from 49.3 to 78.2 % and average of 67.2 %.
Silver head grades for the ten HPGR (medium press force) column-leach composites ranged from 4.2 to 30.6 ppm Au and averaged 7.1 ppm Ag. Silver extraction results ranged between 27.3 and 43.4 % and averaged 32.0 %.
Cyanide consumption averaged 1.08 kg/t, lime consumption averaged 0.70 kg/t.
Laboratory Cyanide Consumptions - KCA advises that commercial-scale cyanide consumption typically end up in the range of 25 to 33% of laboratory consumption.
Laboratory Lime Consumptions – Are considered to be accurate for commercial scale operations.
Days under leach vs. Gold Extraction %, for the Conventional Crush vs. HPGR Crush column leach test pairs, are shown in Appendix 12. An example plot for PPh4-#76 (mlbx) is provided below in Figure 13-25.
Figure 13-25: 2021 Example Plot of Conventional Crush vs. HPGR Crush - Au Extraction Curves
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Note: The column leach cumulative percent gold extractions shown in Appendix 12 and Figure 10 are based upon laboratory solution assays and may be significantly different than the actual metallurgical balances that are based upon recovered gold carbon assays and triplicate tails screen assays. In addition, the gold extraction models, developed from the laboratory metallurgical balances, projected to commercial ROM Feed P80 = 150mm (6 inches) are significantly different than the laboratory metallurgical balances, that were conducted a finer feed P80. Feed size.
For the example in Figure 13-25, laboratory gold extraction and modeled gold recovery results are summarized below.
| · | Laboratory Solution Balance (Feed P80 = 24.5mm): 66.7 % Au Extraction. |
| · | Laboratory Carbon and tails screen triplicate assay balance (Feed P80 – 24.5mm): 65.9 % Au Extraction. |
| · | Lab Data Model Gold Extraction (Feed P80 = 150mm (6 inches): 60.8 % Au Extraction. |
| · | Commercial Heap Leach Au Recovery Model [Feed P80=150mm (6 inches)] = 64.7 % Au Recovery. |
Note: There are approximately 100 variability and master composites that have been tested for the Pinion deposit. Therefore, the Commercial Heap Leach gold recovery models include a significant number of variability tests for each ore type. Laboratory Head vs. Tails models were used to develop head grade vs. gold recovery models for commercial heap leaching for each ore type. This explanation should help the reader understand why the Commercial Heap Leach Au Recovery of 64.7% is higher than the Lab Data Model Gold Extraction of 60.8%. There are 36 composites in the Pinion West (PW) mlbx commercial scale gold recovery model. PPh4-#76 is one of the 36 composites used to derive the commercial scale gold recovery model.
Refer to Appendix 13 for gold extraction/recovery comparisons for all Phase 4 composites.
13.13 | Geo-metallurgy Characterization |
The Preliminary Pre-Feasibility Study (M3 2019) models were updated using the additional metallurgical testing data summarized in this report and includes any minor corrections made to the previous work. Metal recovery, head grade vs. tail grade, and S/O ratio models were updated to be consistent with previous work.
13.13.1 | Pinion and Dark Star Geo-Metallurgical Recovery Zones |
Large geo-metallurgy databases have been developed for the Pinion and Dark Star deposits to assist in evaluating material type selections, representing different Au and Ag recovery response. The corresponding geo-metallurgical analysis has identified key variables, within both deposits, that were used to select the different metallurgical recovery zones requiring separate gold and silver recovery modeling.
13.13.1.1 | Pinion Deposit Geo-Metallurgy |
The following is a summary of the four gold and silver recovery zones in the Pinion Deposit:
| 1. | Mtp (Tripon Pass) – Tripon Pass mineralization is a formation unit that sits on top of the multi-lithic breccia (mlbx) which hosts the majority of the Au mineralization at Pinion. |
| 2. | Mlbx Pinion East (Ba > 4.0%, Hi SiO2) – The Pinion East Zone is carved out of a larger mlbx zone that is characterized by high barium (Ba) > 4.0% and high quartz (SiO2) > 65%. |
| 3. | Mlbx Pinion West – The Pinion West Zone captures all the remaining Pinion mlbx zone of mineralization that is not contained within the Pinion East. |
| 4. | Ddg (Devils Gate) – Devils Gate mineralization is stratigraphically positioned underneath the Pinion mlbx. |
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13.13.1.2 | Dark Star Deposit Geo-Metallurgy |
The Dark Star mineralization is hosted in two connected deposits: Dark Star North and Dark Star Main. Dark Star North can be characterized as a relatively high-grade heap leachable deposit, whereas Dark Star Main is lower grade and contains more transitional mineralization. Within both deposits, gold mineralization is mainly contained within three formation units: ST-U (upper siltstone), CGL (middle conglomerate), and ST-L (lower siltstone). Geo-metallurgical evaluations did not detect significant variation in gold recovery based upon the host formation but did identify a significant difference is gold recovery response in local regions of low and high silica Intensity (SI), as logged by the geologists. Silica Intensity (SI) is characterized by the geologists using a scale of 0 to 3, with 0 indicating no (or low) silica and 3 being the highest silica.
Recovery models for silver were not developed for Dark Star because of its low silver contents.
The following is a summary of the four gold recovery zones, in the Dark Star deposit:
| 1. | Dark Star Main (SI<2.0) |
| 2. | Dark Star Main (SI>2.0) |
| 3. | Dark Star North (SI<2.0) |
| 4. | North Dark Star North (SI>2.0) |
13.14 | Gold and silver Recovery update |
For a detailed description of the gold and silver recovery modelling methodology, used for the Pinion and Dark Star deposits, refer to the M3 Engineering South Railroad Project Preliminary Feasibility Study (M3 2019).
The Preliminary Feasibility Study (M3 2019) models were updated using additional metallurgical test data summarized in this report and includes any minor corrections made to the previous work. Metal recovery and head grade vs. tail grade models were updated to be consistent with previous work.
Forte Dynamics is providing the life-of-mine gold/silver recovery timing model for Gold Standard Ventures, based upon final heap loading mine/process plan from MDA. The commercial scale metal recovery model updates, in this report, assume that Forte’s design solution/ore ratio application is sufficient to extract the heap leach recoverable metal content through the projected life-of-mine operations, including closure.
A meeting was held with MDA in Reno, NV in late November, 2021 to “truth check” and revise the Pinion West and Pinion East 3D ore type shapes, incorporating the new variability test data. At that meeting a change to the Pinion Oxide and Transition cyanide solubility ranges was made.
| · | The Oxide ore category definition was changed from >70% to >65%. |
| · | The Transition ore category definition was changed from 50% -70% to 35% - 65%. |
The oxide/transition cyanide solubility cut-off change from >70% to >65% was based upon a better gold recovery model fit, incorporating the new variability test data.
The change in the Transition range from 50%-70%, to 35%-65% results from a combination of three factors:
| · | The insensitivity of column leach gold recovery for the cyanide solubility range of 35% to 65%. |
| ○ | Low cyanide solubility, Pinion Transition ore types, can be categorized by any one or a combination of three factors: |
| § | Refractory gold in sulfides |
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| § | Preg-robbing organic carbon |
| · | Little to no change in cyanide or lime consumption at the lower cyanide solubility. Limiting transition ore types ability to generate acid in the heap leach. |
It is recommended that Pinion Transition ores be segregated on the leach pad to prevent intermixing with oxide ores to prevent any degradation of Oxide ore heap leach gold and silver recovery performance
13.14.1 | Pinion Gold and Silver Recovery Model Update |
Conventional ROM and HPGR crushed ore gold and silver recovery models are provided for the Pinion East (mlbx lower recovery) zone, Pinion West (mlbx higher recovery) zone, Tripon Pass formation and Devils Gate formation. Oxide and Transition ore type recovery equations are provided in Table 13-15 through Table 13-18.
13.14.1.1 | ROM Pinion Oxide Gold and Ag Recovery Equations |
Table 13-15: ROM Pinion Gold and Silver Recovery Equations (Oxide)
ROM Pinion Gold and Silver Recovery Equations (OXIDE: AuCN > 65%) |
Geomet Recovery Zone | Equation | Equation Gold Recovery, % | Range |
ROM - mlbx Pinion West | 1 | =7.6257*ln(HG) + 66.776 | Au LG < 0.40 g/t |
2 | =5.4756*ln(HG) + 64.985 | Au HG ≥ 0.40 g/t |
ROM - mlbx Pinion East | 3 | =7.7255*ln(HG) + 46.504 | Au LG < 0.40 g/t |
4 | =4.6417*ln(HG) + 45.591 | Au HG ≥ 0.40 g/t |
ROM - Mtp (Tripon Pass) | 5 | =11.354*ln(HG) + 74.905 | Au LG < 0.40 g/t |
6 | =6.9619*ln(HG) + 71.223 | Au HG ≥ 0.40 g/t |
ROM - Ddg (Devils Gate) | 7 | =5.6671*ln(HG) + 63.160 | Au LG < 0.40 g/t |
8 | =1.0819*ln(HG) + 58.880 | Au HG ≥ 0.40 g/t |
Geomet Recovery Zone | Equation | Equation Silver Recovery, % | Range |
ROM - mlbx Pinion West | 9 | =1.0697*ln(HG) + 8.304 | Ag LG < 6.0 g/t |
10 | =0.8726*ln(HG) + 8.664 | Ag HG ≥ 6.0 g/t |
ROM - mlbx Pinion East | 11 | =2.1848*ln(HG) + 6.200 | Ag LG < 6.0 g/t |
12 | =1.9309*ln(HG) + 6.669 | Ag HG ≥ 6.0 g/t |
ROM - Mtp (Tripon Pass) | 1 | =0.0990*ln(HG) + 6.302 | Ag LG < 6.0 g/t |
14 | =0.0990*ln(HG) + 6.302 | Ag HG ≥ 6.0 g/t |
ROM - Ddg (Devils Gate) | 15 | =8.1407*ln(HG) + 6.873 | Ag LG < 6.0 g/t |
16 | =1.9953*ln(HG) + 17.903 | Ag HG ≥ 6.0 g/t |
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13.14.1.2 | HPGR Pinion Oxide Gold and Silver Recovery Equations |
Table 13-16: HPGR Pinion Gold and Silver Recovery Equations (Oxide)
HPGR Pinion Gold and Silver Recovery Equations (OXIDE: AuCN > 65%) |
Geomet Recovery Zone | Equation | Equation Gold Recovery, % | Range |
HPGR - mlbx Pinion West | 17 | =3.5672*ln(HG) + 71.761 | Au LG < 0.40 g/t |
18 | =2.7334*ln(HG) + 71.047 | Au HG ≥ 0.40 g/t |
HPGR - mlbx Pinion East | 19 | =3.1069*ln(HG) + 65.042 | Au LG < 0.40 g/t |
20 | =2.4562*ln(HG) + 64.476 | Au HG ≥ 0.40 g/t |
HPGR - Mtp (Tripon Pass) | 21 | =11.354*ln(HG) + 82.895 | Au LG < 0.40 g/t |
22 | =6.9619*ln(HG) + 79.303 | Au HG ≥ 0.40 g/t |
HPGR - Ddg (Devils Gate) | 23 | =3.5672*ln(HG) + 71.761 | Au LG < 0.40 g/t |
24 | =2.7334*ln(HG) + 71.047 | Au HG ≥ 0.40 g/t |
| | | |
Geomet Recovery Zone | Equation | Equation Silver Recovery, % | Range |
HPGR - mlbx Pinion West | 25 | =16.139*ln(HG) - 3.8636 | Ag LG < 6.0 g/t |
26 | =12.100*ln(HG) + 3.6241 | Ag HG ≥ 6.0 g/t |
HPGR - mlbx Pinion East | 27 | =7.3893*ln(HG) + 23.853 | Ag LG < 6.0 g/t |
28 | =6.1583*ln(HG) + 26.135 | Ag HG ≥ 6.0 g/t |
HPGR - Mtp (Tripon Pass) | 29 | =0.1170*ln(HG) + 26.27 | Ag LG < 6.0 g/t |
30 | =0.1170*ln(HG) + 26.27 | Ag HG ≥ 6.0 g/t |
HPGR - Ddg (Devils Gate) | 31 | =8.1407*ln(HG) + 16.873 | Ag LG < 6.0 g/t |
32 | =1.9953*ln(HG) + 27.903 | Ag HG ≥ 6.0 g/t |
Mtp and Ddg are minor ore types and there is very limited HPGR test data. Equations 21-24 and 31-32 take into account the available data and are best estimates provided to MDA for resource modelling.
| · | Equation 21 – Limited test data, best estimate. |
| · | Equation 22 – Limited test data, best estimate, limit max Au recovery to 80%. |
| · | Equation 23 & 24 – No test data, using PW HPGR recovery model. |
| · | Equation 31 – No test data, using Ddg ROM Ag recovery model (very conservative estimate). |
| · | Equation 32 – No test data, using Ddg ROM Ag recovery model (very conservative estimate). |
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13.14.1.3 | ROM Pinion TransitionROM Gold and Silver Recovery Equations |
Table 13-17: ROM Pinion Gold & Silver Recovery Equations (Transition)
ROM Pinion Gold and Silver Recovery Equations (TRANSITION: AuCN > 35%, <65%) |
Geomet Recovery Zone | Equation | Equation Gold Recovery, % | Range |
ROM - mlbx Pinion West | 33 | =0.1979*ln(HG) + 25.5780 | Au LG < 0.40 g/t |
34 | =0.1979*ln(HG) + 25.5780 | Au HG ≥ 0.40 g/t |
ROM - mlbx Pinion East | 35 | =0.1979*ln(HG) + 25.5780 | Au LG < 0.40 g/t |
36 | =0.1979*ln(HG) + 25.5780 | Au HG ≥ 0.40 g/t |
ROM - Mtp (Tripon Pass) | | No Data | Au LG < 0.40 g/t |
| No Data | Au HG ≥ 0.40 g/t |
ROM - Ddg (Devils Gate) | | No Data | Au LG < 0.40 g/t |
| No Data | Au HG ≥ 0.40 g/t |
| | | |
Geomet Recovery Zone | Equation | Equation Silver Recovery, % | Range |
ROM - mlbx Pinion West | 37 | =0.0099*ln(HG) + 12.705 | Au LG < 6.0 g/t |
38 | =0.0099*ln(HG) + 12.705 | Au HG ≥ 6.0 g/t |
ROM - mlbx Pinion East | 39 | =0.0099*ln(HG) + 12.705 | Au LG < 6.0 g/t |
40 | =0.0099*ln(HG) + 12.705 | Au HG ≥ 6.0 g/t |
ROM - Mtp (Tripon Pass) | | No Data | Au LG < 6.0 g/t |
| No Data | Au HG ≥ 6.0 g/t |
ROM - Ddg (Devils Gate) | | No Data | Au LG < 6.0 g/t |
| No Data | Au HG ≥ 6.0 g/t |
Pinion West and East Transition ROM test data was modelled together for gold and silver recovery. There is no Transition ROM test data for Mtp and Ddg.
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13.14.1.4 | HPGR Pinion Transition Gold and Silver Recovery Equations |
Table 13-18: HPGR Pinion Gold & SILVER Recovery Equations (Transition)
HPGR Pinion Gold and Silver Recovery Equations (TRANSITION: AuCN > 35%, <65%) |
Geomet Recovery Zone | Equation | Equation Gold Recovery, % | Range |
HPGR - mlbx Pinion West | 41 | =3.5817*LN(HG)+37.917 | Ag LG < 6.0 g/t |
42 | =3.0400*LN(HG)+36.720 | Ag HG ≥ 6.0 g/t |
HPGR - mlbx Pinion East | 43 | =3.5817*LN(HG)+37.917 | Ag LG < 6.0 g/t |
44 | =3.0400*LN(HG)+36.720 | Ag HG ≥ 6.0 g/t |
HPGR - Mtp (Tripon Pass) | | No Data | Ag LG < 6.0 g/t |
| No Data | Ag HG ≥ 6.0 g/t |
HPGR - Ddg (Devils Gate) | | No Data | Ag LG < 6.0 g/t |
| No Data | Ag HG ≥ 6.0 g/t |
| | | |
Geomet Recovery Zone | Equation | Equation Silver Recovery, % | Range |
HPGR - mlbx Pinion West | 45 | =5.6215*LN(HG)+19.793 | Ag LG < 6.0 g/t |
46 | =4.9880*LN(HG)+20.965 | Ag HG ≥ 6.0 g/t |
HPGR - mlbx Pinion East | 47 | =5.6215*LN(HG)+19.793 | Ag LG < 6.0 g/t |
48 | =4.9880*LN(HG)+20.965 | Ag HG ≥ 6.0 g/t |
HPGR - Mtp (Tripon Pass) | | No Data | Ag LG < 6.0 g/t |
| No Data | Ag HG ≥ 6.0 g/t |
HPGR - Ddg (Devils Gate) | | No Data | Ag LG < 6.0 g/t |
| No Data | Ag HG ≥ 6.0 g/t |
Pinion West and East HPGR Transition test data was modelled together for gold and silver recovery. There is no Transition test data for Mtp and Ddg.
13.14.2 | Dark Star Gold Recovery Model Update |
Conventional ROM and HPGR crushed ore commercial scale gold recovery models were updated for the Dark Star North and Dark Star Main deposits. Oxide and Transition ore type recovery models are provided.
No silver recovery models are provided for Dark Star North and Main, due to their low silver grade, deemed to be of minimal economic value to the project.
13.14.2.1 | ROM and HPGR Dark Star North and Main Oxide Gold Recovery Equations |
ROM and HPGR Oxide gold recovery equations are provided in
Table 13-19 for Dark Star North and Main deposits. ROM and HPGR Transition gold recovery equations are provided in Table 13-20.
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Table 13-19: ROM and HPGR Dark Star North and Main Gold Recovery Equations (Oxide)
ROM Dark Star Gold Recovery Equations (OXIDE: AuCN > 85%) |
Geomet Recovery Zone | Equation | Equation Gold Recovery, % | Range |
ROM - Dark Star North (Si < 2.0) | 49 | =5.1422*ln(HG)+88.295 | Au LG < 0.40 g/t |
50 | =0.7864*ln(HG)+84.371 | Au HG ≥ 0.40 g/t |
ROM - Dark Star North (Si > 2.0) | 51 | =5.6670*ln(HG)+81.503 | Au LG < 0.40 g/t |
52 | =0.8666*ln(HG)+77.178 | Au HG ≥ 0.40 g/t |
ROM - Dark Star Main (Si < 2.0) | 53 | =3.6204*ln(HG)+89.475 | Au LG < 0.40 g/t |
54 | =0.5536ln(HG)+86.712 | Au HG ≥ 0.40 g/t |
ROM - Dark Star Main (Si > 2.0) | 55 | =2.5183*ln(HG)+77.163 | Au LG < 0.40 g/t |
56 | =0.3851*ln(HG)+75.241 | Au HG ≥ 0.40 g/t |
| | | |
HPGR Dark Star Gold Recovery Equations (OXIDE: AuCN > 85%) |
Geomet Recovery Zone | Equation | Equation Silver Recovery, % | Range |
ROM - Dark Star North (Si < 2.0) | 57 | =3.0751*ln(HG)+91.333 | Au LG < 0.40 g/t |
58 | =0.4739*ln(HG)+88.989 | Au HG ≥ 0.40 g/t |
ROM - Dark Star North (Si > 2.0) | 59 | =3.0751*ln(HG)+88.569 | Au LG < 0.40 g/t |
60 | =0.4613*ln(HG)+86.235 | Au HG ≥ 0.40 g/t |
ROM - Dark Star Main (Si < 2.0) | 61 | =3.0751*ln(HG)+91.333 | Au LG < 0.40 g/t |
62 | =0.4739*ln(HG)+88.569 | Au HG ≥ 0.40 g/t |
ROM - Dark Star Main (Si > 2.0) | 63 | =3.0751*ln(HG)+88.569 | Au LG < 0.40 g/t |
64 | =0.4687*ln(HG)+86.238 | Au HG ≥ 0.40 g/t |
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Table 13-20: ROM and HPGR Dark Star North and Main Gold Recovery Equations (Transition)
ROM Dark Star Gold Recovery Equations (TRANSITION: AuCN > 65%, <85%) |
Geomet Recovery Zone | Equation | Equation Gold Recovery, % | Range |
ROM - Dark Star North (Si < 2.0) | 65 | =5.9294*ln(HG)+69.158 | Au LG < 0.40 g/t |
66 | =0.9067*ln(HG)+64.633 | Au HG ≥ 0.40 g/t |
ROM - Dark Star North (Si > 2.0) | 67 | =6.1918*ln(HG)+58.948 | Au LG < 0.40 g/t |
68 | =0.9468*ln(HG)+54.222 | Au HG ≥ 0.40 g/t |
ROM - Dark Star Main (Si < 2.0) | 69 | =4..6651*ln(HG)+70.373 | Au LG < 0.40 g/t |
70 | =0.7134*ln(HG)+66.812 | Au HG ≥ 0.40 g/t |
ROM - Dark Star Main (Si > 2.0) | 71 | =8.7639*ln(HG)+66.188 | Au LG < 0.40 g/t |
72 | =5.8232*ln(HG)+63.941 | Au HG ≥ 0.40 g/t |
| | | |
HPGR Dark Star Gold Recovery Equations (TRANSITION: AuCN > 65%, <85%) |
Geomet Recovery Zone | Equation | Equation Gold Recovery, % | Range |
ROM - Dark Star North (Si < 2.0) | 73 | =5.9300*ln(HG)+71.821 | Au LG < 0.40 g/t |
74 | =0.8932*ln(HG)+67.313 | Au HG ≥ 0.40 g/t |
ROM - Dark Star North (Si > 2.0) | 75 | =6.1924*ln(HG)+72.029 | Au LG < 0.40 g/t |
76 | =0.9327*ln(HG)+67.321 | Au HG ≥ 0.40 g/t |
ROM - Dark Star Main (Si < 2.0) | 77 | =4.6191*ln(HG)+73.075 | Au LG < 0.40 g/t |
78 | =0.6956*ln(HG)+69.546 | Au HG ≥ 0.40 g/t |
ROM - Dark Star Main (Si > 2.0) | 79 | =8.7645*ln(HG)+71.331 | Au LG < 0.40 g/t |
80 | =5.8133*ln(HG)+69.069 | Au HG ≥ 0.40 g/t |
Silver grade at Dark Star is very low and of minimal economic value. ROM and HPGR silver recovery was not modelled.
13.15 | REAGENT CONSUMPTIONS SOUTH RAILROAD PROPERTY |
Reagent consumptions and requirements, including cyanide, lime, and cement were estimated by KCA based on metallurgical test work completed to date for the Pinion and Dark Star material. Reagent consumptions are summarized below.
The column leach test cyanide consumptions were studied for the ROM and HPGR crushed Pinion and Dark material and adjusted to provide a basis for the expected field cyanide consumptions. In KCA’s experience, field cyanide consumptions are typically 25% to 50% of observed lab consumptions and have been estimated at 33% of the lab consumptions for this study.
ROM cyanide consumptions have been estimated based on column leach tests at 37.5 mm crush size for the Pinion and Dark Star materials. Because there are no ROM column leach test data available and ROM cyanide consumptions in the field are typically less than crushed ore consumptions, the estimated field cyanide consumptions for the ROM material is considered to be 80% of the crushed material cyanide consumptions. Lab cyanide consumptions for Pinion material at 37.5 mm crush ranged from 0.66 kg/t to 1.19 kg/t with an average consumption of 0.85 kg/t. Dark Star lab cyanide consumptions at 37.5 mm crush ranged from 0.46 kg/t to 1.31 kg/t with an average consumption of 0.87 kg/t. Based on this data, field cyanide consumptions are estimated at 0.22 kg/t and 0.23 kg/t for ROM Pinion and Dark Star material, respectively.
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Lime is required for pH control for the ROM and Pinion crushed ore during leaching. Because hydrated lime was utilized in the lab leach tests, the laboratory lime consumptions are adjusted to accurately predict consumptions of quicklime (pebble lime, CaO) in the field. Estimated quicklime consumptions for the Pinion and Dark Star ROM ores are 1.0 kg/t of ore and 0.5 kg/t of ore for Pinion crushed ore.
13.16 | METALLURGICAL TESTING ON JASPEROID WASH AND NORTH BULLION SAMPLES |
13.16.1 | Jasperoid Wash Deposit Metallurgical Testing |
In 2017, Gold Standard commissioned KCA to complete metallurgical testing of composited core samples from the Jasperoid Wash deposit (KCA 2018c). Drill-core composites were subjected to bottle-roll cyanide-leach testing at target P80 sizes of 75 μm (200 mesh) and 1,700 μm (10 mesh), column-leach testing at eighty percent passing (P80) 12.5 mm, and one column leach tested at P80 = 25 mm. Additionally, three (3) metallurgical core holes were drilled in 2018, from which composites will be tested at a later date. Jasperoid Wash was not included in the current financial model. Accordingly, only a brief summary of the 2017 test results is presented below.
Gold extraction in the 200-mesh bottle rolls ranged from 67.7 and 96.6%, while Silver extraction ranged from 15.6 to 43.1%. Cyanide consumption averaged 0.46 kg/t for the eight oxide composites.
Gold extraction from the 10-mesh bottle rolls ranged between 52.6 and 93.7% (average = 76.1%). Silver extraction ranged from 12.8 to 83.6%. Silver grades are considered low at Jasperoid Wash. Cyanide consumption averaged 0.24 kg/t for the eight oxide samples.
A composite that was classified as sulfide carbon refractory had one of the lowest recoveries and the highest cyanide consumption.
Column-leach gold extractions ranged between 65.3 and 95.3% and averaged 82.9%. Silver head grades for Jasperoid Wash are low and of minimal economic significance. Cyanide consumption averaged 1.01 kg/t and lime consumption averaged 1.23 kg/t for the five oxide composites.
One of the composites, despite being a sulfide/carbon refractory material (AuCN = 38.2%), achieved a high gold extraction of 90.1%. NaCN and lime consumptions were high, 3.12 kg/t and 10.95 kg/t respectively, which is expected due to its high sulfide sulfur content (1.6%).
Other tests on the Jasperoid Wash samples were performed to characterize the comminution, abrasion, and load permeability properties of the materials. Details on these may be found in the metallurgical report (KCA, 2018c).
13.16.2 | North Railroad Deposits Metallurgical Testing |
Two separate preliminary metallurgical tests were performed on the North Bullion (POD deposit) and Bald Mountain areas, which are part of the North Railroad portion of the property (Dufresne et al., 2017b).
In 2006, a total of 63 bottle-roll tests and three column-leach tests were completed by KCA on core material from the POD prospect located in the North Railroad portion of the property (KCA 2006). The results of the 63 individual bottle roll tests were highly variable, yielding gold extractions from 0% to 83%. The high variability of the extraction results was attributed to carbonaceous materials in the samples. The column-leach tests at 1.5, 0.5, and 0.25-inch crusher resulted in an average gold recovery of 85%.
Bench-top roasting tests were conducted by Newmont on North Bullion drill-core samples. Gold recoveries from three calcined samples were 83%, 90%, and 79%, with high lime demands of 15 to 22 lb/ton (Arthur, 2013).
Fourteen agitated cyanide leach tests were performed on samples from one drill hole in the Bald Mountain target. The average gold recovery attained was 82.2%, with better recoveries resulting from higher-grade samples.
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SECTION 14 TABLE OF CONTENTS
SECTION | | | | PAGE |
14 | MINERAL RESOURCE ESTIMATES | 14-1 |
| 14.1 | INTRODUCTION | 14-1 |
| 14.2 | DARK STAR MINERAL RESOURCES | 14-3 |
| | 14..2.1 | Dark Star Database | 14-3 |
| | 14.2.2 | Dark Star Geologic Model | 14-6 |
| | 14.2.3 | Dark Star Gold Domains and Estimation | 14-6 |
| | 14.2.4 | Dark Star Gold Mineral Resources | 14-16 |
| | 14.2.5 | Dark Star Cyanide-Soluble Gold and Geo-Metallurgical Models | 14-24 |
| | 14.2.6 | Dark Star Acid-Base Accounting Model and Estimation | 14-25 |
| | 14.2.7 | Dark Star Clay Model and Estimation | 14-28 |
| | 14.2.8 | Dark Star Density | 14-28 |
| | 14.2.9 | Discussion of Dark Star Estimated Gold Mineral Resource and Supporting Models | 14-29 |
| 14.3 | PINION DEPOSIT MINERAL RESOURCES | 14-32 |
| | 14.3.1 | Pinion Database | 14-33 |
| | 14.3.2 | Pinion Geologic Model | 14-35 |
| | 14.3.3 | Pinion Gold Domains and Estimation | 14-36 |
| | 14.3.4 | Pinion Silver Modeling and Estimation | 14-43 |
| | 14.3.5 | Pinion Gold and Silver Resources | 14-48 |
| | 14.3.6 | Pinion Geo-Metallurgical Model | 14-55 |
| | 14.3.7 | Pinion Acid-Base Accounting Model and Estimation | 14-63 |
| | 14.3.8 | Pinion Clay Model and Estimation | 14-67 |
| | 14.3.9 | Pinion Density | 14-67 |
| | 14.3.10 | Discussion of Pinion Estimated Mineral Resources and Supporting Models | 14-68 |
| 14.4 | JASPEROID WASH MINERAL RESOURCES | 14-71 |
| | 14.4.1 | Jasperoid Wash Database | 14-72 |
| | 14.4.2 | Jasperoid Wash Geologic Model | 14-74 |
| | 14.4.3 | Jasperoid Wash Gold Domains and Estimation | 14-75 |
| | 14.4.4 | Jasperoid Wash Gold Mineral Resources | 14-81 |
| | 14.4.5 | Jasperoid Wash Geo-Metallurgical Model | 14-84 |
| | 14.4.6 | Jasperoid Wash Clay Model | 14-86 |
| | 14.4.7 | Jasperoid Wash Density | 14-86 |
| | 14.4.8 | Discussion of Jasperoid Wash Estimated Mineral Resources | 14-86 |
| 14.5 | NORTH BULLION DEPOSITS MINERAL RESOURCES | 14-88 |
| | 14.5.1 | North Bullion Database | 14-88 |
| | 14.5.2 | North Bullion Geologic Model | 14-91 |
| | 14.5.3 | North Bullion Gold Domains and Estimation | 14-92 |
| | 14.5.4 | North Bullion Gold Mineral Resources | 14-103 |
| | 14.5.5 | North Bullion Density | 14-110 |
| | 14.5.6 | Discussion of North Bullion Estimated Mineral Resources | 14-111 |
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SECTION 14 LIST OF TABLES
TABLE | DESCRIPTION | PAGE |
Table 14-1: | Summary of Drilling at Dark Star to June 2021 | 14-5 |
Table 14-2: | Descriptive Statistics of Sample Assays in Dark Star Drill-Hole Database | 14-5 |
Table 14-3: | Dark Star Descriptive Statistics by Domain | 14-7 |
Table 14-4: | Dark Star Capping Levels for Gold by Domain | 14-12 |
Table 14-5: | Dark Star Descriptive Composite Statistics by Domain | 14-13 |
Table 14-6: | Dark Star Estimation Areas, Search-Ellipse Orientations and Maximum Search Distances by Domain . | 14-14 |
Table 14-7: | Dark Star Estimation Parameters | 14-15 |
Table 14-8: | Dark Star Classification Parameters | 14-17 |
Table 14-9: | Dark Star Total In-Pit Gold Mineral Resources – Measured* | 14-19 |
Table 14-10: | Dark Star Total In-Pit Gold Mineral Resources – Indicated* | 14-20 |
Table 14-11: | Dark Star Total In-Pit Gold Mineral Resource- Measured and Indicated* | 14-20 |
Table 14-12: | Dark Star Total In-Pit Gold Mineral Resources – Inferred* | 14-21 |
Table 14-13: | Number of Samples and Mean Inorganic Carbon Values for Dark Star Estimation Categories | 14-25 |
Table 14-14: | Number of Samples and Mean Sulfide Sulfur Values for Dark Star Estimation Categories | 14-26 |
Table 14-15: | PAG/NAG Designation Criteria | 14-27 |
Table 14-16: | Density Values Applied to the Dark Star Block Model | 14-28 |
Table 14-17: | Drill Holes at Pinion | 14-33 |
Table 14-18: | Pinion Descriptive Statistics - Exploration and Mineral Resource Drill-Hole Database | 14-35 |
Table 14-19: | Pinion Deposit Descriptive Gold Statistics by Domain | 14-37 |
Table 14-20: | Pinion Gold Capping Levels for Gold by Domain | 14-40 |
Table 14-21: | Pinion Deposit Descriptive Gold Assay Composite Statistics by Domain | 14-40 |
Table 14-22: | Pinion Estimation Areas | 14-41 |
Table 14-23: | Pinion Gold Estimation Parameters | 14-42 |
Table 14-24: | Pinion Deposit Descriptive Silver Statistics by Domain | 14-44 |
Table 14-25: | Pinion Capping Levels for Silver by Domain | 14-47 |
Table 14-26: | Pinion Deposit Descriptive Silver Assay Composite Statistics by Domain | 14-47 |
Table 14-27: | Pinion Silver Estimation Parameters | 14-48 |
Table 14-28: | Pinion Classification Parameters | 14-49 |
Table 14-29: | Pinion Measured Gold and Silver Resources* | 14-51 |
Table 14-30: | Pinion Indicated Gold and Silver Resources* | 14-51 |
Table 14-31 | Pinion Measured and Indicated Gold and Silver Resources* | 14-52 |
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Table 14-32 | Pinion Inferred Gold and Silver Resources | 14-52 |
Table 14-33: | Pinion Samples Barium Statistics by Domain | 14-56 |
Table 14-34: | Pinion Composites Barium Statistics by Domain | 14-57 |
Table 14-35: | Pinion Barium Estimation Parameters | 14-59 |
Table 14-36: | Number of Samples and Mean Organic Carbon Values for Pinion Estimation Categories | 14-61 |
Table 14-37: | Assigned Organic Carbon Values for Pinion Estimation Categories | 14-62 |
Table 14-38: | Organic Carbon Capping Values for Pinion Estimation Categories | 14-62 |
Table 14-39: | Number of Samples and Mean Inorganic Carbon Values for Pinion Estimation Categories | 14-63 |
Table 14-40: | Number of Samples and Mean Sulfide Sulfur Values for Pinion Estimation Categories | 14-64 |
Table 14-41: | Assigned Inorganic Carbon and Sulfide Sulfur Values for Pinion Estimation Categories | 14-65 |
Table 14-42: | Inorganic Carbon and Sulfide Sulfur Capping Values for Pinion Estimation Categories | 14-66 |
Table 14-43: | Density Values Applied to the Pinion Block Models | 14-67 |
Table 14.44: | Summary of Drilling at Jasperoid Wash | 14-72 |
Table 14-45: | Descriptive Statistics of Sample Assays in Jasperoid Wash Mineral Resource Database | 14-74 |
Table 14-46: | Jasperoid Wash Descriptive Statistics by Gold Domain | 14-76 |
Table 14.47: | Descriptive Composite Statistics by Domain for Jasperoid Wash | 14-79 |
Table 14.48: | Jasperoid Wash Search Ellipse Orientations and Maximum Search Distances by Estimation Area | 14-81 |
Table 14.49: | Jasperoid Wash Estimation Parameters | 14-81 |
Table 14-50: | Jasperoid Wash Inferred Gold Mineral Resources | 14-82 |
Table 14.51: | Density Values Applied to the Jasperoid Wash Block Model | 14-86 |
Table 14.52: | Summary of Drilling at North Bullion | 14-89 |
Table 14.53: | Descriptive Statistics of Sample Assays in North Bullion Mineral Resource Database | 14-91 |
Table 14.54: | Modeled Gold Domain Grade Ranges, North Bullion Deposits | 14-94 |
Table 14.55: | North Bullion Descriptive Statistics by Gold Domain | 14-94 |
Table 14.56: | North Bullion Capping Levels for Gold by Domain | 14-100 |
Table 14.57: | North Bullion Descriptive Composite Statistics by Domain | 14-100 |
Table 14.58: | North Bullion Kriging Parameters by Domain | 14-101 |
Table 14.59: | North Bullion Estimation Areas, Search-Ellipse Orientations and Maximum Search Distances by Domain | 14-101 |
Table 14.60: | North Bullion Estimation Parameters | 14-102 |
Table 14.61: | North Bullion Classification Parameters | 14-103 |
Table 14.62: | North Bullion Inferred Gold Mineral Resources – Open Pit | 14-105 |
Table 14.63: | North Bullion Inferred Gold Mineral Resources – Underground | 14-105 |
Table 14.64: | Sweet Hollow Inferred Gold Mineral Resources – Open Pit | 14-106 |
Table 14.65: | POD Inferred Gold Mineral Resources – Open Pit | 14-106 |
Table 14.66: | South Lodes Inferred Gold Mineral Resources – Open Pit | 14-107 |
Table 14.67: | Density and Tonnage Factor Values Applied to the North Bullion Block Model | 14-111 |
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SECTION 14 LIST OF FIGURES
FIGURE | DESCRIPTION | PAGE |
Figure 14-1: | Dark Star Deposit Drill-Hole Map and Mineral Resource Outline | 14-4 |
Figure 14-2: | Cumulative Probability Plot of Dark Star Gold Assays | 14-7 |
Figure 14-3: | Dark Star Main Zone Gold Domains and Geology – Section N14696823 | 14-10 |
Figure 14-4: | Dark Star North Zone Gold Domains and Geology – Section N14698399 | 14-11 |
Figure 14-5: | Dark Star Spatial Relationship Between Estimation Areas, Gold Domains and Drill Holes | 14-15 |
Figure 14-6: | Dark Star Main Zone Gold Domains and Block Model – Section N14696823 | 14-22 |
Figure 14-7: | Dark Star North Zone Gold Domains and Block Model – Section N14698399 | 14-23 |
Figure 14-8: | Cumulative Probability Plot of Dark Star AuCN/Au Ratios | 14-24 |
Figure 14-9: | Dark Star Optimized Pit and Additional Mineralization | 14-32 |
Figure 14-10: | Pinion Deposit Drill-Hole Map and Mineral Resource Outline | 14-34 |
Figure 14-11: | Cumulative Probability Plot of Pinion Deposit Gold Assays | 14-36 |
Figure 14-12: | Pinion Gold Domains and Geology – Section N14695611 | 14-39 |
Figure 14-13: | Pinion Estimation Areas | 14-42 |
Figure 14-14: | Cumulative Probability Plot of Pinion Deposit Silver Assays | 14-43 |
Figure 14-15: | Pinion Silver Domains and Geology – Section N14695611 | 14-46 |
Figure 14-16: | Pinion Gold Domains and Block Model– Section N14695611 | 14-53 |
Figure 14-17: | Pinion Silver Domains and Block Model– Section N14695611 | 14-54 |
Figure 14-18: | Cumulative Probability plot of Barium (NITON XRF) Sample Grades at Pinion | 14-56 |
Figure 14-19: | Pinion Barium Domains and Geology – Section N14695611 | 14-58 |
Figure 14-20: | Cumulative Probability Plot of Pinion AuCN/AuFA Ratios | 14-60 |
Figure 14-21: | Pinion Optimized Pit and Additional Mineralization | 14-70 |
Figure 14.22: | Jasperoid Wash Deposit Drill-hole Map and Mineral Resource Outline | 14-73 |
Figure 14-23: | Cumulative Probability Plot of Jasperoid Wash Gold Assays | 14-75 |
Figure 14-24: | Jasperoid Wash Zone Gold Domains and Geology – Section N14675822 | 14-78 |
Figure 14-25: | Jasperoid Wash Estimation Areas and Gold Domains in Cross Section | 14-80 |
Figure 14-26 | Jasperoid Wash Gold Domains and Block Model – Section N14675822 | 14-83 |
Figure 14-27: | Cumulative Probability Plot of Jasperoid Wash AuCN/AuFA Ratios | 14-84 |
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Figure 14-28: | Jasperoid Wash Deposit Rock Type and Metallurgical Models – Section N14675822 | 14-85 |
Figure 14-29: | Jasperoid Wash Optimized Pits and Additional Mineralization | 14-87 |
Figure 14.30: | North Bullion Deposit Drill-hole Map and Mineral Resource Outline | 14-90 |
Figure 14.31: | Cumulative Probability Plot of North Bullion Gold Assays | 14-93 |
Figure 14.32: | Cumulative Probability Plot of Sweet Hollow Gold Assays | 14-93 |
Figure 14.33: | Cumulative Probability Plot of POD Gold Assays | 14-94 |
Figure 14.34: | North Bullion Deposit Gold Domains and Geology – Section NW3447.5 | 14-97 |
Figure 14.35: | Sweet Hollow and South Lodes Deposits Gold Domains and Geology – Section NW1773.0 | 14-98 |
Figure 14.36: | POD Deposit Gold Domains and Geology – Section NW3053.5 | 14-99 |
Figure 14.37: | Spatial Relationship Between North Bullion Deposits, Estimation Areas, Gold Domains and Drill Holes | 14-102 |
Figure 14.38: | North Bullion Deposit Gold Domains and Block Model – Section NW3447.5 | 14-108 |
Figure 14.39: | Sweet Hollow and South Lodes Deposits Gold Domains and Block Model – Section NW1773.0 | 14-109 |
Figure 14.40: | POD Deposit Gold Domains and Block Model – Section NW3053.5 | 14-110 |
Figure 14.41 : | North Bullion Optimized Pits, Underground Shells and Additional Mineralization | 14-113 |
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14 | MINERAL RESOURCE ESTIMATES INTRODUCTION |
The statistical analysis, geological modeling, and mineral resource estimation for all deposits were performed under the supervision of Mr. Lindholm. These estimated mineral resources were classified in order of increasing geological and quantitative confidence into inferred, indicated, and measured mineral resource categories to be in accordance with the “CIM Definition Standards - For Mineral Resources and Mineral Reserves” (2014) and therefore Canadian National Instrument 43-101. CIM mineral resource definitions are given below, with CIM’s explanatory material shown in italics:
Mineral Resource
Mineral Resources are sub-divided, in order of increasing geological confidence, into Inferred, Indicated and Measured categories. An Inferred Mineral Resource has a lower level of confidence than that applied to an Indicated Mineral Resource. An Indicated Mineral Resource has a higher level of confidence than an Inferred Mineral Resource but has a lower level of confidence than a Measured Mineral Resource.
A Mineral Resource is a concentration or occurrence of solid material of economic interest in or on the Earth’s crust in such form, grade or quality and quantity that there are reasonable prospects for eventual economic extraction.
The location, quantity, grade or quality, continuity and other geological characteristics of a Mineral Resource are known, estimated or interpreted from specific geological evidence and knowledge, including sampling.
Material of economic interest refers to diamonds, natural solid inorganic material, or natural solid fossilized organic material including base and precious metals, coal, and industrial minerals.
The term Mineral Resource covers mineralization and natural material of intrinsic economic interest which has been identified and estimated through exploration and sampling and within which Mineral Reserves may subsequently be defined by the consideration and application of Modifying Factors. The phrase ‘reasonable prospects for eventual economic extraction’ implies a judgment by the Qualified Person in respect of the technical and economic factors likely to influence the prospect of economic extraction. The Qualified Person should consider and clearly state the basis for determining that the material has reasonable prospects for eventual economic extraction. Assumptions should include estimates of cutoff grade and geological continuity at the selected cut-off, metallurgical recovery, smelter payments, commodity price or product value, mining and processing method and mining, processing and general and administrative costs. The Qualified Person should state if the assessment is based on any direct evidence and testing.
Interpretation of the word ‘eventual’ in this context may vary depending on the commodity or mineral involved. For example, for some coal, iron, potash deposits and other bulk minerals or commodities, it may be reasonable to envisage ‘eventual economic extraction’ as covering time periods in excess of 50 years. However, for many gold deposits, application of the concept would normally be restricted to perhaps 10 to 15 years, and frequently to much shorter periods of time.
Inferred Mineral Resource
An Inferred Mineral Resource is that part of a Mineral Resource for which quantity and grade or quality are estimated on the basis of limited geological evidence and sampling. Geological evidence is sufficient to imply but not verify geological and grade or quality continuity.
An Inferred Mineral Resource has a lower level of confidence than that applying to an Indicated
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Mineral Resource and must not be converted to a Mineral Reserve. It is reasonably expected that the majority of Inferred Mineral Resources could be upgraded to Indicated Mineral Resources with continued exploration.
An Inferred Mineral Resource is based on limited information and sampling gathered through appropriate sampling techniques from locations such as outcrops, trenches, pits, workings and drill holes. Inferred Mineral Resources must not be included in the economic analysis, production schedules, or estimated mine life in publicly disclosed Pre-Feasibility or Feasibility Studies, or in the Life of Mine plans and cash flow models of developed mines. Inferred Mineral Resources can only be used in economic studies as provided under NI 43-101.
There may be circumstances, where appropriate sampling, testing, and other measurements are sufficient to demonstrate data integrity, geological and grade/quality continuity of a Measured or Indicated Mineral Resource, however, quality assurance and quality control, or other information may not meet all industry norms for the disclosure of an Indicated or Measured Mineral Resource. Under these circumstances, it may be reasonable for the Qualified Person to report an Inferred Mineral Resource if the Qualified Person has taken steps to verify the information meets the requirements of an Inferred Mineral Resource.
Indicated Mineral Resource
An Indicated Mineral Resource is that part of a Mineral Resource for which quantity, grade or quality, densities, shape and physical characteristics are estimated with sufficient confidence to allow the application of Modifying Factors in sufficient detail to support mine planning and evaluation of the economic viability of the deposit.
Geological evidence is derived from adequately detailed and reliable exploration, sampling and testing and is sufficient to assume geological and grade or quality continuity between points of observation.
An Indicated Mineral Resource has a lower level of confidence than that applying to a Measured Mineral Resource and may only be converted to a Probable Mineral Reserve.
Mineralization may be classified as an Indicated Mineral Resource by the Qualified Person when the nature, quality, quantity and distribution of data are such as to allow confident interpretation of the geological framework and to reasonably assume the continuity of mineralization. The Qualified Person must recognize the importance of the Indicated Mineral Resource category to the advancement of the feasibility of the project. An Indicated Mineral Resource estimate is of sufficient quality to support a Pre-Feasibility Study which can serve as the basis for major development decisions.
Measured Mineral Resource
A Measured Mineral Resource is that part of a Mineral Resource for which quantity, grade or quality, densities, shape, and physical characteristics are estimated with confidence sufficient to allow the application of Modifying Factors to support detailed mine planning and final evaluation of the economic viability of the deposit.
Geological evidence is derived from detailed and reliable exploration, sampling and testing and is sufficient to confirm geological and grade or quality continuity between points of observation.
A Measured Mineral Resource has a higher level of confidence than that applying to either an Indicated Mineral Resource or an Inferred Mineral Resource. It may be converted to a Proven Mineral Reserve or to a Probable Mineral Reserve.
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Mineralization or other natural material of economic interest may be classified as a Measured Mineral Resource by the Qualified Person when the nature, quality, quantity and distribution of data are such that the tonnage and grade or quality of the mineralization can be estimated to within close limits and that variation from the estimate would not significantly affect potential economic viability of the deposit. This category requires a high level of confidence in, and understanding of, the geology and controls of the mineral deposit.
Modifying Factors
Modifying Factors are considerations used to convert Mineral Resources to Mineral Reserves. These include, but are not restricted to, mining, processing, metallurgical, infrastructure, economic, marketing, legal, environmental, social and governmental factors.
The authors of this section report mineral resources at cutoffs that are reasonable for deposits of this nature given anticipated mining methods and plant processing costs, while also considering economic conditions, because of the regulatory requirements that a mineral resource exists “in such form and quantity and of such a grade or quality that it has reasonable prospects for eventual economic extraction.”
14.2 | Dark Star Mineral Resources |
The Dark Star gold mineral resource estimate was completed on June 28, 2021, based on data derived from drilling completed in 2021 through drill holes, DR20-23, DC20-05, DS20-04, SS21-14 and MW19-01. The drill-hole database has an effective date of June 15, 2021, when the latest LECO data was received. The Dark Star mineral resource estimate has an effective date of January 31, 2022. Five holes for a total of 1,220 ft were drilled in 2021 by the effective date of the Dark Star drill-hole database but were not used to update the gold model because assays were not yet completed.
References to Tomera Formation equivalent stratigraphy at the Dark Star and Jasperoid Wash deposits have been noted historically. However, recent work suggests these units in the Railroad-Pinion property may not be of equivalent age, so all usage of Tomera Formation equivalent in this Technical Report refer to units that are Pennsylvanian- Permian undifferentiated.
Following the Pre-Feasibility study of Ibrado et al. (2020), Gold Standard made a decision to convert all project data from metric to Imperial units. MDA converted all length data, including collar northings and eastings, from meters to feet (1 m = 3.280833333 ft), and assay grades from g/tonne to oz/ton (1.0 oz/ton = 34.285714 g/tonne). Section plane spacing, block model block sizes, and other modeling dimensions were changed. Specifics and ramifications of the conversions are discussed in various sections below.
Six companies have conducted exploration drilling programs in the Dark Star deposit area since 1984, including Gold Standard, which began drilling in 2015. In all, 483 holes totaling 344,275.5 ft have been drilled (see Table 14-1). Holes drilled or with assays received after the effective date of the database are not included in the table. These drill holes, as well as Gold Standard’s property limits and the Dark Star mineral resource outlines, are shown in Figure 14-1. The figure also shows the two separate subdivisions, referred to as the Dark Star North and Dark Star Main areas, of the Dark Star Deposit. RC and core drill holes account for 81% and 18.5% of the footage drilled, respectively.
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Figure 14-1: Dark Star Deposit Drill-Hole Map and Mineral Resource Outline
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Table 14-1: Summary of Drilling at Dark Star to June 2021
Type of hole | Count | Drilled Feet |
Core | 71 | 62085 |
RC | 402 | 277383.5 |
RC/Core Tail | 2 | 4062 |
Sonic | 8 | 745 |
Grand Total | 483 | 344,275.5 |
Table 14-2 presents descriptive statistics of all Dark Star drill-hole analytical sample data audited and imported into MineSight by MDA. Measured density and core geotechnical data are also summarized. Rejected sample assay data have been excluded from the table. Trace element and whole-rock geochemical data have also been provided by Gold Standard but are not shown in Table 14-2.
Table 14-2: Descriptive Statistics of Sample Assays in Dark Star Drill-Hole Database
(accepted sample data only)
| Valid | Median | Mean | Std Dev | CV | Min. | Max. | Units |
From | 66,257 | | | | | 0.0 | 3100.0 | ft |
To | 66,257 | | | | | 1.0 | 3105.0 | ft |
Length | 66,257 | 5.0 | 5.1 | | | 0.1 | 730.3 | ft |
Au | 63,726 | 0.0006 | 0.0068 | 0.0248 | 3.65 | 0.0 | 0.6504 | oz Au/ton |
Ag | 25,565 | 0.005 | 0.009 | 0.063 | 6.99 | 0.0 | 3.9780 | oz Ag/ton |
AuCN | 13,479 | 0.007 | 0.021 | 0.041 | 1.95 | 0.0 | 0.6533 | oz Au/ton |
AuCN/AuFA Ratio | 13,478 | 85.0 | 77.4 | 25.5 | 0.30 | 0.0 | 110 | % |
Density | 1,137 | 2.520 | 2.449 | 0.249 | 0.10 | 1.24 | 4.47 | g/cm3 |
Core recovery* | 6,238 | 100.0 | 90.680 | 20.160 | 0.22 | 0.0 | 409.3 | % |
RQD* | 6,238 | 40.0 | 50.860 | 55.150 | 1.08 | 0.0 | 409.3 | % |
*Core recovery and RQD data have not been audited and contain values exceeding the maximum of 100%. |
The Dark Star database contains 63,726 accepted gold assay records (Table 14-2). The total number of rejected gold assays is 425. These records from five Dark Star North RC drill holes were rejected due to suspected down-hole contamination as demonstrated by cyclicity of assay grades relative to depths of drill-rod changes.
Only 25,565 (40%) of the accepted gold assay samples were analyzed for silver, and 13,479 samples (21%) were analyzed for gold by cyanide extraction (“AuCN”). Of the silver assays, 21,403 (84%) are repeated values. A few of these could be individual assays with coincidentally the same assay value, but nearly all represent assays of composited samples for which the silver assay was assigned to multiple individual sample intervals. The composites with a single silver value are generally about 20 ft long and composed of four samples.
Collar locations, downhole survey data, and gold, silver, barium, AuCN, and AgCN analyses were audited for verification purposes. Logged core recovery and RQD were loaded into the database but were not verified. A few RQD values greater than 100% were noted, but not investigated. The database also contains logged geologic features, including rock types, formations, faults, vein type, silicification, clay, dolomite, barite, limonite, hematite, carbonate, sulfide percent, and percent reduced (unoxidized), all of which were imported. The logged geology was reviewed and used in modeling the gold domains.
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Analyses of various carbon and sulfur species were also provided by Gold Standard, verified, and loaded into the mineral resource database. Metallurgical bottle-roll, column-leach, comminution, density, and flotation test results were compiled and loaded, but not verified.
14.2.2 | Dark Star Geologic Model |
Gold Standard provided geologic interpretations as surfaces and solids for faults, formation contacts, silicification, and metallurgically refractive material. MDA combined the formation and fault surfaces into solids that represent each formation, which includes the Chainman Formation (Mississippian), undifferentiated section of Pennsylvanian-Permian units, and Tertiary conglomerates and Indian Well Formation tuffs and sediments. The Pennsylvanian-Permian undifferentiated is further divided into lower siltstone, middle conglomerate (which is the primary host for Dark Star mineralization), and upper siltstone units. All formational units and faults are summarized in Section 7 of this Technical Report. MDA determined that Quaternary colluvium is present in sufficient quantities to be distinguished from heavier bedrock, so it was modeled on section and as solids to potentially improve stripping costs.
Mr. Lindholm reviewed silicification solids provided by Gold Standard. The solids compare well with logged silicification values of ‘2’ and ‘3’ (‘3’ representing the strongest silicification). Continuity in the modeled solids was broadly established by default as a function of the logged data, although continuity was lacking somewhat between sections where silicification was more localized.
All geologic interpretations, in combination with assays and logged data, were used to guide metal domain modeling and to define metallurgical domains.
14.2.3 | Dark Star Gold Domains and Estimation |
14.2.3.1 | Gold Domain Model |
Gold domains defined from sample assay ranges were explicitly modeled on sections spaced 98.5 ft apart, oriented east-west and looking north. This spacing was originally 30 m. Domains were defined based on population breaks on the cumulative probability plot (“CPP”) for all gold data (Figure 14-2). The domain grade ranges were originally determined using assay data in g Au/t and converted to oz Au/ton. The CPP was remade to reflect Imperial units, however, some of the grade breaks apparent on the metric chart were not as readily apparent on the Imperial chart. The lower limit of the outer shell gold domains does not plot well on the CPP because the level of precision of the statistical package used is only three decimal places. Grade ranges converted from those originally determined in metric units were retained, and used for modeling gold domains as follows:
| · | Outer shell domain: ~0.0012 oz Au/ton to ~0.009 oz Au/ton; |
| · | Low-grade domain: ~0.009 oz Au/ton to ~0.102 oz Au/ton; and |
| · | High-grade domain: >~0.102 oz Au/ton. |
A Quaternary colluvium (“Qc”) gold domain was modeled at the request of Gold Standard, because a significant quantity of mineralized colluvium was encountered in drilling east of Dark Star Main. Essentially, all grades greater than 0.001 oz Au/ton were included in the modeled Qc domains, which are entirely above the gold domains in bedrock material. The Qc domains are not included in the mineral resource estimate.
A higher-grade domain >~0.03 oz Au/ton was considered, but there was insufficient continuity for modeling, and it would contain less than 0.5% of the assays. Descriptive statistics of assays by the modeled domains are presented in Table 14-3.
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Figure 14-2: Cumulative Probability Plot of Dark Star Gold Assays
Table 14-3: Dark Star Descriptive Statistics by Domain
(accepted sample data only)
Outer Shell Gold Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 12,467 | 5.0 | 5.0 | | | 0.1 | 132.1 | ft |
Type | 12,460 | | | | | 1 | 7 | |
Au | 12,359 | 0.0026 | 0.0032 | 0.0025 | 0.7872 | 0.0001 | 0.1010 | oz Au/ton |
Au capped | 12,359 | 0.0026 | 0.0032 | 0.0022 | 0.6868 | 0.0001 | 0.0250 | oz Au/ton |
AuCN | 4,476 | 0.0035 | 0.0037 | 0.0023 | 0.6174 | 0.0004 | 0.0464 | oz Au/ton |
AuCN/AuFA ratio | 4,476 | 80 | 74 | 25 | 0.30 | 3 | 110 | % |
Density | 214 | 2.54 | 2.47 | 0.27 | 0.11 | 1.78 | 4.47 | g/cm3 |
Core Recovery* | 1,302 | 100 | 88 | 22 | 0.24 | 0 | 120 | % |
RQD* | 1,302 | 40 | 49 | 50 | 1.04 | 0 | 344 | % |
Low-Grade Gold Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 8,982 | 5.0 | 5.1 | | | 0.2 | 28.3 | ft |
Type | 8,982 | | | | | 1 | 7 | |
Au | 8,936 | 0.0150 | 0.0203 | 0.0166 | 0.8203 | 0.0002 | 0.2631 | oz Au/ton |
Au capped | 8,936 | 0.0150 | 0.0203 | 0.0166 | 0.8203 | 0.0002 | 0.2631 | oz Au/ton |
AuCN | 6,939 | 0.0120 | 0.0170 | 0.0160 | 0.9380 | 0.0004 | 0.2223 | oz Au/ton |
AuCN/AuFA ratio | 6,939 | 87 | 79 | 25 | 0.30 | 1 | 110 | % |
Density | 219 | 2.57 | 2.54 | 0.25 | 0.10 | 1.72 | 4.36 | g/cm3 |
Core Recovery* | 1,158 | 100 | 92 | 17 | 0.18 | 0 | 313 | % |
RQD* | 1,158 | 38 | 55 | 62 | 1.12 | 0 | 409 | % |
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High-Grade Gold Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 1,505 | 5.0 | 4.8 | | | 1.0 | 11.0 | ft |
Type | 1,505 | | | | | 1 | 7 | |
Au | 1,499 | 0.0991 | 0.1247 | 0.0866 | 0.6940 | 0.0045 | 0.6504 | oz Au/ton |
Au capped | 1,499 | 0.0991 | 0.1247 | 0.0866 | 0.6940 | 0.0045 | 0.6504 | oz Au/ton |
AuCN | 1,382 | 0.0814 | 0.1013 | 0.0804 | 0.7939 | 0.0004 | 0.6533 | oz Au/ton |
AuCN/AuFA ratio | 1,382 | 92 | 82 | 26 | 0.30 | 3 | 110 | % |
Density | 86 | 2.54 | 2.53 | 0.20 | 0.08 | 1.93 | 3.43 | g/cm3 |
Core Recovery* | 454 | 100 | 93 | 16 | 0.18 | 0 | 100 | % |
RQD* | 454 | 54 | 69 | 69 | 1.01 | 0 | 409 | % |
Outside Modeled Gold Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 42,902 | 5.0 | 5.2 | | | 0.2 | 730.3 | ft |
Type | 42,738 | | | | | 1 | 7 | |
Au | 40,531 | 0.0002 | 0.0006 | 0.0054 | 9.1785 | 0.0000 | 0.5104 | oz Au/ton |
Au capped | 40,531 | 0.0002 | 0.0005 | 0.0010 | 2.1313 | 0.0000 | 0.0160 | oz Au/ton |
AuCN | 576 | 0.0020 | 0.0091 | 0.0404 | 4.4468 | 0.0004 | 0.5230 | oz Au/ton |
AuCN/AuFA ratio | 575 | 85 | 74 | 35 | 0.50 | 0 | 110 | % |
Density | 618 | 2.47 | 2.40 | 0.24 | 0.10 | 1.24 | 2.99 | g/cm3 |
Core Recovery* | 3,324 | 100 | 91 | 21 | 0.23 | 0 | 409 | % |
RQD* | 3,324 | 38 | 48 | 52 | 1.08 | 0 | 409 | % |
Qc Gold Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 401 | 5.0 | 5.0 | | | 5.0 | 10.0 | ft |
Type | 401 | | | | | 2 | 6 | |
Au | 401 | 0.0030 | 0.0037 | 0.0034 | 0.9393 | 0.0004 | 0.0363 | oz Au/ton |
Au capped | 401 | 0.0030 | 0.0036 | 0.0028 | 0.7859 | 0.0004 | 0.0200 | oz Au/ton |
AuCN | 106 | 0.0035 | 0.0044 | 0.0039 | 0.8905 | 0.0004 | 0.0289 | oz Au/ton |
AuCN/AuFA ratio | 106 | 76 | 75 | 19 | 0.20 | 10 | 110 | % |
Density | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | g/cm3 |
Core Recovery* | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | % |
RQD* | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | % |
*Core recovery and RQD data have not been audited and contain values exceeding the maximum of 100%. |
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Mr. Lindholm reviewed core from DC18-05, DC18-07, and DC18-09 during a site visit on September 18 and 19, 2018 in an effort to determine the geologic characteristics of each domain. Gold Standard staff geologists provided guidance and expertise with respect to the geology of the deposits and the nature of gold mineralization. The following characteristics were observed with respect to gold domains, and mineralization in general:
| · | The middle conglomerate of the Pennsylvanian-Permian undifferentiated (or Tomera Formation age equivalent) is the primary host for mineralization. The upper and lower siltstone units are mineralized as well, but to a lesser degree; |
| · | One of the primary characteristics associated with gold grade is the presence and quantity of limonite on fractures; |
| · | Gold grade increases with increased fracture permeability (structural preparation); |
| · | More porous, coarser-grained sedimentary lithologies tend to be better hosts. Some porous zones were created by decalcification of calcareous sedimentary rocks; |
| · | Gold mineralization is commonly confined between less permeable lithologies, such as argillized fault gouges or stratigraphic horizons; |
| · | Grade decreases from relatively coarse-grained rocks in the low-grade domain, to more fine-grained micritic lithologies in the outer-shell domains; |
| · | Barite, scorodite, and jarosite were observed at moderate to higher grades, greater than ~0.029 oz Au/ton. |
| · | Degree of silicification does not seem to be associated with strong gold mineralization. Where rocks are silicified, grades of ~0.029 to 0.175 oz Au/ton were found in zones of increased limonite on fractures; and |
| · | Some pervasive, very fine-grained pyrite was observed with moderate gold grades, particularly in gouge zones. |
To summarize, gold mineralization increases with increasing limonite on fractures, and increasing porosity. More favorable porosity is inherent in coarser-grained sedimentary lithologies or developed by structural preparation and/or decalcification. Structural preparation ranges from localized fractures to wider gouge zones, and to broad zones of fractures and stockwork breccias. Silicification and argillic alteration may be indirectly associated with gold grade, i.e., clay can be abundant in structurally deformed zones, but may or may not be related to gold deposition.
As noted in the previous section, geologic logging and interpretations, along with observations of core directly or in photos, were used to guide mineral-domain modeling. Mineral domains were generally drawn parallel to stratigraphic contacts, per guidance from Gold Standard. Gold domains were offset across faults according to sense-of-movement indicated by Gold Standard interpretations. Schematic cross sections in the Dark Star Main zone and Dark Star North zone are given in Figure 14-3 and Figure 14-4, respectively.
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Figure 14-3: Dark Star Main Zone Gold Domains and Geology – Section N14696823
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Figure 14-4: Dark Star North Zone Gold Domains and Geology – Section N14698399
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The relationship between gold mineralization and major faults mapped on the surface or interpreted on section is not well understood. The primary bounding structures of the major horst block are the West and Dark Star faults, although some mineralization does cross the West Fault into the Chainman Formation and appears to terminate against an unrecognized barrier somewhere to the west of the East fault. The Ridgeline and IDK faults are located within the deposits, and gold grades appear to be strongest and more widespread between them.
Some significant gold grades have been intercepted in multiple drill holes extending downward between the Ridgeline and IDK faults in the Dark Star North zone (see Figure 14-4). Gold Standard describes and interprets the mineralization in this area as follows:
“The zone between the Ridgeline and IDK faults appear to be [a] highly brecciated structural corridor. The gold zone follows down between these two faults, but generally has a floor at/near the Conglomerate and underlying ST-L [lower Tomera Formation equivalent siltstone] contact. The contact is likely a chemistry change from high to low carbonate, causing mineralization above the contact, and much weaker below. We suspect both faults are feeders and long term might see a small breccia pipe or feeder along one or both faults to some depth”
The unusual occurrence and precise geometry of mineralization in this deeper area is still not fully understood, however, new drilling between the faults continues to confirm the existence of relatively high gold grades in the zone.
Gold grade decreases in intensity and thickness down-dip and up-dip along stratigraphy from the Ridgeline and IDK faults. The relationship between mineralization in the footwall and hanging wall of the Ridgeline fault in particular is not well understood. In the current model, domains were drawn as if the fault is a hard boundary to mineralization, with no continuity across the fault, although as noted above, Gold Standard suspects the faults may ultimately prove to be feeders. No domains were drawn along the fault, because it is unclear at this time whether gold was deposited along the structure. The IDK fault does not appear to be a barrier to mineralization as significantly in Dark Star North, so domains were drawn more continuously across it.
After gold domain interpretations were completed on 98.5 ft spaced cross sections oriented east-west, the domain interpretations were snapped to drill holes in three dimensions and sliced for modeling on mid-bench level plans. The modeled level plans are spaced at 30 ft and are located at the midpoint of each bench. Because there were slight differences in section and level plan locations due to the conversion to Imperial units, modifications to gold domains were required. Silver was not modeled or estimated.
14.2.3.2 | Gold Sample and Composite Statistics |
The modeled gold mineral domains were used to assign codes to drill-hole samples. Quantile plots were made of the coded assays. Potential capping levels for each domain were assessed by identifying the grade above which outlier values occur. Applied capping grades (Table 14-4) were then determined after reviewing the outlier samples on screen with respect to grade and proximity of surrounding samples, geology, general location, and materiality. Descriptive statistics of sample assays by domain were also considered to evaluate the necessity for capping of assays (Table 14-3).
Table 14-4: Dark Star Capping Levels for Gold by Domain
Domain | Capping Grade (oz Au/ton) |
Outer Shell | 0.025 |
High-Grade | NONE |
Low-Grade | NONE |
Outside Domains | 0.016 |
Quaternary Colluvium | 0.020 |
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After the capping was completed, the drill holes were down-hole composited to 10 ft intervals honoring domain boundaries. The composite length was chosen to avoid de-compositing small fractions of the original drilled sample intervals. Descriptive statistics by domain of the composited database are given in Table 14-5.
Table 14-5: Dark Star Descriptive Composite Statistics by Domain
Outer Shell Gold Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 6,641 | 10.00 | 9.27 | | | 0.00 | 10.00 | ft |
Au | 6,556 | 0.0028 | 0.0032 | 0.0021 | 0.6626 | 0.0002 | 0.0547 | oz Au/ton |
Au capped | 6,556 | 0.0028 | 0.0032 | 0.0019 | 0.5933 | 0.0002 | 0.0250 | oz Au/ton |
AuCN | 2,951 | 0.0035 | 0.0036 | 0.0020 | 0.5390 | 0.0004 | 0.0280 | oz Au/ton |
AuCN/AuFA ratio | 2,951 | 79.0 | 74.1 | 24.2 | 0.3 | 4 | 110 | % |
Low-grade Gold Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 4,894 | 10.00 | 9.32 | | | 0.00 | 10.00 | ft |
Au | 4,874 | 0.0154 | 0.0200 | 0.0144 | 0.7189 | 0.0008 | 0.1858 | oz Au/ton |
Au capped | 4,874 | 0.0154 | 0.0200 | 0.0144 | 0.7189 | 0.0008 | 0.1858 | oz Au/ton |
AuCN | 3,648 | 0.0124 | 0.0169 | 0.0142 | 0.8423 | 0.0004 | 0.1870 | oz Au/ton |
AuCN/AuFA ratio | 3,648 | 87.0 | 78.9 | 23.8 | 0.3 | 2 | 110 | % |
High-grade Gold Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 813 | 10.00 | 8.84 | | | 0.00 | 10.00 | ft |
Au | 812 | 0.1024 | 0.1224 | 0.0695 | 0.5677 | 0.0091 | 0.5000 | oz Au/ton |
Au capped | 812 | 0.1024 | 0.1224 | 0.0695 | 0.5677 | 0.0091 | 0.5000 | oz Au/ton |
AuCN | 744 | 0.0840 | 0.1001 | 0.0670 | 0.6693 | 0.0033 | 0.4419 | oz Au/ton |
AuCN/AuFA ratio | 744 | 92.0 | 82.9 | 24.6 | 0.3 | 4 | 110 | % |
Outside Modeled Gold Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 22,266 | 10.00 | 9.01 | | | 0.00 | 10.00 | ft |
Au | 20,456 | 0.0003 | 0.0006 | 0.0050 | 8.5860 | 0.0 | 0.4010 | oz Au/ton |
Au capped | 20,456 | 0.0003 | 0.0005 | 0.0009 | 1.8609 | 0.0 | 0.0160 | oz Au/ton |
AuCN | 356 | 0.0022 | 0.0079 | 0.0352 | 4.4690 | 0.0004 | 0.4056 | oz Au/ton |
AuCN/AuFA ratio | 354 | 84.0 | 72.7 | 34.1 | 0.5 | 2 | 110 | % |
Qc Gold Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 20 | 10.00 | 9.75 | 0.0 | 0.0 | 5.00 | 10.00 | ft |
Au | 20 | 0.0024 | 0.0024 | 0.0007 | 0.2770 | 0.0 | 0.0040 | oz Au/ton |
Au capped | 20 | 0.0024 | 0.0024 | 0.0007 | 0.2770 | 0.0 | 0.0040 | oz Au/ton |
AuCN | 6 | 0.0031 | 0.0029 | 0.0005 | 0.1661 | 0.0020 | 0.0032 | oz Au/ton |
AuCN/AuFA ratio | 6 | 79.0 | 82.7 | 14.9 | 0.2 | 63 | 100 | % |
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Correlograms were generated from the composited gold grades to evaluate grade continuity. Correlogram parameters were determined and applied to the kriged estimate, against which the reported inverse distance estimate was compared. The evaluated continuity of grade also contributed to classification of mineral resources. The correlogram results by domain are summarized as follows:
Outer shell gold domain – The nugget is 45% of the total sill. The first sill is 30% of the total sill with a range of 33 ft to 130 ft depending on direction. The remaining 25% of the total sill has a range of 360 ft to 755 ft depending on direction.
Low-grade gold domain – The nugget is 50% of the total sill. The first sill is 35% of the total sill with a range of 65 ft to 100 ft depending on direction. The remaining 15% of the total sill has a range of 525 ft to 920 ft depending on direction.
High-grade gold domain – The nugget is 40% of the total sill. The first sill is 40% of the total sill with a range of 33 ft to 150 ft depending on direction. The remaining 20% of the total sill has a range of 100 ft to 195 ft depending on direction
The mineral resource block model is not rotated, and the blocks are 30 ft north-south by 30 ft vertical by 30 ft east- west. Four gold estimates were completed: a polygonal, nearest neighbor, inverse distance, and kriged, with the inverse-distance estimate being reported. All the estimates, excluding the polygonal, were run several times in order to determine sensitivity to estimation parameters, and to evaluate and optimize results. The inverse distance power was three (“ID3”). The model was divided into nine estimation areas (“ESTAR”) to control search anisotropy, orientation, and distances according to the differing geometries of mineralization in each area during estimation. Table 14-6 summarizes the estimation areas and associated search orientations and maximum search distances by domain. Figure 14-5 depicts the spatial relationship of the estimation areas to the drilling and the gold domains.
Table 14-6: Dark Star Estimation Areas, Search-Ellipse Orientations and Maximum Search Distances by Domain
Estimation Area | Search Ellipse Orientation | Maximum Search Distance (ft) |
Azimuth (degrees) | Dip (degrees) | Rotation (degrees) | Outer Shell | Low-Grade | High-Grade | Outside Domains |
1 | 12.5 | 0 | 0 | 820 | 660 | 490 | 160 |
2 | 12.5 | 0 | 27.5 | 820 | 890 | 490 | 160 |
3 | 12.5 | 0 | 52.5 | 820 | 720 | 490 | 160 |
4 | 12.5 | 0 | 77.5 | 660 | 490 | 490 | 160 |
5 | 0 | 0 | 50 | 660 | 490 | 490 | 160 |
6 | 0 | 0 | 0 | 660 | 490 | 490 | 160 |
7 | 0 | 0 | 27.5 | 660 | 490 | 490 | 160 |
8 | 0 | 0 | 52.5 | 660 | 490 | 490 | 160 |
9 | 0 | 0 | 77.5 | 660 | 490 | 490 | 160 |
Qc | 0 | 0 | -20 | 150 |
Note: Semi-major search distance = major search distance ÷ 1, 1.5 or 2, and the vertical search distance = major search distance ÷ 4 |
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Figure 14-5: Dark Star Spatial Relationship Between Estimation Areas, Gold Domains and Drill Holes
One estimation pass was run for each domain, up to a maximum anisotropic search distance of 890 ft along the major axis. Search ellipse anisotropy varies from 1:1:4 to 1:2:4 (major versus semi-major versus minor axes). Composite- length weighting was applied to all estimation runs. Estimation parameters for each domain are given in Table 14-7.
Table 14-7: Dark Star Estimation Parameters
(for search orientations and maximum distances, see Table 14-6)
Description | Parameter |
Outer Shell Gold Domain |
Samples: minimum/maximum/maximum per hole | 1 / 12 / 3 |
Search anisotropies (ft): major/semimajor/minor (vertical) | 1 / varies 0.5 to 1 / 0.25 |
Inverse distance power | 3 |
High-grade restrictions (grade in oz Au/ton, distance in ft) | None |
Low-Grade Gold Domain |
Samples: minimum/maximum/maximum per hole | 1 / 12 / 3 |
Search anisotropies (ft): major/semimajor/minor (vertical) | 1 / varies 0.5 to 0.67* / 0.25 |
Inverse distance power | 3 |
High-grade restrictions (grade in oz Au/ton, distance in ft) | 0.079 / half max search |
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High-Grade Gold Domain |
Samples: minimum/maximum/maximum per hole | 1 / 12 / 4 |
Search anisotropies (ft): major/semimajor/minor (vertical) | 1 / 0.5* / 0.25 |
Inverse distance power | 3 |
High-grade restrictions (grade in oz Au/ton, distance in ft) | 0.292 / 245 |
Outside Modeled Gold Domains |
Samples: minimum/maximum/maximum per hole | 2 / 12 / 3 |
Search anisotropies (ft): major/semimajor/minor (vertical) | 1 / 0.5 / 0.25 |
Inverse distance power | 2 |
High-grade restrictions (grade in oz Au/ton, distance in ft) | 0.003 / 30 |
Qc Gold Domain |
Samples: minimum/maximum/maximum per hole | 1 / 9 / 3 |
Search anisotropies (ft): major/semimajor/minor (vertical) | 1 / 1 / 0.17 |
Inverse distance power | 2 |
High-grade restrictions (grade in oz Au/ton, distance in ft) | 0.01 / 60 |
* - Exception, ESTAR 5 major to semi-major axis search anisotropy is 1 |
14.2.4 | Dark Star Gold Mineral Resources |
Mr. Lindholm classified the Dark Star mineral resources giving consideration to confidence in the underlying database, sample integrity, analytical precision/reliability, QA/QC results, and confidence in geologic interpretations. The classification parameters are given in Table 14.48.
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Table 14-8: Dark Star Classification Parameters
Measured |
In modeled domain, and |
*Drill-hole confidence code ≥ 0.9, and |
Number of holes ≥ 3, and average distance ≤ 115 ft; Or |
Number of samples ≥ 3, and closest distance ≤ 50 ft |
Indicated |
In modeled domain and Main area, and |
Number of Samples ≥ 7 and isotropic distance ≤ 195 ft; Or |
Number of Samples ≥ 4 and isotropic distance ≤ 80 ft; Or |
Number of Samples ≥ 2 and closest distance ≤ 50 ft, Or |
Or |
In modelled domain and North area, and |
Number of Samples ≥ 7 and isotropic distance ≤ 165 ft; Or |
Number of Samples ≥ 4 and isotropic distance ≤ 65 ft; Or |
Number of Samples ≥ 2 and isotropic distance ≤ 35 ft, Or |
Measured Reduced to Indicated if: |
Metallurgy code indicates refractory or uncategorized material (METC = 100-199) |
Measured and Indicated Reduced to Inferred if: |
Inside reduced classification solid and closest distance ≥ 50 ft; Or |
In modeled domain and closest distance ≥ 100 ft and drill-hole confidence code ≤ 0.5*; Or |
In Tertiary Conglomerates and modeled domain, and closest distance ≥ 100 ft |
Inferred |
In modeled domain that is not Measured or Indicated; Or |
All estimated blocks outside modeled domains, and isotropic distance ≤ 65 ft**, Or |
In Qc gold domain |
*Confidence code of '1' assigned to holes drilled by Gold Standard with collar surveys, '0.5' to Gold Standard holes with no collar surveys, and '0' to historical drill holes |
**A strong search restriction on composites ≥0.003oz Au/ton within this distance (at 30 ft) was applied |
As described in Table 14-8, the amount of influence that historical data has on a given block decreases confidence in the estimated grade and consequently the classification. For a block to be classified as Measured mineral resources, 90% or more of the estimating composite grades must be derived from Gold Standard data. Similarly, block grades estimated with all composites beyond 100 ft based on 50% or more historical data are classified as Inferred mineral resources.
The results of the QA/QC evaluation revealed a project risk that warrants additional comment. There is no historical QA/QC except for 11 Mirandor drill holes. Consequently, the reliability of pre-Gold Standard data, and therefore model block grades derived predominantly from historical data, is diminished and contributes to the reduction in classification. Gold Standard did infill drill areas where historical drilling dominated, so the risk is mitigated in these areas.
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Since the April 2019 effective date of the database for Dark Star used in the 2020 PFS of Ibrado et al. (2020), 23, 32 and two additional holes were drilled in 2019, 2020 and 2021, respectively. Data for these holes, as well as assays for core hole DC19-01, were received with finalized assays from Gold Standard by the effective date of the database of June 15, 2021, and have been incorporated into the current resource model. Gold domains were updated with the newer information, and in general, the 57 added assay sets caused incremental changes to the domains and impacted in-pit mineral resources only locally. A number of holes were drilled as step-outs to the east of the Dark Star Main zone mineral resource pit, and encountered consistent very low-grade gold mineralization in Quaternary Colluvium, which was modeled separately from gold domains in Tertiary and older units. Overall, these added holes tested the veracity of the 2019 gold domain model, and the lack of significant changes to the 2019 resource estimate adds to the level of confidence in the block model. However, no increase in classification was necessary or warranted for the current resources, as essentially all of the Dark Star North mineralization in the optimized pit is classified as Measured or Indicated, and the primary cause for Inferred classification in the Dark Star Main pit is the heavier reliance on historical drilling.
Due to excessive snow conditions following the 2019 drilling program, many of the 2018-2019 drill collars were not surveyed. In all, 81 drill holes in the Dark Star database did not have surveyed collars. The assays associated with these holes were assigned confidence codes of 0.5. The net effect for classification is that Measured and Indicated mineral resources beyond 100 ft from a composite were reduced to Inferred status if the block was estimated using a combination of unsurveyed Gold Standard and historical drill holes. However, 63 of the unsurveyed collars have since been surveyed, so that only 18 holes remain unsurveyed. Gold domains have been modified to the slightly different drill-hole locations, and drill-hole confidence codes and resulting classification have been modified accordingly.
Another 20 RC and five core holes have been since the effective date of the current Dark Star database. Mr. Lindholm loaded these holes into the MineSight database, and evaluated the potential changes these holes would cause to the gold domains. The core holes were drilled to provide samples for metallurgical test work. However, recovery was poor, reportedly due to the inexperience of the drillers. No assays were obtained from these core holes. Of the RC holes, one was a step-out hole south of the modeled area that intercepted minimal grades, and nine were drilled into the Quaternary gravels west of Dark Star Main, which is not part of the reported resource. The remaining ten were infill holes within the modeled mineralization. Three and seven holes were drilled into Dark Star North and Main, respectively. Generally, the infill holes confirm the existing gold domain model and would cause minor changes to domains. Two holes did not confirm high-grade domain extensions from adjacent sections but resulting in-pit losses would be minimal. None of the late 2021 drilling would cause changes in pit size and shape, and in-pit resources would increase and/or decrease minor amounts only locally.
The exact nature of deep high-grade mineralization protruding down between the Ridgeline and IDK faults in the Dark Star North zone is not completely understood. Gold Standard interprets the zone as a possible breccia pipe or feeder for gold mineralization, although drilling does not yet confirm the hypothesis. However, despite this uncertainty, drilling consistently intersected mineralization in deep Dark Star North, and continues to confirm the presence of relatively high-grade mineralization in the zone.
Greater restrictions were applied to Measured and Indicated mineral resource material in specific areas of the gold domain block model due to locally limited understanding of geology and/or gold mineralization (excluding Dark Star North area discussed in the previous paragraph), or suspected (but not proven) down-hole contamination. For example, classification was restricted for mineralization associated with deep, isolated intercepts on the West fault.
A small amount of mineralization has been intercepted in drilling near the surface in Tertiary conglomerates at the southwest end of Dark Star Main. Although the mineralization is present in rocks younger than the bulk of the Dark Star deposit, Gold Standard has observed similar occurrences in Tertiary rocks in other areas of the district. No metallurgical test work has been performed on this material, although there are cyanide-soluble assays that provide a measure of gold recovery. The existence and shape of this mineralization has been confirmed in numerous drill holes, but because the exact nature of gold mineralization in Tertiary conglomerates is not understood, Indicated material was limited to within 100 ft of a composite.
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The author reports the Dark Star mineral resources at cutoffs that are reasonable for Carlin-type deposits of comparable size and grade. Technical and economic factors likely to influence the requirement “in such form and quantity and of such a grade or quality that it has reasonable prospects for eventual economic extraction” were evaluated using the best judgement of the author responsible for this section of the report. For evaluating the open-pit potential, MDA modeled a series of optimized pits using variable gold prices, mining costs, processing costs, and anticipated metallurgical recoveries. The authors used costs appropriate for open-pit mining in Nevada, estimated processing costs and metallurgical recoveries related to heap leaching, and G&A costs. The factors used in defining cutoff grades are based on a gold price of $1,750/oz.
The Dark Star mineral resource estimate is the fully block diluted ID3 estimate and is reported at variable cutoffs for open-pit mining. The cutoff for oxidized and transitional material is 0.005 oz Au/ton, whereas the cutoff for sulfide material is 0.045 oz Au/ton. No reported sulfide material is classified as Measured mineral resources. Table 14-9 through Table 14-12 present the estimates of the Measured, Indicated, combined Measured, and Indicated and Inferred gold mineral resources within the $1,750/oz Au pits. The breakdown of mineral resources by oxidation state is given in Appendix C. Representative cross sections of the gold block model in the Dark Star Main and North zones are given in Figure 14-6 and Figure 14-7, respectively. Mineral resources that are not mineral reserves do not have demonstrated economic viability.
Table 14-9: Dark Star Total In-Pit Gold Mineral Resources – Measured*
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 14,126,000 | 0.021 | 302,000 |
0.002 | 11,926,000 | 0.025 | 300,000 |
0.003 | 9,785,000 | 0.030 | 294,000 |
0.004 | 8,625,000 | 0.034 | 290,000 |
0.005 | 7,964,000 | 0.036 | 288,000 |
0.006 | 7,468,000 | 0.038 | 285,000 |
0.007 | 7,101,000 | 0.040 | 282,000 |
0.008 | 6,721,000 | 0.042 | 280,000 |
0.009 | 6,417,000 | 0.043 | 277,000 |
0.010 | 6,072,000 | 0.045 | 274,000 |
0.015 | 4,630,000 | 0.055 | 256,000 |
0.020 | 3,744,000 | 0.064 | 241,000 |
0.025 | 3,148,000 | 0.072 | 228,000 |
0.030 | 2,740,000 | 0.079 | 217,000 |
0.035 | 2,415,000 | 0.085 | 206,000 |
0.040 | 2,188,000 | 0.090 | 197,000 |
0.045 | 1,991,000 | 0.095 | 189,000 |
0.050 | 1,816,000 | 0.100 | 181,000 |
0.075 | 1,129,000 | 0.123 | 139,000 |
0.100 | 752,000 | 0.141 | 106,000 |
*mineral resources are inclusive of mineral reserves. |
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Table 14-10: Dark Star Total In-Pit Gold Mineral Resources – Indicated*
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 47,966,000 | 0.015 | 701,000 |
0.002 | 41,454,000 | 0.017 | 689,000 |
0.003 | 35,795,000 | 0.019 | 677,000 |
0.004 | 31,521,000 | 0.021 | 662,000 |
0.005 | 28,708,000 | 0.023 | 650,000 |
0.006 | 26,342,000 | 0.024 | 637,000 |
variable | 27,081,000 | 0.023 | 625,000 |
0.007 | 24,499,000 | 0.026 | 625,000 |
0.008 | 22,774,000 | 0.027 | 612,000 |
0.009 | 21,320,000 | 0.028 | 599,000 |
0.010 | 19,918,000 | 0.029 | 586,000 |
0.015 | 13,443,000 | 0.038 | 507,000 |
0.020 | 9,308,000 | 0.047 | 436,000 |
0.025 | 6,852,000 | 0.055 | 380,000 |
0.030 | 5,377,000 | 0.063 | 341,000 |
0.035 | 4,315,000 | 0.071 | 305,000 |
0.040 | 3,566,000 | 0.078 | 278,000 |
0.045 | 3,032,000 | 0.084 | 255,000 |
0.050 | 2,623,000 | 0.090 | 236,000 |
0.075 | 1,437,000 | 0.115 | 165,000 |
0.100 | 890,000 | 0.131 | 117,000 |
*mineral resources are inclusive of mineral reserves |
Table 14-11: Dark Star Total In-Pit Gold Mineral Resource- Measured and Indicated*
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 62,092,000 | 0.016 | 1,003,000 |
0.002 | 53,380,000 | 0.019 | 989,000 |
0.003 | 45,580,000 | 0.021 | 971,000 |
0.004 | 40,146,000 | 0.024 | 952,000 |
0.005 | 36,672,000 | 0.026 | 938,000 |
0.006 | 33,810,000 | 0.027 | 922,000 |
variable | 35,045,000 | 0.026 | 913,000 |
0.007 | 31,600,000 | 0.029 | 907,000 |
0.008 | 29,495,000 | 0.030 | 892,000 |
0.009 | 27,737,000 | 0.032 | 876,000 |
0.010 | 25,990,000 | 0.033 | 860,000 |
0.015 | 18,073,000 | 0.042 | 763,000 |
0.020 | 13,052,000 | 0.052 | 677,000 |
0.025 | 10,000,000 | 0.061 | 608,000 |
0.030 | 8,117,000 | 0.069 | 558,000 |
0.035 | 6,730,000 | 0.076 | 511,000 |
0.040 | 5,754,000 | 0.083 | 475,000 |
0.045 | 5,023,000 | 0.088 | 444,000 |
0.050 | 2,623,000 | 0.090 | 236,000 |
0.075 | 1,437,000 | 0.115 | 165,000 |
0.100 | 890,000 | 0.131 | 117,000 |
*mineral resources are inclusive of mineral reserves. |
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Table 14-12: Dark Star Total In-Pit Gold Mineral Resources – Inferred*
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 3,650,000 | 0.007 | 26,000 |
0.002 | 2,178,000 | 0.011 | 24,000 |
0.003 | 1,784,000 | 0.013 | 23,000 |
0.004 | 1,597,000 | 0.014 | 22,000 |
0.005 | 1,425,000 | 0.015 | 21,000 |
0.006 | 1,281,000 | 0.016 | 21,000 |
0.007 | 1,152,000 | 0.017 | 20,000 |
0.008 | 1,053,000 | 0.018 | 19,000 |
variable | 1,296,000 | 0.015 | 19,000 |
0.009 | 962,000 | 0.019 | 18,000 |
0.010 | 864,000 | 0.021 | 18,000 |
0.015 | 549,000 | 0.026 | 14,000 |
0.020 | 690,000 | 0.022 | 15,000 |
0.025 | 178,000 | 0.039 | 7,000 |
0.030 | 118,000 | 0.042 | 5,000 |
0.035 | 75,000 | 0.053 | 4,000 |
0.040 | 54,000 | 0.056 | 3,000 |
0.045 | 44,000 | 0.045 | 2,000 |
0.050 | 38,000 | 0.053 | 2,000 |
0.075 | 2,000 | 0.000 | - |
0.100 | - | - | - |
*mineral resources are inclusive of mineral reserves. |
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Figure 14-6: Dark Star Main Zone Gold Domains and Block Model – Section N14696823
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Figure 14-7: Dark Star North Zone Gold Domains and Block Model – Section N14698399
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Although the authors are not experts with respect to environmental, permitting, legal, title, taxation, socio-economic, marketing, or political matters, the authors are not aware of any unusual factors relating to these matters that may materially affect the Dark Star mineral resources as of the effective date of this Technical Report.
14.2.5 | Dark Star Cyanide-Soluble Gold and Geo-Metallurgical Models |
A cyanide-soluble gold block model was produced to characterize the spatial variability of cyanide solubility of gold at Dark Star. The model was estimated using the ratio of cyanide-soluble gold assays to fire-assay gold contents (“AuCN/AuFA”). These ratios are graphically depicted in the cumulative probability plot in Figure 14-8 and were capped at 110% in samples because using data capped at 100% would introduce a low bias in the estimated ratio values. Composites were also not modified, but all estimated values in the block model were capped at 100%. Two distinct AuCN/AuFA ratio populations, separated by a broad gradational zone from 65% to 90% cyanide-solubility, are apparent in the plot.
Figure 14-8: Cumulative Probability Plot of Dark Star AuCN/Au Ratios
AuCN/AuFA ratios were estimated by rock units separately within the Chainman Formation, within each of the lower siltstone, middle conglomerate, and upper siltstone units of the Pennsylvanian-Permian undifferentiated, and within the Tertiary conglomerates. Ratios were not estimated in the post-mineralization Tertiary Indian Well Formation and Quaternary rocks, which contain no gold. ID3 methodology was used, and only AuCN/AuFA ratios with fire-assay gold grades >0.0015 oz Au/ton were included in the estimate. Maximum major and semi-major search distances applied were 1150 ft, with strong anisotropy of 4:1 relative to the minor search axis. Estimated block AuCN/AuFA ratios were capped at 100%.
Refractory solids were modeled by Gold Standard to segregate zones in the deposit for which gold will not likely be extractable by cyanide heap-leach methods. The authors evaluated the solids and determined that they appear reasonable compared to AuCN/AuFA ratios, assayed sulfide-sulfur percent, and logged redox and sulfide percentages. Assayed total-sulfur percent correlates moderately well, but there is relatively high total sulfur with correspondingly low sulfide sulfur percent (presumably representing sulfate minerals) outside the refractory solid. The correlation between refractory solids and logged oxide minerals in drill holes is not as good, because there are zones of mixed iron oxide and sulfide material outside the solids that do not represent completely non-refractory material. In summary, the refractory solids represent material that contains little or no oxidation, whereas the areas outside the solids are mixed oxide and sulfide, or predominantly oxidized rock.
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As per metallurgical guidance provided in Section 13, unique metallurgical codes were assigned to the block model based on estimated AuCN/AuFA ratios, refractory zones, rock units, and silicification solids (discussed in Section 14.2.2). Cyanide solubilities and refractory zones were used to define the base metallurgical code group, whereas rock units and silicification were used to further sub-divide those groups of codes. Metallurgical codes were assigned as follows:
| · | Sulfide, low gold recovery: AuCN/AuFA ratios less than 60% or greater than 50% of block is in refractory solid; gold recovery is low; |
| · | Transitional, moderate gold recovery: AuCN/AuFA ratios between 60% and 85%, moderate gold recovery; and |
| · | Oxide, high gold recovery: AuCN/AuFA ratios greater than 85%. |
14.2.6 | Dark Star Acid-Base Accounting Model and Estimation |
An acid-base accounting (“ABA”) block model was produced to characterize the spatial variability of potential acid- generating (“PAG”) or neutralizing potential (“NAG”) for mine planning and handling of mined material. The authors estimated inorganic carbon (“CINO”) and sulfide sulfur (“SSUL”) into this block model, and designated model blocks as either PAG or NAG. All calculations and PAG/NAG designation criteria were provided by Stantec.
Gold Standard provided LECO analyses of carbon and sulfur species for samples that varied between those on original core intervals (1 ft to 6 ft) to RC sample composites (10 ft to 35 ft). Assayed CINO values were used, or the values were converted from assayed CO2%. The relationship between total organic and inorganic carbon was applied as well where necessary. In the data received from Gold Standard, below-detection limit values were substituted for assays below detection. MDA modified the below-detection assays per Stantec guidance, so that carbon species assays were equal to one-half the below-detection value, and sulfur species assays below detection were set to ‘0’.
The authors evaluated CINO and SSUL statistics by rock unit, refractory zone and silicified zone (Table 14-13 and Table 14-14). The statistics in the tables are summarized according to categories chosen for estimation into the block model.
Table 14-13: Number of Samples and Mean Inorganic Carbon Values for Dark Star Estimation Categories
(by rock unit, zones inside [refractory] or outside [oxide and transitional] refractory solids, and in/out of silicified zones)
Estimation Category | Chainman Formation | Lower Siltstone |
# of Samples | Mean Value (%) | # of Samples | Mean Value (%) |
Oxide and Transitional, not silicified | 100 | 0.199 | 529 | 1.054 |
Oxide and Transitional, silicified | 138 | 0.285 |
Refractory, not silicified | 326 | 0.683 | 523 | 3.009 |
Refractory, silicified | 39 | 0.218 |
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Estimation Category | Middle Conglomerate | Upper Siltstone | Tertiary Conglomerates |
# of Samples | Mean Value (%) | # of Samples | Mean Value (%) | # of Samples | Mean Value (%) |
Not silicified | 961 | 0.776 | 490 | 0.189 | 118 | 0.176 |
Silicified | 3,449 | 0.102 | 520 | 0.035 | 110 | 0.008 |
Estimation Category | Indian Wells Formation | Quaternary Alluvium |
# of Samples | Mean Value (%) | # of Samples | Mean Value (%) |
All Data | 110 | 0.051 | 27 | 0.148 |
Table 14-14: Number of Samples and Mean Sulfide Sulfur Values for Dark Star Estimation Categories
(by rock unit, zones inside [refractory] or outside [oxide and transitional] refractory solids)
Estimation Category | Chainman Formation | All Tomera Formation | Tertiary Conglomerates |
# of Samples | Mean Value (%) | # of Samples | Mean Value (%) | # of Samples | Mean Value (%) |
Oxide and Transitional | 100 | 0.327 | 7,396 | 0.085 | 329 | 0.182 |
Refractory | 326 | 1.956 | 1,007 | 0.768 | 18 | 0.959 |
Estimation Category | Indian Wells Formation | Quaternary Alluvium |
# of Samples | Mean Value (%) | # of Samples | Mean Value (%) |
All Data | 180 | 0.025 | 138 | 0.037 |
CINO statistics varied systematically by rock unit in combination with silicification for the middle conglomerate, upper siltstone, and Tertiary conglomerate. This correlation is indicative of the inverse relationship between silica and carbonate contents in increasingly altered and mineralized rocks due to silicification and decarbonization. CINO in the lower siltstone showed similar trends, but statistics also indicated differences inside and outside the modeled refractory solids. In the Chainman Formation, which is only locally mineralized, the variability observed was by refractory zone only. SSUL statistics indicated strong relationships by refractory zone within each of the Chainman Shale, all units of the Tomera Formation equivalent together, and the Tertiary conglomerate. No systematic differences were observed in CINO or SSUL for the Indian Well Formation or the Quaternary colluvium, so each was estimated using all respective contained data.
CINO and SSUL were estimated independently into the block model, according to the categories described above. CPPs for each species estimated were evaluated by category for potential capping of assays, but none was warranted. Nearly half the sample composites are 30 ft in length. Given the model block dimension of 30 ft3, and the adverse effect of de-compositing to shorter interval lengths, assay data were composited to 30 ft.
All estimates were done using the same search orientations and associated estimation areas as applied to the gold estimate (Table 14-6). The maximum search distance applied for both CINO and SSUL estimates was 985 ft. Search ellipses were moderately anisotropic, with major, semi-major and minor search distances at 985 ft, 790 ft, and 395 ft, respectively, and inverse distance squared methodology was used. Due to the relatively long composite length, the maximum number of composites, and maximum composites per hole allowed to estimate a block were limited to five and two, respectively. Review of CPP’s justified search restrictions for a limited number of the estimated CINO categories, which were applied; however, none were necessary for SSUL estimates.
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Correlograms were generated to evaluate continuities in the data with respect to distance. These demonstrated reasonable continuity at ranges up to 1,310 ft, depending on rock unit, refractory type, and/or silicification zones. However, the LECO data is not evenly distributed within the deposits. The data at Dark Star Main is relatively well- distributed, but at Dark Star North, data is concentrated in the central portion of the gold mineralization. As a result, there are significant volumes of rock within potentially mined areas, particularly to the east and west of Dark Star North, where data is sparse or absent. Estimated grades of CINO and SSUL in these areas are relatively far from assayed samples. To flag model blocks that are at relatively greater distances from assays, Mr. Lindholm assigned confidence codes (value of ‘0’) to all estimated blocks with closest composite greater than 590 ft away. Because CINO and SSUL were estimated according to different criteria, these codes were assigned separately for each, and a combined code was assigned if either CINO or SSUL confidence codes was ‘0’.
Model blocks were designated as PAG (code of ‘1’) or NAG (code of ‘2’) according to criteria as defined by Stantec. First, acid-neutralizing potential (“ANP”), acid-generating potential (“AGP”), and net neutralizing potential (“NNP”) values were calculated from estimated CINO and SSUL values. Next, PAG/NAG designation was assigned according to criteria for three potential waste-characterization scenarios in Table 14-15. A fourth scenario was added by Stantec and Gold Standard to help with planning prior to mining but will not be considered for handling waste during mining.
Table 14-15: PAG/NAG Designation Criteria
PAG/NAG Designation - Scenario 1 |
Designate as NAG if NNP ≥ 20 and ANP/AGP ≥ 3 |
Designate as PAG if NNP < 20 or ANP/AGP < 3 |
PAG/NAG Designation - Scenario 2 |
Designate as NAG if SSUL ≥ 0.1% and NNP ≥ 20 and ANP/AGP ≥ 3; Or SSUL < 0.1% and ANP/AGP ≥ 3 |
Designate as PAG if SSUL ≥ 0.1%, and NNP < 20 or ANP/AGP < 3; Or SSUL < 0.1% and ANP/AGP < 3 |
PAG/NAG Designation - Scenario 3 |
Designate as NAG if NNP ≥ 0.92 and ANP/AGP ≥ 0.77 |
Designate as PAG if: NNP < 0.92 or ANP/AGP < 0.77 |
PAG/NAG Designation - Scenario 4 (not considered for mining) |
Designate as NAG if SSUL > 0.25% and NNP ≥ -20 and ANP/AGP ≥ 1.2; Or SSUL ≤ 0.25% |
Designate as PAG if SSUL ≥ 0.25% and ANP/AGP < 1.2; Or SSUL > 0.25% and NNP < -20 |
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In Dark Star North there are areas in the upper reaches of potentially mineable pits, along the east and west sides, where no CINO or SSUL composite data was within 985 ft, and either or both species remained un-estimated. As a result, designation as PAG or NAG was not possible using the above criteria. In agreement with Stantec, the authors assigned PAG or NAG designations for each of the four options described by rock unit, based on the PAG/NAG designation of adjacent blocks. The assignments were only necessary for blocks in Upper Siltstone, Tertiary conglomerate, and Quaternary colluvium. These assigned designations represent about one percent of the model tonnage within potential pits, nearly all of which is in Dark Star North.
14.2.7 | Dark Star Clay Model and Estimation |
Gold Standard requested a clay model to determine the relative quantity of clay material that will be encountered and potentially affect crushing and grinding. A source of under-liner material for leach pads and waste dumps was also sought. According to Gold Standard geologists, the most abundant clay alteration or weathering at Dark Star is found in post-mineral units, particularly tuffs and conglomerates. It also occurs in structural zones in a more limited in extent.
The only comprehensive clay data is subjective logging in drill holes on a scale from 0 (no clay) to 3 (strong clay alteration). The authors evaluated logged clay values statistically with respect to formation, gold domains, silicification and redox. Based on the statistical analysis, clay was estimated in the block model as follows:
| · | Chainman Formation and Tomera Formation equivalent in silicification solid within all gold domains, |
| · | Chainman Formation and Tomera Formation equivalent in silicification solid outside all gold domains, |
| · | Chainman Formation and Tomera Formation equivalent outside silicification solid within all gold domains, and |
| · | Outside above estimated blocks by individual formations. |
Because the logged clay data is subjective and the scale of the logging is broadly qualitative, the estimate is a very generalized representation of the clay content in the deposit. The values in the block model (0.00 to 3.00) provide a rough, imprecise estimation of the strength of clay alteration in a given area. The maximum search distance was limited to 150 ft, and un-estimated blocks were left as blank values.
Application of density values to the block model was dependent on numerous modeled criteria that have been discussed in various prior sections. There are 1,122 density measurements in the Dark Star database. All samples were measured using the immersion method by an independent laboratory. The values assigned to the model, by rock unit (Section 14.2.2), gold domains (Section 14.2.3), and refractory zone (Section 14.2.5), are summarized in Table 14-16. Spatially, the Dark Star North zone is well represented; however, there is no density data in the northern 650 ft of the deposit. The Dark Star Main zone is moderately well-represented, although core holes are somewhat clustered locally so that there are areas with no density data.
Table 14-16: Density Values Applied to the Dark Star Block Model
Formation | Gold Domains | Refractory Zone | Number of Samples | Density (g/cm3) | Tonnage Factor |
Chainman Fm | All | All | 29 | 2.46 | 13.03 |
Tomera Fm equivalent - STL | OS and Outside Domains | Out | 74 | 2.27 | 14.12 |
Tomera Fm equivalent - STL | LG and HG | Out | 4 | 2.41 | 13.30 |
Tomera Fm equivalent - STL | OS and Outside Domains | In | 170 | 2.47 | 12.98 |
Tomera Fm equivalent - STL | LG and HG | In | 1 | 2.63 | 12.19 |
Tomera Fm equivalent - CGL | OS and Outside Domains | Out | 336 | 2.39 | 13.41 |
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Tomera Fm equivalent - CGL | LG and HG | Out | 249 | 2.50 | 12.82 |
Tomera Fm equivalent - CGL | OS and Outside Domains | In | 46 | 2.39 | 13.41 |
Tomera Fm equivalent - CGL | LG and HG | In | 19 | 2.59 | 12.38 |
Tomera Fm equivalent - STU | OS and Outside Domains | Out | 104 | 2.41 | 13.30 |
Tomera Fm equivalent - STU | LG and HG | Out | 28 | 2.56 | 12.52 |
Tomera Fm equivalent - STU | OS and Outside Domains | In | 3 | 2.46 | 13.03 |
Tomera Fm equivalent - STU | LG and HG | In | 2 | 2.61 | 12.28 |
Tertiary Conglomerates | All | All | 32 | 2.45 | 13.08 |
Tertiary Indian Well Formation | All | All | 21 | 2.30 | 13.94 |
Quaternary Colluvium | All | All | 4 | 1.90 | 16.87 |
Formation acronyms: STL - lower siltstone, CGL - middle conglomerate, STU - upper siltstone |
Gold Domain acronyms: OS - outer shell, LG - low-grade, HG - high-grade |
Tonnage Factor = 2000 / (Density * 62.4) |
The middle conglomerate unit of the Pennsylvanian-Permian undifferentiated (possibly Tomera Formation equivalent), the primary host of gold at Dark Star, is well-represented with nearly 650 density samples. There are at least 70 density samples within the outer shell/outside domains in the lower siltstone unit, a secondary host. However, there are only four samples in the low- or high-grade domains of the lower siltstone. Where a low number of density samples (<~20) were measured for a given category, the density values were evaluated and modified using data from units with similar geological characteristics that are based on more density measurements. A density value of 2.46 g/cm3 was assigned to the Chainman Formation based on 29 measurements. A similar value was assigned to the same unit for the Pinion deposit, where there were more measurements.
Lower densities are associated with clay alteration. However, Gold Standard has indicated that clay zones are not common or pervasive in the Dark Star mineralized zones. Although there are some density measurements of clay material that have been included in the statistical groupings in Table 14-16, density values that represent clay zones were not assigned locally in the block model. As a result, there are likely some inaccuracies with respect to tonnages in parts of the block model. Potentially more significant is clay alteration or weathering considered to be responsible for the variable density values observed for the Tertiary Indian Well Formation. Drilling is limited in the unit, and although Gold Standard believes the unit consists primarily of unwelded tuffs that are weathered to clays, the clay zones and associated densities cannot be properly represented. Of 21 samples measured, ten density values ranged from 1.73 to 2.08 (presumably clay) and nine between 2.23 and 2.58 (presumably unaltered). A value of 2.30 was assigned to the unit as a whole, based on data localized in one area over the deposit. However, given the actual variability in densities in the formation, and since the rock unit is entirely waste material, local tonnages are probably not well- defined, and total waste tons in the resource block model may be overstated.
14.2.9 | Discussion of Dark Star Estimated Gold Mineral Resource and Supporting Models |
Since the April, 2019 effective date of the database for Dark Star used in the 2020 PFS of Ibrado et al. (2020), an additional 23, 32 and two holes were drilled in 2019, 2020 and early 2021, respectively. Data for these holes, as well as assays for core hole DC19-01, were received with finalized assays from Gold Standard by the effective date of the database of June 15, 2021, and have been incorporated into the current resource model. Gold domains were updated with the newer information. In general, the 57 added assay sets caused minor, incremental changes to the domains and impacted in-pit mineral resources only locally. A number of holes were drilled as step-outs to the east of the Dark Star Main zone mineral resource pit, and encountered consistent, very low-grade gold mineralization in Quaternary Colluvium, which was modeled separately from gold domains in Tertiary and older units. Overall, new drilling tested the veracity of the 2019 gold domain model, and the lack of significant changes to the 2019 resource estimate adds to the level of confidence in the block model and gold estimate. However, no increase in classification was necessary or warranted for the current resources, as essentially all of the Dark Star North mineralization in the optimized pit is classified as Measured or Indicated, and the primary cause for Inferred classification in the Dark Star Main pit is the heavier reliance on historic drilling.
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Gold domains were also modified slightly for 63 newly surveyed holes that were drilled in 2018-2019. Only 18 holes in the Dark Star database remain unsurveyed, and drill-hole confidence codes and resulting classification have been modified accordingly.
Twenty RC and five core holes have been drilled since the effective date of the current database. Recovery was low in the core holes, and no assays were obtained. Nine of the RC holes were drilled into the Quaternary gravels west of Dark Star Main, which is not part of the reported resource, and one hole was drilled outside modeling to the south. The remaining ten were infill holes within the modeled mineralization, and generally confirm the existing gold model. None of the infill holes would cause changes in pit size and shape, and in-pit resources would increase and/or decrease minor amounts only locally.
Dark Star has a long history of exploration drilling dating back to 1984, and consequently there are many drill holes of varying quality and reliability, and with varying amounts of supporting documentation. In all, six companies, including Gold Standard, have performed exploration drilling on the property. About 78% of the holes were drilled by Gold Standard, for which QA/QC procedures were consistently performed. About 73% of the assay certificates exist for all data, and MDA had access to essentially 100% of the Gold Standard certificates. There is a lack of documentation for historical drilling, and QA/QC exists for only 11 holes drilled by Mirandor. As a result, classification of the mineral resources was reduced in areas relying predominantly on historical data. Overall, this reduction did not significantly affect the mineral resources because Gold Standard compensated for the lack of confidence by infill drilling in areas that are predominantly defined by historical drilling. However, there are still a few areas, e.g., the southeast part of Dark Star Main, where little or no Gold Standard drilling exists, and classification is consequently lower.
In general, the geology of gold mineralization is well understood. The geometry of mineralized zones is well defined, particularly in shallow areas between the Ridgeline and IDK faults in the Dark Star Main and North zones, as well as in the footwall of the Ridgeline fault in the Main zone, where drilling is relatively dense. However, the relationship between mineralization and the Ridgeline fault is not well understood.
Some significant gold grades have been intercepted in multiple drill holes extending down between the Ridgeline and IDK faults in Dark Star North. Although the geometry and occurrence of this mineralization are not fully understood, drilling has continued to intersect relatively high-grade mineralization in the area. Measured and Indicated mineral resource classification consistent with the bulk of the Dark Star deposit has been applied to most of this deep Dark Star North mineralization.
Classification as Indicated mineral resource was made more restrictive in the deepest zones, where the general depth below the water table and the presence of anomalous cyanide-soluble gold ratios suggest the possibility of down-hole contamination. Because potential contamination is suspected by some geologists, it remains a risk, which is represented by the slightly stricter classification criteria.
One obvious association between faults and mineralization is the consistent occurrence of gold along the West fault. Mineralization has been intercepted in drill holes down-dip along this fault and represents potential for additional mineralization at depth.
The cyanide-soluble gold block model appears reasonable in areas with Gold Standard drilling. In some areas, such as where historical drilling is predominant, AuCN assays are lacking and there is less confidence in the block model.
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Also, the Aucn data lacks QA/QC support. The refractory solids are sufficient for use in the block model to define refractory material. It is believed that there is enough data to further refine the refractory model by delineating transitional oxide/sulfide from generally completely oxidized material.
The ABA block model estimate is reasonable within data limits, although the estimate may be too smooth because of long 30 ft composites. This was somewhat offset by limiting the maximum number of composites to estimate a block. Distribution of LECO data in Dark Star Main is reasonable. However, there are substantial areas in Dark Star North that are at significant distances from assayed samples. To help qualify risks relative to distance from data, estimated model blocks >590 ft from the nearest LECO composite were flagged with a lower confidence code. Also, CINO and/or SSUL were not estimated in some of areas of the model, and therefore, blocks cannot be designated as PAG or NAG using the criteria applied to the rest of the model. PAG or NAG was assigned to these unclassified blocks according to the designation of the nearest groups of blocks with similar geologic characteristics where CINO and SSUL were both estimated.
For all classified material, the current mineral resource tons at 0.005 oz Au/ton were larger by ~3%, gold grade was lower by ~5%, and total gold ounces were lower by ~2% compared to the 2019 Dark Star mineral resource estimate reported in the PFS update (Ibrado et al, 2020). A significant number of the 87 holed drilled since the PFS update are considered infill and delineation holes, which generally do not result in increases in gold resources but contributed to increases in classification. The gold price of the reported optimized pit was increased from $1,500 to the currently reported $1,750. It has been demonstrated at Dark Star that optimized pits increase in size only incrementally with changes in gold price, generally less than 1% for each $25 increase in the price of gold, so the difference between the reported pits is relatively small.
There were differences in the gold model and resources estimated as a result of the conversion from metric to Imperial units. For example, the block dimensions were increased slightly from 9 m x 9 m x 9 m to 30 ft x 30 ft x 30 ft. Additional dilution, albeit only a small amount, would be expected with the larger block sizes. MDA performed a bench-height study on composite data to evaluate the potential changes to the mineral resource attributed to the additional dilution with the changed bench height, and showed that, for resources above a 0.006 oz Au/ton cutoff, the gold grade would decrease by about 2% and tons would increase by about 6%. Also, there are incremental differences in the section and level plan locations causing changes to the modeled gold domains, and consequently to the gold resources.
There is the possibility of additional risk that has resulted from the conversion from metric to Imperial units of drill-hole collar coordinates. Gold Standard holes were surveyed in metric units, so the direct conversion of northings and eastings using a factor of 1 m = 3.280833333 ft maintained the spatial relationship between these drill-hole data and associated geology modeling, domains and block model, which were also converted using identical values. However, it is believed that some historical drill collars were originally surveyed in feet and later converted to metric. Comparisons of metric and Imperial coordinates in the collar tables received from Gold Standard indicate conversion factors were inconsistently applied. Because values of northings and eastings are so large, discrepancies up to 150 ft can result by application of conversion factors that differ in the fifth decimal place. The risks associated with such potential discrepancies have been accounted for in the reduced classification of mineral resources in areas relying predominantly on historical data.
In addition to the mineral resources reported herein, there is mineralization that continues beyond and contiguous with the reported mineral resources. The reported mineral resources are pit-constrained and therefore most of the estimated contiguous mineralization outside the pits (tons, grade, and ounces) is unreported. That additional mineralization is shown graphically in Figure 14-9.
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Note: dark lines are drill holes; blue solid is the 0.004 oz Au/ton grade shell; red is the mineral resource pit shell.
Figure 14-9: Dark Star Optimized Pit and Additional Mineralization
The Dark Star deposit has clustered drill data, which lies primarily within the optimized-pit limits where mining would likely take place. This area also contains a large proportion of the highest-grade material, particularly in the Dark Star North zone. Gold grades from clustered data will tend to project into areas with sparse, non-clustered data during estimation, and a large number of block grades are attributed to only a small number of samples. This effect, which was noted to some extent during gold domain model checking, is mitigated somewhat by estimating with ID3 rather than ID2. De-clustering of composite data was not necessary because the majority of the adverse effect in the estimate occurs outside potential open pits and is not part of the reported mineral resource. Also, new drilling in 2019 to 2021 has mitigated the effects of clustered data somewhat, although it is still evident.
Significant clay alteration or weathering is likely responsible for the variable density values observed for the Tertiary Indian Well Formation. Of 21 samples measured, ten values ranged from 1.73 to 2.08 (presumably clay) and nine between 2.34 and 2.58 (presumably unaltered). A value of 2.30 was assigned to the unit as a whole, based on data localized in one area over the deposit. Given the variability in densities in the Indian Well Formation, local tonnages of the unit are probably not well-defined. However, Gold Standard believes the unit consists primarily of unwelded tuffs that are weathered to clays, so total waste tons in the model may be overstated.
14.3 | PInion Deposit Mineral Resources |
This Pinion estimate is based on data derived from drilling completed into 2020, through drill holes PR20-60, PC20- 15, SS19-09 and ST19-02. All gold, silver and barium data were received for the 2020 drilling by March 21, 2021. The LECO assays were received on June 2, 2021, which is the effective date of the database. Although the gold, silver and barium estimates, as well as the ABA model, were completed as of May 13, 2021, the effective date of the Pinion mineral resource estimate is January 31, 2022 when new optimized pit shells using more current mining costs were generated. Gold and silver resources, as well as barium, AuCN/AuFA ratios and ABA models are reported herein.
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Following the Pre-Feasibility study of Ibrado et al. (2020), Gold Standard made a decision to convert all project data from metric to Imperial units. MDA converted all length data, including collar northings and eastings, from meters to feet (1 m = 3.280833333 ft), and assay grades from g/tonne to oz/ton (1 oz/ton = 34.285714 g/tonne). Section plane spacing, block model block sizes, and other modeling dimensions were changed. Specifics and ramifications of the conversions are discussed in various sections below.
The Pinion drilling mineral resource database received from Gold Standard and then audited by MDA contains 814 drill holes with 422,703.5 ft of drilling (Table 14-17). That drilling was done by twelve companies since 1981, including Gold Standard, which began drilling in 2014. Of those holes, 87% are RC and 12% are core. The Pinion database also contains two and 27 RC holes drilled at the Ski Track and LT targets, respectively. One sonic hole was drilled, and the remainder are of unknown type. Holes drilled or with assays received after the effective date of the database are not included in the table. A drill-hole map is given in Figure 14-10.
Table 14-17: Drill Holes at Pinion
Type of hole | Count | Drilled Feet |
Core | 96 | 43,569.3 |
RC | 705 | 375,232.0 |
Sonic | 1 | 97.0 |
Unknown | 12 | 3,805.0 |
Grand Total | 814 | 422,703.3 |
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Figure 14-10: Pinion Deposit Drill-Hole Map and Mineral Resource Outline
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Table 14-18 presents descriptive statistics of all accepted analytical or measured Pinion drill-hole sample data that was audited and imported into MineSight by MDA, except for the geochemical trace elements. The Pinion drill database contains 60,389 gold assay records, of which 59,751 were accepted and are summarized in Table 14-18. There were 638 records rejected due to suspected down-hole contamination, core recovery of less than 50% or intervals with geology and mineralization that conflicted with surrounding holes. There are fewer silver assays than gold because many prior operators did not analyze for silver. Initially, Gold Standard submitted composites for silver assays, however, pulps were rerun on individual assay intervals within and adjacent to gold mineralization. Barium, trace elements, cyanide-soluble gold and silver, and carbon and sulfur species were analyzed as well as gold and silver, and densities were measured. Logged core recovery and RQD were loaded into the database but were not audited. A few recoveries and RQD values >100% exist. Logged geologic data, including rock types, formation, faults, vein type and intensity, silicification, clay, dolomite, barite, limonite, hematite, carbon, sulfide percent, and percent reduced were imported into the database, generally reviewed, and used for geologic and domain modeling where applicable. Collar locations, downhole survey data, and gold, silver, barium and LECO analyses, were verified as described in Section 12.
Table 14-18: Pinion Descriptive Statistics - Exploration and Mineral Resource Drill-Hole Database
(accepted sample data only)
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
FROM | 61,427 | | | | | 0.0 | 2550.0 | ft |
To | 61,427 | | | | | 3.0 | 2555.0 | ft |
Length | 61,427 | 5.0 | 5.5 | | | 0.3 | 187.0 | ft |
Au | 59,751 | 0.000 | 0.004 | 0.013 | 3.1 | 0.000 | 0.4 | oz Au/ton |
Ag | 47,115 | 0.007 | 0.036 | 0.239 | 6.7 | 0.000 | 44.7 | oz Ag/ton |
AuCN | 6,132 | 0.006 | 0.011 | 0.017 | 1.5 | 0.000 | 0.3 | oz Au/ton |
AgCN | 3,265 | 0.015 | 0.047 | 0.120 | 2.6 | 0.000 | 4.2 | oz Ag/ton |
Density | 443 | 2.600 | 2.578 | 0.233 | 0.1 | 1.750 | 4.0 | g/cm3 |
Core recovery* | 3,235 | 98.300 | 91.260 | 15.600 | 0.2 | 0.000 | 166.6 | % |
RQD* | 3,235 | 24.600 | 34.080 | 35.030 | 1.0 | 0.000 | 204.5 | % |
*Core recovery and RQD data have not been audited and contain values exceeding the maximum of 100%. |
14.3.2 | Pinion Geologic Model |
Gold Standard built digital, cross-sectional interpretations for faults, formations, rock units, occurrence of logged barite, silicification, and metallurgically refractive material. MDA combined the formation contacts and fault surfaces to produce 3D formation solids, and revised the barite solids. Silicification solids provided by Gold Standard were used to separate a moderate to strong silicified zone within the solids from weak or absent silicification outside. These geologic interpretations were used to guide the metal domain, ABA and geo-metallurgical modeling.
MDA’s formation solids produced from Gold Standard’s geologic model define the location of multi-lithic breccia, Sentinel Mountain Dolomite, Devils Gate Limestone, and the Webb, Chainman, and Tripon Pass formations. Alluvial cover at Pinion is minimal and was not modeled. Several of the fault surfaces provided by Gold Standard were used to project offsets of formations and metal domains, and in some cases explain deeper mineralization that may be structurally controlled. The formational units and faults are summarized in Section 7 of this Technical Report.
The authors reviewed the silicification solids provided by Gold Standard. The solids compare well with logged silicification values of ‘2’ and ‘3’ (‘3’ representing the strongest silicification). Continuity in the modeled solids was broadly established by default as a function of the logged data, although continuity was lacking somewhat between sections where silicification was more localized.
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14.3.3 | Pinion Gold Domains and Estimation |
14.3.3.1 | Gold Domain Model |
Gold domains based on sample assays were modeled on cross sections spaced 98.5 ft apart, oriented east-west and looking north. This spacing was originally 30 m. The geologic model guided interpretation and explicit modeling of the gold domains. These domains were defined based on population breaks on cumulative probability plots of the gold assays prior to compositing (Figure 14-11). The domain grade ranges were originally determined using assay data in g Au/t, and converted to oz Au/ton. The CPP was remade to reflect Imperial units; however, some of the grade breaks apparent on the metric chart were not as readily apparent on the Imperial chart. The lower limit of the outer shell gold domains does not plot well on the CPP because the level of precision of the statistical package used is only three decimal places. Grade ranges converted from those originally determined in metric units were retained, and used for modeling gold domains as follows:
| · | Low-grade gold domain: ~0.0012 oz Au/ton to ~0.009 oz Au/ton, and |
| · | High-grade gold domain >~0.009 oz Au/ton. |
Descriptive statistics are presented in Table 14-19. Core photos, where available, were reviewed, and were helpful in interpretations.
Figure 14-11: Cumulative Probability Plot of Pinion Deposit Gold Assays
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Table 14-19: Pinion Deposit Descriptive Gold Statistics by Domain
(accepted sample data only)
Low-grade Gold Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 6,346 | 5.0 | 5.0 | | | 1.0 | 20.0 | ft |
TYPE | 6,346 | | | | | 1 | 9 | |
Au | 6,231 | 0.0025 | 0.0031 | 0.0034 | 1.09 | 0.0 | 0.1219 | oz Au/ton |
Capped Au | 6,231 | 0.0025 | 0.0031 | 0.0029 | 0.94 | 0.0 | 0.0379 | oz Au/ton |
AuCN | 1,412 | 0.0032 | 0.0035 | 0.0029 | 0.84 | 0.0004 | 0.0353 | oz Au/ton |
AuCN/AuFA ratio | 1,412 | 79.0 | 75.0 | 27.8 | 0.40 | 2.0 | 253.0 | % |
Density | 60 | 2.58 | 2.54 | 0.20 | 0.08 | 1.88 | 2.79 | g/cm3 |
Core recovery* | 440 | 95.8 | 88.0 | 19.5 | 0.22 | 0.0 | 125.0 | % |
RQD* | 440 | 42.0 | 40.5 | 32.6 | 0.81 | 0.0 | 125.0 | % |
High-grade Gold Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 10,769 | 5.0 | 4.9 | | | 0.5 | 15.0 | ft |
TYPE | 10,769 | | | | | 1 | 9 | |
Au | 10,557 | 0.0146 | 0.0220 | 0.0250 | 1.14 | 0.0 | 0.3576 | oz Au/ton |
Capped Au | 10,557 | 0.0146 | 0.0220 | 0.0250 | 1.14 | 0.0 | 0.3576 | oz Au/ton |
AuCN | 3,813 | 0.0102 | 0.0159 | 0.0202 | 1.27 | 0.0004 | 0.3135 | oz Au/ton |
AuCN/AuFA ratio | 3,813 | 82.0 | 76.5 | 22.5 | 0.30 | 1.0 | 253.0 | % |
Density | 130 | 2.62 | 2.69 | 0.30 | 0.11 | 2.06 | 4.00 | g/cm3 |
Core recovery* | 819 | 96.0 | 87.6 | 18.7 | 0.21 | 0.0 | 126.7 | % |
RQD* | 819 | 21.8 | 31.2 | 33.5 | 1.07 | 0.0 | 100.0 | % |
Outside Gold Domains |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 44,312 | 5.0 | 5.8 | | | 0.3 | 187.0 | ft |
TYPE | 44,309 | | | | | 1 | 9 | |
Au | 42,963 | 0.0002 | 0.0006 | 0.0024 | 4.24 | 0.0 | 0.2728 | oz Au/ton |
Capped Au | 42,963 | 0.0002 | 0.0005 | 0.0015 | 2.81 | 0.0 | 0.0263 | oz Au/ton |
AuCN | 907 | 0.0029 | 0.0051 | 0.0108 | 2.11 | 0.0004 | 0.1916 | oz Au/ton |
AuCN/AuFA ratio | 900 | 81.0 | 86.7 | 54.2 | 0.60 | 1.0 | 253.0 | % |
Density | 253 | 2.55 | 2.53 | 0.18 | 0.07 | 1.75 | 2.88 | g/cm3 |
Core recovery* | 1,976 | 100.0 | 93.3 | 12.9 | 0.14 | 0.0 | 166.6 | % |
RQD* | 1,976 | 21.0 | 33.8 | 35.9 | 1.06 | 0.0 | 204.5 | % |
*Core recovery and RQD data have not been audited and contain values exceeding the maximum of 100%. |
On the original CPP plot in g Au/t, a prominent domain was evident beginning around 0.02 g Au/t, the low-grade domain was modeled excluding many 0.02 and 0.05 g Au/t (0.0006 to 0.0012 oz Au/ton) samples, particularly beneath the deposit where the boundary of the mineralization is not defined by abrupt grade changes. It is difficult to determine if the deep halo of low-grade mineralization is real, due to drilling conditions (i.e., down-hole contamination) or both, because the grades are so low. This material deliberately left outside the modeled domains was classified as Inferred and was estimated with strong restrictions placed on the rare high-grade sample assays. The gold grades are mostly low and sub-economic under current economic conditions.
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The high-grade domain greater than ~0.009 oz Au/ton lies almost exclusively within the multi-lithic breccia. It shows excellent visual continuity between drill holes, although the continuity of the higher grades within this domain is more variable. Based on variography studies (Section14.3.3.2), that continuity ranges from 150 ft to 200 ft. The highest grades within the high-grade domain are not sufficiently continuous to be explicitly modeled, so such grades were estimated with the rest of this domain. Because the domain including the relatively higher grades has a low coefficient of variation (Table 14-3), and the higher grades are not extreme, there is little risk in not explicitly modeling as a separate higher-grade domain. There is high confidence in this zone based on its geologic support and on analytical distributions lying within it. A typical cross section is given in Figure 14-12.
There are some zones of mineralization that seem to follow high-angle structures. The modeled fault surfaces were used to guide definition of high-angle mineralized domains. Because these are poorly defined and poorly understood, these high-angle volumes were classified as Inferred.
A number of holes have significant, often isolated intersections below the multi-lithic breccia contact and within the Devils Gate Formation. The lack of continuity of this mineralization, coupled with the lack of drill density in the Devils Gate requires that this mineralization in almost all cases be projected short distances and has been classified as Inferred.
After sectional interpretations were completed, the gold domains were snapped to drill holes and sliced on north-south- oriented long sections. The long sections are spaced at 30 ft, are located at each midblock in the block model, and are perpendicular to the 98.5 ft spaced cross sections. Because there were slight differences in section and level plan locations due to the conversion to Imperial units, modifications to gold domains were required in addition to those resulting from new drilling.
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Figure 14-12: Pinion Gold Domains and Geology – Section N14695611
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14.3.3.2 | Gold Sample and Composite Statistics |
After the gold domains were defined and modeled on 98.5 ft spaced cross sections, the domains were used to assign gold-domain codes to drill-hole samples. Quantile plots were made of the coded assays. Capping for each domain was determined by first assessing the grade above which the outliers occur. Then the outlier grades were reviewed on screen to determine materiality, grade, and proximity of the closest samples and general location. Descriptive statistics were generated and considered with respect to capping levels. Capping values were determined for each of the gold domains separately. Capping levels and number of samples capped are presented in Table 14-20.
Table 14-20: Pinion Gold Capping Levels for Gold by Domain
Domain | Number* | oz Au/ton |
Low grade | 11 | 0.0379 |
High grade | none | N/A |
Outside | 80 | 0.0263 |
* Excludes No Use samples (USEG = 1) |
Once the capping was completed, the assays were down-hole composited to 10 ft intervals honoring domain boundaries. The composite length was chosen to avoid de-compositing small fractions of the original drilled sample intervals, which was predominantly 5 ft. Descriptive statistics of the composite database are given in Table 14-21.
Table 14-21: Pinion Deposit Descriptive Gold Assay Composite Statistics by Domain
Low-grade Gold Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 4,069 | 10.00 | 8.88 | | | 0.0 | 10.0 | ft |
Au | 4,032 | 0.0025 | 0.0030 | 0.0028 | 0.90 | 0.0 | 0.0830 | oz Au/ton |
Capped Au | 4,032 | 0.0025 | 0.0030 | 0.0024 | 0.79 | 0.0 | 0.0379 | oz Ag/ton |
AuCN | 1,160 | 0.0033 | 0.0037 | 0.0029 | 0.78 | 0.0004 | 0.0414 | oz Au/ton |
AuCN/AuFA ratio | 1,160 | 79.0 | 76.1 | 24.5 | 0.30 | 5.0 | 253.0 | % |
High-grade Gold Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 6,229 | 10.00 | 9.37 | | | 0.0 | 10.0 | ft |
Au | 6,175 | 0.0160 | 0.0228 | 0.0234 | 1.02 | 0.0003 | 0.3210 | oz Au/ton |
Capped Au | 6,175 | 0.0160 | 0.0228 | 0.0234 | 1.02 | 0.0003 | 0.3210 | oz Ag/ton |
AuCN | 2,582 | 0.0115 | 0.0179 | 0.0207 | 1.15 | 0.0004 | 0.2320 | oz Au/ton |
AuCN/AuFA ratio | 2,582 | 82.0 | 77.5 | 20.0 | 0.30 | 1.0 | 198.0 | % |
Outside Gold Domains |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 31,994 | 10.00 | 9.41 | | | 0.0 | 10.0 | ft |
Au | 30,806 | 0.0003 | 0.0006 | 0.0021 | 3.84 | 0.0 | 0.1505 | oz Au/ton |
Capped Au | 30,806 | 0.0003 | 0.0005 | 0.0014 | 2.63 | 0.0 | 0.0263 | oz Ag/ton |
AuCN | 686 | 0.0034 | 0.0054 | 0.0094 | 1.74 | 0.0 | 0.1475 | oz Au/ton |
AuCN/AuFA ratio | 684 | 82.0 | 86.6 | 50.7 | 0.60 | 1.0 | 253.0 | % |
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Correlograms were built from the composited gold grades in order to evaluate grade continuity. Correlogram parameters were used in the kriged estimate, which was used as a check on the reported inverse distance estimate, and also to give guidance to the classification of mineral resources. The correlogram results by area and domain are summarized as follows:
Low-grade gold domain – The nugget is 40% of the total sill. The first sill is 85% of the total sill with a range of 23 to 49 ft depending on direction. The remaining sill (15%) has a range of around 82 to 131 ft depending on direction.
High-grade gold domain – The nugget is 55% of the total sill. The first sill is 90% of the total sill with a range of 53 to 66 ft depending on direction. The remaining sill (10%) has a range of around 148 to 197 ft depending on direction.
The block model is not rotated, and the blocks are 30 ft north-south by 30 ft vertical by 30 ft east-west.
Four estimates were completed: a polygonal, nearest neighbor, inverse distance, and kriged, with the inverse-distance estimate being reported. The nearest neighbor, inverse distance and kriged estimates were run several times in order to determine sensitivity to estimation parameters, and to evaluate and optimize results. The inverse distance power was three (“ID3”) and four (“ID4”) for the low- and high-grade domain estimates, respectively. The model was divided into 11 estimation areas (“ESTAR”) to control search anisotropy, orientation and distances according to the differing geometries of mineralization in each area during estimation. Table 14-22 lists these areas along with the search orientations and the maximum search per area by low-grade and high-grade domains. Figure 14-13 presents the spatial relationship of those estimation areas to the drilling and the gold domains.
Table 14-22: Pinion Estimation Areas
Area | Azimuth (degrees) | Dip (degrees) | Rotation (degrees) | LG-Max Search (ft) | HG-Max Search (ft) |
1 | 320 | 0 | 35 | 1,150 | 1,150 |
2 | 320 | 0 | 35 | 980 | 980 |
3 | 0 | 0 | 0 | 650 | 650 |
4 | 0 | 0 | -20 | 980 | 980 |
5 | 30 | 0 | -35 | 820 | 820 |
6 | 320 | 8 | 0 | 500 | 330 |
7 | 330 | 5 | -20 | 650 | 500 |
8 | 295 | 0 | -40 | 330 | 330 |
9 | 0 | 0 | 10 | 650 | 500 |
10 | 340 | 0 | -25 | 650 | 330 |
11 | 15 | 0 | -60 | 650 | 500 |
Notes: maximum distance is 196.85 ft for Indicated |
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Figure 14-13: Pinion Estimation Areas
One estimation pass was run for each domain ranging up to 1,150 ft along the primary axis with a 4:1 anisotropy (major axis versus minor axis). All estimates and estimation runs weighted the samples by the sample lengths. Estimation parameters are given in Table 14-23.
Table 14-23: Pinion Gold Estimation Parameters
(for all rotations/dip/tilt values, see Table 14-22)
Domain | Parameter |
Low-grade Gold Domain |
Samples: minimum/maximum/maximum per hole | 1 / 12 / 3 |
Search anisotropies: major/semimajor/minor (vertical) | 1 / 0.5 / 0.25* |
Inverse distance power | 3 |
High-grade restrictions (grade in oz Au/ton/distance in ft) | 0.00875 / 0.5 x max search |
High-grade Gold Domain |
Samples: minimum/maximum/maximum per hole | 1 / 12 / 3 |
Search (m): major/semimajor/minor (vertical) | 1 / 0.5 / 0.25* |
Inverse distance power | 4 |
High-grade restrictions (grade in oz Au/ton/distance in ft) | 0.175 / 0.66 x max search |
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Outside Modeled Gold Domains |
Samples: minimum/maximum/maximum per hole | 2 / 12 / 3 |
Search (m): major/semimajor/minor (vertical) | 1 / 0.5 / 0.25 |
Inverse distance power | 2 |
High-grade restrictions (grade in oz Au/ton/distance in ft) | 0.00292 / 30 |
* - Vertical search distance = 0.20 * max search distance for ESTAR 2 and 11 |
14.3.4 | Pinion Silver Modeling and Estimation |
14.3.4.1 | Silver Domain Model |
Silver domains based on sample assays were modeled on cross sections spaced 98.5 ft apart, oriented east-west and looking north. The geologic model and gold domains guided the explicit modeling of the silver domains. Domains were defined based on population breaks on cumulative probability plots (Figure 14-11). The following grade ranges were identified and used for silver domains:
| ● | Low-grade silver domain: ~0.0012 oz Ag/ton to ~0.0583 oz Ag/ton, and |
| ● | High-grade silver domain >~0.0583 oz Ag/ton. |
Descriptive statistics are presented in Table 14-24. Core photos, where available, were reviewed, and were helpful in interpretations.
Figure 14-14: Cumulative Probability Plot of Pinion Deposit Silver Assays
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Table 14-24: Pinion Deposit Descriptive Silver Statistics by Domain
(accepted sample data only)
Low-grade Silver Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 6,479 | 5.0 | 5.0 | | | 0.6 | 20.0 | ft |
TYPE | 6,479 | | | | | 1 | 9 | |
Ag | 4,465 | 0.0288 | 0.0335 | 0.0389 | 1.16 | 0.0 | 0.6420 | oz Ag/ton |
Capped Ag | 4,465 | 0.0290 | 0.0328 | 0.0318 | 0.97 | 0.0 | 0.2920 | oz Ag/ton |
AgCN | 1,178 | 0.0100 | 0.0142 | 0.0139 | 0.98 | 0.0000 | 0.2080 | oz Ag/ton |
AgCN/AuFA ratio | 1,178 | 39.0 | 42.8 | 25.2 | 0.60 | 0.0 | 253.0 | % |
Density | 66 | 2.59 | 2.60 | 0.25 | 0.10 | 1.88 | 3.53 | g/cm3 |
Core recovery* | 459 | 95.0 | 86.8 | 18.2 | 0.21 | 0.0 | 126.7 | % |
RQD* | 459 | 28.0 | 34.4 | 31.9 | 0.93 | 0.0 | 125.0 | % |
High-grade Silver Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 7,864 | 5.0 | 4.9 | | | 0.5 | 15.0 | ft |
TYPE | 7,864 | | | | | 1 | 9 | |
Ag | 5,484 | 0.1248 | 0.2253 | 0.7000 | 3.11 | 0.0 | 44.6540 | oz Ag/ton |
Capped Ag | 5,484 | 0.1250 | 0.2080 | 0.2504 | 1.20 | 0.0 | 1.7500 | oz Ag/ton |
AgCN | 1,121 | 0.0660 | 0.1113 | 0.1843 | 1.66 | 0.0010 | 4.2220 | oz Ag/ton |
AgCN/AuFA ratio | 1,121 | 50.0 | 47.7 | 14.9 | 0.30 | 2.0 | 129.0 | % |
Density | 101 | 2.63 | 2.69 | 0.29 | 0.11 | 2.06 | 4.00 | g/cm3 |
Core recovery* | 620 | 94.6 | 86.0 | 19.7 | 0.23 | 0.0 | 117.1 | % |
RQD* | 620 | 2.6 | 25.8 | 32.8 | 1.27 | 0.0 | 100.0 | % |
Outside Silver Domains |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 47,084 | 5.0 | 5.7 | | | 0.3 | 187.0 | ft |
TYPE | 47,081 | | | | | 1 | 9 | |
Ag | 37,166 | 0.0069 | 0.0109 | 0.0347 | 3.18 | 0.0 | 2.6220 | oz Ag/ton |
Capped Ag | 37,166 | 0.0070 | 0.0094 | 0.0150 | 1.59 | 0.0 | 0.1170 | oz Ag/ton |
AgCN | 966 | 0.0040 | 0.0135 | 0.0558 | 4.15 | 0.0000 | 1.3360 | oz Ag/ton |
AgCN/AuFA ratio | 966 | 31.0 | 36.0 | 28.5 | 0.80 | 0.0 | 253.0 | % |
Density | 276 | 2.55 | 2.53 | 0.18 | 0.07 | 1.75 | 2.88 | g/cm3 |
Core recovery* | 2,156 | 100.0 | 93.4 | 13.2 | 0.14 | 0.0 | 166.6 | % |
RQD* | 2,156 | 32.0 | 36.1 | 35.8 | 0.99 | 0.0 | 204.5 | % |
*Core recovery and RQD data have not been audited and contain values exceeding the maximum of 100%. |
Prior to 2019, silver assays for the Gold Standard drilling were obtained from 20ft to 30 ft composites of 5 ft pulps. For the 2019 PFS update (Ibrado et al., 2020), Gold Standard re-assayed pulps from original, un-composited intervals for all samples within the modeled deposit area. The horizontal shift in Figure 14-14 at 0.0073 oz Ag/ton represents an abundance (~19,000) of values at one-quarter of the 0.029 oz Ag/ton (1.0 g Ag/t) detection limit of the re-assayed samples. Original silver assays were performed using different analytical procedures at various detection limits of 0.015 oz Ag/ton (0.5 g Ag/t) or less.
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Silver grades are generally similar in morphology and location to the gold and multi-lithic breccia. However, the silver domains are wider or narrower, or are less extensive in some areas, than the gold domains. Some low-grade to anomalous silver mineralization exists in the Devils Gate Limestone but is not modeled except in one area. Elsewhere, the drill-hole spacing is too wide to define silver domain continuity beneath the multi-lithic breccia.
There were slight differences in section and level plan locations due to the conversion to Imperial units. Modifications to silver domains were required in addition to those resulting from new drilling.
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Figure 14-15: Pinion Silver Domains and Geology – Section N14695611
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14.3.4.2 | Silver Sample and Composite Statistics |
After the silver mineral domains were defined and modeled on 98.5 ft spaced cross sections, the domains were used to assign silver-domain codes to drill-hole samples. Cumulative probability plots were made of the coded assays. Capping for each domain was determined by first assessing the grade above which the outliers occur, then the outlier grades were reviewed on screen to determine materiality, grade and proximity of the closest samples, and general location. Descriptive statistics were generated and considered with respect to capping levels, which were determined for each of the silver domains separately. Capping levels and number of samples capped are presented in Table 14-25.
Table 14-25: Pinion Capping Levels for Silver by Domain
Domain | Number Capped* | oz Ag/ton |
Low grade | 19 | 0.292 |
High grade | 81 | 1.75 |
Outside | 302 | 0.117 |
Excludes No Use samples (USES = 1) |
When the capping was completed, the silver assays were down-hole composited to 10 ft intervals honoring domain boundaries. The composite length was chosen to avoid de-compositing small fractions of the original drilled sample intervals, which was predominantly 5 ft. Descriptive statistics of the composite database are given in Table 14-26.
Table 14-26: Pinion Deposit Descriptive Silver Assay Composite Statistics by Domain
Low-grade Silver Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 32,871 | 10.00 | 7.67 | | | 0.0 | 10.0 | ft |
Ag | 25,785 | 0.0071 | 0.0108 | 0.0255 | 2.37 | 0.0 | 2.7200 | oz Ag/ton |
Capped Ag | 25,785 | 0.0070 | 0.0103 | 0.0110 | 1.07 | 0.0 | 0.1170 | oz Ag/ton |
AgCN | 574 | 0.0050 | 0.0140 | 0.0420 | 3.00 | 0.0000 | 0.7070 | oz Ag/ton |
AgCN/AuFA ratio | 574 | 34.0 | 36.7 | 25.3 | 0.70 | 0.0 | 136.0 | % |
High-grade Silver Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 3,890 | 10.00 | 6.38 | | | 0.0 | 10.0 | ft |
Ag | 2,804 | 0.0280 | 0.0319 | 0.0281 | 0.88 | 0.0010 | 0.5250 | oz Ag/ton |
Capped Ag | 2,804 | 0.0280 | 0.0314 | 0.0229 | 0.73 | 0.0010 | 0.2920 | oz Ag/ton |
AgCN | 658 | 0.0120 | 0.0147 | 0.0137 | 0.93 | 0.0000 | 0.1870 | oz Ag/ton |
AgCN/AuFA ratio | 658 | 41.0 | 43.5 | 23.1 | 0.50 | 0.0 | 253.0 | % |
Outside Silver Domains |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 4,692 | 10.00 | 6.98 | | | 0.0 | 10.0 | ft |
Ag | 3,496 | 0.1461 | 0.2480 | 0.5412 | 2.18 | 0.0 | 22.5300 | oz Ag/ton |
Capped Ag | 3,496 | 0.1460 | 0.2247 | 0.2299 | 1.02 | 0.0 | 1.7500 | oz Ag/ton |
AgCN | 578 | 0.0720 | 0.1111 | 0.1455 | 1.31 | 0.0 | 2.2520 | oz Ag/ton |
AgCN/AuFA ratio | 578 | 49.0 | 47.8 | 13.6 | 0.30 | 2.0 | 93.0 | % |
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Correlograms were built from the composited silver grades to evaluate grade continuity, to use in the kriged estimate, and to provide a check on the reported inverse distance estimate, and also to give guidance to the classification of mineral resources. The correlogram results were similar to those for gold, so the same parameters were used and are summarized as follows:
| ● | Low-grade silver domain – The nugget is 40% of the total sill. The first sill is 85% of the total sill with a range of 23 to 49 ft depending on direction. The remaining sill (15%) has a range of around 82 to 131 ft depending on direction. |
| ● | High-grade silver domain – The nugget is 55% of the total sill. The first sill is 90% of the total sill with a range of 53 to 66 ft depending on direction. The remaining sill (10%) has a range of around 148 to 197 ft depending on direction. |
14.3.4.3 | Silver Estimation |
Four estimates were completed for silver as was done for gold: a polygonal, nearest neighbor, inverse distance, and kriged, with the inverse-distance estimate being reported. The nearest neighbor, inverse distance and kriged estimates were run several times in order to determine sensitivity to estimation parameters, and to evaluate and optimize results. ID3 and ID4 was applied to the low and high-grade domain estimates, respectively. The same 11 estimation areas used for gold to control search anisotropy, orientation and distances during estimation were used for silver (Table 14-22). One estimation pass was run for each domain ranging up to 980 ft along the primary axis with a 4:1 anisotropy (major axis versus minor axis). Composite assay values were weighted by interval lengths for all silver estimation runs. Estimation parameters are given in Table 14-27.
Table 14-27: Pinion Silver Estimation Parameters
(for all rotations/dip/tilt values, see Table 14-22)
Domain | Parameter |
Low-grade Silver Domain |
Samples: minimum/maximum/maximum per hole | 1 / 9 / 3 |
Search anisotropies: major/semimajor/minor (vertical) | 1 / 0.5 / 0.25 |
Inverse distance power | 3 |
High-grade restrictions (grade in g Ag/t) | 0.0875 / 0.33 x max search |
High-grade Silver Domain |
Samples: minimum/maximum/maximum per hole | 1 / 9 / 3 |
Search (m): major/semimajor/minor (vertical) | 1 / 0.5 / 0.25 |
Inverse distance power | 4 |
High-grade restrictions (grade in g Ag/t) | None |
Outside Modeled Silver Domains |
Samples: minimum/maximum/maximum per hole | 2 / 12 / 3 |
Search (m): major/semimajor/minor (vertical) | 1 / 0.5 / 0.25 |
Inverse distance power | 2 |
High-grade restrictions (grade in g Ag/t and distance in m) | 0.0233 / 30 |
14.3.5 | Pinion Gold and Silver Resources |
Mr. Lindholm classified the Pinion mineral resources considering the confidence in the underlying database, sample integrity, analytical precision/reliability, QA/QC results, and confidence in geologic interpretations. The gold classification was applied to the reported gold and silver mineral resources. The classification parameters for gold are given in Table 14-28. Although the author of this section is not an expert with respect to environmental, permitting, legal, title, taxation, socio-economic, marketing or political matters, the author is not aware of any unusual factors relating to these matters that may materially affect the Pinion mineral resources as of the effective date of this Technical Report.
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Table 14-28: Pinion Classification Parameters
Measured | | |
Inside modeled domains | Yes | Yes | |
Minimum number of holes | 3 | N/A | |
Minimum number of composites | 3 | 3 | |
Average anisotropic distance (ft) | ≤100 | N/A | |
Closest anisotropic distance (ft) | N/A | ≤35 | |
Gold Standard drill hole influence | ≥90% | ≥90% | |
Indicated | or | or |
Inside modeled domains | Yes | Yes | Yes |
Minimum number of holes | 3 | 2 | 1 |
Minimum number of composites | 7 | 4 | 2 |
Closest isotropic distance (ft) | ≤165 | ≤65 | ≤35 |
Inferred | or | |
Inside modeled domains | Yes | No* | |
Minimum number of composites | N/A | 1 | |
Closest isotropic distance (ft) | N/A | ≤65 | |
Measured and Indicated Reduced to Inferred if: | or | |
Closest anisotropic distance (ft) | ≥100 | north area; high- angle areas | |
Gold Standard drill hole influence | ≤1% | N/A | |
*extreme pullbacks are applied on higher grades outside domains |
As described in the table, the amount of influence that historical data has on a block affects the classification. For a block to be classified as Measured mineral resources, more than 90% of the sample influence must be derived from Gold Standard data. On the other hand, no block with the closest sample beyond 100 ft and entirely based on historical data may be classified as Measured or Indicated mineral resources. Under most circumstances the confidence of a block would be lower if it were based entirely on historical data. However, the drilling is very dense in areas dominated by historical drill holes, the suspect holes and samples have been culled, and multiple drill campaigns are mutually supportive. There are also areas where the geology and domains are more speculative, e.g., the northern area where the deposit is less well-delineated, and steep zones below the multi-lithic breccia. The classification in these areas, which were defined in the block model using 3D solids, is reduced to inferred.
The results of the QA/QC evaluation revealed a project risk that warrants additional comment. There is no QA/QC information for the historical drilling, and some of those data do not have supporting documentation. Consequently, the veracity of historical data relies on corroboration from nearby Gold Standard drilling, mutual support between drilling campaigns conducted by ten historic exploration companies, and to a lesser degree, that most of the previous operators were reputable. As noted above, the lower confidence in historical drilling is taken into account in mineral resource classification.
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Since the May 2019 effective date of the database for Pinion used in the 2020 PFS of Ibrado et al. (2020), 46 and 82 additional holes were drilled or added to the database in 2019 and 2020, respectively. Data for these holes were received with finalized assays from Gold Standard by the effective date of the current database of June 2, 2021, and have been incorporated into the current resource model. Gold, silver and barium domains were updated with the newer information. Of the 128 added assay sets, 34 holes were new and historical drill holes at the LT and Ski Track exploration targets outside the modeled area. One sonic hole was also drilled outside the resource area. Another 18 were core holes drilled predominantly for metallurgical test work material; only three of these had assays and were essentially twins of older RC holes that caused few changes to domains. The remaining 75 were infill and step-out holes drilled to delineate areas of known mineralization extending to the south. In summary, all relevant new drilling moderately to strongly supported the 2019 resource block model. Metallurgical core holes correlated with RC twins extremely well. Infill holes confirmed the previous block model in areas of relatively close-spaced drilling, and caused incremental changes to the domains that impacted in-pit mineral resources only locally. Step-out and infill holes where drilling was wide-spaced prompted more significant changes, such as a consistent deepening of domains by up to 100 ft. Horizontal continuity, however, was generally confirmed, and the overall grade relative to surrounding holes appeared to increase.
Overall, the new holes added to the veracity of the 2019 gold domain model, and the lack of significant changes to the 2019 resource estimate where drilling was already dense adds to the level of confidence in the block model. Classification of material was elevated to Indicated and Measured with the delineation drilling to the south. The addition of more reliable Gold Standard holes in these areas where historical drilling was predominant also helped increase classification levels.
Another 31 holes have been drilled since the effective date of the current Pinion database. MDA loaded these holes into the MineSight database, and Mr. Lindholm evaluated the potential changes these holes would cause to the gold, silver and barium domains. Eight holes were drilled at the LT target, and one was a geotechnical core hole drilled outside the modeled domains. Another three historical monitor wells were added to the database, and a new water well was drilled, all with no assays. Of the remaining 18 holes drilled in the Pinion modeled area, four have no assays and six are infill or twin holes that would cause only localized, incremental changes to domains. Three were infill holes in areas with earlier wide-spaced drilling that generally confirm current modeling, but would locally widen, narrow, and/or change the vertical location of domains. Lastly, there are five step-out holes to the south and southeast well outside or below the current optimized pit limits. These could extend, widen and/or increase the grade of current resources, but would be unlikely to cause the pit dimensions to increase without further delineation drilling.
For reporting, the technical and economic factors likely to influence the requirement “reasonable prospects for eventual economic extraction” were evaluated using the best judgement of the author responsible for this section of the report. For evaluating the open-pit potential, MDA modeled a series of optimized pits using variable gold prices. MDA used costs appropriate for open-pit mining in Nevada, estimated processing costs and metallurgical recoveries related to heap leaching, and G&A costs. The cutoff grades are based on a gold price of $1,750/oz.
The reported Pinion mineral resource estimate is the fully block diluted ID3 and ID4 estimate. The blocks are 30 ft3. The mineral resources are reported at a cutoff of 0.005 oz Au/ton for open-pit mining. No sulfide mineralization is reported at Pinion. Table 14-29 to Table 14-32 present the estimated Measured, Indicated, and Inferred gold and silver mineral resources at Pinion within the optimized $1,750/oz Au pits. The breakdown of mineral resources by oxidation state is given in Appendix C. Representative cross sections of the gold and silver block models are shown in Figure 14-16 and Figure 14-17, respectively. Mineral resources that are not mineral reserves do not have demonstrated economic viability.
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Table 14-29: Pinion Measured Gold and Silver Resources*
Cutoff | | | | | |
oz Au/ton | Tons | oz Au/ton | oz Au | oz Ag/ton | oz Ag |
0.001 | 2,950,000 | 0.019 | 56,000 | 0.17 | 504,000 |
0.002 | 2,812,000 | 0.020 | 55,000 | 0.18 | 501,000 |
0.003 | 2,722,000 | 0.020 | 55,000 | 0.18 | 499,000 |
0.004 | 2,650,000 | 0.021 | 55,000 | 0.19 | 493,000 |
0.005 | 2,575,000 | 0.021 | 55,000 | 0.19 | 488,000 |
0.006 | 2,445,000 | 0.022 | 54,000 | 0.19 | 475,000 |
0.007 | 2,320,000 | 0.023 | 53,000 | 0.20 | 462,000 |
0.008 | 2,172,000 | 0.024 | 52,000 | 0.20 | 440,000 |
0.009 | 2,023,000 | 0.025 | 51,000 | 0.21 | 418,000 |
0.010 | 1,911,000 | 0.026 | 49,000 | 0.21 | 404,000 |
0.015 | 1,361,000 | 0.032 | 43,000 | 0.23 | 319,000 |
0.020 | 946,000 | 0.038 | 36,000 | 0.25 | 237,000 |
0.025 | 654,000 | 0.044 | 29,000 | 0.26 | 170,000 |
0.030 | 501,000 | 0.050 | 25,000 | 0.27 | 133,000 |
0.035 | 360,000 | 0.058 | 21,000 | 0.27 | 98,000 |
0.040 | 261,000 | 0.061 | 16,000 | 0.29 | 76,000 |
0.045 | 203,000 | 0.069 | 14,000 | 0.28 | 56,000 |
0.050 | 167,000 | 0.072 | 12,000 | 0.29 | 48,000 |
*mineral resources are inclusive of mineral reserves. |
Table 14-30: Pinion Indicated Gold and Silver Resources*
Cutoff | | | | | |
oz Au/ton | Tons | oz Au/ton | oz Au | oz Ag/ton | oz Ag |
0.001 | 60,930,000 | 0.014 | 859,000 | 0.12 | 7,084,000 |
0.002 | 55,659,000 | 0.015 | 853,000 | 0.13 | 7,012,000 |
0.003 | 51,680,000 | 0.016 | 840,000 | 0.13 | 6,907,000 |
0.004 | 48,271,000 | 0.017 | 828,000 | 0.14 | 6,764,000 |
0.005 | 45,408,000 | 0.018 | 816,000 | 0.15 | 6,617,000 |
0.006 | 42,777,000 | 0.019 | 803,000 | 0.15 | 6,455,000 |
0.007 | 40,233,000 | 0.019 | 784,000 | 0.16 | 6,282,000 |
0.008 | 37,577,000 | 0.020 | 767,000 | 0.16 | 6,058,000 |
0.009 | 34,932,000 | 0.021 | 745,000 | 0.17 | 5,797,000 |
0.010 | 32,400,000 | 0.022 | 720,000 | 0.17 | 5,548,000 |
0.015 | 21,756,000 | 0.027 | 588,000 | 0.19 | 4,201,000 |
0.020 | 13,841,000 | 0.033 | 451,000 | 0.21 | 2,913,000 |
0.025 | 8,640,000 | 0.039 | 335,000 | 0.23 | 1,955,000 |
0.030 | 5,584,000 | 0.045 | 252,000 | 0.24 | 1,345,000 |
0.035 | 3,748,000 | 0.051 | 193,000 | 0.25 | 928,000 |
0.040 | 2,480,000 | 0.059 | 146,000 | 0.25 | 626,000 |
0.045 | 1,768,000 | 0.065 | 115,000 | 0.26 | 456,000 |
0.050 | 1,329,000 | 0.071 | 95,000 | 0.26 | 339,000 |
*mineral resources are inclusive of mineral reserves. |
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Table 14-31 Pinion Measured and Indicated Gold and Silver Resources*
Cutoff | | | | | |
oz Au/ton | Tons | oz Au/ton | oz Au | oz Ag/ton | oz Ag |
0.001 | 63,880,000 | 0.014 | 915,000 | 0.12 | 7,588,000 |
0.002 | 58,471,000 | 0.016 | 908,000 | 0.13 | 7,513,000 |
0.003 | 54,402,000 | 0.016 | 895,000 | 0.14 | 7,406,000 |
0.004 | 50,921,000 | 0.017 | 883,000 | 0.14 | 7,257,000 |
0.005 | 47,983,000 | 0.018 | 871,000 | 0.15 | 7,105,000 |
0.006 | 45,222,000 | 0.019 | 857,000 | 0.15 | 6,930,000 |
0.007 | 42,553,000 | 0.020 | 837,000 | 0.16 | 6,744,000 |
0.008 | 39,749,000 | 0.021 | 819,000 | 0.16 | 6,498,000 |
0.009 | 36,955,000 | 0.022 | 796,000 | 0.17 | 6,215,000 |
0.010 | 34,311,000 | 0.022 | 769,000 | 0.17 | 5,952,000 |
0.015 | 23,117,000 | 0.027 | 631,000 | 0.20 | 4,520,000 |
0.020 | 14,787,000 | 0.033 | 487,000 | 0.21 | 3,150,000 |
0.025 | 9,294,000 | 0.039 | 364,000 | 0.23 | 2,125,000 |
0.030 | 6,085,000 | 0.046 | 277,000 | 0.24 | 1,478,000 |
0.035 | 4,108,000 | 0.052 | 214,000 | 0.25 | 1,026,000 |
0.040 | 2,741,000 | 0.059 | 162,000 | 0.26 | 702,000 |
0.045 | 1,971,000 | 0.065 | 129,000 | 0.26 | 512,000 |
0.050 | 1,496,000 | 0.072 | 107,000 | 0.26 | 387,000 |
*mineral resources are inclusive of mineral reserves. |
Table 14-32 Pinion Inferred Gold and Silver Resources
Cutoff | | | | | |
oz Au/ton | Tons | oz Au/ton | oz Au | oz Ag/ton | oz Ag |
0.001 | 3,865,000 | 0.005 | 20,000 | 0.03 | 125,000 |
0.002 | 2,158,000 | 0.008 | 18,000 | 0.05 | 113,000 |
0.003 | 1,782,000 | 0.010 | 17,000 | 0.06 | 107,000 |
0.004 | 1,491,000 | 0.011 | 16,000 | 0.07 | 99,000 |
0.005 | 1,299,000 | 0.012 | 15,000 | 0.07 | 92,000 |
0.006 | 1,142,000 | 0.012 | 14,000 | 0.07 | 83,000 |
0.007 | 984,000 | 0.014 | 14,000 | 0.08 | 76,000 |
0.008 | 877,000 | 0.015 | 13,000 | 0.08 | 71,000 |
0.009 | 738,000 | 0.015 | 11,000 | 0.09 | 63,000 |
0.010 | 661,000 | 0.015 | 10,000 | 0.09 | 58,000 |
0.015 | 321,000 | 0.022 | 7,000 | 0.10 | 33,000 |
0.020 | 120,000 | 0.025 | 3,000 | 0.13 | 15,000 |
0.025 | 49,000 | 0.041 | 2,000 | 0.08 | 4,000 |
0.030 | 26,000 | 0.038 | 1,000 | 0.08 | 2,000 |
0.035 | 13,000 | 0.077 | 1,000 | 0.08 | 1,000 |
0.040 | 2,000 | 0.000 | - | 0.00 | - |
0.000 | - | - | - | 0.00 | - |
0.000 | - | - | - | 0.00 | - |
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Figure 14-16: Pinion Gold Domains and Block Model– Section N14695611
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Figure 14-17: Pinion Silver Domains and Block Model– Section N14695611
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14.3.6 | Pinion Geo-Metallurgical Model |
Four additional models, collectively called the Pinion geo-metallurgy model, were produced based on guidelines given from metallurgical test work and interpretations presented in Section 13: barium concentration (estimated within modeled domains), cyanide-soluble gold grade (estimated by rock units), refractory material (modeled 3D solids), and organic carbon grade (estimated by rock units).
14.3.6.1 | Pinion Barium Domains and Estimation |
The occurrence of barite and silicification seems to have significant impacts on gold recoveries. Consequently, a barium concentration (in lieu of barite) model was necessary for assigning gold recoveries to the deposit. The estimation of a silicification block model was also considered, but the available qualitative and logged geologic data was determined to be insufficient. There was no correlation demonstrated in a comparison of SiO2 assays from metallurgical composites and the relatively larger XRF data set.
Metallurgical testing of drill samples included the ED-XRF-E5 method of analysis for barium; there are 938 analyses of this type that were performed at AAL on pressed powder pulp material. In addition, 21,747 NITON XRF analyses of barium were taken by independent contractor Rangefront Geological on loose powder pulp material. Following the PFS update (Ibrado, et al, 2020), Gold Standard obtained 14,069 new XRF assays in-house using NITON and Olympus units, and through AAL and Paragon Laboratories. A significant low bias was noted in the NITON XRF compared to the ED-XRF-E5 analyses (Section 12.6.6) but since there are substantially more NITON XRF values, the larger data set was chosen for modeling and estimation. MDA developed a regression equation to factor the 938 ED-XRF-E5 measurements to NITON XRF equivalents and merge them with the 21,747 NITON XRF barium analyses as follows:
NITON XRFeq = 0.5682 x ED-XRF-E5
The R² for this equation is 0.96 but there are only 32 samples from which the relationship was built. After estimation into the geo-metallurgical block model, the estimated NITON XRF barium grades were refactored to ED-XRF-E5 equivalents to be comparable to the metallurgical data, using the following equation:
ED-XRF-E5eq = 1.760 x NITON XRF
There were a total of 36,754 samples analyzed for barium by either NITON XRF, ED-XRF-E5, or by both methods, which compares to 59,751 accepted gold samples. All NITON XRF barium analyses were plotted in a cumulative probability plot (Figure 14-18) and were used to define domains. No values factored from ED-XRF-E5 analyses are included on the plot. The resulting high-grade (>~6% Ba) and low-grade (~0.4 to ~6% Ba) barium domains were then modeled on 98.5 ft spaced east-west sections, as was done for gold and silver. The geologic model was the primary guide for barium domain modeling. Barium is spatially related to the multi-lithic breccia, which is generally tabular and folded into the Pinion anticline. Gold domains correlate reasonably well with the barium domains and were used as guides as well. The high-grade domain is spatially restricted to the north- to northwest-trending axis of the Pinion anticline within the mineral resource pit. Logged barite intensity data was used to augment the analytical barium data in supporting the domain interpretations. Sectional interpretations were then snapped to drill holes and sliced to north- south sections on every 30 ft mid-block in the block model.
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Figure 14-18: Cumulative Probability plot of Barium (NITON XRF) Sample Grades at Pinion
Descriptive statistics of the sample barium grades by domain are given in Table 14-33. These samples were composited to 10 ft lengths. Descriptive statistics of the composited barium grades by domain are given in Table 14-34. A representative cross section showing geology and barium domains is given in Figure 14-19. Estimation parameters are presented in Table 14-35.
Table 14-33: Pinion Samples Barium Statistics by Domain
Low-grade Barium Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 14,452 | 5.00 | 4.93 | | | 0.50 | 20.0 | ft |
Ba | 5,987 | 0.34 | 0.85 | 1.31 | 1.54 | 0.0009 | 18.0 | % |
Ba capped | 5,987 | 0.34 | 0.85 | 1.31 | 1.54 | 0.0009 | 18.0 | % |
High-grade Barium Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 932 | 5.00 | 4.85 | | | 1.00 | 10.0 | ft |
Ba | 414 | 7.82 | 8.68 | 4.72 | 0.54 | 0.1510 | 30.7 | % |
Ba capped | 414 | 7.82 | 8.68 | 4.72 | 0.54 | 0.1510 | 30.7 | % |
Outside Barium Domains |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 46,043 | 5.00 | 5.72 | 0.00 | 0.0 | 0.25 | 187.0 | ft |
Ba | 22,024 | 0.07 | 0.16 | 0.50 | 3.21 | 0.0000 | 18.1 | % |
Ba capped | 22,024 | 0.07 | 0.15 | 0.33 | 2.28 | 0.0000 | 4.0 | % |
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Table 14-34: Pinion Composites Barium Statistics by Domain
Low-grade Barium Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 4,083 | | 9.35 | | | 0.2 | 10.0 | ft |
Ba | 4,083 | 0.37 | 0.82 | 1.17 | 1.42 | 0.01 | 15.6 | % |
Capped Ba | 4,083 | 0.37 | 0.82 | 1.17 | 1.42 | 0.01 | 15.6 | % |
High-grade Barium Domain |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 280 | | 8.24 | | | 1.00 | 10.0 | ft |
Ba | 280 | 8.03 | 8.65 | 4.01 | 0.46 | 0.16 | 25.2 | % |
Capped Ba | 280 | 8.03 | 8.65 | 4.01 | 0.46 | 0.16 | 25.2 | % |
Outside Barium Domains |
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
Length | 14,186 | | 9.55 | | | 0.10 | 10.0 | ft |
Ba | 14,186 | 0.08 | 0.15 | 0.37 | 2.52 | 0.00 | 14.1 | % |
Capped Ba | 14,186 | 0.08 | 0.14 | 0.26 | 1.87 | 0.00 | 4.0 | % |
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Figure 14-19: Pinion Barium Domains and Geology – Section N14695611
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Table 14-35: Pinion Barium Estimation Parameters
(for all rotations/dip/tilt values, see Table 14-22)
Domain | Parameter |
Low-grade Barium Domain |
Samples: minimum/maximum/maximum per hole | 1 / 12 / 3 |
Search anisotropies: major/semimajor/minor (vertical) | 1 / 0.5 / 0.25* |
Inverse distance power | 3 |
High-grade restrictions (grade in %Ba/distance in ft) | 3.5 / 30 |
High-grade Barium Domain |
Samples: minimum/maximum/maximum per hole | 1 / 12 / 3 |
Search (m): major/semimajor/minor (vertical) | 1 / 0.5 / 0.25* |
Inverse distance power | 4 |
High-grade restrictions (grade in %Ba/distance in ft) | N/A |
Outside Modeled Barium Domains |
Samples: minimum/maximum/maximum per hole | 2 / 12 / 3 |
Search (m): major/semimajor/minor (vertical) | 1 / 0.5 / 0.25 |
Inverse distance power | 3 |
High-grade restrictions (grade in %Ba/distance in ft) | 0.15 / 9 |
* - Vertical search distance = 0.20 * max search distance for ESTAR 2 and 11 |
The average barium grade for the gold mineralization grading at least 0.005 oz Au/ton in potentially mineable material is ~2.25%. There are substantially fewer barium analyses than gold analyses, so the barium estimate has lower confidence than the gold estimate. If precision of barium grades is critical to the economics of the deposit, then additional samples with barium grades should be obtained.
14.3.6.2 | Pinion Cyanide-Soluble Gold Model |
A cyanide-soluble gold block model was produced using cyanide-recoverable gold shaker test results and fire assays of sample pulps (Figure 14-20). AuCN/AuFA ratios were calculated from these two types of assays. ID3 was used to estimate the AuCN/AuFA ratio grades. Only AuCN/AuFA ratios in which the fire-assay gold grades were greater than or equal to 0.0015 oz Au/ton were used in the estimation. There are relatively few cyanide-shaker tests compared to the number of gold assays, and where historical drilling is predominant, the data is limited to non-existent. There is also no quality control data associated with these analyses. As a result, the AuCN/AuFA ratio block model is lower in confidence than the gold and silver block models. Otherwise, the estimation procedures, block dimensions, and methodology were generally the same as those used for the gold and silver models, with the exception of the items noted below in this section.
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Figure 14-20: Cumulative Probability Plot of Pinion AuCN/AuFA Ratios
The AuCN/AuFA ratio block model augments the barite block model to further define metallurgical domains applicable to estimating gold recovery. Referencing criteria defined in Section 13, blocks with estimated AuCN/AuFA ratios of 65% or greater are considered to have relatively good recovery and are categorized as oxidized. Blocks with estimated AuCN/AuFA ratios of between 35 and 65% are categorized as transitional material and are considered to be moderately recoverable. Transitional and oxidized material are included in the reported mineral resources blocks, however, material with estimated AuCN/AuFA ratios of less than 35% are not sufficiently recoverable with cyanide processing to be reported.
14.3.6.3 | Refractory Solids Model |
The term “refractory” technically refers to material that contains sulfur and carbon species that render gold extraction difficult with cyanide processing. The 3D refractory solids were therefore modeled by MDA in order to provide input into metallurgical characterization and potential acid-generating properties. The refractory solids modeled at Pinion delineate unoxidized, sulfide-bearing material with carbon. Refractory zones within the solids generally correlate with material from which gold recovery is difficult as defined above using estimated barite grades and AuCN/AuFA ratios. Zones outside the solids are generally consistent with the oxide and transitional metallurgical domains defined above.
Gold Standard initially modeled solids using a combination of logged data, which represents the most abundant data set, augmented by AuCN/AuFA ratios. MDA modified these solids to include LECO sulfide-sulfur analyses. The contact of the resulting refractory solids is commonly abrupt and readily defined by the multiple data sets, which are rarely contradictory. Within the refractory solids, logged data indicates material is 30% or more refractory, AuCN/AuFA ratios are generally much lower than 50%, and sulfide-sulfur grades are mostly in the tenths of a percent or higher. By far the largest volume of refractory material is deep, below the multi-lithic breccia and outside the pit defining potentially minable mineral resources. Within the volume of the potential open-pit, refractory material is mostly coincident with the Chainman and to a lesser extent the Tripon Pass Formation, but a small amount is also in the Webb Formation in the southwest part of the pit. All refractory material within a potential pit lies above the multi-lithic breccia that hosts the gold mineralization. There is some known refractory material which is not modeled within the solids below mineralization in the Devils Gate Limestone, because of the limited drilling, but that material lies below and is immaterial to the estimated mineral resources.
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The refractory solids model and the data on which it is based support the inference that potentially lower-recovery material, or material with the potential for having acid producing qualities, are properly represented.
14.3.6.4 | Organic Carbon Model |
An organic carbon (“CORG”) block model was produced so that its potential effects on gold recovery could be investigated. Gold Standard provided LECO analyses of carbon and sulfur species for samples that varied between those on original core intervals (1 ft to 6 ft) to RC sample composites (10 ft to 35 ft). Assayed CORG values were used, or the values that were calculated from assayed inorganic carbon and total carbon. In the data received from Gold Standard, below-detection limit values were substituted for assays below detection. When CORG was directly assayed, MDA modified the below-detection assays per Stantec guidance, so that carbon species assays were equal to one-half the below-detection value. However, when CORG was calculated, no detection limit was assumed, and the resulting values were not modified unless negative values were produced (inorganic carbon calculated from CO2% > total carbon), in which case values of ’0’ were entered.
The authors evaluated CORG statistics by rock unit, refractory zone and barium zone (Table 14-36). The statistics in the tables are summarized according to categories chosen for estimation into the block model.
Table 14-36: Number of Samples and Mean Organic Carbon Values for Pinion Estimation Categories
(by rock unit, barium domain, and zones inside [refractory] or outside [oxide and transitional] refractory solids)
Estimation Category | Multi-lithic Breccia |
# of Samples | Mean Value (%) |
Low-Grade Barium, and Outside Barium Domains, Oxide and Transitional | 2,090 | 0.309 |
High-Grade Barium, Oxide and Transitional | 131 | 0.126 |
Estimation Category | Sentinel Mountain Dolomite and Devil’s Gate Limestone |
# of Samples | Mean Value (%) |
All Data | 1,284 | 0.653 |
Estimation Category | Chainman and Webb Formations |
# of Samples | Mean Value (%) |
Low-Grade Barium, and Outside Barium Domains, Oxide and Transitional | 2,991 | 0.292 |
Low-Grade Barium, and Outside Barium Domains, Refractory | 1,445 | 0.601 |
Estimation Category | Tripon Pass Formation |
# of Samples | Mean Value (%) |
Low-Grade Barium, and Outside Barium Domains, Oxide and Transitional | 876 | 0.631 |
Low-Grade Barium, and Outside Barium Domains, Refractory | 730 | 0.930 |
Categories represented by only a small number of samples were evaluated on-screen with respect to location and volume of material to be estimated. If the volume in the block model to be estimated could be reasonably estimated without projecting CORG grades over extreme distances, they were estimated and are represented in Table 14-36. However, if unreasonable distances were required to estimate grades into model blocks, then values were assigned to those blocks rather than estimated. The assigned values (Table 14-38) were determined based on relationships between mean CORG values for categories that are well represented by data.
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Table 14-37: Assigned Organic Carbon Values for Pinion Estimation Categories
(by formation, barium domain and zones inside [refractory] or outside [oxide and transitional] refractory solids)
Assigned CORG |
Formation | Barium Domain | Refractory Zone | Assigned Value |
Multi-lithic Breccia | Low-Grade and Outside Domains | Refractory | 0.55 |
Multi-lithic Breccia | High-Grade | Refractory | 0.22 |
Chainman and Webb Formations | High-Grade | Oxide and Transitional | 0.10 |
Chainman and Webb Formations | High-Grade | Refractory | 0.18 |
Tripon Pass Formation | High-Grade | Oxide and Transitional | 0.15 |
Tripon Pass Formation | High-Grade | Refractory | 0.30 |
The strongest correlation apparent in CORG statistics is an inverse relationship between rock unit, and refractory zone (in/out of modeled solids) and barium domain. Silica zone (in/out of modeled solids) also varies systematically in a similar manner to barium domains relative to rock unit, but not as strongly. The inverse correlations, with lower mean CORG values in more altered and oxidized rocks, are indicative of increasing baritization, silicification, and decarbonatization. Primary organic carbon associated with clastic and micritic units is essentially flushed out of the sedimentary rocks by mineralizing hydrothermal fluids and re-deposited elsewhere. In all samples, CORG values outside high-grade barium domains are triple the amount that occurs within. Similarly, mean CORG values are nearly double inside the refractory solids versus outside (oxidized). Primary controls applied to estimation for the multi-lithic breccia, the Webb Formation and Chainman formation are a combination of barium domain and refractory zone. No systematic differences were observed in CORG values for the Sentinel Mountain Dolomite or Devil’s Gate Limestone, so both were estimated together using all respective contained data.
CORG contents were estimated into the Pinion block model, according to the categories described above. CPPs were evaluated by category for potential capping of assays. Only two were warranted (Table 14-38). Half the sample composites are ~3 ft in length, however, about one-quarter of the lengths are 30 ft. Given the large number of 30-ft sample lengths and the model block dimension of 30 ft3, assay sample data were composited to 30 ft.
Table 14-38: Organic Carbon Capping Values for Pinion Estimation Categories
(by formation, barium domain, and zones inside [refractory] or outside [oxide and transitional] refractory solids)
Capped CORG |
Formation | Barium Domain | Refractory Zone | Capping Value (%) |
Sentinel Mountain Dolomite and Devil’s Gate Limestone | All | All | 3.50 |
Webb and Chainman Formations | Low-Grade and Outside | Refractory | 3.00 |
All estimates were done using the same search orientations and associated estimation areas as were applied to the gold and silver estimates (Table 14-22). The maximum search distance applied to most estimates for CORG was 980 ft. The maximum distance for a few runs were extended by up to 420 ft on a limited basis to fill in a small number of un-estimated blocks. Search ellipses were strongly anisotropic, with most major, minor, and vertical search distances at 980 ft, 980 ft, and 245 ft, respectively, and ID2 methodology was used. Due to the relatively long composite length, the maximum number of composites, and maximum composites per hole allowed to estimate a block were limited to five and two, respectively. No search restrictions were applied to CORG, except for one in the Sentinel Mountain Dolomite/Devil’s Gate Limestone (restricted >2.9% CORG within 250 ft, regardless of barium domain or refractory zone).
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The LECO assays are relatively well-distributed within the deposit in potentially mineable pits at lower gold prices, but there are localized areas that lack data. Also, significant areas of pits at higher gold prices contain no LECO data. Estimated grades of CORG in these areas can be relatively far from assayed samples. To flag model blocks that are at relatively greater distances from assayed samples, Mr. Lindholm assigned a confidence code of ’0’ to all estimated blocks with closest composite more distant than 425 ft.
| 14.3.7 | Pinion Acid-Base Accounting Model and Estimation |
An ABA block model was produced to characterize the acid-generating or neutralizing potential of mined waste material. MDA estimated CINO and SSUL into the ABA block model, and designated model blocks as either PAG or NAG. All ABA calculations and PAG/NAG designation criteria were provided by Stantec.
Gold Standard provided LECO analyses of carbon and sulfur species. The analyses were done on samples that varied from 1 ft to 6 ft for original core intervals, and for RC sample composites from 10 ft to 35 ft.
The authors evaluated the CINO and SSUL statistics by rock unit, barium domain and in/out of the refractory solids (Table 14-39 and Table 14-40). The statistics in the tables are summarized according to categories chosen for estimation. Because relationships between silica and barium contents relative to CINO and SSUL are similar, subsequent discussions regarding statistics and estimates in terms of barium domain also apply to the silica zones.
Table 14-39: Number of Samples and Mean Inorganic Carbon Values for Pinion Estimation Categories
(by rock unit, barium domain, and zones inside [refractory] or outside [oxide and transitional] refractory solids)
Estimation Category | Multi-lithic Breccia |
# of Samples | Mean Value (%) |
Low-Grade Barium, and Outside Barium Domains, Oxide and Transitional | 2,090 | 2.242 |
High-Grade Barium, Oxide and Transitional | 130 | 0.389 |
Estimation Category | Sentinel Mountain Dolomite and Devil’s Gate Limestone |
# of Samples | Mean Value (%) |
Low-Grade Barium, and Outside Barium Domains | 1,275 | 8.601 |
Estimation Category | Chainman and Webb Formations |
# of Samples | Mean Value (%) |
Low-Grade Barium, and Outside Barium Domains, Oxide and Transitional | 2,990 | 0.672 |
Low-Grade Barium, and Outside Barium Domains, Refractory | 1,445 | 1.084 |
Estimation Category | Tripon Pass Formation |
# of Samples | Mean Value (%) |
Low-Grade Barium, and Outside Barium Domains | 1,606 | 4.317 |
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Table 14-40: Number of Samples and Mean Sulfide Sulfur Values for Pinion Estimation Categories
(by rock unit, barium domain, and zones inside [refractory] or outside [oxide and transitional] refractory solids)
Estimation Category | Multi-lithic Breccia |
# of Samples | Mean Value (%) |
Oxide and Transitional | 2,214 | 0.041 |
Estimation Category | Sentinel Mountain Dolomite and Devil’s Gate Limestone |
# of Samples | Mean Value (%) |
All Data | 1,284 | 0.033 |
Estimation Category | Webb Formation |
# of Samples | Mean Value (%) |
Oxide and Transitional, Outside Barium Domains | 545 | 0.048 |
Oxide and Transitional, Low- and High-Grade Barium Domains | 12 | 0.015 |
Refractory, Outside Barium Domains | 573 | 0.200 |
Refractory, Low- and High-Grade Barium Domains | 19 | 1.211 |
Estimation Category | Chainman Formation |
# of Samples | Mean Value (%) |
Oxide and Transitional, Outside Barium Domains | 2,405 | 0.087 |
Oxide and Transitional, Low- and High-Grade Barium Domains | 27 | 0.677 |
Refractory, Outside Barium Domains | 844 | 0.334 |
Refractory, Low- and High-Grade Barium Domains | 9 | 0.384 |
Estimation Category | Tripon Pass Formation |
# of Samples | Mean Value (%) |
Oxide and Transitional, Outside Barium Domains | 690 | 0.048 |
Oxide and Transitional, Low- and High-Grade Barium Domains | 183 | 0.068 |
Refractory, Outside Barium Domains | 612 | 0.203 |
Refractory, Low- and High-Grade Barium Domains | 115 | 0.259 |
Categories represented by only a small number of samples were evaluated on-screen with respect to location and volume of material to be estimated. If the volume in the block model to be estimated could be reasonably estimated without projecting CINO and SSUL grades over extreme distances, they were estimated and are represented in Table 14-39 and Table 14-40. However, if unreasonable distances were required to estimate grades into model blocks, then values were assigned to those blocks rather than estimated. The assigned values (Table 14-41) were determined based on relationships between mean CINO and SSUL values for categories that are well represented by data.
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Table 14-41: Assigned Inorganic Carbon and Sulfide Sulfur Values for Pinion Estimation Categories
(by formation, barium domain and zones inside [refractory] or outside [oxide and transitional] refractory solids)
Assigned CINO |
Formation | Barium Domain | Refractory Zone | Assigned Value |
Sentinel Mountain Dolomite and Devil’s Gate Limestone | Low-Grade | All | 7.46 |
Sentinel Mountain Dolomite and Devil’s Gate Limestone | High-Grade | All | 3.57 |
Sentinel Mountain Dolomite and Devil’s Gate Limestone | Outside Domains | All | 8.97 |
Chainman and Webb Formations | Low-Grade | All | 0.52 |
Chainman and Webb Formations | High-Grade | All | 0.16 |
Chainman and Webb Formations | Outside Domains | All | 0.81 |
Assigned SSUL |
Formation | Barium Domain | Refractory Zone | Assigned Value |
Multi-lithic Breccia | Low-Grade and Outside Domains | Refractory | 0.17 |
Multi-lithic Breccia | High-Grade | Refractory | 0.39 |
Sentinel Mountain Dolomite and Devil’s Gate Limestone | Low-Grade | All | 0.02 |
Sentinel Mountain Dolomite and Devil’s Gate Limestone | Outside Domains | All | 0.04 |
Webb Formation | All | Oxide and Transitional | 0.05 |
Webb Formation | All | Refractory | 0.23 |
Chainman Formation | All | Oxide and Transitional | 0.09 |
Chainman Formation | All | Refractory | 0.34 |
Tripon Pass Formation | All | Oxide and Transitional | 0.05 |
Tripon Pass Formation | All | Refractory | 0.21 |
CINO statistics varied inversely and systematically by rock unit in combination with barium domain and silica zone (in/out of modeled solids). The inverse correlation is indicative of increasingly altered and mineralized rocks due to baritization, silicification, and decarbonatization. CINO values in the multi-lithic breccia and Webb and Chainman formations differ in each barium domain. In low-grade barium and outside the barium domains, CINO also varies by refractory zone (in/out of modeled solids). CINO contents in low-grade barium domains and outside modeled barium domains behave similarly compared to high-grade barium domains in the Sentinel Mountain Dolomite, Devil’s Gate Limestone, and Tripon Pass Formation, and there is no distinction by refractory zone. SSUL statistics show strong relationships by refractory zone within the multi-lithic breccia. In the Webb, Chainman, and Tripon Pass Formations, SSUL varies by both refractory zone and barium domain. Statistics for SSUL in low- and high-grade barium domains are similar compared to outside barium domains in these units. No systematic differences were observed in SSUL values for the Sentinel Mountain Dolomite or Devil’s Gate Limestone, so both were estimated together using all respective contained data.
CINO and SSUL contents were estimated independently into the ABA block model, according to the categories described above. CPPs for each species estimated were evaluated by category for potential capping of assays. Only one was warranted for CINO, and several caps were applied to the SSUL data (Table 14-42). Half the sample composites are ~3 ft in length. However, about one-quarter of the lengths are 30 ft. Given the model block dimension of 30 ft3, assay sample data were composited to 30 ft.
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Table 14-42: Inorganic Carbon and Sulfide Sulfur Capping Values for Pinion Estimation Categories
(by formation, barium domain, and zones inside [refractory] or outside [oxide and transitional] refractory solids)
Capped CINO |
Formation | Barium Domain | Refractory Zone | Capping Value (%) |
Multi-lithic Breccia | High Grade | Oxide and Transitional | 4.00 |
Capped SSUL |
Formation | Barium Domain | Refractory Zone | Capping Value (%) |
Webb Formation | Outside Domains | Oxide and Transitional | 0.70 |
Chainman Formation | Outside Domains | Oxide and Transitional | 4.00 |
Tripon Pass Formation | Outside Domains | Oxide and Transitional | 0.90 |
All estimates were done using the same search orientations and associated estimation areas as were applied to the gold and silver estimates (Table 14-22). The maximum search distance applied to most estimates for both CINO and SSUL was 980 ft. The maximum distance for a few runs were extended by up to 420 ft on a limited basis to fill in a small number of un-estimated blocks. Search ellipses were strongly anisotropic, with most major, minor, and vertical search distances at 980 ft, 980 ft, and 245 ft, respectively, and ID2 methodology was used. Due to the relatively long composite length, the maximum number of composites, and maximum composites per hole allowed to estimate a block were limited to five and two, respectively.
No search restrictions were applied to CINO, except for one in the high-grade barium domain of oxidized and transitional multi-lithic breccia (restricted >2.0% CINO within 500 ft). Two were applied to SSUL estimates in oxidized and transitional material outside barium domains, one in the Webb Formation (restricted >0.7% SSUL within 500 ft) and another in the Chainman Formation (restricted >1.1% SSUL within 500 ft).
Correlograms were generated to evaluate continuities in the data with respect to distance. These demonstrated reasonable continuity for CINO at ranges up to 1,210 ft in low-grade and outside the barium domains. There was not enough data to build meaningful correlograms in the high-grade barium domain.
Correlograms of SSUL data indicate continuity to a maximum of 330 ft, depending on refractory zone. As noted above, the maximum search distance applied to most estimates for CINO and SSUL was 980 ft. The maximum distance for estimation applied to SSUL was the same as applied to CINO. The relatively short continuity indicated by correlograms might preclude the application of longer search distances, but PAG/NAG designation is dependent on the estimated grades of both CINO and SSUL, and a significant portion of blocks would not be characterized as PAG or NAG. So, although there is lower confidence in the SSUL estimated values beyond distances of 330 ft, most blocks within potential open pits can be designated as PAG or NAG. This added risk was recorded as a block attribute.
The LECO assays are relatively well-distributed within the deposit in potentially mineable pits at lower gold prices, but there are localized areas that lack data. Also, significant areas of pits at higher gold prices contain no LECO data. Estimated grades of CINO and SSUL in these areas can be relatively far from assayed samples. To flag model blocks that are at relatively greater distances from assayed samples, Mr. Lindholm assigned a confidence code of ’0’ to all estimated blocks with closest composite more distant than 425 ft. This confidence code compensates for the shorter continuities demonstrated in correlograms for SSUL. Because CINO and SSUL were estimated according to different criteria, these codes were assigned separately for each, and a combined code was assigned if either CINO or SSUL confidence codes was ’0’.
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Like Dark Star, model blocks were designated as PAG (code of ’1’) or NAG (code of ’2’) according to criteria as defined by Stantec. First, ANP, AGP, and NNP values were calculated from estimated CINO and SSUL values. Next, a PAG/NAG designation was assigned according to criteria for four potential waste characterization scenarios, as shown in Table 14-15 located in Dark Star Section 14.2.6.
| 14.3.8 | Pinion Clay Model and Estimation |
Gold Standard requested a clay model to determine the relative quantity of clay material that will be encountered and potentially affect crushing and grinding. A source of under-liner material for leach pads and waste dumps was also sought. According to Gold Standard geologists, clay alteration or weathering at Pinion is found in in structural zones in the multi-lithic breccia but is limited in abundance and extent.
The only comprehensive clay data is subjective logging in drill holes on a scale from 0 (no clay) to 3 (strong clay alteration). Mr. Lindholm evaluated logged clay values statistically with respect to formation, gold and barium domains, silicification and redox. Based on the statistical analysis, clay was estimated in the following order:
| 1. | In high-grade barite domains, |
| 2. | In the silicification solid outside high-grade barium domains, and |
| 3. | The remainder by formation. |
Because the logged clay data is subjective and the scale of the logging is broadly qualitative, the estimate is a very generalized representation of the clay content in the deposit. The values in the block model (0.00 to 3.00) provide a rough, imprecise estimation of the strength of clay alteration in a given area. The maximum search distance was limited to 150 ft, and un-estimated blocks were left as blank values.
All densities were measured using the immersion method by an independent laboratory. There are 654 density-sample measurements in the Pinion database within assayed intervals. Application of density values to the Pinion block model was dependent on numerous supporting modeled (formation/rock unit and silicification zone in/out of solids) and estimated (barium grade) criteria that have been discussed in various prior sections. The mean density values, and the values assigned to the units in the model, are summarized in Table 14-43.
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Table 14-43: Density Values Applied to the Pinion Block Models
Formation | Barium Domain | Silicification Zone | Number of Samples | Density (g/cm3) | Tonnage Factor |
Multi-lithic breccia | Outside | Outside | 11 | 2.55 | 12.57 |
Multi-lithic breccia | Low barite | Any | 137 | 2.59 | 12.38 |
Multi-lithic breccia | Low and high barium* | Any | | 2.79 | 11.49 |
Multi-lithic breccia | High barium | Any | 26 | 2.99 | 10.72 |
Multi-lithic breccia | Outside | High silica | 15 | 2.54 | 12.62 |
Sentinel Mountain Dolomite | Any | Any | 35 | 2.63 | 12.19 |
Devils Gate Limestone | Outside | Outside | 82 | 2.62 | 12.23 |
Devils Gate Limestone | Low barium | Any | 50 | 2.61 | 12.28 |
Devils Gate Limestone | Low and high barium* | Any | | 2.81 | 11.42 |
Devils Gate Limestone | High barium | Any | 1 | 3.00 | 10.68 |
Devils Gate Limestone | Outside | High silica | 2 | 2.72 | 11.76 |
Webb Fm | Outside | Outside | 57 | 2.46 | 13.03 |
Webb Fm | Low barium | Any | 2 | 2.53 | 12.65 |
Webb Fm | Low- and high-barium* | Any | | 2.72 | 11.77 |
Webb Fm | High barium | Any | None | 2.91 | 11.00 |
Webb Fm | Outside | High silica | None | 2.56 | 12.53 |
Chainman Fm | Outside | Outside | 113 | 2.46 | 13.03 |
Chainman Fm | Low barium | Any | 6 | 2.49 | 12.87 |
Chainman Fm | Low and high barium* | Any | | 2.68 | 11.97 |
Chainman Fm | High barium | Any | None | 2.86 | 11.19 |
Chainman Fm | Outside | High silica | None | 2.56 | 12.53 |
Tripon Pass Fm | Outside | Outside | 74 | 2.48 | 12.92 |
Tripon Pass Fm | Low barium | Any | 38 | 2.54 | 12.62 |
Tripon Pass Fm | Low and high barium* | Any | | 2.73 | 11.74 |
Tripon Pass Fm | High barium | Any | None | 2.92 | 10.97 |
Tripon Pass Fm | Outside | High silica | 5 | 2.58 | 12.43 |
* Both barium domains present in same block |
Tonnage Factor = 2000 / (Density * 62.4) |
When the samples are parsed out by formation/rock unit, silicification zone and barite domains, the geologic features that most affect density, there are a reasonable number (in the tens) of samples representing each category with a few exceptions. The multi-lithic breccia, the primary host of gold at Pinion, is the best-represented unit with 189 density samples. For most combinations of formation, silicification domain and barite domain, there are least 15 density samples. Two categories, multi-lithic breccia outside barite domains and silicification solids, and Chainman Formation in the low-grade barium domain, are represented by the average of only 11 and six density measurements, respectively. Where five or fewer density samples were measured for a given category, the density values were evaluated and assigned using relationships of data from units with similar geological characteristics that are based on more density measurements.
| 14.3.10 | Discussion of Pinion Estimated Mineral Resources and Supporting Models |
Pinion has a long history of exploration drilling dating back to 1981 and there are many drill holes of varying quality and reliability. Consequently, the estimators spent much time auditing, evaluating QA/QC information and sample integrity, and comparing drill campaigns through explicit modeling of domains. Overall, drilling results produced by the twelve historical operators tend to be consistent and are generally corroborated by subsequent Gold Standard drilling. The consistency between drilling campaigns adds confidence to the project assay data. However, many of the TCX holes drilled by Amoco in 1981 were eliminated from use in estimation because assay results conflicted with surrounding data.
None of the historical drilling has supporting QA/QC information and not all have supporting assay certificates. This lower-confidence data set was taken into account by downgrading classification of blocks that were entirely dependent on the historical data. However, the downgrade was not severe because all historical data was mutually supportive, except for the 1981 Amoco drilling.
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Some contamination was noted by both MDA and Gold Standard, and suspect samples were eliminated from estimation. Below the main mineralized multi-lithic breccia body, there are many low-grade samples that could also represent contamination or could be steeply-dipping extensions of grade along fracture zones below the deposit. The evidence for contamination was not deemed to be definitive, so these samples were used in modeling and used in estimation. However, these blocks were classified as Inferred.
Since the May 2019 effective date of the database for Pinion used in the 2020 PFS of Ibrado et al. (2020), 128 additional holes were drilled or added to the database and have been incorporated into the current resource model. Gold, silver and barium domains were updated with the newer information. Overall, the new holes added to the veracity of the 2019 gold domain model, and the lack of significant changes to the 2019 resource estimate where drilling was already dense adds to the level of confidence in the block model. Classification of material in the model was elevated to Indicated and Measured with the delineation drilling to the south. The addition of more reliable Gold Standard holes in these areas where historical drilling was predominant also helped increase classification.
Another 31 holes have been drilled since the effective date of the current database. Mr. Lindholm evaluated the potential changes these holes would cause to the gold, silver and barium domains. All but eight of the holes are either located outside the modeled domains, are monitor or water wells with no assays, or were infill or twin holes that would cause only localized, incremental changes to domains. Three were infill holes in areas with earlier, wide-spaced drilling that generally confirm current modeling, but would locally widen, narrow, and/or change the vertical location of domains. There are five step-out holes to the south and southeast well outside or below the current optimized pit limits. These could extend, widen and/or increase the grade of current resources, but would be unlikely to cause the pit dimensions to increase without further delineation drilling.
The AuCN/AuFA ratios were calculated using cyanide-shaker test assays, which lack QA/QC samples, and were relatively few in number compared to standard fire assay data. The cyanide-soluble gold estimate is likely reasonable in a global sense. However, the ability to predict AuCN/AuFA ratios locally is improbable. The AuCN/AuFA ratio block model is therefore lower in confidence than the gold and silver block models.
In addition to the mineral resources reported herein, there is mineralization that continues beyond, and is contiguous with the reported mineral resources. The reported mineral resource estimate is pit-constrained and consequently there is estimated mineralization outside the pit that is unreported. The unreported mineralization is shown graphically in Figure 14-21.
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(gray lines are drill holes; blue solid is the 0.004 oz Au/ton grade shell; red is the $1750 optimized pit shell)
Figure 14-21: Pinion Optimized Pit and Additional Mineralization
Where silver was modeled, the ratio of silver grade to gold grade is around 7:1.
The Pinion deposit has clustered drill data, which can represent risk to the estimate. The clustered data lies within the open-pit limits where the highest-grade gold mineralization is present and mining will potentially take place. Inverse- distance and kriged estimation will have a tendency to project the clustered-sample distances into areas with lower sample densities. To reduce the effects of this data clustering, the inverse-distance power was increased to three and four for the low- and high-grade gold estimates, respectively. Still, the possibility remains that the estimated grades in areas of lower sample density, which were classified as Inferred, will be slightly lower in reality than what is presented herein.
For all classified material, MDA’s mineral resource tons at 0.005 oz Au/ton were larger by ~21%, gold grade was lower by ~1%, and total gold ounces were higher by ~19% compared to the 2019 Pinion mineral resource estimate reported in the PFS update (Ibrado et al, 2020). The increase in tons and ounces is attributed to the new infill, delineation and step-out drilling conducted at the south end of the deposit since the 2020 PFS. Also, the gold price of the reported optimized pit was increased from $1,500 to the currently reported $1,750. There were small differences in the gold model and estimate resulting from the conversion from metric to Imperial units. For example, the block dimensions were increased slightly from 9 m x 9 m x 9 m to 30 ft x 30 ft x 30 ft. Additional dilution, albeit only a small amount, would be expected with the larger block sizes. MDA performed a bench-height study on composite data to evaluate the potential changes to the mineral resources attributed to the additional dilution with the changed bench height, and showed that, for resources above a 0.006 oz Au/ton cutoff, the gold grade would decrease by about 2% and tons would increase by about 6%. Also, there are incremental differences in the section and level plan locations causing changes to the modeled gold domains, and consequently to the gold resources. However, these differences due to conversion to Imperial units are insignificant compared to the increases in the resource resulting from expansion of the resources to the south.
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There is the possibility of additional risk that has resulted from the conversion from metric to Imperial units of drill-hole collar coordinates. Gold Standard holes were surveyed in metric units, so the direct conversion of northings and eastings using a factor of 1 m = 3.280833333 ft maintained the spatial relationship between these drill-hole data and associated geology modeling, domains and block model, which were also converted using identical values. However, it is believed that some historical drill collars were originally surveyed in feet and later converted to metric. Comparisons of metric and Imperial coordinates in the collar tables received from Gold Standard indicate conversion factors were inconsistently applied. Because values of northings and eastings are so large, discrepancies up to 150 ft can result by application of conversion factors that differ in the fifth decimal place. The risks associated with such potential discrepancies have been accounted for in the reduced classification of mineral resources in areas relying predominantly on historical data.
| 14.4 | Jasperoid Wash Mineral Resources |
The Jasperoid Wash mineral resource estimate was completed on November 15, 2018, which is the effective date of the current mineral resources. The Jasperoid Wash mineral resource estimate is based on drilling through September 6, 2018. However, a minor number of drill holes were updated with new collar surveys and geology as late as October 6, 2018, which makes it effective date for the Jasperoid Wash database.
A total of 31 additional drill holes (24,816 ft) were drilled at Jasperoid Wash after the effective date of the mineral resource estimate. Three were core holes for 2,596 ft, and the remainder were RC for 22,220 ft. No auditing or QA/QC evaluations were done on this data set. Data for these holes were received in late 2018 and 2020 and evaluated for potential impacts on the reported mineral resource estimate; the results of the evaluation are described in Section 14.4.8. Although the gold estimate was completed as of November 15, 2018, the effective date of the Jasperoid Wash mineral resource estimate is January 31, 2022 when new optimized pit shells using more current mining costs were generated. Gold resources, as well as the AuCN/AuFA ratio model, are reported herein.
References to Tomera Formation equivalent stratigraphy have been noted historically. However, recent work suggests these units in the Railroad-Pinion property may not be of equivalent age, so all usage of Tomera Formation equivalent in this Technical Report refer to units that are Pennsylvanian-Permian undifferentiated.
Following the Pre-Feasibility study of Ibrado et al. (2020), Gold Standard made a decision to convert all project data from metric to Imperial units. MDA converted all length data, including collar northings and eastings, from meters to feet (1 m = 3.280833333 ft), and assay grades from g/tonne to oz/ton (1 oz/ton = 34.285714 g/tonne). Section plane spacing, block model block sizes, and other modeling dimensions were changed. Specifics and ramifications of the conversions are discussed in various sections below.
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| 14.4.1 | Jasperoid Wash Database |
Since 1989, three companies have conducted exploration drilling at Jasperoid Wash. Gold Standard began drilling in 2017. In all, 91 RC holes (92% of footage) and 6 core holes (8% of footage) totaling 57,107.5 ft have been drilled (see Table 14.44 and Figure 14-22). There are no historical QA/QC data for the historical holes, which currently represent 46% (22,346.5 ft) of the holes in the mineral resource database.
Descriptive statistics of all Jasperoid Wash drill-hole analytical data audited and imported into MineSight by MDA are summarized in Table 14.44. There are no density measurements at Jasperoid Wash. Because there are so few core holes, core recovery and RQD data were not imported.
Table 14.44: Summary of Drilling at Jasperoid Wash
Company | Type | Number | Total Feet |
Cameco | RC | 7 | 4,035 |
| Total | 7 | 4,035 |
Westmont | Core | 3 | 966.5 |
| RC | 47 | 21,345 |
| Total | 50 | 22,311.5 |
Gold Standard | Core | 3 | 3,511 |
| RC | 37 | 27,250 |
| Total | 40 | 30,761 |
Total | Core | 6 | 4,477.5 |
| RC | 91 | 52,630 |
Grand Total | | 97 | 57,107.5 |
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Note: hachured area shows third-party inlier claims not controlled by Gold Standard.
Figure 14.22: Jasperoid Wash Deposit Drill-hole Map and Mineral Resource Outline
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Table 14-45: Descriptive Statistics of Sample Assays in Jasperoid Wash Mineral Resource Database
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
From | 10,510 | | | | | 0.0 | 1930.0 | ft |
To | 10,510 | | | | | 5 | 1935.0 | ft |
Length | 10,510 | 5.0 | 5.4 | | | 0.5 | 49.5 | ft |
TYPE | 10,508 | | | | | 1 | 2 | |
AU | 10,147 | 0.0013 | 0.0029 | 0.0052 | 1.7741 | 0.0001 | 0.0841 | oz Au/ton |
AuCN | 1,498 | 0.0038 | 0.0057 | 0.0070 | 1.2432 | 0.0004 | 0.0817 | oz Au/ton |
AuCN/AuFA ratio | 1,497 | 74.0 | 63.5 | 30.6 | 0.5 | 1.0 | 110.0 | % |
The Jasperoid Wash database contains 10,147 gold assay records (Table 14-45). No explicit determination of sample reliability was made because Inferred mineral resources are reported, and there was no indication of serious issues regarding sample reliability. However, three holes have long intercepts of mineralization that are anomalous relative to adjacent holes. These samples were used in the mineral resource estimate, but evaluation of these assays and/or additional drilling should be done to ensure that the results are reliable. However, if the assays prove to be unreliable, the impact on the mineral resource estimate would be small.
Gold Standard’s drill-hole collar locations, downhole survey data, and gold analyses were verified as described in Section 12. There are few supporting certificates for historical drilling. The database contains logged geology, including rock types, formations, faults, vein type, silicification, clay, dolomite, barite, limonite, hematite, carbonate, sulfide percent, and percent reduced, all of which were imported. The logged geology was reviewed and used in modeling but was not audited.
| 14.4.2 | Jasperoid Wash Geologic Model |
Gold Standard provided digital geologic interpretations as surfaces and 3D solids for faults, formation contacts, alteration and shapes defining areas of high AuCN/AuFA ratios. All geologic surfaces were interpreted on east-west cross- sections by use of surface maps and downhole drill data. The authors reviewed all sections and models provided by Gold Standard, and when problematic areas were encountered, the authors worked with Gold Standard geologists to produce a coherent, mutually acceptable geologic model.
The authors combined appropriate upper and lower geologic rock unit surfaces, fault surfaces, and intrusive cross- sectional interpretations to produce 3D geologic solids for coding the block model. Coded rock units include: the Mississippian Tonka Formation (a conglomerate), the Pennsylvanian-Permian undifferentiated units (from oldest to youngest - lower conglomerate, lower siltstone, middle conglomerate, and upper siltstone), and Tertiary intrusive bodies. The middle conglomerate of the undifferentiated Pennsylvanian-Permian units, which may correlate with units at Dark Star that are possibly Tomera Formation age equivalent rocks, is the primary host for mineralization. The Tertiary conglomerates and Elko Formation are recognized as secondary hosts, and the lower siltstone contains some less extensive gold mineralization. Limited mineralization is found in the lower conglomerate, and additional mineralization can be encountered within the intrusive bodies. MDA determined that Quaternary colluvium exists in insufficient quantities to impact mining and mineral resources, so it was not modeled. All geologic interpretations, in combination with assays and logged data, were used to guide metal domain modeling, to estimate cyanide solubility into the model, and to define clay zones.
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| 14.4.3 | Jasperoid Wash Gold Domains and Estimation |
| 14.4.3.1 | Gold Domain Model |
Gold domains based on sample assay ranges were interpreted on sections spaced 98.5 ft apart, oriented east-west and looking north. The section spacing was originally 30 m. Domains were defined based on population breaks on the CPP for all gold data (Figure 14-23). The domain grade ranges were originally determined using assay data in g Au/t and converted to oz Au/ton. The CPP was remade to reflect Imperial units, however, some of the grade breaks apparent on the metric chart were not as readily apparent on the Imperial chart. The lower limit of the outer shell gold domains does not plot well on the CPP because the level of precision of the statistical package used is only three decimal places. Grade ranges converted from those originally determined in metric units were retained and used for modeling gold domains.
The lowest-grade domain limit is at about 0.0015 oz Au/ton, but its definition is unclear because of the high and variable gold-assay detection limits. A second domain was needed to control the higher-grade portion of the deposit that was evident in drilling on section. The low-grade/high-grade domain boundary is between ~0.0047 oz Au/ton to 0.0056 oz Au/ton, where a very subtle break occurs in the line on the CPP plot in Figure 14-23. There is also a higher-grade domain above ~0.0438 oz Au/ton, but these samples represent less than one percent of the data and there is no evidence of continuity.
Figure 14-23: Cumulative Probability Plot of Jasperoid Wash Gold Assays
During a site visit in September 2018, Mr. Lindholm reviewed core from JW17-01 and JW18-01. Gold Standard staff geologists provided guidance and expertise with respect to the geology of the deposit and the nature of gold mineralization. As is common with Carlin-type, sedimentary-rock hosted epithermal gold deposits, the relationships between gold mineralization and rock, alteration and/or mineral assemblages can be subtle and inconsistent. However, the following characteristics were commonly observed with respect to gold mineralization:
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| 1. | In Carlin-type systems, higher porosity can be attributed to decarbonatization of calcareous sedimentary rocks and coarser-grained sedimentary units. At Jasperoid Wash, the middle conglomerate is typically more decalcified than other units above and below; |
| 2. | Gold mineralization is commonly confined between less permeable units, such as in argillized fault gouges or more clastic stratigraphic horizons; |
| 3. | Argillized areas often occur adjacent to felsic intrusive bodies and related zones of structural movement or weakness. No visible sulfides were observed in argillized areas; however, a distinct and strong sulfur smell was noted in these zones in JW17-01; and |
| 4. | Mineralized areas outside argillic zones are dominated by limonite in fractures and moderate hematization of host rock. |
Descriptive statistics of assays by the modeled domains are presented in Table 14-46. No outlier grades in either domain were indicated in the data for Jasperoid Wash.
Table 14-46: Jasperoid Wash Descriptive Statistics by Gold Domain
Low-Grade Gold Domain |
| Valid | Median | Mean | Std. Dev. | CV | Min | Max | Units |
From | 2,036 | | | | | | 1025 | ft |
To | 2,036 | | | | | 5 | 1029 | ft |
Length | 2,036 | 5.00 | 5.06 | | | 0.5 | 49.53 | ft |
TYPE | 2,034 | | | | | 1 | 2 | |
AU | 2,014 | 0.0030 | 0.0033 | 0.0020 | 0.6093 | 0.0001 | 0.0210 | oz Au/ton |
Capped Au | 2,014 | 0.0030 | 0.0033 | 0.0020 | 0.6093 | 0.0001 | 0.0210 | oz Au/ton |
AuCN | 622 | 0.0029 | 0.0029 | 0.0018 | 0.6218 | 0.0004 | 0.0184 | oz Au/ton |
AuCN/AuFA ratio | 622 | 70.0 | 64.1 | 28.5 | 0.4 | 5.0 | 110.0 | % |
High-Grade Gold Domain |
| Valid | Median | Mean | Std. Dev. | CV | Min | Max | Units |
From | 1,359 | | | | | | 795 | ft |
To | 1,359 | | | | | 5 | 800 | ft |
Length | 1,359 | 5.00 | 4.95 | | | 0.5 | 24.23 | ft |
TYPE | 1,359 | | | | | 1 | 2 | 0 |
AU | 1,352 | 0.0085 | 0.0118 | 0.0096 | 0.8164 | 0.0003 | 0.0841 | oz Au/ton |
Capped Au | 1,352 | 0.0085 | 0.0118 | 0.0096 | 0.8164 | 0.0003 | 0.0841 | oz Au/ton |
AuCN | 788 | 0.0058 | 0.0082 | 0.0088 | 1.0669 | 0.0004 | 0.0817 | oz Au/ton |
AuCN/AuFA ratio | 788 | 78.0 | 65.3 | 31.9 | 0.5 | 1.0 | 110.0 | % |
Outside Gold Domains |
| Valid | Median | Mean | Std. Dev. | CV | Min | Max | Units |
From | 7,115 | | | | | 0 | 1930 | ft |
To | 7,115 | | | | | 5 | 1935 | ft |
Length | 7,115 | 5.00 | 5.63 | | | 1 | 49.5 | ft |
TYPE | 7,115 | | | | | 1 | 2 | |
AU | 6,781 | 0.0008 | 0.0011 | 0.0016 | 1.4676 | 0.0001 | 0.0450 | oz Au/ton |
Capped Au | 6,781 | 0.0008 | 0.0008 | 0.0007 | 0.7693 | 0.0001 | 0.0018 | oz Au/ton |
AuCN | 88 | 0.0020 | 0.0025 | 0.0036 | 1.4083 | 0.0004 | 0.0318 | oz Au/ton |
AuCN/AuFA ratio | 87 | 45.0 | 43.7 | 26.4 | 0.6 | 2.0 | 103.0 | % |
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Geologic interpretations provided guidance for definition of gold domains. The mineralization in the eastern part of the deposit is stratiform and dips gently to the west. It becomes more steeply dipping to the west where faults down-drop the stratigraphy. This structural corridor, defined by surface mapping, also appears to control the emplacement of Tertiary intrusions. Mineralization is commonly found along the margins and within the intrusive bodies. Gold mineral domains were generally drawn parallel to stratigraphic contacts in the east and parallel to the intrusions to the west. Silver was not modeled. A cross section showing the interpreted gold domains is given in Figure 14-24.
The MT thrust fault bounds the deposit on the west side. The MT thrust fault dips about 60° to the west and is sub- parallel to the orientation of intrusive rocks and other faults.
After sectional interpretations were completed, gold domains were snapped to drill holes in three dimensions and sliced to 20 ft spaced mid-bench level plans for modeling. Because there were slight differences in section and level plan locations due to the conversion to Imperial units, modifications to gold domains were required.
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Figure 14-24: Jasperoid Wash Zone Gold Domains and Geology – Section N14675822
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| 14.4.3.2 | Gold Composites Statistics and Capping |
Jasperoid Wash gold domains were defined and modeled on 98.5 ft spaced cross sections and each domain was used to code drill-hole samples. Cumulative probability plots were made of the coded assays, which were reviewed to determine appropriate capping limits. Capping values were determined for each of the gold domains separately and were determined by assessing the grade above which outliers occur and reviewing the outlier samples on screen with respect to grade and proximity of surrounding samples, geology, general location, and materiality. Assays in the Jasperoid Wash gold domains required no capping, but samples outside of modeled domains were capped to 0.0018 oz Au/ton.
After capping was completed, drill-hole samples were down-hole composited to 10 ft to respect the original 5 ft drilled intervals, which honors domain boundaries. Descriptive statistics were generated for all composites and were considered with respect to capping levels (Table 14.47).
Table 14.47: Descriptive Composite Statistics by Domain for Jasperoid Wash
Low-Grade Gold Domains |
| Valid | Median | Mean | Std. Dev. | CV | Min | Max | Units |
To | 1,106 | | | | | | 1029 | ft |
Length | 1,106 | | | | | 0 | 10 | ft |
AU | 1,071 | 0.0030 | 0.0033 | 0.0016 | 0.4960 | 0.0003 | 0.0170 | oz Au/ton |
Capped Au | 1,071 | 0.0030 | 0.0033 | 0.0016 | 0.4960 | 0.0003 | 0.0170 | oz Au/ton |
AuCN/AuFA ratio | 432 | 70.0 | 63.6 | 28.2 | 0.4 | 6.0 | 110.0 | % |
High-Grade Gold Domains |
| Valid | Median | Mean | Std. Dev. | CV | Min | Max | Units |
To | 715 | | | | | | 800 | ft |
Length | 715 | | | | | 0 | 10 | ft |
AU | 709 | 0.0085 | 0.0116 | 0.0087 | 0.7494 | 0.0017 | 0.0729 | oz Au/ton |
Capped Au | 709 | 0.0085 | 0.0116 | 0.0087 | 0.7494 | 0.0017 | 0.0729 | oz Au/ton |
AuCN/AuFA ratio | 424 | 78.0 | 65.4 | 30.9 | 0.5 | 2.0 | 107.0 | % |
Outside Gold Domains |
| Valid | Median | Mean | Std. Dev. | CV | Min | Max | Units |
To | 4,044 | | | | | | 1935 | ft |
Length | 4,044 | | | | | 0 | 10 | ft |
AU | 3,403 | 0.0008 | 0.0011 | 0.0014 | 1.2787 | 0.0001 | 0.0335 | oz Au/ton |
Capped Au | 3,403 | 0.0008 | 0.0009 | 0.0006 | 0.7265 | 0.0001 | 0.0018 | oz Au/ton |
AuCN/AuFA ratio | 71 | 42.0 | 42.0 | 26.3 | 0.6 | 2.0 | 102.0 | % |
Correlograms were generated from the composited gold grades in order to evaluate grade continuity. Correlogram parameters provided guidance for classification of mineral resources, and were applied to the kriged estimate, which was used as a check on the reported inverse distance estimate. The correlograms for the mineralized domains have a nugget at 30% of the total sill. The first sill is 30% of the total sill with a range of 80 ft to 115 ft depending on directions. The second sill is 40% of the total sill with a range of 100 ft to 260 ft depending on directions.
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The block model is not rotated, and the blocks are 20 ft north-south by 20 ft vertical by 20 ft east-west. The block dimensions are smaller than those for Pinion and Dark Star because the deposit is both smaller and more lenticular. Only gold was estimated and is being reported.
Multiple iterations of four types of estimates were completed: polygonal, nearest neighbor, inverse distance, and kriged with the inverse-distance estimate being reported. The nearest neighbor, inverse distance and kriged estimates were run several times in order to determine the optimum estimation parameters. ID3 was used for the outside and low-grade domains. ID2 was used for high-grade domains.
The model was divided into three estimation areas (Figure 14-25) to control search anisotropy, orientation, and distances according to the differing geometries of mineralization in each area. The search orientations for each estimation area and the maximum search distances for gold domains are summarized in Table 14.48. Figure 14-22 shows the spatial relationship of the estimation areas to drilling and gold domains.
Figure 14-25: Jasperoid Wash Estimation Areas and Gold Domains in Cross Section
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Table 14.48: Jasperoid Wash Search Ellipse Orientations and Maximum Search Distances by Estimation Area
Estimation Area | Search Ellipse Orientation | Maximum Search Distance (ft) |
Azimuth (degrees) | Dip (degrees) | Rotation (degrees) | Low- Grade | Mid- Grade | Outside Domains |
1 | 90 | 30 | 0 | 1,000 | 820 | 165 |
2 | 90 | 75 | 0 | 1,000 | 820 | 165 |
3 | 90 | 15 | 0 | 1,000 | 820 | 165 |
Note: Semi-major search distance = major search distance; vertical (or minor) search distance = major search distance ÷ 2 (ESTAR 1) and ÷ 4 (ESTAR’s 2 and 3) |
One estimation pass of up to 1,000 ft was run for each domain. All estimation runs were weighted by the sample lengths. Estimation parameters are given in Table 14.49.
Table 14.49: Jasperoid Wash Estimation Parameters
(for search orientations and maximum distances, see Table 14-6)
Description | Parameter |
Low-grade Gold Domain |
Samples: minimum/maximum/maximum per hole | 1/12/2 |
Search anisotropies: major/semimajor/minor (vertical) | 1 / 1 / varies 0.5 to 0.25 |
Inverse distance power | 3 |
High-grade restrictions (grade in oz Au/ton, distance in ft) | N/A |
High-grade Gold Domain |
Samples: minimum/maximum/maximum per hole | 1/12/2 |
Search (m): major/semimajor/minor (vertical) | 1 / 1 / varies 0.5 to 0.25 |
Inverse distance power | 2 |
High-grade restrictions (grade in oz Au/ton, distance in ft) | N/A |
Outside Modeled Gold Domains |
Samples: minimum/maximum/maximum per hole | 1/12/3 |
Search (m): major/semimajor/minor (vertical) | 1 / 1 / 0.33 |
Inverse distance power | 3 |
High-grade restrictions (grade in oz Au/ton, distance in ft) | 0.003 / 20 |
| 14.4.4 | Jasperoid Wash Gold Mineral Resources |
Mr. Lindholm reports mineral resources at cutoffs that are reasonable for Carlin-type deposits in Nevada, using expected mining and processing methods and current operating costs. Anticipated economic conditions are applied to satisfy regulatory requirements that a mineral resource exists “in such form and quantity and of such a grade or quality that it has reasonable prospects for eventual economic extraction.” Although the author of this section is not an expert with respect to environmental, permitting, legal, title, taxation, socio-economic, marketing, or political matters, the author is not aware of any unusual factors relating to these matters that may materially affect the Jasperoid Wash mineral resources as of the date of this Technical Report.
Mr. Lindholm classified the Jasperoid Wash mineral resources giving consideration to the confidence in the underlying database, sample integrity, analytical precision/reliability, QA/QC results, and confidence in geologic interpretations.
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Since there is a large amount of historical data, and because the geologic model is still evolving, all mineral resources at Jasperoid Wash were classified as Inferred.
For reporting, technical and economic factors likely to influence the “reasonable prospects for eventual economic extraction” were evaluated using the best judgement of the author responsible for this section of the report. For evaluating the open-pit potential, MDA modeled a series of optimized pits using variable gold prices, mining costs, processing costs, and anticipated metallurgical recoveries. MDA used costs appropriate for open-pit mining in Nevada, estimated processing costs and metallurgical recoveries related to heap leaching, and G&A costs. The cutoff grades are based on $1,750/oz Au.
The Jasperoid Wash reported mineral resource estimate is the block diluted ID estimate, comprised of ID3 estimates for outside and low-grade domains, and by ID2 for high-grade domains. The mineral resources are reported at a cutoff of 0.005 oz Au/ton for open-pit mining. Table 14-50 presents the estimate of the Inferred gold mineral resources at Jasperoid Wash. A representative cross section of the gold block model is shown in Figure 14-26.
Table 14-50: Jasperoid Wash Inferred Gold Mineral Resources
Cutoff | | | |
oz/ton Au | Tons | oz/ton Au | oz Au |
0.001 | 21,600,000 | 0.007 | 156,000 |
0.002 | 20,255,000 | 0.008 | 155,000 |
0.003 | 18,009,000 | 0.008 | 148,000 |
0.004 | 15,421,000 | 0.009 | 139,000 |
0.005 | 13,160,000 | 0.010 | 130,000 |
0.006 | 12,032,000 | 0.010 | 124,000 |
0.007 | 9,763,000 | 0.011 | 108,000 |
0.008 | 6,787,000 | 0.013 | 86,000 |
0.009 | 5,256,000 | 0.014 | 74,000 |
0.010 | 3,977,000 | 0.015 | 61,000 |
0.015 | 1,658,000 | 0.021 | 34,000 |
0.020 | 762,000 | 0.025 | 19,000 |
0.025 | 242,000 | 0.029 | 7,000 |
0.030 | 77,000 | 0.039 | 3,000 |
0.035 | 33,000 | 0.030 | 1,000 |
0.040 | 15,000 | 0.067 | 1,000 |
0.045 | 2,000 | 0.000 | - |
0.050 | - | 0.000 | - |
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Figure 14-26 Jasperoid Wash Gold Domains and Block Model – Section N14675822
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14.4.5 Jasperoid Wash Geo-Metallurgical Model
A cyanide-soluble gold block model was estimated using AuCN/AuFA ratios calculated from AuCN shaker test and total fire-assay gold assays. The AuCN/AuFA ratios are plotted in the CCP shown in Figure 14-27. Cyanide-soluble gold domains were interpreted on east-west cross sections spaced at 98.5 ft intervals. The percent reduced attribute in logged drill-hole data was used when no AuCN values were available. A cross section showing the cyanide-soluble gold domains is given in Figure 14-28.
Figure 14-27: Cumulative Probability Plot of Jasperoid Wash AuCN/AuFA Ratios
Only about 15% of all fire-assay gold values in the database have corresponding AuCN analyses. Of the samples with AuCN assays inside modeled AuCN/AuFA ratio domains, approximately 23% have AuCN analyses. Within the high-grade gold domain, which is a proxy for economic mineralization, 58% of the gold assays have corresponding AuCN analyses.
ID3 was used to estimate the ratios. Only AuCN/AuFA ratios for samples with fire-assay gold grades of ≥0.0015 oz Au/ton were used in the estimate. The AuCN/AuFA ratio block model is lower in confidence than the gold block model because no quality control or database auditing was done on the AuCN analyses, and due to the relatively few cyanide-shaker assays.
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Figure 14-28: Jasperoid Wash Deposit Rock Type and Metallurgical Models – Section N14675822
(Note: clay zones tend to follow faults and intrusives)
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Referencing criteria defined in Section 13, blocks with estimated AuCN/AuFA ratios of 70% or greater are considered to have relatively good recovery and are categorized as oxidized. Blocks with estimated AuCN/AuFA ratios of between 50 and 70% are categorized as transitional material and are considered to be moderately recoverable. Transitional and oxidized material are included in the reported mineral resources blocks, however, material with estimated AuCN/AuFA ratios of less than 50% are not sufficiently recoverable with cyanide processing to be reported.
Search ellipses, orientations, and distances similar to those used for the Jasperoid Wash gold block model were used to estimate the cyanide-soluble gold ratios. The geo-metallurgical model can only be considered preliminary and is not sufficiently reliable to be used for mineral reserves.
| 14.4.6 | Jasperoid Wash Clay Model |
Clay contents were logged in drill holes by Gold Standard and previous operators as intensities of 0 through 3, with 3 being the highest. Metallurgical test work indicates that material with high clay contents may require agglomeration. Gold Standard constructed a 3D solids model that delineates areas with a majority of samples with logged clay intensities of 2 and 3. The high-clay zones parallel the steeply dipping dikes and faults. Overall, this model is considered adequate for a geologically Inferred mineral resource, but confirmation of the clay geometries is needed for higher classification.
| 14.4.7 | Jasperoid Wash Density |
There were no density measurements available for Jasperoid Wash as of the effective date of the drill-hole database. Consequently, Mr. Lindholm assigned density values to the gold block model based on similar rock units with measurements at Dark Star. The values assigned to the units in the block model are presented in Table 14.51.
Table 14.51: Density Values Applied to the Jasperoid Wash Block Model
Formation | AuCN/AuFA Domain | Density (g/cm3) |
Tomera Fm eq. - Siltstone | In | 2.45 |
Out | 2.55 |
Tomera Fm eq. – Conglomerate | In | 2.5 |
Out | 2.55 |
Intrusive Rocks | In | 2.4 |
Out | 2.5 |
Tonka Fm – Conglomerate | Out | 2.5 |
Because clay alteration at Jasperoid Wash is locally strong and pervasive, the density values assigned according to Table 14.49 were reduced for blocks within the modeled high-clay zone solid. The densities of blocks at least 50% within the clay solid (Section 14.4.4) were modified by averaging the assigned value and a clay alteration density of 2.2 g/cm3.
| 14.4.8 | Discussion of Jasperoid Wash Estimated Mineral Resources |
The Inferred mineral resource classification reflects the current level of geologic understanding and support for Jasperoid Wash. It is likely, however, that the estimated mineral resources are fairly estimated in the area of relatively dense drilling. The deposit is open to the south, north and east, so additional drilling could increase the resources as currently stated. Plan versus sectional volumes and cumulative-probability and quantile plots comparing polygonal, inverse-distance, kriged, and nearest neighbor estimates indicate that the mineral resource estimation is reliable.
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There are a few risks in the mineral resource estimate that should be noted. The most significant involves the geologic model. The orientations and continuity of the dikes, and consequently clay alteration, are not well known. The ramification is that there could be additional costs associated with processing material with high clay contents. Other risks include the lack of density measurements and the low number of cyanide-soluble gold assays in the deposit.
There is the possibility of additional risk that has resulted from the conversion from metric to Imperial units of drill-hole collar coordinates. Gold Standard holes were surveyed in metric units, so the direct conversion of northings and eastings using a factor of 1 m = 3.280833333 ft maintained the spatial relationship between these drill-hole data and associated geology modeling, domains and block model, which were also converted using identical values. However, it is believed that some historical drill collars were originally surveyed in feet and later converted to metric. Comparisons of metric and Imperial coordinates in the collar tables received from Gold Standard indicate conversion factors were inconsistently applied. Because values of northings and eastings are so large, discrepancies up to 150 ft can result by application of conversion factors that differ in the fifth decimal place. The risks associated with such potential discrepancies have been accounted for in the classification all gold resources as Inferred. If higher classification is to be considered for future resource estimates at Jasperoid Wash, such potential discrepancies in areas relying predominantly on historical data should be considered.
Optimized pits increase in size incrementally with gold price, generally 1% to 8% for each $25 increase in price per ounce. A significant increase in contained ounces of gold occurs in the pit above a $1,725/oz gold price.
Figure 14-29 shows the pit surfaces within which mineral resources are reported and a grade shell of the Inferred mineral resources at a 0.004 oz Au/ton cutoff. The figure depicts the extent of mineralization below the optimized pits.
Figure 14-29: Jasperoid Wash Optimized Pits and Additional Mineralization
(gray and blue lines are drill holes; blue solid is the 0.004 oz Au/ton grade shell; orange surfaces are the reported mineral resource pit shells)
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A total of 31 additional drill holes (24,816 ft) were drilled at Jasperoid Wash after the effective date of the Jasperoid Wash mineral resource estimate. Three were core holes for 2,596 ft, and the remainder were RC for 22,220 ft. No auditing or QA/QC evaluations were done on this data set, and these holes have not been used to update the mineral resource estimate. Data for these holes were received in late 2018 and 2020 and evaluated for potential impacts on the reported mineral resource estimate.
Some of the post-2018 model drill holes located north and south of the current mineral resources would extend mineralization by about 330 ft to the south, 650 ft southeast and 820 ft north. Post-2018 drilling internal to the current block model substantially confirmed the current model and estimate, although some localized changes in gold domains would occur. It is interesting to note that two of the post-2018 core twins returned higher grades than their corresponding RC holes. The defined area of mineralization would be slightly larger if the post-2018 drilling was incorporated, but the resources reported in the optimized pit in this Technical Report would not be materially different.
| 14.5 | North Bullion Deposits Mineral Resources |
The North Bullion mineral resources are located within the North Railroad project, which is an extensive area that consists of several gold deposits at various stages of exploration and drilling. The terms “North Bullion deposits” and “North Bullion resources” refer to gold mineralization in the South Lodes (AREA code = 1), Sweet Hollow (AREA = 2,3), Sweet Hollow North (AREA = 4), North Bullion (AREA 5), North Bullion North (AREA = 6) and POD (AREA = 7) zones. Due to similarities in geometry of mineralization and location, South Lodes is commonly combined with the Sweet Hollow deposits for general discussion and statistics.
The North Bullion mineral resource estimate is based on drilling through September 15, 2017. The author completed an audit of the data on August 21, 2020, which is the effective date of the drill-hole database. Although the gold estimate was completed as of August 20, 2021, the effective date of the North Bullion mineral resource estimates is January 31, 2022 when optimized pit shells using the most current mining costs were generated. Gold resources are reported herein.
A total of 40 additional drill holes (15,548.5 ft) were drilled at North Bullion in 2019 and 2020. However, because of industry-wide delays due to COVID, final assays were not received until March of 2021, after the gold domain model had been completed. No auditing or QA/QC evaluations were done on this data set. The 2019-2020 holes were evaluated with respect to the reported mineral resource estimate, the impacts of which are described in Section 14.5.4.
| 14.5.1 | North Bullion Database |
Since 1969, 13 companies have conducted exploration drilling at North Bullion (Table 14.52 and Figure 14.30). Gold Standard began drilling in 2010. Of the known drilling types in the drill-hole database, 28 are core holes (10% of footage), 41 are RC holes (13% of footage), and 27 are RC holes with core tails (11.5% of footage) totaling 96 holes and 146,736 ft (Table 14.52 and Figure 14.30). The drilling type for 419 holes (277,609.8 ft, 65.5% of total footage), including 61 Gold Standard holes, is unknown or not documented in the database. However, 22 of the holes of unknown type have density measurements at regular intervals, suggesting these are core. There are no QA/QC data for the historical, pre-GSV holes, which currently represent 41.5% (175,743 ft) of the holes in the mineral resource database. Prior to 2000, drilling types are unknown for all drill holes except the single hole drilled by Newmont in 1995.
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Table 14.52: Summary of Drilling at North Bullion
Company | Year(s) | Type | Number | Total Feet |
Selco | 1969 | Unknown | 14 | 12,547.5 |
Placer Amex | 1972 | Unknown | 1 | 1,200 |
El Paso/LLE | 1973 - 1974 | Unknown | 5 | 2,864.5 |
AMAX | 1977 - 1980 | Unknown | 15 | 6,221 |
Homestake | 1980 - 1981 | Unknown | 22 | 5,788 |
Nicor | 1983 - 1988 | Unknown | 110 | 44,812 |
Westmont | 1989 - 1992 | Unknown | 73 | 27,943 |
Mirandor | 1996 - 1997 | Unknown | 42 | 18,160 |
Ramrod | 1994 | Unknown | 10 | 7,975 |
Newmont | 1995 | RC | 1 | 1,395 |
Kinross | 1998 - 1999 | Unknown | 65 | 42,465 |
Royal Standard | 2005 | RC | 7 | 1,760 |
2007 - 2008 | Core | 4 | 2,272 |
2005 - 2008 | Total | 11 | 4,032 |
Gold Standard | 2010 - 2017 | Core | 24 | 40,629 |
RC | 33 | 51,820.5 |
RC/Core Tail | 27 | 48,859.5 |
Unknown | 61 | 107,293.8 |
Total | 145 | 248,602.8 |
Unknown | Unknown | Unknown | 1 | 340 |
Total by Type | 1969 - 2017 | Core | 28 | 42,901 |
RC | 41 | 54,975.5 |
RC/Core Tail | 27 | 48,859.5 |
Unknown | 419 | 277,609.8 |
Grand Total | 1969 - 2017 | All | 515 | 424,345.8 |
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Figure 14.30: North Bullion Deposit Drill-hole Map and Mineral Resource Outline
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Descriptive statistics of all North Railroad drill-hole analytical data audited and imported into MineSight by MDA are summarized in Table 14.53. In all, there are 38 drill holes with density data, which is ~7% of all drill holes. All but three of the holes are well distributed throughout the North Bullion deposit. Only two holes at Sweet Hollow and one at South Lodes have density data, and none at POD have density measurements. No core recovery and RQD data were received from GSV.
Table 14.53: Descriptive Statistics of Sample Assays in North Bullion Mineral Resource Database
| Valid | Median | Mean | Std Dev | CV | Minimum | Maximum | Units |
FROM | 82,157 | | | | | 0.0 | 3623.0 | ft |
To | 82,157 | | | | | 2.0 | 3627.5 | ft |
Length | 82,157 | 5.0 | 5.2 | | | 0.1 | 760.0 | ft |
TYPE | 26992 | | | | | 1 | 7 | |
Au | 74274 | 0.0002 | 0.0035 | 0.0198 | 5.7048 | 0 | 1.1523 | oz Au/ton |
Ag | 69298 | 0.0102 | 0.0625 | 1.6063 | 25.7086 | 0 | 291.6900 | oz Ag/ton |
AuCN | 291 | 0.0010 | 0.0038 | 0.0154 | 4.0294 | 0 | 0.2240 | oz Au/ton |
Density | 1049 | 2.65 | 2.6549 | 0.2541 | 0.0957 | 1.63 | 7.76 | g/cm3 |
The North Bullion database contains 74,274 accepted gold assay records (Table 14.53). The total number of rejected gold assays is seven. These records from four holes drilled by Royal Standard were rejected because they are composited intervals with lengths up to 135 ft.
A total of 66,967 of the accepted gold assay samples in the database have silver values, but 19,246 of these are values of “0”, which could be below detection limit assays. Subtracting these zero-value assays, only 47,721 (64%) have silver values that are above detection limits. Similarly, 291 sample intervals with gold analyses had values for AuCN. Of these, 143 were values of zero, leaving only 148 (0.2 %) with values above detection in 12 holes.
Available collar locations, downhole survey data, and gold analyses, primarily for Gold Standard data, were audited for verification purposes as described in Section 12. The database also contains logged geologic features, including rock types, formations, faults, vein type, silicification, clay, dolomite, limonite, hematite, carbonate, sulfide percent, and percent reduced (unoxidized), all of which were imported. The logged geology was reviewed and used in modeling the geology and gold domains.
| 14.5.2 | North Bullion Geologic Model |
Gold Standard provided geologic interpretations and faults and formation contacts as surfaces, and a refractory solid. All geologic surfaces and solids were initially interpreted by Gold Standard on north-south cross-sections by use of surface maps and downhole drill data. MDA expanded the fault and formation surfaces into areas between deposits to cover the entire block model area. To accomplish this, Gold Standard’s surfaces were sliced and modeled on northwest-oriented sections, then new surfaces were made. Because the sectional polygons were snapped to drill holes in three dimensions, the proper drill-hole intercepts were honored by the surfaces. Finally, MDA combined the new upper and lower geologic rock unit and fault surfaces to produce geologic formation solids for coding the block model. The new sections, surfaces and solids were provided to Gold Standard for review, and when areas of disagreement were encountered, MDA worked with Gold Standard geologists to produce a coherent, agreed upon geologic model.
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Coded formation units include the Mississippian Chainman Formation and Webb/Tripon Pass Formations, which are predominantly clastic sediments (although the Tripon Pass Formation is a silty micrite). The solid representing the Devonian Devil’s Gate Limestone includes Sentinel Mountain Dolomite and upper Nevada Group rocks. Similarly, the Devonian Oxyoke Formation solid (calcareous sandstones) contains units form the lower Nevada Group. Tertiary units include the Elko Formation (conglomerate), Indian Well Formation (tuffaceous units), and Bullion stock intrusive body. Quaternary colluvium occurs locally in the model, and surfaces modeled by Gold Standard were snapped to drill holes and made into solids. The Webb and Tripon Pass Formations are the primary hosts for gold, although some mineralization extends upward into Chainman Formation, such as the POD deposit, and below into Devil’s Gate Limestone. All geologic interpretations, in combination with assays and logged data, were used to guide gold domain modeling.
The refractory solid was reviewed on section with logged drill hole data, including limonite, hematite, redox percent and sulfide percent. In general, the modeled solid was determined to be a reasonable representation of refractory material, and correlates to redox percent ≥50%. Some internal predominantly oxide material was noted within the solid, and some predominantly reduced material was outside the solid, but the majority of the data is properly honored. Solid boundaries also appear to be properly snapped to respective drill-hole intercepts in three dimensions. The only modifications made by MDA were to repair self-intersecting polygons resulting from verification errors, and removal of internal spikes that Gold Standard determined were introduced during solid construction.
| 14.5.3 | North Bullion Gold Domains and Estimation |
| 14.5.3.1 | Gold Domain Model |
Gold domains based on sample assay ranges were interpreted on sections spaced 98.5 ft apart, oriented N40°E and looking northwest. The section orientation was chosen to be perpendicular to the overall strike of stratigraphy and mineralization, which are dipping ~15° to the northeast. Local dips can vary from moderately southwest to moderately northeast, however, stepped fault offsets keep the overall dip at about 15° to the northeast. The POD mineralization is on the same strike but dips ~70° northeast. Domains were defined based on population breaks on CPP’s made for gold data by deposit (Figure 14.31, Figure 14.32 and Figure 14.33). The domain grade ranges were originally determined using assay data in g Au/t, and converted to oz Au/ton. The CPP’s were remade to reflect Imperial units, but some of the grade breaks apparent on the metric chart were not as readily apparent on the Imperial chart. The lower limit of the low-grade gold domains does not plot on the CPP’s because the level of precision of the statistical package used is only three decimal places. Grade ranges converted from those originally determined in metric units were retained (Table 14.54), and used for modeling gold domains. Descriptive statistics of assays by the modeled domains are presented in Table 14.55.
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Figure 14.31: Cumulative Probability Plot of North Bullion Gold Assays
Figure 14.32: Cumulative Probability Plot of Sweet Hollow Gold Assays
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Figure 14.33: Cumulative Probability Plot of POD Gold Assays
Table 14.54: Modeled Gold Domain Grade Ranges, North Bullion Deposits
| Gold Domain |
Deposit | Low-Grade | Mid-Grade | High-Grade |
North Bullion | 0.0006 to 0.0044 | 0.0044 to 0.0437 | >0.0437 |
Sweet Hollow, South Lodes | 0.0006 to 0.0073 | 0.0073 to 0.0437 | >0.0437 |
POD | 0.001 to 0.0088 | 0.0088 to 0.0277 | >0.0277 |
Grade ranges in oz Au/ton |
Table 14.55: North Bullion Descriptive Statistics by Gold Domain
Low-Grade Gold Domain |
| Valid | Median | Mean | Std. Dev. | CV | Minimum | Maximum | Units |
From | 11,385 | | | | | 0 | 2720.0 | ft |
To | 11,385 | | | | | 5.0 | 2728.0 | ft |
Length | 11,385 | 5.0 | 4.8 | | | 0.5 | 555.0 | ft |
TYPE | 11,385 | | | | | 1 | 7 | |
Au | 10,994 | 0.0016 | 0.0024 | 0.0032 | 1.3337 | 0 | 0.1803 | oz Au/ton |
Au capped | 10,994 | 0.0016 | 0.0024 | 0.0025 | 1.0611 | 0 | 0.0384 | oz Au/ton |
AuCN | 85 | 0.0010 | 0.0017 | 0.0027 | 1.6011 | 0 | 0.0180 | oz Au/ton |
AuCN/AuFA ratio | 52 | 50.0 | 47.6 | 20.5 | 0.4 | 11.0 | 83.0 | % |
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Mid-Grade Gold Domain |
| Valid | Median | Mean | Std. Dev. | CV | Minimum | Maximum | Units |
From | 5,266 | | | | | 0 | 2232.0 | ft |
To | 5,266 | | | | | 5.0 | 2237.5 | ft |
Length | 5,266 | 5.0 | 4.6 | | | 0.5 | 11.0 | ft |
TYPE | 1,831 | | | | | 1 | 0 | % |
Au | 5,188 | 0.0100 | 0.0130 | 0.0106 | 0.8151 | 0 | 0.1301 | oz Au/ton |
Au capped | 5,188 | 0.0100 | 0.0130 | 0.0106 | 0.8151 | 0 | 0.1301 | oz Au/ton |
AuCN | 16 | 0.0030 | 0.0080 | 0.0081 | 1.0093 | 0 | 0.0250 | oz Au/ton |
AuCN/AuFA ratio | 16 | 32.0 | 52.6 | 33.3 | 0.6 | 11.0 | 107.0 | % |
High-Grade Gold Domain |
| Valid | Median | Mean | Std. Dev. | CV | Minimum | Maximum | Units |
From | 1,410 | | | | | 10 | 1950.0 | ft |
To | 1,410 | | | | | 15.0 | 1952.0 | ft |
Length | 1,410 | 5.0 | 4.7 | | | 0.4 | 11.0 | ft |
TYPE | 547 | | | | | 1 | 7 | 0 |
Au | 1,403 | 0.0604 | 0.0926 | 0.0974 | 1.0512 | 0 | 0.8806 | oz Au/ton |
Au capped | 1,403 | 0.0604 | 0.0926 | 0.0974 | 1.0512 | 0 | 0.8806 | oz Au/ton |
AuCN | 0 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0 | 0.0000 | oz Au/ton |
AuCN/AuFA ratio | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | % |
Outside Modeled Gold Domains |
| Valid | Median | Mean | Std. Dev. | CV | Minimum | Maximum | Units |
From | 64,096 | | | | | 0 | 3623.0 | ft |
To | 64,096 | | | | | 2.0 | 3627.5 | ft |
Length | 64,096 | 5.0 | 5.3 | | | 0.1 | 760.0 | ft |
TYPE | 20,753 | | | | | 1 | 7 | 0 |
Au | 56,689 | 0.0002 | 0.0006 | 0.0074 | 12.1937 | 0 | 1.1523 | oz Au/ton |
Au capped | 56,689 | 0.0002 | 0.0004 | 0.0010 | 2.2970 | 0 | 0.0180 | oz Au/ton |
AuCN | 190 | 0.0000 | 0.0044 | 0.0188 | 4.2393 | 0 | 0.2240 | oz Au/ton |
AuCN/AuFA ratio | 80 | 74.0 | 109.1 | 91.7 | 0.8 | 1.0 | 253.0 | % |
During a site visit in July 2020, Mr. Lindholm reviewed core from RR12-01A and RR13-08 from the North Bullion deposit, and RR10-12 from POD. As with Gold Standard’s more advanced projects, an effort was made to determine the geologic characteristics of each domain. Gold Standard staff geologists provided guidance and expertise with respect to the geology of the deposits and the nature of gold mineralization. The following characteristics were observed with respect to gold domains, and mineralization in general:
| · | The Mississippian-age Tripon Pass and Web formations are the primary hosts for mineralization. Overlying Mississippian Chainman Formation and underlying Devonian Devil’s Gate Limestone are mineralized as well, but to a lesser degree. |
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| · | As with Carlin-Type deposits in general, the geologic characteristics associated with grade domains are not always readily apparent. Transitions between low-, mid- and high-grade domains can take place with no macroscopic change in alteration, veining or mineralogy. |
| · | There is an association between higher gold grades and increased silicification, which is weak to moderate at best. Higher gold grades are also associated with carbonaceous material, decalcification, sooty and clotty sulfides, barite, quartz vein and breccia, crackle breccias, and especially multi-lithic breccia. Silica flooding and multi-lithic breccia development seem to be important. |
| · | Gougy material and rubblized core often contain high to very high grades. |
| · | Sulfides are not always visible, but their presence is indicated by iron sulfates in older core. |
| · | In RR12-01A, mid-grade domain assays are associated with non-descript mudstone and sandstone, rubbly core, little silicification, but has locally abundant sooty and clotty pyrite in 0.5 to 2 ft intervals. Deeper mid- grade mineralization occurs with weak to moderate silicification in siltier and sandier rock that contains almost no calcite. Crackle breccia is ubiquitous, and there are only local concentrations of pyrite in breccias with quartz veins. |
| · | In RR12-01A, the high-grade domain mineralization occurs as very soft black carbonaceous mudstone with slickensides in hydrothermal graphite. It also contains abundant realgar and orpiment with calcite in veins, and silicification is weak to absent. |
| · | In the POD core hole, pyrite appears to be more abundant in higher-grade zones than in the North Bullion deposit. |
| · | Mid-grade domain assays in the POD hole occur in carbonaceous, soft, rubbly core that contains some sooty pyrite. Higher grades are associated with black fine- to coarse-grained sandstone with weak and some moderate silicification. Sooty sulfides and barite are present. |
| · | In carbonate units, black rock with no limestone textures can be mineralized. Vuggy carbonate rocks with calcite veins and more recognizable limestone colors and textures are generally unmineralized. |
To summarize, gold mineralization increases with increasing sulfide content, breccia development and porosity. More favorable porosity is inherent in coarser-grained sedimentary lithologies or developed by structural preparation and/or decalcification. Structural preparation ranges from localized fractures to wider gouge zones, and to broad zones of fractures and stockwork breccias.
The overall geometry of the North Bullion deposit is stratiform mineralization bounded by horst faults. The horst block is defined on the northwest side by the northeast-striking Northeast fault, and on the southeast side by the north-striking North Bullion Corridor fault. Within the horst is the north-striking Massif fault, which has reverse offset at the north end and normal offset to the south. The relationship between gold mineralization and major faults mapped on the surface or interpreted on section is not well understood. As at Dark Star, the primary horst-bounding faults appear to define the boundaries between strongly mineralized and weak to unmineralized zones, but there is no indication that mineralization occurs within the faults. The only exception is the Massif fault, where high-grade mineralization appears to be centered on, as well as offset by the fault.
The mineralization in Sweet Hollow and South Lodes is stratiform, and offset by various faults. POD mineralization is more steeply dipping, and occurs within the Chainman Formation, unlike the other deposits, which are hosted primarily by the Tripon Pass and Webb Formations. The contrary orientation and host unit is not fully understood. However, Gold Standard has modeled the POD South fault in the footwall of mineralization as a possible explanation. No offset of stratigraphy was noted across this fault by MDA.
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As noted in the previous section, geologic logging and interpretations, along with observations of core directly or in photos, were used to guide mineral-domain modeling. Mineral domains were generally drawn parallel to stratigraphic contacts, per guidance from Gold Standard. Gold domains were offset across faults according to sense-of-movement indicated by Gold Standard interpretations. Schematic cross sections in the North Bullion, Sweet Hollow and POD deposits are given in Figure 14.34, Figure 14.35 and Figure 14.36, respectively. After sectional interpretations were completed, gold domains were snapped to drill holes in three dimensions and modeled to 10 ft-spaced long sections located at each mid-block plane in the block model.
Figure 14.34: North Bullion Deposit Gold Domains and Geology – Section NW3447.5
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Figure 14.35: Sweet Hollow and South Lodes Deposits Gold Domains and Geology – Section NW1773.0
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Figure 14.36: POD Deposit Gold Domains and Geology – Section NW3053.5
| 14.5.3.2 | Gold Composites Statistics and Capping |
The modeled gold mineral domains were used to assign codes to drill-hole samples. Quantile plots were made of the coded assays. Potential capping levels for each domain were assessed by identifying the grade above which outlier values occur. Applied capping grades (Table 14.56) were then determined after reviewing the outlier samples on screen with respect to grade and proximity of surrounding samples, geology, general location, and materiality. Descriptive statistics of sample assays by domain were also considered to evaluate the necessity for capping of assays (Table 14.53).
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Table 14.56: North Bullion Capping Levels for Gold by Domain
| Gold Domain Capping Grade (oz Au/ton) |
Deposit | Low-Grade | Mid-Grade | High-Grade | Outside Modeled Gold Domains |
North Bullion | 0.050 | N/A | N/A | 0.010 |
Sweet Hollow, South Lodes | 0.035 | N/A | N/A | 0.018 |
POD | N/A | N/A | N/A | 0.010 |
Once the capping was completed, the drill holes were down-hole composited to 10 ft intervals honoring domain boundaries. The 10 ft length was chosen to avoid de-compositing small fractions of the original 5 ft drilled sample intervals, which represent the vast majority of the sample lengths. Descriptive statistics by domain of the composited database are given in Table 14.57.
Table 14.57: North Bullion Descriptive Composite Statistics by Domain
Low-Grade Gold Domain |
| Valid | Median | Mean | Std. Dev. | CV | Minimum | Maximum | Units |
Length | 5,768 | 10.00 | 9.05 | | | 0 | 10 | ft |
Au | 5,710 | 0.0018 | 0.0024 | 0.0025 | 1.0311 | 0 | 0.0907 | oz Au/ton |
Au capped | 5,710 | 0.0018 | 0.0024 | 0.0021 | 0.8688 | 0 | 0.0235 | oz Au/ton |
AuCN | 64 | 0.0010 | 0.0016 | 0.0024 | 1.4412 | 0 | 0.0140 | oz Au/ton |
AuCN/AuFA ratio | 40 | 50.0 | 47.7 | 20.4 | 0.4 | 14.0 | 83.0 | % |
Mid-Grade Gold Domain |
| Valid | Median | Mean | Std. Dev. | CV | Minimum | Maximum | Units |
Length | 2,650 | 10.00 | 9.11 | 0 | 0 | 0 | 10 | ft |
Au | 2,647 | 0.0105 | 0.0130 | 0.0087 | 0.6663 | 0 | 0.0716 | oz Au/ton |
Au capped | 2,647 | 0.0105 | 0.0130 | 0.0087 | 0.6663 | 0 | 0.0716 | oz Au/ton |
AuCN | 10 | 0.0030 | 0.0073 | 0.0064 | 0.8797 | 0 | 0.0185 | oz Au/ton |
AuCN/AuFA ratio | 10 | 31.0 | 51.9 | 34.1 | 0.7 | 11.0 | 96.0 | % |
High-Grade Gold Domain |
| Valid | Median | Mean | Std. Dev. | CV | Minimum | Maximum | Units |
Length | 709 | 10.00 | 9.24 | 0 | 0 | 1 | 10 | ft |
Au | 709 | 0.0606 | 0.0908 | 0.0838 | 0.9228 | 0 | 0.6401 | oz Au/ton |
Au capped | 709 | 0.0606 | 0.0908 | 0.0838 | 0.9228 | 0 | 0.6401 | oz Au/ton |
AuCN | 0 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0 | 0.0000 | oz Au/ton |
AuCN/AuFA ratio | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | % |
Outside Modeled Gold Domains |
| Valid | Median | Mean | Std. Dev. | CV | Minimum | Maximum | Units |
Length | 33,803 | 10.00 | 8.53 | 0 | 0 | 0 | 10 | ft |
Au | 31,354 | 0.0002 | 0.0006 | 0.0057 | 9.9995 | 0 | 0.5827 | oz Au/ton |
Au capped | 31,354 | 0.0002 | 0.0004 | 0.0009 | 2.0633 | 0 | 0.0180 | oz Au/ton |
AuCN | 163 | 0.0000 | 0.0037 | 0.0188 | 5.1069 | 0 | 0.2240 | oz Au/ton |
AuCN/AuFA ratio | 63 | 78.0 | 124.3 | 96.2 | 0.8 | 2.0 | 253.0 | % |
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Correlograms were generated from the composited gold grades to evaluate grade continuity. Correlogram parameters were determined and applied to the kriged estimate, against which the reported inverse distance estimate was compared. The evaluated continuity of grade also contributed to classification of mineral resources. The correlogram results by domain are summarized as in Table 14.58.
Table 14.58: North Bullion Kriging Parameters by Domain
| North Bullion | Sweet Hollow | POD |
Kriging Parameter | LG | MG | HG | LG | MG | HG | LG | MG | HG |
Nugget | 0.5 | 0.6 | 0.7 | 0.6 | 0.5 | 0.3 | 0.5 | 0.9 | 0.7 |
First Sill | 0.4 | 0.2 | 0.2 | 0.4 | 0.4 | 0.2 | 0.1 | 0.1 | 0.2 |
First major range (ft) | 100 | 30 | 40 | 70 | 50 | 40 | 120 | 20 | 40 |
First semi-major range (ft) | 80 | 20 | 30 | 50 | 20 | 20 | 130 | 50 | 70 |
First minor range (ft) | 130 | 110 | 70 | 55 | 75 | 45 | 200 | 50 | 50 |
Second sill | 0.2 | 0.3 | 0.2 | 0.1 | 0.2 | 0.5 | 0.4 | 0.1 | 0.2 |
Second major range (ft) | 1,000 | 125 | 95 | 270 | 170 | 240 | 200 | 130 | 80 |
Second semi-major range (ft) | 1,000 | 95 | 115 | 240 | 250 | 220 | 240 | 160 | 130 |
Second minor range (ft) | 1,000 | 120 | 70 | 180 | 85 | 80 | 210 | 170 | 80 |
Gold Domains: LG - Low-grade; MG - Mid-grade; HG - High-grade |
The mineral resource block model is rotated to 310°, and the block dimensions are 10 ft by 10 ft by 10 ft. The small block size was utilized in order to evaluate underground-mineable potential of the resources. For open pit evaluation, the model was re-blocked using MineSight’s MSDART software to 30 ft by 30 ft by 30 ft blocks. Four gold estimates were completed for each of the three deposit areas: a polygonal, nearest neighbor, inverse distance, and kriged, with the inverse-distance estimate being reported. All the estimates, excluding the polygonal, were run several times in order to determine sensitivity to estimation parameters, and to evaluate and optimize results. The inverse distance power was three (“ID3”) in modeled domains. The model was divided into eight estimation areas (“ESTAR”) to control search anisotropy, orientation, and distances according to the differing geometries of mineralization in each area during estimation. Table 14.59 summarizes the estimation areas associated search orientations and maximum search distances by domain. Figure 14.37 depicts the spatial relationship of the estimation areas to the deposit areas, gold domains and drilling. ESTAR 4 is the background estimation area and is not shown as a solid.
Table 14.59: North Bullion Estimation Areas, Search-Ellipse Orientations and Maximum Search Distances by Domain
Estimation Area | Search Ellipse Orientation | Maximum Search Distance (ft) |
Azimuth (degrees) | Dip (degrees) | Rotation (degrees) | Low- Grade | Mid- Grade | High- Grade | Outside Domains |
1 | 5 | 0 | 30 | 810 | 600 | 400 | 160 |
2 | 0 | 0 | 10 | 810 | 600 | 400 | 160 |
3 | 45 | 0 | 10 | 810 | 600 | 400 | 160 |
4 | 5 | 0 | -10 | 810 | 600 | 600 | 160 |
5 | 5 | 0 | -30 | 810 | 600 | 400 | 160 |
6 | -30 | 0 | -40 | 810 | 600 | 400 | 160 |
7 | 10 | 0 | -50 | 810 | 600 | 400 | 160 |
8 | -5 | 0 | -55 | 810 | 600 | 400 | 160 |
Notes: ESTAR 4 is background. Semi-major search distance = major search distance. The vertical search distance in the low-grade domain = major search distance ÷ 3. The vertical search distance in the mid- and high- grade domains = major search distance ÷ 4. |
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Figure 14.37: Spatial Relationship Between North Bullion Deposits, Estimation Areas, Gold Domains and Drill Holes
(Non-transparent solids are estimation areas labeled with white numbers, transparent solids denote deposit areas)
One estimation pass was run for each domain, up to a maximum anisotropic search distance of 810 ft along the major axis. Search ellipse anisotropy varies from 1:1:4 to 1:2:4 (major versus semi-major versus minor axes). Composite- length weighting was applied to all estimation runs. Estimation parameters for each domain are given in Table 14.60.
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Table 14.60: North Bullion Estimation Parameters
(for search orientations and maximum distances, see Table 14.59)
Description | Parameter |
Low-Grade Gold Domain |
Samples: minimum/maximum/maximum per hole | 1 / 12 / 3 |
Search anisotropies (ft): major/semimajor/minor (vertical) | 1 / 1 / 0.33 |
Inverse distance power | 3 |
High-grade restrictions (grade in oz Au/ton, distance in ft) | AREA 5, ESTAR 7 only - 0.007 / 405 |
Mid-Grade Gold Domain |
Samples: minimum/maximum/maximum per hole | 1 / 12 / 3 |
Search anisotropies (ft): major/semimajor/minor (vertical) | 1 / 1 / 0.25 |
Inverse distance power | 3 |
High-grade restrictions (grade in oz Au/ton, distance in ft) | Sweet Hollow, South Lodes - 0.080 / 50 North Bullion Main and North - 0.040 / 450 POD - 0.050 / 100 |
High-Grade Gold Domain |
Samples: minimum/maximum/maximum per hole | 1 / 9 / 3 |
Search anisotropies (ft): major/semimajor/minor (vertical) | 1 / 1 / 0.25* |
Inverse distance power | 3 |
High-grade restrictions (grade in oz Au/ton, distance in ft) | Sweet Hollow, South Lodes - 0.060 / 0.75 * max distance North Bullion Main and North - 0.400 / 0.5 * max distance |
Outside Modeled Gold Domains |
Samples: minimum/maximum/maximum per hole | 2 / 12 / 3 |
Search anisotropies (ft): major/semimajor/minor (vertical) | 1 / 1 / 0.25 |
Inverse distance power | 2 |
High-grade restrictions (grade in oz Au/ton, distance in ft) | 0.004 / 40 |
* - Exception: AREA 5, ESTAR 4 major to vertical axis search anisotropy is 0.33 |
14.5.4 | North Bullion Gold Mineral Resources |
The North Bullion mineral resources are classified entirely as Inferred by Mr. Lindholm. The limited metallurgical studies and cyanide-leach assays, and the predominantly refractory nature of the majority of the deposits precluded higher classification. Also taken into consideration were confidence in the underlying database, sample integrity, analytical precision/reliability, QA/QC results, and confidence in geologic interpretations. Classification parameters are given in Table 14.61.
Table 14.61: North Bullion Classification Parameters
Inferred |
In modeled domain; Or |
All estimated blocks outside modeled domains, and isotropic distance ≤ 60 ft* |
*A strong search restriction on composites ≥0.004 oz Au/ton within 40 ft was applied |
Although adequate paper copy certificates were available to successfully audit the historical drill-hole data, there is insufficient information that would allow an evaluation of historical QA/QC data. This poses a moderate level of risk for the historical assays. Consequently, the reliability of pre-Gold Standard data, and therefore model block grades derived predominantly from historical data, is diminished and would support a modest reduction in classification, if higher classification is warranted in the future. This reduction would be applied primarily to the Sweet Hollow, POD and South Lodes deposits, where the majority of drilling is historical. North Bullion drilling was predominantly done by Gold Standard.
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Forty drill holes (15,548.5 ft) were drilled at North Bullion in 2019-2020. However, because of industry-wide delays due to COVID, final assays were not received until March of 2021, after the gold domain model had been completed. No auditing or QA/QC evaluations were done on this data set. The 2019-2020 holes were evaluated with respect to the reported mineral resource estimate, and potential impacts are summarized as follows:
| ● | All 2019-2020 holes are located in Sweet Hollow, the South Lodes, or out of modeled areas. |
| ● | None would decrease the amount of gold ounces in the resource, or cause contractions in optimized pits. |
| ● | Ten of the 2019-2020 holes were outside modeled domain areas. |
| ● | Twenty-five 2019-2020 holes would cause no significant changes, which would manifest as minor changes in length and/or widths of domains. Only small, incremental localized changes to resources would potentially occur. |
| ● | Five of the 2019-2020 holes could cause moderate changes to gold estimates locally, but would not likely cause expansions to optimized pits. |
| ● | Three of the five holes are in the South Lodes area near surface, and would widen low-, mid- and/or high- grade domains near surface, and/or increase grade locally. These are tempered by nearby drill holes, so increases of resources within a possible pit would be limited. Pit limits would not be affected. |
| ● | The other two of the five holes are in Sweet Hollow Main. One would extend and widen low- and mid-grade domains, and the other might add two high grade pods. Intercepts are 100ft to 200ft deep, and would not likely deepen a potential pit. One is tempered by surrounding drill holes that would limit the increase in grade and ounces. |
There were inconsistencies between logged formation in the drill-hole database and 3D solids received from GSV. Also, data in adjacent drill holes was commonly conflicting. Many faults as received from Gold Standard did not demonstrate offset that could be determined in geologic modeling. The ramifications of these discrepancies to the gold resources are minor and would only affect grades and calculated tons locally.
Mr. Lindholm reports the North Bullion mineral resources at cutoffs that are reasonable for Carlin-type deposits of comparable size and grade. Technical and economic factors likely to influence the requirement “in such form and quantity and of such a grade or quality that it has reasonable prospects for eventual economic extraction” were evaluated using the best judgement of the author responsible for this section of the report. For evaluating the open-pit and underground potential, MDA modeled a series of optimizations using variable gold prices, mining costs, processing costs, and anticipated metallurgical recoveries. MDA used costs appropriate for open-pit and underground mining in Nevada, estimated processing costs and metallurgical recoveries related to heap leaching and milling, and G&A costs. The factors used in defining cutoff grades are based on a gold price of $1,750/oz.
The North Bullion mineral resource estimate is the fully block diluted ID3 estimate and is reported at variable cutoffs for open-pit and underground mining. The cutoff for oxidized and transitional material in open pits is 0.005 oz Au/ton, whereas the cutoff for sulfide material is 0.045 oz Au/ton. Underground resources were reported at a cutoff grade of 0.1 oz Au/ton for refractory material. Table 14.62 through Table 14.66 present the estimates of the Inferred gold mineral resources within the $1,750/oz Au pit and underground shells. The breakdown of mineral resources by oxidation state is given in Appendix C. Representative cross sections of the gold block model in the North Bullion, Sweet Hollow/South Lodes and POD deposits are given in Figure 14.38, Figure 14.39 and Figure 14.40, respectively. Mineral resources that are not mineral reserves do not have demonstrated economic viability.
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Table 14.62: North Bullion Inferred Gold Mineral Resources – Open Pit
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 20,230,000 | 0.024 | 483,000 |
0.002 | 15,955,000 | 0.030 | 477,000 |
0.003 | 13,563,000 | 0.035 | 472,000 |
0.004 | 12,712,000 | 0.037 | 469,000 |
0.005 | 12,139,000 | 0.038 | 465,000 |
0.006 | 11,482,000 | 0.040 | 462,000 |
0.007 | 10,723,000 | 0.043 | 457,000 |
0.008 | 9,915,000 | 0.045 | 451,000 |
0.009 | 9,023,000 | 0.049 | 443,000 |
0.010 | 8,148,000 | 0.054 | 436,000 |
0.015 | 5,675,000 | 0.071 | 405,000 |
0.020 | 4,529,000 | 0.085 | 386,000 |
0.025 | 4,050,000 | 0.093 | 375,000 |
0.030 | 3,780,000 | 0.097 | 368,000 |
0.035 | 3,547,000 | 0.101 | 360,000 |
0.040 | 3,350,000 | 0.105 | 353,000 |
variable | 3,214,000 | 0.107 | 345,000 |
0.045 | 3,140,000 | 0.110 | 344,000 |
0.050 | 2,936,000 | 0.114 | 334,000 |
0.100 | 1,100,000 | 0.187 | 206,000 |
Table 14.63: North Bullion Inferred Gold Mineral Resources – Underground
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.010 | 504,000 | 0.131 | 66,000 |
0.020 | 504,000 | 0.131 | 66,000 |
0.030 | 504,000 | 0.131 | 66,000 |
0.040 | 504,000 | 0.131 | 66,000 |
0.050 | 504,000 | 0.131 | 66,000 |
0.060 | 504,000 | 0.131 | 66,000 |
0.070 | 504,000 | 0.131 | 66,000 |
0.080 | 504,000 | 0.131 | 66,000 |
0.090 | 504,000 | 0.131 | 66,000 |
0.100 | 504,000 | 0.131 | 66,000 |
0.140 | 130,000 | 0.179 | 23,000 |
0.190 | 38,000 | 0.228 | 9,000 |
0.240 | 10,000 | 0.284 | 3,000 |
0.290 | 4,000 | 0.319 | 1,000 |
0.340 | 1,000 | 0.356 | - |
0.000 | - | 0.000 | - |
0.000 | - | 0.000 | - |
0.000 | - | 0.000 | - |
0.000 | - | 0.000 | - |
0.000 | - | 0.000 | - |
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Table 14.64: Sweet Hollow Inferred Gold Mineral Resources – Open Pit
Cutoff | | | |
oz/ton Au | Tons | oz/ton Au | oz Au |
0.001 | 5,273,000 | 0.010 | 52,000 |
0.002 | 4,593,000 | 0.011 | 51,000 |
0.003 | 4,074,000 | 0.012 | 50,000 |
0.004 | 3,433,000 | 0.014 | 48,000 |
0.005 | 2,951,000 | 0.016 | 46,000 |
variable | 2,884,000 | 0.016 | 45,000 |
0.006 | 2,673,000 | 0.016 | 44,000 |
0.007 | 2,504,000 | 0.017 | 43,000 |
0.008 | 2,318,000 | 0.018 | 42,000 |
0.009 | 2,121,000 | 0.019 | 40,000 |
0.010 | 1,901,000 | 0.020 | 38,000 |
0.015 | 922,000 | 0.028 | 26,000 |
0.020 | 502,000 | 0.036 | 18,000 |
0.025 | 313,000 | 0.045 | 14,000 |
0.030 | 212,000 | 0.057 | 12,000 |
0.035 | 157,000 | 0.064 | 10,000 |
0.040 | 126,000 | 0.071 | 9,000 |
0.045 | 106,000 | 0.075 | 8,000 |
0.050 | 89,000 | 0.079 | 7,000 |
0.100 | 14,000 | 0.143 | 2,000 |
Table 14.65: POD Inferred Gold Mineral Resources – Open Pit
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 2,287,000 | 0.041 | 94,000 |
0.002 | 2,035,000 | 0.046 | 94,000 |
0.003 | 1,890,000 | 0.049 | 93,000 |
0.004 | 1,790,000 | 0.052 | 93,000 |
0.005 | 1,716,000 | 0.054 | 93,000 |
0.006 | 1,657,000 | 0.056 | 93,000 |
0.007 | 1,610,000 | 0.058 | 93,000 |
0.008 | 1,569,000 | 0.059 | 92,000 |
0.009 | 1,520,000 | 0.061 | 92,000 |
0.010 | 1,478,000 | 0.062 | 91,000 |
0.015 | 1,164,000 | 0.075 | 87,000 |
variable | 1,459,000 | 0.060 | 87,000 |
0.020 | 973,000 | 0.086 | 84,000 |
0.025 | 888,000 | 0.091 | 81,000 |
0.030 | 852,000 | 0.095 | 81,000 |
0.035 | 809,000 | 0.099 | 80,000 |
0.040 | 744,000 | 0.103 | 77,000 |
0.045 | 677,000 | 0.109 | 74,000 |
0.050 | 624,000 | 0.115 | 72,000 |
0.100 | 292,000 | 0.164 | 48,000 |
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Table 14.66: South Lodes Inferred Gold Mineral Resources – Open Pit
Cutoff | | | |
oz/ton Au | Tons | oz/ton Au | oz Au |
0.001 | 1,352,000 | 0.011 | 15,000 |
0.002 | 1,211,000 | 0.012 | 14,000 |
0.003 | 1,074,000 | 0.013 | 14,000 |
0.004 | 925,000 | 0.015 | 14,000 |
0.005 | 800,000 | 0.016 | 13,000 |
0.006 | 720,000 | 0.018 | 13,000 |
0.007 | 677,000 | 0.018 | 12,000 |
0.008 | 649,000 | 0.018 | 12,000 |
0.009 | 621,000 | 0.019 | 12,000 |
0.010 | 590,000 | 0.020 | 12,000 |
0.015 | 358,000 | 0.025 | 9,000 |
0.020 | 206,000 | 0.029 | 6,000 |
0.025 | 105,000 | 0.038 | 4,000 |
0.030 | 68,000 | 0.044 | 3,000 |
0.035 | 49,000 | 0.041 | 2,000 |
0.040 | 35,000 | 0.057 | 2,000 |
0.045 | 24,000 | 0.042 | 1,000 |
0.050 | 15,000 | 0.067 | 1,000 |
0.000 | - | - | - |
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Figure 14.38: North Bullion Deposit Gold Domains and Block Model – Section NW3447.5
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Figure 14.39: Sweet Hollow and South Lodes Deposits Gold Domains and Block Model – Section NW1773.0
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Figure 14.40: POD Deposit Gold Domains and Block Model – Section NW3053.5
14.5.5 | North Bullion Density |
Application of density values to the block model is dependent on numerous modeled criteria that have been discussed in various prior sections. There are 1,048 density measurements in the North Bullion database. All samples were measured using the immersion method by an independent laboratory. The values assigned to the model, by rock unit (Section 14.5.2), gold domains (Section 14.5.3.1), and refractory zone (Section 14.5.2), are summarized in Table 14.67. Spatially, the North Bullion deposit is well represented. However, there is density data from only two core holes at Sweet Hollow and one core hole at South Lodes. There is no density data from the POD deposit.
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Table 14.67: Density and Tonnage Factor Values Applied to the North Bullion Block Model
Formation | Gold Domain | Refractory Zone | Sample count | Density applied to model (g/cm3) | Tonnage Factor (ft3/ton) |
Dox - Oxyoke Fm | All | All | 34 | 2.71 | 11.83 |
Ddg - Devils Gate Limestone | LG, MG and HG | All | 352 | 2.73 | 11.74 |
Ddg - Devils Gate Limestone | OD | All | 55 | 2.80 | 11.45 |
Mtp - Tripon Pass and Mw - Webb Fm | All | oxide | 32 | 2.45 | 13.08 |
Mtp - Tripon Pass and Mw - Webb Fm | All | refractory | 272 | 2.64 | 12.14 |
Mc - Chainman Shale | OD and LG | All | 193 | 2.57 | 12.47 |
Mc - Chainman Shale | MG and HG | All | 66 | 2.65 | 12.09 |
Tiw - Indian Wells Tuffs and Sediments | All | All | 32 | 2.34 | 13.70 |
Te - Elko Fm | All | All | 12 | 2.42 | 13.23 |
Bullion Stock | N/A | N/A | 0 | 2.7 | 11.87 |
Qc - Colluvium | N/A | N/A | 0 | 1.9 | 16.87 |
Gold Domain acronyms: LG - low-grade, MG - mid-grade, HG - high-grade, OD - outside modeled domains |
Tonnage Factor = 2000 / (density * 62.4) |
In general, most formations that exist are well represented by density data. One exception is the Tertiary Elko Formation, for which there are only 12 measurements. There is no density data from the Tertiary Bullion Stock, so Gold Standard and MDA mutually agreed to apply a generalized average value for granodiorite. Quaternary colluvium also lacks density measurements at North Bullion, so the value used for the Pinion and Dark Star models was applied. As noted in Section 14.2.2, the Mississippian Tripon Pass Formation, which is primarily a micrite, and the Webb Formation, which consists of clastic sedimentary rocks, were modeled as a single unit. Because there are inherent differences in density for the two lithologic types, and these units are the primary host for mineralization at the North Bullion and Sweet Hollow deposits, there will be some risk associated with calculated tonnages for the units. Similarly, the Devonian Sentinel Mountain Dolomite and Upper Nevada Group rocks (also dolomite) are modeled with Devonian Devil’s Gate Limestone. However, these units are below nearly all gold mineralization, and therefore pose no risk to the estimation of the resources.
14.5.6 | Discussion of North Bullion Estimated Mineral Resources |
The North Bullion mineral resources are classified entirely as Inferred by Mr. Lindholm. The Inferred mineral resource classification reflects the current level of metallurgical testwork, density and geotechnical data, and QA/QC support for the North Bullion resources. It is likely, however, that the estimated mineral resources are reasonably estimated in the area of drilling. All checks, including volume comparisons, cumulative probability plots of inverse distance, kriged, and nearest neighbor estimates, indicate that the mineral resource is reliable. Optimized pits increase in size incrementally with gold price, generally 1% to 4% for each $25 increase in price per ounce. A significant increase in contained ounces of gold occurs at a $1,750/oz Au price, where the North Bullion deposit becomes viable via open pit at the applied parameters.
One of the most significant risks in this estimate is the lack of metallurgical testwork of the predominantly refractory mineralization. There is also little testwork characterizing the potential economic extractability of gold from oxide material. There are a few gold cyanide leach assays from a handful of drill holes, providing sparse data to suggest potential recovery rates for any of the North Bullion deposits.
Another risk is the absence of QA/QC data for historical drilling. Although most of the drilling in the North Bullion deposit was done by Gold Standard, the bulk of the drilling for Sweet Hollow, POD and South Lodes was done prior to Gold Standard. Additionally, no geotechnical data was received from Gold Standard, and the drill type for 419 of 515 drill holes in the database is unknown or not given.
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There is the possibility of additional risk that has resulted from the conversion from metric to Imperial units of drill-hole collar coordinates. Direct conversion of northings and eastings using a factor of 1 m = 3.280833333 ft was applied to all collar coordinates. Gold Standard holes were surveyed in metric units; however, it is believed that some historical drill collars were originally surveyed in feet and later converted to metric. Comparisons of metric and Imperial coordinates in the collar tables received from Gold Standard indicate conversion factors were inconsistently applied. Because values of northings and eastings are so large, discrepancies up to 150 ft can result by application of conversion factors that differ in the fifth decimal place. The risks associated with such potential discrepancies have been accounted for in the classification all gold resources as Inferred. If higher classification is to be considered for future resource estimates at North Bullion, such potential discrepancies in areas relying predominantly on historical data should be considered.
Although the North Bullion deposit is well represented, there is a minimal amount of density data in the Sweet Hollow, POD and South Lodes deposits. Most formations that exist in the block model are well represented by density data, however, only 12 measurements are available to characterize the Tertiary Elko Formation, and there is no density data from the Tertiary Bullion Stock and Quaternary colluvium. One potential risk exists because the Mississippian Tripon Pass and Webb Formations, which consist of micrite and clastic rocks, respectively, were modeled as a single unit. Because there are inherent differences in density for the two lithologic types, and these units are the primary host for mineralization at the North Bullion and Sweet Hollow deposits, there will be some risk associated with calculated tonnages for the units.
Forty drill holes (15,548 ft) were drilled at North Bullion in 2019-2020, but complete assays were not received until March of 2021, after the gold domain model had been completed. These holes were later compared to the 2021 domains. Thirty-five of these holes are likely to cause only minimal changes to gold domains. Of the remaining five, three the South Lodes area would widen low-, mid- and/or high-grade domains near surface, and/or increase grade locally. The other two holes are in Sweet Hollow, and might extend and widen low- and mid-grade domains, and possibly add two high grade pods. These intercepts, however, are 100ft to 200ft deep, and would not likely deepen a potential pit. It is important to note that any changes that would be caused by the 2019-2020 drilling would most likely manifest as local increases to the reported resource, and optimized pit limits are unlikely to be affected.
In addition to the mineral resources reported herein, there is mineralization that continues beyond, and is contiguous with the reported mineral resources. The reported mineral resource estimate is constrained by pit and underground shells, and consequently there is estimated mineralization outside the pit that is unreported. The unreported mineralization is shown graphically in Figure 14.41.
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Note: dark lines are drill holes; blue solid is the 0.004 oz Au/ton grade shell; yellow are the mineral resource pit shells; red shapes within 0.004 oz Au/ton grade shell at North Bullion are underground shells at 0.1 oz Au/ton.
Figure 14.41 : North Bullion Optimized Pits, Underground Shells and Additional Mineralization
To advance the North Bullion deposits, MDA’s recommendations include, but are not limited to, the following:
| ● | Acquire more density data, particularly in deposit areas where it is sparse or lacking altogether, |
| | |
| ● | Update the drill-hole database where drilling is lacking, e.g., determine drilling methods for GSV and historic drilling where not documented in the database, |
| ● | Compile core recovery and RQD data, |
| | |
| ● | Perform metallurgical test work, especially in deep refractory material. |
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SECTION 15 TABLE OF CONTENTS
SECTION | | PAGE |
15 | MINERAL RESERVE ESTIMATES | 15-3 |
| 15.1 | Introduction | 15-3 |
| 15.2 | Pit Optimization | 15-4 |
| | 15.2.1 | Economic Parameters | 15-5 |
| | 15.2.2 | Geometric Parameters | 15-6 |
| | 15.2.3 | Cutoff Grades for Pit Optimization | 15-9 |
| | 15.2.4 | Pit Optimization Methods and Results | 15-10 |
| 15.3 | Pit Designs | 15-17 |
| | 15.3.1 | Road and Ramp Design | 15-17 |
| | 15.3.2 | Dark Star Pit Designs | 15-18 |
| | 15.3.3 | Pinion Pit Designs | 15-22 |
| 15.4 | Dilution | 15-28 |
| 15.5 | Proven and Probable Mineral Reserves for Dark Star and Pinion | 15-28 |
SECTION 15 LIST OF TABLES
TABLE | DESCRIPTION | PAGE |
Table 15-1: | South Railroad Economic Parameters | 15-5 |
Table 15-2: | Dark Star ROM Recovery Equations for Gold | 15-6 |
Table 15-3: | Pinion ROM Recovery Equations for Gold | 15-6 |
Table 15-4: | Dark Star Slope Recommendations by Sector | 15-7 |
Table 15-5: | Pinion Slope Recommendations by Sector | 15-8 |
Table 15-6: | Dark Star Cutoff Grades | 15-9 |
Table 15-7: | Pinon Breakeven Cutoff Grades | 15-10 |
Table 15-8: | Dark Star Pit Optimization Results | 15-11 |
Table 15-9: | Dark Star Pit by Pit Results | 15-12 |
Table 15-10: | Pinion Pit Optimization Results | 15-14 |
Table 15-11: | Pinion Pit by Pit Results | 15-15 |
Table 15-12: | Road and Ramp Design Parameters | 15-18 |
Table 15-13: | Dark Star In-Pit Proven and Probable Mineral Reserves | 15-28 |
Table 15-14: | Pinion In-Pit Proven and Probable Mineral Reserves | 15-28 |
Table 15-15: | Total Dark Star and Pinion Proven and Probable Mineral Reserves | 15-29 |
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SECTION 15 LIST OF FIGURES
FIGURE | DESCRIPTION | PAGE |
Figure 15-1: | Dark Star Slope Sectors | 15-7 |
Figure 15-2: | Pinion Slope Sectors | 15-8 |
Figure 15-3: | Dark Star Pit by Pit Graph | 15-13 |
Figure 15-4: | Pinion Pit by Pit Graph | 15-16 |
Figure 15-5: | Dark Star Ultimate Pit Design | 15-19 |
Figure 15-6: | Dark Star North (Phase 1) and Main (Phase 2) Initial Pits | 15-20 |
Figure 15-7: | Dark Star North (Phase 3) and Main (Phase 4) | 15-21 |
Figure 15-8: | Pinion Ultimate Pit Design | 15-23 |
Figure 15-9: | Pinion Phase 1 and Phase 2 Pit Design | 15-24 |
Figure 15-10: | Pinion Phase 2 and Phase 3 Pit Design | 15-25 |
Figure 15-11: | Pinion Phase 1, Phase 3, and Phase 4 Pit Design | 15-26 |
Figure 15-12: | Pinion Phase 1, Phase 3, Phase 4, and Phase 5 Pit Design | 15-27 |
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15 | MINERAL RESERVE ESTIMATES |
Jordan Anderson and Thomas L. Dyer, PE, both Qualified Persons by the meaning of 43-101, are the authors of this section. To determine the South Railroad mineral reserves. the authors classify mineral reserves in order of increasing confidence into Probable and Proven categories to be in accordance with the “CIM Definition Standards - For Mineral Resources and Mineral Reserves” (2014), and therefore NI 43-101. Mineral reserves for the Pinion and Dark Star deposits were developed by applying relevant economic criteria to define the economically extractable portions of the current mineral resources. CIM standards require that modifying factors be used to convert mineral resources to mineral reserves. The standards define modifying factors and Proven and Probable mineral reserves with CIM’s explanatory material shown in italics as follows:
Mineral Reserve
Mineral reserves are sub-divided in order of increasing confidence into Probable mineral reserves and Proven mineral reserves. A Probable mineral reserve has a lower level of confidence than a Proven mineral reserve.
A mineral reserve is the economically mineable part of a Measured and/or Indicated mineral resource. It includes diluting materials and allowances for losses, which may occur when the material is mined or extracted and is defined by studies at preliminary feasibility or feasibility level as appropriate that include application of modifying factors. Such studies demonstrate that, at the time of reporting, extraction could reasonably be justified.
The reference point at which mineral reserves are defined, usually the point where the ore is delivered to the processing plant, must be stated. It is important that, in all situations where the reference point is different, such as for a saleable product, a clarifying statement is included to ensure that the reader is fully informed as to what is being reported.
The public disclosure of a mineral reserve must be demonstrated by a preliminary feasibility study or feasibility study.
Mineral reserves are those parts of Mineral Resources which, after the application of all mining factors, result in an estimated tonnage and grade which, in the opinion of the Qualified Person(s) making the estimates, is the basis of an economically viable project after taking account of all relevant Modifying Factors. Mineral Reserves are inclusive of diluting material that will be mined in conjunction with the Mineral Reserves and delivered to the treatment plant or equivalent facility. The term ‘Mineral Reserve’ need not necessarily signify that extraction facilities are in place or operative or that all governmental approvals have been received. It does signify that there are reasonable expectations of such approvals.
‘Reference point’ refers to the mining or process point at which the Qualified Person prepares a Mineral Reserve. For example, most metal deposits disclose mineral reserves with a “mill feed” reference point. In these cases, mineral reserves are reported as mined ore delivered to the plant and do not include reductions attributed to anticipated plant losses. In contrast, coal reserves have traditionally been reported as tonnes of “clean coal”. In this coal example, mineral reserves are reported as a “saleable product” reference point and include reductions for plant yield (recovery). The Qualified Person must clearly state the ‘reference point’ used in the Mineral Reserve estimate.
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Probable Mineral Reserve
A Probable mineral reserve is the economically mineable part of an Indicated mineral resources, and in some circumstances, a Measured mineral resource. The confidence in the modifying factors applying to a Probable mineral reserve is lower than that applying to a Proven mineral reserve.
The Qualified Person(s) may elect, to convert Measured Mineral Resources to Probable Mineral Reserves if the confidence in the Modifying Factors is lower than that applied to a Proven Mineral Reserve. Probable Mineral Reserve estimates must be demonstrated to be economic, at the time of reporting, by at least a preliminary feasibility study.
Proven Mineral Reserve
A Proven mineral reserve is the economically mineable part of a Measured mineral resource. A Proven mineral reserve implies a high degree of confidence in the modifying factors.
Application of the Proven mineral reserve category implies that the Qualified Person has the highest degree of confidence in the estimate with the consequent expectation in the minds of the readers of the report. The term should be restricted to that part of the deposit where production planning is taking place and for which any variation in the estimate would not significantly affect the potential economic viability of the deposit. Proven mineral reserve estimates must be demonstrated to be economic, at the time of reporting, by at least a preliminary feasibility study. Within the CIM Definition standards the term Proved Mineral Reserve is an equivalent term to a Proven Mineral Reserve.
Modifying Factors
Modifying Factors are considerations used to convert mineral resources to mineral reserves. These include, but are not restricted to mining, processing, metallurgical, infrastructure, economic, marketing, legal, environmental, social and governmental factors.
The authors of this section have used Measured and Indicated mineral resources as the basis to define mineral reserves for both the Dark Star and Pinion deposit based on open-pit mining with cyanide heap-leach processing. Mineral reserve definition was done by first identifying ultimate pit limits using economic parameters and pit optimization techniques. The resulting optimized pit shells were then used for guidance in pit design to allow access for equipment and personnel. The authors then considered mining, processing, metallurgical, infrastructure, economic, marketing, legal, environmental, social, and governmental factors for defining the estimated mineral reserves.
Mineral reserves in this feasibility study have been modified based on updated, current mineral resources and modified pit designs in comparison to the 2020 PFS. Dark Star mining has been designed using four pit phases. The modifications were applied to the Dark Star pit designs and include:
| ● | Updated geotechnical feasibility findings; and |
| ● | Updated haul road parameters |
Pinion mining has been designed using five pit phases. The phased pit designs for both the Dark Star and Pinion deposits to define the project production schedule, which was then used for cash-flow analysis for the feasibility study. The final cash-flow model was produced by M3 Engineering and demonstrates that the deposits make a positive cash flow and are reasonable with respect to statement of mineral reserves for those deposits.
Pit optimizations were completed by first identifying economic and geometrical parameters. This was followed by evaluating cutoff grades, and then running pit optimizations and economic analysis within various optimized pit shells.
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15.2.1 | Economic Parameters |
Economic parameters were used to generate optimized pits using a Lerchs-Grossman algorithm within Whittle™ software (Version 4.7). The economic parameters include estimated mining costs, processing costs, general and administrative costs (“G&A”), refining costs, royalties, and metal recoveries. Mine planning is an iterative process, and initial costs and recoveries were assumed to determine how large pits would be. The economic parameters were refined as concepts were developed on how material would be processed from the different deposits. The method for processing that was determined was:
| ● | Use of run-of-mine (“ROM” no crushing) for oxide and transition material from Dark Star and Pinion |
The economic parameters used are shown in Table 15-1. The overall process rate is assumed to be 33,000 tons per day or 12,045,000 tons per year. The assumption here is only used to convert the fixed G&A component to a cost per ton for the purpose of pit optimization. The G&A cost is later applied as a fixed cost in the cash-flow model.
Table 15-1: South Railroad Economic Parameters
| Dark Star | Pinion | |
ROM | ROM | Units |
Mining - Waste | $ | 1.80 | $ | 1.80 | $/ton Mined |
Incremental Ore Mining Cost | $ | 0.20 | $ | 0.20 | $/ton Processed |
Leaching | $ | 1.90 | $ | 1.90 | $/ton Processed |
G&A Cost per Ton | $ | 0.37 | $ | 0.37 | $/ton Processed |
Refining - Au | $ | 5.00 | $ | 5.00 | $/oz Produced |
Refining - Ag | NA | $ | 0.50 | $/oz Produced |
Royalty | By Area | By Area | |
Royalties were applied by royalty area or region as provided by Gold Standard. These are described in Section 4.2.
Recoveries were applied in detail based on recommendations by Mr. Gary Simmons, the Qualified Person for Section 13 of this Technical Report. Most of the recoveries used are based on grade-dependent equations. To simplify the equations, they were separated into various ROM equations for the different deposits and material types.
Pit optimizations and pit designs, metal prices of $1,450 per ounce Au and $18.76 per ounce Ag were used. These are lower than the final economic analysis prices used of $1,650 and $21.00 per ounce of gold and silver respectively. This leaves a bit of upside potential and the final ultimate pits are reasonable with respect to reporting of reserves.
15.2.1.1 | Dark Star Recoveries |
Dark Star recovery equations were provided based on mineral resource model blocks classified as low- and high- silica in the deposit. Separate equations were provided for both Dark Star North and Dark Star Main and were also varied for oxide and transition material. Thus, there are eight separate gold recovery equations for Dark Star material referred to as ROM1, ROM2, etc.
The definitions follow those of the ROM for the material shown below.
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The resulting ROM equations are shown in Table 15-2. “HG” in the equations to follow equals “head grade”.
Table 15-2: Dark Star ROM Recovery Equations for Gold
North Dark Star | Oxidation | Lith/Material | Equation |
ROM1 | Oxide | Low Silc | IF(HG*34.2857<0.4,5.1422*LN(HG*34.2857)+88.295,0.7864*LN(HG*34.2857)+84.371) |
ROM2 | Oxide | High Silc | IF(HG*34.2857<0.4,5.667*LN(HG*34.2857)+81.503,0.8666*LN(HG*34.2857)+77.178) |
ROM3 | Transition | Low Silc | IF(HG*34.2857<0.4,5.9294*LN(HG*34.2857)+69.158,0.9067*LN(HG*34.2857)+64.633) |
ROM4 | Transition | High Silc | IF(HG*34.2857<0.4,6.1918*LN(HG*34.2857)+58.948,0.9468*LN(HG*34.2857)+54.222) |
Dark Star Main | | | |
ROM5 | Oxide | Low Silc | IF(HG*34.2857<0.4,3.6204*LN(HG*34.2857)+89.475,0.5536*LN(HG*34.2857)+86.712) |
ROM6 | Oxide | High Silc | IF(HG*34.2857<0.4,2.5183*LN(HG*34.2857)+77.163,0.3851*LN(HG*34.2857)+75.241) |
ROM7 | Transition | Low Silc | IF(HG*34.2857<0.4,4.6651*LN(HG*34.2857)+70.373,0.7134*LN(HG*34.2857)+66.812) |
ROM8 | Transition | High Silc | IF(HG*34.2857<0.4,8.7639*LN(HG*34.2857)+66.188,5.8232*LN(HG*34.2857)+63.941) |
15.2.1.2 | Pinion Recoveries |
Pinion recoveries are based on block model rock types, estimated barium content, modeled silica zones, and oxidation types. All Pinion sulfide materials are considered as waste. Block model rock type codes used to define the various recovery equations include MLBX, Devil’s Gate (“DgD”), MTP, and Other (not MLBX, DgD, or MTP). For Pinion ROM material, a total of four oxide equations and four transition equations were used. Table 15-3 shows the recovery equation names and a description of the material they are applied to, along with the equations used.
Table 15-3: Pinion ROM Recovery Equations for Gold
Equation | Oxidation | Lith/Material | Equation |
ROM1 | Oxide | DgD | IF(HG*34.2857<0.4,5.6671*LN(HG*34.2857)+63.160,1.0819*ln(HG*34.2857)+58.880) |
ROM2 | Oxide | MlBx Lo Si | IF(HG*34.2857<0.4,7.6257*LN(HG*34.2857)+66.776,5.4756*ln(HG*34.2857)+64.985) |
ROM3 | Oxide | MlBx Hi Si | IF(HG*34.2857<0.4,7.7255*LN(HG*34.2857)+46.504,4.6417*ln(HG*34.2857)+45.591) |
ROM4 | Oxide | MTP | IF(HG*34.2857<0.4,11.354*LN(HG*34.2857)+74.905,6.9619*ln(HG*34.2857)+71.223) |
ROM5 | Transition | DgD | (.1979*LN(HG*34.2857)+25.5780) |
ROM6 | Transition | MlBx Lo Si | (.1979*LN(HG*34.2857)+25.5780) |
ROM7 | Transition | MlBx Hi Si | (.1979*LN(HG*34.2857)+25.5780) |
ROM8 | Transition | MTP | (.1979*LN(HG*34.2857)+25.5780) |
15.2.2 | Geometric Parameters |
Geometric parameters include land constraints and slope parameters. No land boundaries were used other than royalty areas as required to apply NSR royalties to the economics.
Slope recommendations were provided by Golder Associates (“Golder”) (Golder, 2021). These were given using different sectors for both the Dark Star and Pinion deposits. Golder provided two sets of recommendations for each deposit based on whether best-case blasting practices are used. RESPEC has applied the recommendations assuming best blasting practices will be used to protect high walls from damage.
15.2.2.1 | Dark Star Slope Recommendations |
Dark Star slope sectors provided by Golder (2021) are shown in Figure 15-1. Recommended bench heights, catch bench widths, bench face angles (“BFA”), and inner-ramp slope angles (“IRA”) are shown in Table 15-4.
The slope sectors were flagged into the mineral resource block model and exported to Whittle. For pit optimizations, the slopes in Dark Star Main were flattened by 5° while Dark Star North slopes were flattened by 7°- 9° to provide a more accurate representation of the flattening due to inclusion of ramps in the preliminary pit designs.
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(From Golder, January 2021)
Figure 15-1: Dark Star Slope Sectors
Table 15-4: Dark Star Slope Recommendations by Sector
Dark Star Golder Recommendations in Feet
Sector | Bench Height * | Bench Width * | BFA(o) | IRA(o) |
N1 | 60 | 27 | 69 | 50 |
N2 | 60 | 27 | 72 | 52 |
N3 | 60 | 27 | 67 | 48 |
N4 | 60 | 27 | 72 | 52 |
S1 | 60 | 27 | 71 | 51 |
S2 | 60 | 27 | 72 | 52 |
S3 | 60 | 27 | 67 | 48 |
S4 | 60 | 27 | 72 | 52 |
Ovgl, Twi | 30 | 25 | 60 | 35 |
Tcgl | 30 | 21 | 65 | 40 |
* Bench height and widths were provided in feet | |
15.2.2.2 | Pinion Slope Recommendations |
Pinion slope sectors provided by Golder are shown in Figure 15-2 and the recommended bench heights, catch bench widths, BFA, and IRA are shown in Table 15-5. For Whittle pit optimizations, sections 4 and 5 were flattened by 1° to account for ramps while the IRA was applied to the remaining sections. Unlike Dark Star North, the final designs for Pinion were completed leaving minimal ramps in the high wall. The exception being Pinion North section 4 which contains most of that pit’s ramps and was flattened by 9° to account for this.
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(from Golder, January 2021)
Figure 15-2: Pinion Slope Sectors
Table 15-5: Pinion Slope Recommendations by Sector
Pinion Golder Recommendations in Feet
Sector | Bench Height | Bench Width | BFA | IRA |
S1 | 60 | 27 | 72 | 52 |
S2 | 60 | 27 | 70 | 50 |
S3 | 60 | 27 | 72 | 52 |
S4 | 30 | 21 | 65 | 40 |
S5 | 30 | 21 | 65 | 40 |
N1 | 60 | 27 | 72 | 52 |
N2 | 60 | 27 | 62 | 45 |
N3 | 60 | 27 | 72 | 52 |
N4 | 30 | 21 | 65 | 40 |
MLBX | 30 | 21 | 65 | 40 |
* Bench height and widths were provided in feet
(From Golder and Associates, January 2021)
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15.2.3 | Cutoff Grades for Pit Optimization |
Cutoff grades were calculated based on the economic parameters shown in Table 15-1. Cutoff grades were calculated for the different deposits and material types for the various potential processing methods. ROM processing cutoff grades were calculated as internal break-even cutoffs. The internal cutoff grade calculation eliminates the mining cost in the calculation. The pit designs are based on economical pits and the materials inside of the pits are assumed to be mined whether the material is waste or ore. The decision on whether to process the material is made at the point where the truck needs to turn either to the waste dump or the process facility. Thus, the mining cost is a sunk cost. The basic equation for the cutoff grade calculation is shown in Equation 1.
Equation 1 Breakeven Cutoff Grade Calculation (oz Au/ton)
Where costs are all processing costs plus G&A costs in $/ton, RefCst is the refining cost in $/oz gold produced, Roy% is the NSR royalty, and Rec% is the calculated recovery at the cutoff grade.
Of note, when calculating the breakeven cutoff grades for ROM material, the cutoff grade can be very low and approach assay detection limits. Processing material with grades at the detection limits runs the risk that material may be sent to the leach pad that will incur more costs than the value it creates. Due to this lack of confidence in assays for such lower grades, the feasibility study uses a minimum grade of 0.005 oz Au/ton.
The calculated ROM breakeven cutoff grades range between 0.002 and 0.004 oz Au/ton. As such, the reporting cutoff grades used are 0.005 oz Au/ton for all Dark Star ROM material processed. Table 15-6 shows the crossover cutoff grades for Dark Star.
Table 15-6: Dark Star Cutoff Grades
| COG |
North Dark Star | Oxidation | Lith/Material | oz Au/ton |
ROM1 | Oxide | Low Silc | 0.005 |
ROM2 | Oxide | High Silc | 0.005 |
ROM3 | Transition | Low Silc | 0.005 |
ROM4 | Transition | High Silc | 0.005 |
Dark Star Main
ROM5 | Oxide | Low Silc | 0.005 |
ROM6 | Oxide | High Silc | 0.005 |
ROM7 | Transition | Low Silc | 0.005 |
ROM8 | Transition | High Silc | 0.005 |
The Pinion cutoff grades are shown in Table 15-7 by oxidation, rock type, barite content, and silica reference. ROM cutoff grades are shown as either the breakeven cutoff grades or the 0.005 oz Au/ton minimum cutoff, whichever is greater.
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Table 15-7: Pinon Breakeven Cutoff Grades
| COG (oz Au/ton) |
ROM Eq | Oxidation | Lith/Material | ROM |
ROM1 | Oxide | DgD | 0.005 |
ROM2 | Oxide | MlBx Lo Si | 0.005 |
ROM3 | Oxide | MlBx Hi Si | 0.005 |
ROM4 | Oxide | MTP | 0.005 |
ROM5 | Transition | DgD | 0.007 |
ROM6 | Transition | MlBx Lo Si | 0.007 |
ROM7 | Transition | MlBx Hi Si | 0.007 |
ROM8 | Transition | MTP | 0.007 |
The ROM cutoff grades described above were used for minimum values in the Whittle optimizations. The ROM cutoff grades above were used for final mineral reserve definition.
15.2.4 | Pit Optimization Methods and Results |
Pit optimizations were run using Whittle™ software (version 4.7). Inputs into Whittle included the mineral resource block model along with the economic and geometric parameters previously discussed. Pit optimizations used for mineral reserve definition used only Measured and Indicated mineral resources for processing and all Inferred material is considered as waste. Each deposit was run separately, and ultimate pit shells were selected from the Whittle results for final design. For Dark Star and Pinion, additional pit shells were considered for guidance of interior pit phases.
The selections of ultimate pits and pit phases were done as a two-step process. The first step was to optimize a set of pit shells based on varying a revenue factor. This was done in Whittle using a Lerchs-Grossman algorithm. The revenue factor was multiplied by the recovered ounces and the metal prices, creating a nested set of pit shells based on different metal prices. Revenue factors for each of the deposits were varied from 0.30 to 2.5 in increments of 0.025. With a base price of $1,000 per ounce of gold, the resulting pit shells represent gold prices from $300 to $2,500 per ounce in increments of $25.00. This has the potential of generating up to 89 different pit shells that can be used for analysis.
Silver prices were adjusted to maintain a constant silver ratio for each revenue factor. This is done by setting a silver reference price equivalent to the reference gold price by multiplying the base silver price times $1,000 divided by the base gold price or $18.76 * $1,000 / $1,450 = $12.94 per ounce of silver.
The second step of the process was to use the Pit by Pit (“PbP”) analysis tool in Whittle to generate a discounted operating cash flow (note that capital is not included). This analysis is done using the base price of metal ($1,600 per ounce of gold and $20.70 per ounce of silver). This uses a rough scheduling for each pit shell to generate the discounted value for the pit. The program develops three different discounted values: best, worst, and specified. The best-case value uses each of the pit shells as pit phases or pushbacks. For example, when evaluating pit 20, there would be 19 pushbacks mined prior to pit 20, and the resulting schedule takes advantage of mining more valuable material up front to improve the discounted value. Evaluating pit 21 would have 20 pushbacks; pit 22 would have 21 pushbacks and so on. Note that this is not a realistic case as the incremental pushbacks would not have enough mining width between them to be able to mine appropriately, but this does help to define the maximum potential discounted operating cash flow.
The worst case does not use any pushbacks in determining the discounted value for each of the pit shells. Thus, each pit shell is evaluated as if mining a single pit from top to bottom. This does not provide the advantage of mining more valuable material sooner, and it generally provides a lower discounted value than that of the best case.
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The specified case allows the user to specify pit shells to be used as pushbacks and then schedules the pushbacks and calculates the discounted cash flow. This is more realistic than the base case as it allows for more mining width, though the final pit design will have to ensure that appropriate mining width is available. The specified case has been used for each mine to determine the ultimate pit limits to design to, as well as to specify guidelines for designing pit phases.
15.2.4.1 | Dark Star Pit Optimization |
The previously discussed parameters were used along with gold prices varying from $300 to $2,500 per ounce to create the pit optimization results. These results are shown in Table 15-8 using $100 gold price increments with the addition of the $1,450 pit shell which is highlighted as the base price used for pit designs. The pit optimization used the IRA slopes provided by Golder and Associates and select flattening to account for roads as described previously.
Table 15-9 lists the PbP results and these are also shown graphically in Figure 15-3. Pit 52 is highlighted as having the best discounted operating cash flow for the specified case and pit 47 is highlighted as the $1,450 gold price pit shell which was chosen as the basis for pit designs. The final design was done using four pit phases, two for Dark Star North, which has the higher value, and two for Dark Star Main.
Table 15-8: Dark Star Pit Optimization Results
| Price $/oz Au | Material Processed | Waste K Tons | Total K Tons | Strip Ratio |
Pit | K Tons | oz Au/ton | K Ozs Au |
1 | $ | 300 | 7,931 | 0.046 | 363 | 26,529 | 34,461 | 3.34 |
5 | $ | 400 | 10,595 | 0.041 | 435 | 30,425 | 41,020 | 2.87 |
9 | $ | 500 | 15,119 | 0.038 | 571 | 46,114 | 61,233 | 3.05 |
13 | $ | 600 | 19,099 | 0.034 | 650 | 53,838 | 72,936 | 2.82 |
17 | $ | 700 | 23,414 | 0.031 | 716 | 60,360 | 83,774 | 2.58 |
21 | $ | 800 | 25,817 | 0.029 | 752 | 65,395 | 91,213 | 2.53 |
25 | $ | 900 | 26,870 | 0.029 | 768 | 68,007 | 94,876 | 2.53 |
29 | $ | 1,000 | 30,909 | 0.027 | 822 | 78,763 | 109,672 | 2.55 |
33 | $ | 1,100 | 31,790 | 0.026 | 834 | 81,851 | 113,642 | 2.57 |
37 | $ | 1,200 | 32,073 | 0.026 | 838 | 82,553 | 114,626 | 2.57 |
41 | $ | 1,300 | 32,584 | 0.026 | 844 | 84,209 | 116,792 | 2.58 |
45 | $ | 1,400 | 33,179 | 0.026 | 854 | 87,825 | 121,004 | 2.65 |
47 | $ | 1,450 | 33,670 | 0.026 | 865 | 92,844 | 126,515 | 2.76 |
49 | $ | 1,500 | 33,834 | 0.026 | 867 | 93,397 | 127,230 | 2.76 |
53 | $ | 1,600 | 34,293 | 0.026 | 875 | 96,642 | 130,935 | 2.82 |
57 | $ | 1,700 | 34,584 | 0.025 | 879 | 98,741 | 133,325 | 2.86 |
61 | $ | 1,800 | 34,693 | 0.025 | 880 | 99,112 | 133,805 | 2.86 |
65 | $ | 1,900 | 34,944 | 0.025 | 883 | 100,469 | 135,413 | 2.88 |
69 | $ | 2,000 | 35,194 | 0.025 | 886 | 102,417 | 137,611 | 2.91 |
73 | $ | 2,100 | 35,226 | 0.025 | 887 | 102,614 | 137,840 | 2.91 |
77 | $ | 2,200 | 35,358 | 0.025 | 890 | 104,832 | 140,189 | 2.96 |
81 | $ | 2,300 | 35,606 | 0.025 | 893 | 106,980 | 142,586 | 3.00 |
85 | $ | 2,400 | 35,688 | 0.025 | 894 | 107,736 | 143,425 | 3.02 |
89 | $ | 2,500 | 35,786 | 0.025 | 895 | 108,499 | 144,285 | 3.03 |
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Table 15-9: Dark Star Pit by Pit Results
| Material Processed | Waste K Tons | Total K Tons | Strip Ratio | Disc Op Cash Flow (M USD) |
Pit | K Tons | oz Au/ton | K Ozs Au | Best | Specified | Worst |
37 | 32,073 | 0.026 | 838 | 82,553 | 114,626 | 2.57 | $ 679.69 | $ 670.11 | $ 647.92 |
38 | 32,164 | 0.026 | 839 | 82,778 | 114,942 | 2.57 | $ 679.87 | $ 670.25 | $ 647.90 |
39 | 32,341 | 0.026 | 841 | 83,289 | 115,629 | 2.58 | $ 680.23 | $ 670.53 | $ 647.80 |
40 | 32,567 | 0.026 | 844 | 84,169 | 116,736 | 2.58 | $ 680.80 | $ 671.07 | $ 648.12 |
41 | 32,584 | 0.026 | 844 | 84,209 | 116,792 | 2.58 | $ 680.82 | $ 671.10 | $ 648.14 |
42 | 32,590 | 0.026 | 844 | 84,215 | 116,805 | 2.58 | $ 680.83 | $ 671.11 | $ 648.14 |
43 | 32,815 | 0.026 | 846 | 84,925 | 117,740 | 2.59 | $ 681.22 | $ 671.48 | $ 648.40 |
44 | 33,095 | 0.026 | 853 | 87,554 | 120,649 | 2.65 | $ 682.13 | $ 672.36 | $ 649.04 |
45 | 33,179 | 0.026 | 854 | 87,825 | 121,004 | 2.65 | $ 682.24 | $ 672.46 | $ 649.05 |
46 | 33,324 | 0.026 | 857 | 89,335 | 122,659 | 2.68 | $ 682.60 | $ 672.81 | $ 649.26 |
47 | 33,670 | 0.026 | 865 | 92,844 | 126,515 | 2.76 | $ 683.33 | $ 673.49 | $ 649.55 |
48 | 33,821 | 0.026 | 867 | 93,331 | 127,152 | 2.76 | $ 683.46 | $ 673.59 | $ 649.46 |
49 | 33,834 | 0.026 | 867 | 93,397 | 127,230 | 2.76 | $ 683.47 | $ 673.60 | $ 649.45 |
50 | 33,928 | 0.026 | 868 | 93,774 | 127,702 | 2.76 | $ 683.53 | $ 673.65 | $ 649.40 |
51 | 34,096 | 0.026 | 870 | 94,528 | 128,624 | 2.77 | $ 683.61 | $ 673.71 | $ 649.24 |
52 | 34,239 | 0.026 | 874 | 96,189 | 130,428 | 2.81 | $ 683.68 | $ 673.76 | $ 649.13 |
53 | 34,293 | 0.026 | 875 | 96,642 | 130,935 | 2.82 | $ 683.69 | $ 673.75 | $ 649.05 |
54 | 34,406 | 0.025 | 876 | 97,372 | 131,778 | 2.83 | $ 683.67 | $ 673.71 | $ 648.88 |
55 | 34,464 | 0.025 | 878 | 98,290 | 132,755 | 2.85 | $ 683.64 | $ 673.67 | $ 648.75 |
56 | 34,481 | 0.025 | 878 | 98,352 | 132,833 | 2.85 | $ 683.63 | $ 673.66 | $ 648.72 |
57 | 34,584 | 0.025 | 879 | 98,741 | 133,325 | 2.86 | $ 683.57 | $ 673.59 | $ 648.51 |
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Figure 15-3: Dark Star Pit by Pit Graph
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15.2.4.2 | Pinion Pit Optimization |
The Pinion optimization parameters were used along with variable gold prices to create the pit optimization results. These results are shown in Table 15-10 using $100 gold price increments with the addition of the $1,450 pit shell, which is highlighted as the base price used to determine the ultimate pit limits. Pit optimizations used the previously discussed Golder IRA slope criteria.
Table 15-11 shows the PbP results and these are also shown graphically in Figure 15-4. This shows the material processing type as selected by Whittle. Pit 48 is highlighted as having the best discounted operating cash flow for the specified case and pit 47 is highlighted as the $1,450 gold price pit shell which was chosen as the basis for pit designs.
It is worth noting the various steps in Figure 15-4 which illustrates the difficulty in overcoming stripping at certain metal prices. One of the larger jumps is between pit shells 46 and 47. The incremental change in contained ounces of gold between those pits is approximately 345,500 ounces.
Table 15-10: Pinion Pit Optimization Results
| | |
Material Processed | Waste | Total | Strip |
Pit Au Price | Ag Price | K Tons | oz Au/ton | K Ozs Au o | z Ag/ton | K Ozs Ag | K Tons | K Tons | Ratio |
1 | $ | 300 | $ | 3.88 | 648 | 0.038 | 24 | 0.191 | 124 | 635 | 1,283 | 0.98 |
5 | $ | 400 | $ | 5.18 | 1,379 | 0.031 | 42 | 0.175 | 242 | 1,026 | 2,405 | 0.74 |
9 | $ | 500 | $ | 6.47 | 2,235 | 0.028 | 62 | 0.186 | 415 | 1,843 | 4,079 | 0.82 |
13 | $ | 600 | $ | 7.76 | 3,214 | 0.025 | 81 | 0.183 | 588 | 3,019 | 6,233 | 0.94 |
17 | $ | 700 | $ | 9.06 | 3,945 | 0.024 | 94 | 0.174 | 687 | 3,957 | 7,902 | 1.00 |
21 | $ | 800 | $ | 10.35 | 5,074 | 0.022 | 113 | 0.167 | 846 | 5,815 | 10,889 | 1.15 |
25 | $ | 900 | $ | 11.64 | 6,270 | 0.021 | 135 | 0.157 | 984 | 8,820 | 15,090 | 1.41 |
29 | $ | 1,000 | $ | 12.94 | 6,963 | 0.021 | 145 | 0.152 | 1,057 | 10,625 | 17,588 | 1.53 |
33 | $ | 1,100 | $ | 14.23 | 8,080 | 0.021 | 166 | 0.146 | 1,183 | 14,981 | 23,061 | 1.85 |
37 | $ | 1,200 | $ | 15.53 | 8,638 | 0.020 | 174 | 0.143 | 1,234 | 17,000 | 25,638 | 1.97 |
41 | $ | 1,300 | $ | 16.82 | 20,457 | 0.019 | 398 | 0.144 | 2,938 | 68,971 | 89,428 | 3.37 |
45 | $ | 1,400 | $ | 18.11 | 21,808 | 0.019 | 418 | 0.141 | 3,071 | 73,328 | 95,136 | 3.36 |
47 | $ | 1,450 | $ | 18.76 | 39,437 | 0.019 | 764 | 0.156 | 6,142 | 187,333 | 226,770 | 4.75 |
49 | $ | 1,500 | $ | 19.41 | 40,015 | 0.019 | 772 | 0.155 | 6,203 | 188,827 | 228,842 | 4.72 |
53 | $ | 1,600 | $ | 20.70 | 41,387 | 0.019 | 788 | 0.153 | 6,330 | 193,190 | 234,577 | 4.67 |
57 | $ | 1,700 | $ | 21.99 | 42,522 | 0.019 | 804 | 0.153 | 6,515 | 198,564 | 241,085 | 4.67 |
61 | $ | 1,800 | $ | 23.29 | 43,207 | 0.019 | 812 | 0.152 | 6,582 | 200,644 | 243,852 | 4.64 |
65 | $ | 1,900 | $ | 24.58 | 43,738 | 0.019 | 818 | 0.152 | 6,642 | 202,728 | 246,467 | 4.64 |
69 | $ | 2,000 | $ | 25.88 | 45,998 | 0.018 | 851 | 0.153 | 7,032 | 216,385 | 262,383 | 4.70 |
73 | $ | 2,100 | $ | 27.17 | 46,559 | 0.018 | 857 | 0.152 | 7,086 | 219,106 | 265,666 | 4.71 |
77 | $ | 2,200 | $ | 28.46 | 47,205 | 0.018 | 867 | 0.152 | 7,166 | 223,182 | 270,387 | 4.73 |
81 | $ | 2,300 | $ | 29.76 | 47,688 | 0.018 | 872 | 0.152 | 7,228 | 225,723 | 273,411 | 4.73 |
85 | $ | 2,400 | $ | 31.05 | 48,193 | 0.018 | 879 | 0.151 | 7,287 | 228,885 | 277,078 | 4.75 |
89 | $ | 2,500 | $ | 32.34 | 49,009 | 0.018 | 888 | 0.150 | 7,374 | 232,833 | 281,842 | 4.75 |
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Table 15-11: Pinion Pit by Pit Results
| Total Material Processed | Waste K Tons | Total K Tons | Strip Ratio | Disc. Op Cash Flow (M USD) |
Pit | K Tons | oz Au/ton | K Ozs Au | oz Ag/ton | K Ozs Ag | Best | Specified | Worst |
37 | 8,644 | 0.020 | 174 | 0.143 | 1,234 | 16,993 | 25,638 | 1.97 | $ | 95.29 | $ | 95.29 | $ | 95.29 |
38 | 8,746 | 0.020 | 175 | 0.142 | 1,241 | 17,200 | 25,945 | 1.97 | $ | 95.49 | $ | 95.49 | $ | 95.49 |
39 | 8,877 | 0.020 | 177 | 0.141 | 1,255 | 17,570 | 26,446 | 1.98 | $ | 95.78 | $ | 95.78 | $ | 95.78 |
40 | 20,484 | 0.019 | 397 | 0.143 | 2,939 | 68,672 | 89,156 | 3.35 | $ | 128.20 | $ | 128.20 | $ | 127.97 |
41 | 20,660 | 0.019 | 399 | 0.143 | 2,951 | 68,768 | 89,428 | 3.33 | $ | 128.32 | $ | 128.31 | $ | 128.07 |
42 | 20,876 | 0.019 | 401 | 0.142 | 2,965 | 69,049 | 89,925 | 3.31 | $ | 128.52 | $ | 128.49 | $ | 128.24 |
43 | 21,445 | 0.019 | 410 | 0.142 | 3,038 | 71,423 | 92,868 | 3.33 | $ | 129.52 | $ | 129.38 | $ | 129.11 |
44 | 21,622 | 0.019 | 413 | 0.141 | 3,051 | 72,064 | 93,686 | 3.33 | $ | 129.76 | $ | 129.58 | $ | 129.30 |
45 | 21,940 | 0.019 | 418 | 0.140 | 3,079 | 73,196 | 95,136 | 3.34 | $ | 130.23 | $ | 129.97 | $ | 129.68 |
46 | 22,054 | 0.019 | 420 | 0.140 | 3,089 | 73,372 | 95,426 | 3.33 | $ | 130.32 | $ | 130.06 | $ | 129.76 |
47 | 39,594 | 0.019 | 765 | 0.155 | 6,152 | 187,177 | 226,770 | 4.73 | $ | 153.44 | $ | 153.01 | $ | 145.31 |
48 | 40,010 | 0.019 | 772 | 0.155 | 6,203 | 188,672 | 228,681 | 4.72 | $ | 153.63 | $ | 153.16 | $ | 145.33 |
49 | 40,093 | 0.019 | 772 | 0.155 | 6,209 | 188,749 | 228,842 | 4.71 | $ | 153.62 | $ | 153.15 | $ | 145.32 |
50 | 40,464 | 0.019 | 778 | 0.154 | 6,251 | 190,569 | 231,033 | 4.71 | $ | 153.69 | $ | 153.16 | $ | 145.24 |
51 | 40,926 | 0.019 | 784 | 0.154 | 6,293 | 192,284 | 233,211 | 4.70 | $ | 153.65 | $ | 153.02 | $ | 145.04 |
52 | 41,172 | 0.019 | 786 | 0.153 | 6,314 | 192,625 | 233,797 | 4.68 | $ | 153.59 | $ | 152.90 | $ | 144.87 |
53 | 41,387 | 0.019 | 788 | 0.153 | 6,330 | 193,190 | 234,577 | 4.67 | $ | 153.51 | $ | 152.76 | $ | 144.68 |
54 | 41,596 | 0.019 | 791 | 0.153 | 6,361 | 193,942 | 235,539 | 4.66 | $ | 153.42 | $ | 152.61 | $ | 144.51 |
55 | 41,809 | 0.019 | 794 | 0.153 | 6,390 | 194,901 | 236,710 | 4.66 | $ | 153.27 | $ | 152.41 | $ | 144.26 |
56 | 42,214 | 0.019 | 800 | 0.153 | 6,469 | 197,447 | 239,660 | 4.68 | $ | 152.88 | $ | 151.90 | $ | 143.66 |
57 | 42,458 | 0.019 | 804 | 0.153 | 6,511 | 198,627 | 241,085 | 4.68 | $ | 152.65 | $ | 151.58 | $ | 143.29 |
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Figure 15-4: Pinion Pit by Pit Graph
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Detailed pit designs were completed for Dark Star and Pinion using Surpac™ software (version 6.7). Each of the designs utilize both 30 ft benches with a catch bench installed every bench or every other bench (60 ft). Catch benches were designed with a width of 21 ft for 30 ft benches or 27 ft for 60 ft and the BFA’s used are shown in Table 15-4 and Table 15-5.
15.3.1 | Road and Ramp Design |
Road designs have been completed for the feasibility study to allow primary access for people, equipment, and consumables to the site. This includes haul roads between the designed pits, dumps, and proposed leach facility. Within the pit designs, ramps have been established for haul truck and equipment access. The in-pit ramps will only require a single berm. Ramps outside of the pit will require two safety berms. The design parameters for ramps and roads are shown in Table 15-12. Note that these also show parameters for one-lane traffic. One-lane traffic would be used near the bottom of pits where the strip ratio is minimal, and the traffic requirements are low.
The ramps and haul roads assume the use of 200-ton capacity haul trucks with an operating width of 25.08 ft. For two- way access the goal of the road design is to allow a running width of near 3.5 times the width of the trucks. Mine Safety and Health Administration (“MSHA”) regulations specify that safety berms be maintained with heights at least ½ of the diameter of the tires of the haul trucks that will travel on roads. The ½ height of the 200-ton haul trucks tires is 5.61 ft. An extra 10% was added to berm height design to ensure that all berms are a sufficient height.
Safety berms assume a slope of 1.5 horizontal to 1.0 vertical. Considering that ramps in the pit only need one berm, the road width of 105 ft was determined for two-lane traffic, which allows for 3.42 times the operating width of the haul trucks. Single-lane traffic roads are estimated to require 70 ft which allows 2.02 times the operating width of haul trucks.
Roads outside of the pit will require two berms and widths are estimated to be 125 ft allowing 3.45 times the width of haul trucks.
Road designs are intended to have a maximum of 10% gradient, though some may exceed this for short distances around inside turns. Where switchbacks are utilized, the centerline gradient is reduced to about 8%. This keeps the inside gradient approximately 12%. Switchback designs have not added the detail for super elevation through the curves, but is it assumed that this will be done when they are constructed.
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Table 15-12: Road and Ramp Design Parameters
| Two-Lane In-Pit | | Two-Lane Ex-Pit | | One-Lane In-Pit |
| Feet | | Feet | | Feet |
Truck Width | 25.08 | | 25.08 | | 25.08 |
Running / Truck Width Ratio | 3.50 | | 3.50 | | 2.00 |
Road Running Width | 87.79 | | 87.79 | | 50.17 |
Tire Size | 37.00R57 | | 37.00R57 | | 37.00R57 |
Tire 1/2 Height | 5.61 | | 5.61 | | 5.61 |
Berm Height | 6.17 | | 6.17 | | 6.17 |
Berm Top Width | 0.75 | | 0.75 | | 0.75 |
Berm Slope | 1.50 | | 1.50 | | 1.50 |
Berm Bottom Width | 19.27 | | 19.27 | | 19.27 |
# Berms | 1.00 | | 2.00 | | 1.00 |
Total Berm Width | 19.27 | | 38.54 | | 19.27 |
Overall Width | 107.06 | | 126.33 | | 69.44 |
Design Width | 105.00 | | 125.00 | | 70.00 |
Running Width After Berms | 85.73 | | 86.46 | | 50.73 |
Running Width / Truck Width | 3.42 | | 3.45 | | 2.02 |
15.3.2 | Dark Star Pit Designs |
Dark Star pit designs were completed using four pit phases. Phase 1 mines an initial pit in Dark Star North and phase 2 mines an initial pit in Dark Star Main. Ultimate pits are mined in Phase 3 (Dark Star North) and Phase 4 (Dark Star Main). Dark Star North has generally higher grades and better value, however it also has a higher strip ratio.
Figure 15-5 shows the ultimate Dark Star pit designs (phases 3 and 4). Figure 15-6 shows the initial Dark Star pit designs (phases 1 and 2).
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Figure 15-5: Dark Star Ultimate Pit Design
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Figure 15-6: Dark Star North (Phase 1) and Main (Phase 2) Initial Pits
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Figure 15-7: Dark Star North (Phase 3) and Main (Phase 4)
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The Pinion ultimate pit design was achieved using five pit phases. The ultimate pit design is shown in Figure 15-8. The Pinion Phase 1 pit is in the north part of the deposit and mines near surface oxide materials. Due to the lower strip ratio in this area, the Phase 1 pit provides good initial value from the deposit. The Pinion Phase 1 pit design is shown in Figure 15-9.
The Pinion Phase 2 and 3 pits are located just south of Phase 1 and mines into the major portion of the upper part of the deposit from north to south. These pits were roughly designed based on the optimized pit shell number 40. The Pinion Phase 2 and 3 designs shown in Figure 15-9 and Figure 15-10.
The Pinion 4 and 5 pits are an expansion to the south of Phase 3. Phase 4 (Figure 15-11) is designed to maximize the in pit dumping available by mining the extent of the deposit in the east. Phase 5 (Figure 15-12) completes the extent of the pit.
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Figure 15-8: Pinion Ultimate Pit Design
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Figure 15-9: Pinion Phase 1 and Phase 2 Pit Design
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Figure 15-10: Pinion Phase 2 and Phase 3 Pit Design
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Figure 15-11: Pinion Phase 1, Phase 3, and Phase 4 Pit Design
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Figure 15-12: Pinion Phase 1, Phase 3, Phase 4, and Phase 5 Pit Design
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The mineral resource block models were completed for both deposits using 30 ft x 30 ft x 30 ft block sizes which is appropriate for use as a selective mining unit. The estimates for gold (and silver at Pinion) have been block diluted to the mineral resource block size. The authors believes that this dilution is appropriate to represent the dilution and ore loss that will be experienced when the deposits are mined.
15.5 | Proven and Probable Mineral Reserves for Dark Star and Pinion |
In-pit Measured and Indicated mineral resources above the cutoff grades used were converted to Proven and Probable mineral reserves respectively. Dark Star Proven and Probable mineral reserves are shown in Table 15-13. The Dark Star pits have a total of 89.9 million tons of waste associated with the mineral reserves, and thus have an overall strip ratio of 2.80 tons of waste per ton processed. The in-pit oxide and transition mineral reserves are reported using the 0.005 oz Au/ton cutoff grade.
For the Dark Star Proven and Probable mineral reserves the reference point is at the process facility, and the mineral reserves are entirely within the current Measured and Indicated Dark Star mineral resources.
Table 15-13: Dark Star In-Pit Proven and Probable Mineral Reserves
| Oxide Material | Transition Material | Total Proven & Probable |
Phase | K Tons | oz Au/ton | K Ozs Au | K Tons | oz Au/ton | K Ozs Au | K Tons | oz Au/ton | K Ozs Au |
Phase 1 | 6,475 | 0.039 | 253 | 2,498 | 0.024 | 61 | 8,972 | 0.035 | 314 |
Phase 2 | 4,178 | 0.018 | 74 | 4,991 | 0.014 | 69 | 9,169 | 0.016 | 144 |
Phase 3 | 5,438 | 0.038 | 207 | 3,163 | 0.032 | 102 | 8,601 | 0.036 | 310 |
Phase 4 | 2,386 | 0.014 | 35 | 3,014 | 0.013 | 38 | 5,400 | 0.013 | 73 |
Total | 18,476 | 0.031 | 569 | 13,666 | 0.020 | 270 | 32,142 | 0.026 | 840 |
Pinion Proven and Probable mineral reserves are shown in Table 15-14. The Pinion mineral reserves are associated with a total of 204.6 million tons of waste, resulting in a stripping ratio of 5.15 waste tons to processed tons. Cutoff grades used for reporting are variable based on the material type, oxidation, barite, and silica content. The in-pit oxide mineral reserves are reported using the 0.005 oz Au/ton cutoff grade while the transition mineral reserves are reported using a 0.007 oz Au/ton cutoff grade.
For the Pinion Proven and Probable mineral reserves the reference point is at the process facility, and the mineral reserves are entirely within the current Measured and Indicated Pinion mineral resources.
Table 15-14: Pinion In-Pit Proven and Probable Mineral Reserves
| Oxide Material | Transition Material | Total Processed |
Phase | K Tons | oz Au/ton | K Ozs Au | oz Ag/ton | K Ozs Ag | K Tons | oz Au/ton | K Ozs Au | oz Ag/ton | K Ozs Ag | K Tons | oz Au/ton | K Ozs Au | oz Ag/ton | K Ozs Ag |
Pin_Ph_1 | 3,222 | 0.019 | 62 | 0.110 | 356 | 22 | 0.010 | 0 | 0.049 | 1 | 3,244 | 0.019 | 62 | 0.110 | 357 |
Pin_Ph_2 | 8,402 | 0.020 | 167 | 0.149 | 1,255 | 339 | 0.019 | 6 | 0.183 | 62 | 8,741 | 0.020 | 174 | 0.151 | 1,317 |
Pin_Ph_3 | 10,458 | 0.018 | 187 | 0.137 | 1,435 | 447 | 0.016 | 7 | 0.144 | 65 | 10,905 | 0.018 | 194 | 0.137 | 1,499 |
Pin_Ph_4 | 6,373 | 0.017 | 111 | 0.123 | 786 | 196 | 0.015 | 3 | 0.159 | 31 | 6,570 | 0.017 | 113 | 0.124 | 817 |
Pin_Ph_5 | 9,771 | 0.022 | 211 | 0.214 | 2,091 | 497 | 0.021 | 10 | 0.112 | 56 | 10,268 | 0.022 | 221 | 0.209 | 2,147 |
Total | 38,227 | 0.019 | 737 | 0.155 | 5,922 | 1,501 | 0.018 | 27 | 0.143 | 215 | 39,728 | 0.019 | 764 | 0.154 | 6,137 |
The total Proven and Probable mineral reserves reported for the feasibility study are shown in Table 15-15. Within the designed pits there are a total of 294.5 million tons of waste associated with the in-pit mineral reserves. This results in an overall project strip ratio of 4.10 tons of waste for each ton of material processed.
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Table 15-15: Total Dark Star and Pinion Proven and Probable Mineral Reserves
Dark Star | K Tons | oz Au/ton | K Ozs Au | | |
Proven | 7,618 | 0.037 | 282 | | |
Probable | 24,524 | 0.023 | 557 | | |
P&P | 32,142 | 0.026 | 840 | | |
| | | | | |
Pinion | K Tons | oz Au/ton | K Ozs Au | oz Ag/ton | K Ozs Ag |
Proven | 2,258 | 0.022 | 50 | 0.194 | 437 |
Probable | 37,469 | 0.019 | 714 | 0.152 | 5,700 |
P&P | 39,728 | 0.019 | 764 | 0.154 | 6,137 |
| | | | |
Consolidated Gold Reserves | | | | |
Dark Star & Pinion | K Tons | oz Au/ton | K Ozs Au | | |
Proven | 9,877 | 0.034 | 333 | | |
Probable | 61,993 | 0.021 | 1,271 | | |
P&P | 71,870 | 0.022 | 1,604 | | |
Note: cutoff grades are applied by material type as described in Section 15.2.3
Proven and Probable mineral reserves for Pinion include silver as reported above; and
Due to lack of silver at Dark Star, consolidated gold reserves are reported without silver to avoid reporting erroneous average silver grade.
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SECTION 16 TABLE OF CONTENTS
SECTION | PAGE |
16 | MINING METHODS | 16-1 |
| 16.1 | Waste Rock Storage Areas | 16-1 |
| 16.2 | Stockpiles | 16-3 |
| 16.3 | Mine-Production Schedule | 16-3 |
| 16.4 | Relevant Geotechnical and Hydrological Parameters | 16-20 |
| 16.5 | Mine Process Schedule | 16-20 |
| 16.6 | Equipment Selection and Productivities | 16-27 |
| 16.7 | Equipment Requirements | 16-28 |
| | 16.7.1 | Drilling Equipment | 16-29 |
| | 16.7.2 | Loading Equipment | 16-30 |
| | 16.7.3 | Haulage Productivity | 16-30 |
| | 16.7.4 | Support and Maintenance Equipment | 16-30 |
| 16.8 | Mining Personnel and Staffing | 16-31 |
SECTION 16 LIST OF TABLES
TABLE | DESCRIPTION | PAGE |
Table 16-1: | Waste Containment Requirements (Thousands, Cubic Yards) | 16-2 |
Table 16-2: | Dark Star Mine Production Schedule | 16-3 |
Table 16-3: | Pinion Mine Production Schedule | 16-4 |
Table 16-4: | Total Project Mine Production Schedule | 16-4 |
Table 16-5: | Column Fit Gold Recovery Kinetics Parameters | 16-21 |
Table 16-6: | Railroad-Pinion Process Production Schedule | 16-27 |
Table 16-7: | Schedule Efficiency | 16-28 |
Table 16-8: | Mine Equipment Placed into Service | 16-29 |
Table 16-9: | Personnel Requirements | 16-31 |
SECTION 16 LIST OF FIGURES
FIGURE | DESCRIPTION | PAGE |
Figure 16-1: | Dark Star Pit Design, Year -1 | 16-5 |
Figure 16-2: | Dark Star Pit Design, Year 1 | 16-6 |
Figure 16-3: | Dark Star Pit Design, Year 2 | 16-7 |
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Figure 16-4: Dark Star Pit Design, Year 3 | 16-8 |
Figure 16-5: Dark Star Pit Design, Year 4 | 16-9 |
Figure 16-6: Dark Star Pit Design, Year 5 | 16-10 |
Figure 16-7: Dark Star Pit Design, Year 6 | 16-11 |
Figure 16-8: Pinion Pit Design, Year 1 | 16-12 |
Figure 16-9: Pinion Pit Design, Year 2 | 16-13 |
Figure 16-10: Pinion Pit Design, Year 3 | 16-14 |
Figure 16-11: Pinion Pit Design, Year 4 | 16-15 |
Figure 16-12: Pinion Pit Design, Year 5 | 16-16 |
Figure 16-13: Pinion Pit Design, Year 6 | 16-17 |
Figure 16-14: Pinion Pit Design, Year 7 | 16-18 |
Figure 16-15: Pinion Pit Design, End of Mine Life | 16-19 |
Figure 16-16 - ROM Fraction Extraction Curves | 16-22 |
Figure 16-17: ROM Final Stacking Design | 16-23 |
Figure 16-18: Recovered Gold Ounces by Year | 16-25 |
Figure 16-19: Recovered Gold Ounces Cumulative | 16-25 |
Figure 16-20: Recovered Silver Ounces by Year | 16-26 |
Figure 16-21: Recovered Silver Ounces Cumulative | 16-26 |
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The feasibility study for the Railroad-Pinion project includes eight years of mining at the Dark Star and Pinion deposits. These operations, collectively termed the South Railroad mine, are planned to use open-pit, truck and shovel methods that will feed ore to a single, shared process facility for both deposits. The truck and shovel method provides reasonable costs and selectivity for these deposits.
The methodology used for mine planning to define the economics for the feasibility study includes:
| · | Define assumptions for the economic parameters; |
| · | Define geometric parameters and constraints; |
| · | Define road and ramp parameters; |
| · | Produce mine and process production schedules; |
| · | Define personnel and equipment requirements; |
| · | Estimate mining costs; and |
| · | Perform an economic analysis. |
Parameters, pit optimizations, and pit designs are discussed in Section 15.
16.1 | WASTE ROCK STORAGE AREAS |
Waste storage facility (“WSF”) designs were created for the feasibility study to contain mined material that is not processed. RESPEC has defined Non-acid generating (NAG) and potentially acid generating (PAG) waste, and coded it into the mineral resource block models, based on definitions provided by Stantec. PAG waste material has been handled separately to avoid storage issues with potential acid drainage. A 1.3 swell factor was assumed which provides for both swell when mined and compaction when placed into the facility. The total requirements for containment of waste and leach material are shown in Table 16-1. Due to estimation criteria for PAG and NAG material, a small portion of material does not get sulphur estimations. This material is listed as Unknown in Table 16-1.
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Table 16-1: Waste Containment Requirements (Thousands, Cubic Yards)
Dark Star | PAG | NAG | Unknown | Total | % PAG | % NAG |
Phase 1 | 10,229 | 3,878 | - | 14,107 | 73% | 27% |
Phase 2 | 4,943 | 164 | - | 5,107 | 97% | 3% |
Phase 3 | 15,223 | 5,917 | 72 | 21,212 | 72% | 28% |
Phase 4 | 4,375 | 135 | 0 | 4,510 | 97% | 3% |
Total | 34,770 | 10,093 | 72 | 44,936 | 77% | 22% |
Pinion | | | | | | |
Phase 1 | 1,463 | 4,387 | - | 5,851 | 25% | 75% |
Phase 2 | 5,580 | 6,831 | 1 | 12,412 | 45% | 55% |
Phase 3 | 13,428 | 10,464 | 1 | 23,893 | 56% | 44% |
Phase 4 | 8,949 | 18,720 | 10 | 27,679 | 32% | 68% |
Phase 5 | 2,184 | 25,771 | 240 | 28,194 | 8% | 91% |
Total Pinion | 31,604 | 66,173 | 252 | 98,029 | 32% | 68% |
Total Project | | | | | | |
Dark Star Pinion | 34,770 31,604 | 10,093 66,173 | 72 252 | 44,936 98,029 | 77% 32% | 22% 68% |
Total | 66,374 | 76,267 | 324 | 142,965 | 46% | 53% |
WSF designs were completed for both Dark Star and Pinion.
For Dark Star, it is assumed that two waste WSF’s will be constructed, one on the east side and one on the west side of the deposit. These are shown in Figure 16-7 along with the ultimate pit designs. Pinion will have a single exterior WSF and will also incorporate some minimal storage as backfill in Phase 1 and the north side of the main pit. The WSF design for Pinion is shown in Figure 16-15 along with the Pinion ultimate pit.
For production scheduling each WSF design was sequenced to reduce haulage requirements. The Dark Star West WSF was sequenced into two phases. The first phase will be placed in a single lift, dumping from the 6540 elevation with a maximum height of 51 ft. This allows for a flat haulage profile from the pit exits to the WSF. Once placed, concurrent reclamation of the dumping face can be completed. The second phase will continue in 30 ft lifts to the 6870 elevation.
The Dark Star East WSF will be placed in 4 different phases. The first phase is initially dumped in from the 6510 elevation and establishes a 145 ft high dump phase. The second phase continues in 30 ft lifts to the 6600 elevation. The third phase continues up the valley filling up to the 6720 elevation. Phase 4 completes the dump up to the 6870 elevation.
The Pinion WSF was sequenced using 7 Phases. Phase 1 of the Pinion WSF is to be placed in multiple 90 ft high lifts starting at the 6660 elevation going up to the 6930. After the 6930 elevation dump lifts are designed at 30 ft high in Phase 2 up to the 7050 elevation and Phase 3 completes this area of the dump up to the 7110 elevation. Phase 4 is a valley fill to the south of Phases 1 through 3 at the 6480 elevation with a maximum height of 230 ft. The fifth phase is a 90 ft lift that levels the dump at the 6570 elevation. Phase 6 increases the dump in the west up to the 6930 elevation and Phase 7 raises the dump to 6720 ft in the east area of the dump.
The Pinion backfill WSFs were sequenced in 5 phases to help limit haulage requirements through the life-of-mine (“LOM”). The first phase fills a portion of the Phase 1 pit. Phase 2 fills in an area at the 6960 elevation near the pit exit.
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Phase 3 dumps over the bottom of the Phase 3 pit in a single lift at the 6780 elevation. Phase 4 continues above Phase 3 dump up to the 6870 elevation. Phase 5 completes the backfill WSF filling in the bottom of the Phase 4 pit once it is complete.
All ROM material will be dumped in place directly on the ROM leach pad. No stockpiles are anticipated to be created.
16.3 | MINE-PRODUCTION SCHEDULE |
Production scheduling was completed using Geovia’s MineSched™ (version 2020.1) software. Proven and Probable mineral reserves were scheduled for haulage to the process facility or stockpiles, while waste material was scheduled for WSF’s or backfill locations.
The production schedule considers the processing of material by ROM. Monthly periods were used to create the production schedule with pre-stripping starting in Dark Star at month -6. Start of ROM processing is assumed to be month 2. The maximum rate for ROM processing will be 33,000 tons per day or 12 million tons per year on a 365-day basis. This represents the maximum assumed rate that material can be sprayed and processed. Note that the maximum ore mined is 12.6 million tons in the fifth year. In other years, the maximum spray capacity is not met mostly due to the lack of available ROM material mined.
The total Dark Star mining rate would ramp up from 20,000 tons per day to about 80,000 tons per day over a period of 6 months during pre-production. A maximum of 109,000 tons per day is used in the production schedule during the mining of deeper portions of North Dark Star. The maximum mining rate required in Pinion is 126,000 tons per day.
The mining production for Dark Star and Pinion is summarized yearly in Table 16-2 and Table 16-3 respectively. Table 16-4 summarizes the yearly total mine production schedule. Yearly pit and WSF position maps are presented in Figure 16-1 through Figure 16-15.
Table 16-2: Dark Star Mine Production Schedule
| Units | Yr -1 | Yr 1 | Yr 2 | Yr 3 | Yr 4 | Yr 5 | Yr 6 | Yr 7 | Yr 8 | Total |
Rom Mined | K Tons | 1,150 | 5,037 | 5,552 | 6,211 | 5,097 | 4,072 | 5,023 | - | - | 32,142 |
| Oz Au/t | 0.019 | 0.026 | 0.040 | 0.041 | 0.016 | 0.016 | 0.013 | - | - | 0.026 |
| K Ozs Au | 22 | 129 | 222 | 257 | 80 | 65 | 66 | - | - | 840 |
| Oz Ag/t | - | - | - | - | - | - | - | - | - | - |
| K Ozs Ag | - | - | - | - | - | - | - | - | - | - |
PAG to Dumps | K Tons | 8,627 | 11,081 | 23,951 | 8,543 | 6,854 | 2,723 | 7,622 | - | - | 69,400 |
NAG to Dumps | K Tons | 2,500 | 4,927 | 10,108 | 2,210 | 309 | 28 | 276 | - | - | 20,357 |
Un to Dumps | K Tons | - | - | 147 | - | - | - | 0 | - | - | 147 |
Total to Dumps | K Tons | 11,127 | 16,008 | 34,205 | 10,753 | 7,162 | 2,751 | 7,898 | - | - | 89,903 |
Total Mined | K Tons | 12,277 | 21,045 | 39,756 | 16,964 | 12,259 | 6,823 | 12,921 | - | - | 122,045 |
Strip Ratio | K Tons | 9.68 | 3.18 | 6.16 | 1.73 | 1.41 | 0.68 | 1.57 | | | 2.80 |
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Table 16-3: Pinion Mine Production Schedule
| Units | Yr -1 | Yr 1 | Yr 2 | Yr 3 | Yr 4 | Yr 5 | Yr 6 | Yr 7 | Yr 8 | Total |
Rom Mined | K Tons | - | 1,108 | 2,136 | 4,666 | 5,222 | 8,491 | 4,524 | 7,367 | 6,214 | 39,728 |
| Oz Au/t | - | 0.018 | 0.020 | 0.019 | 0.019 | 0.018 | 0.017 | 0.019 | 0.023 | 0.019 |
| K Ozs Au | - | 20 | 42 | 90 | 101 | 154 | 75 | 137 | 145 | 764 |
| Oz Ag/t | - | 0.110 | 0.110 | 0.147 | 0.159 | 0.134 | 0.131 | 0.171 | 0.204 | 0.154 |
| K Ozs Ag | - | 122 | 235 | 687 | 828 | 1,141 | 594 | 1,259 | 1,270 | 6,137 |
PAG to Dumps | K Tons | - | 2,807 | 2,407 | 21,109 | 23,207 | 10,322 | 3,221 | 1,883 | 611 | 65,568 |
NAG to Dumps | K Tons | - | 6,601 | 2,892 | 10,672 | 15,584 | 27,250 | 32,159 | 35,904 | 7,456 | 138,518 |
Un to Dumps | K Tons | - | - | - | 2 | - | 2 | 61 | 454 | 6 | 525 |
Total to Dumps | K Tons | - | 9,409 | 5,299 | 31,783 | 38,791 | 37,574 | 35,441 | 38,241 | 8,073 | 204,611 |
Total Mined | K Tons | - | 10,516 | 7,435 | 36,449 | 44,013 | 46,065 | 39,965 | 45,608 | 14,287 | 244,338 |
Strip Ratio | K Tons | | 8.49 | 2.48 | 6.81 | 7.43 | 4.43 | 7.83 | 5.19 | 1.30 | 5.15 |
Table 16-4: Total Project Mine Production Schedule
| Units | Yr -1 | Yr 1 | Yr 2 | Yr 3 | Yr 4 | Yr 5 | Yr 6 | Yr 7 | Yr 8 | Total |
Rom Mined | K Tons | 1,150 | 6,145 | 7,688 | 10,877 | 10,319 | 12,563 | 9,547 | 7,367 | 6,214 | 71,870 |
| Oz Au/t | 0.019 | 0.024 | 0.034 | 0.032 | 0.017 | 0.017 | 0.015 | 0.019 | 0.023 | 0.022 |
| K Ozs Au | 22 | 149 | 264 | 347 | 180 | 218 | 141 | 137 | 145 | 1,604 |
| Oz Ag/t | - | 0.020 | 0.031 | 0.063 | 0.080 | 0.091 | 0.062 | 0.171 | 0.204 | 0.085 |
| K Ozs Ag | - | 122 | 235 | 687 | 828 | 1,141 | 594 | 1,259 | 1,270 | 6,137 |
PAG to Dumps | K Tons | 8,627 | 13,888 | 26,358 | 29,653 | 30,060 | 13,045 | 10,843 | 1,883 | 611 | 134,967 |
NAG to Dumps | K Tons | 2,500 | 11,528 | 12,999 | 12,882 | 15,893 | 27,278 | 32,435 | 35,904 | 7,456 | 158,875 |
Un to Dumps | K Tons | - | - | 147 | 2 | - | 2 | 61 | 454 | 6 | 672 |
Total to Dumps | K Tons | 11,127 | 25,416 | 39,504 | 42,536 | 45,953 | 40,325 | 43,339 | 38,241 | 8,073 | 294,514 |
Total Mined | K Tons | 12,277 | 31,561 | 47,192 | 53,413 | 56,272 | 52,888 | 52,886 | 45,608 | 14,287 | 366,384 |
Strip Ratio | K Tons | 9.68 | 4.14 | 5.14 | 3.91 | 4.45 | 3.21 | 4.54 | 5.19 | 1.30 | 4.10 |
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Figure 16-1: Dark Star Pit Design, Year -1
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Figure 16-2: Dark Star Pit Design, Year 1
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Figure 16-3: Dark Star Pit Design, Year 2
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Figure 16-4: Dark Star Pit Design, Year 3
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Figure 16-5: Dark Star Pit Design, Year 4
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Figure 16-6: Dark Star Pit Design, Year 5
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Figure 16-7: Dark Star Pit Design, Year 6
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Figure 16-8: Pinion Pit Design, Year 1
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Figure 16-9: Pinion Pit Design, Year 2
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Figure 16-10: Pinion Pit Design, Year 3
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Figure 16-11: Pinion Pit Design, Year 4
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Figure 16-12: Pinion Pit Design, Year 5
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Figure 16-13: Pinion Pit Design, Year 6
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Figure 16-14: Pinion Pit Design, Year 7
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Figure 16-15: Pinion Pit Design, End of Mine Life
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16.4 | Relevant Geotechnical and Hydrological Parameters |
Pit designs for the mining production schedule have considered the geotechnical parameters and slope recommendations from Golder (2021) as summarized in Section 15.2.2. Mining of the Pinion and Dark Star open pits will require dewatering based on the studies summarized by Stantec (2022).
16.5 | Mine Process Schedule |
Forte Dynamics Inc. (Forte) utilized a dynamic heap leach model for the GSV heap leach facility (HLF) for forecasting recoveries for the Feasibility Study for use in financial and NPV analysis by GSV. A stacking plan for the selected mine plan was developed and recovery modeling of both gold and silver was completed.
The model Forte is capable of evaluating various stacking configurations, mine plans, application rates, barren flow rates, leach cycles, and lift heights. GSV used the recovery and total flow information in their financial analysis and NPV calculations.
RESPEC and GSV provided Forte with the ROM mine plan for loading the model with planned ore tons, contained ounces, and recoverable ounces by ore type as specified by Simmons Consulting. The recoverable gold was calculated within the mine plan, utilizing a head grade to recoverable grade relationship, and was provided in the mine plan from RESPEC with equations for the recoverable gold developed by Simmons Consulting.
Using the information provided, the extraction rate was then generated, by Forte, by estimating the rate of gold extraction on a daily basis using first principles of gold extraction and kinetics. The provided column leach testing data was analyzed, by ore type, as described by Simmons Consulting, and curve fit to produce kinetic extraction curves versus time. The parameters of these kinetic extraction curves were combined with GSV's predicted ultimate recoverable gold estimates, as provided in the mine plan from RESPEC. This was then input to the recovery model to generate the gold and silver recovery profile over the life of the HLF for the ROM mine plan. The equation below describes the curve fit utilized for extraction within the model by ore type:
| | (Equation 1) |
Where Ext(t) is the calculated percent gold extracted as a function of time, t is time in days, and A and B are constants that are used to fit extraction to the indicated column extraction by ore type. Table 16-5 contains the calculated parameters broken down by ore type, and Figure 16-16 shows the corresponding curves.
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Table 16-5: Column Fit Gold Recovery Kinetics Parameters
Material Type | Pit | A-Value ROM | B-Value ROM |
Type 1: Oxide – Low Silica | Dark Star North | 0.975 | -0.860 |
Type 2: Oxide – High Silica | Dark Star North | 0.481 | -0.860 |
Type 3: Transitional – Low Silica | Dark Star North | 0.975 | -0.860 |
Type 4: Transitional – High Silica | Dark Star North | 0.481 | -0.860 |
Type 5: Oxide – Low Silica | Dark Star Main | 0.494 | -0.960 |
Type 6: Oxide – High Silica | Dark Star Main | 0.286 | -0.960 |
Type 7: Transitional – Low Silica | Dark Star Main | 0.494 | -0.960 |
Type 8: Transitional – High Silica | Dark Star Main | 0.286 | -0.960 |
Type 9: Oxide | Pinion DDG | 0.520 | -0.970 |
Type 10: Oxide | Pinion West | 0.208 | -0.970 |
Type 11: Oxide | Pinion East | 0.260 | -0.970 |
Type 12: Oxide | Pinion MTP | 0.332 | -0.970 |
Type 13: Transitional | Pinion DDG | 0.458 | -0.970 |
Type 14: Transitional | Pinion West | 0.183 | -0.970 |
Type 15: Transitional | Pinion East | 0.229 | -0.970 |
Type 16: Transitional | Pinion MTP | 0.292 | -0.970 |
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Figure 16-16 - ROM Fraction Extraction Curves
Forte was provided with the various ore properties. Forte also analyzed various data sets provided by the Project TeamListed here are the key input parameters used for the HLF recovery model, for ROM ore properties:
| ● | Initial Gravimetric Moisture Content – 5.80% |
| ● | Residual Moisture Content – 7.53% |
| ● | Uncompacted Ore Density – 110.0 lbs/ft3 |
| ● | Compacted Ore Density – 114.8 lbs/ft3 |
| ● | Saturated Hydraulic Conductivity – 0.107 cm/sec |
| ● | Leaching Application Rate – 0.0033 gpm/ft2 |
| ● | Target Initial Leach Cycle – 100 days |
Forte generated stacking plans for the mine plan provided, working within existing boundaries for the HLF.
While generating the stacking plans, the following constraints and parameters were assessed, including input from the GSV Project Team:
| ● | Feasibility of solely using the primary HLF footprint and staying under the 300 foot limit |
| ● | Feasibility of using both the primary and alternate HLF footprints |
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| ● | Stack planning and impact on haul distances, operational parameters (such as leach cycle), and recovery |
| ● | Liner expansion on primary HLF |
| ● | Operational access points and ramp variations |
The ROM only stacking plan was divided into a north and south side for the first 11 lifts. The north side is for the Dark Star pit, and the south side is for the Pinon pit. This division helps keep the haulage for each pit as short as possible. Doing this required the pad to have three different access points. The first is on the north side at the 6625 elevation and ramps down to the first lifts on the 6570. The first lifts on the north side have a minimal area that yield a lower initial leaching cycle. The second access point is on the south side at 6687 for the Pinion pit. This access point will ramp down to its first lifts and then eventually ramp up to the top of the pad. The third access point is on the north side when the first access point no longer allows for ramping up. The access point is at the 6750 elevation. After lift 11, there is only one ramp to the top of the pad coming from the south at access point two. Figure 16-17 shows the final stacking configurations for the ROM mine plan.
Figure 16-17: ROM Final Stacking Design
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The recovery model utilizes first principles of hydrodynamics and kinetics to simulate recovery through time for the GSV HLF. The model utilizes discretized blocks to track tons and recoverable ounces placed, flow rate, leach cycle, application rate, extracted ounces, moisture content, solution tenor, and recovery from the HLF.
The model was developed to allow for flexibility in scenario analysis to change various input parameters to understand the overall impacts on recovery of gold. The specified flowrate within each model run reflects the targeted flowrate to the HLF and is limited based on the available leach area and only reaches the targeted barren solution flow when adequate area is available based on the associated application rate. The parameters are also separated by ore designation as ROM as required by the mine plan.
The model utilizes the Brooks-Corey methodology, Equation 2, for representing the flow through the pad based on leaching application rate and ore properties:
| | (Equation 2) |
This methodology captures micropore and macropore flow within heap leach facilities. Additionally, the model captures the impact of changes in the application rate and the effect on the degree of saturation within the pad. Equation 3 describes how this is captured in the recovery model.
| | (Equation 3) |
The results of the recovery model for the ROM mine plan resulted in 991,134 recovered gold ounces and 579,993 recovered silver ounces by the end of stacking. With residual leaching operations post stacking through the end of year 2038, the end gold recovery was 1,033,067 ounces and the end silver recovery was 660,896 ounces. This equated to an overall 99.6% recovery of recoverable gold ounces placed and 99.8% recovery of recoverable silver ounces placed. The ending remaining extractable ounces were 1,443 and 2,140 for gold and silver respectively. Additionally, the ounces in solution inventory were 250 and 574 for gold and silver respectively. The below accounts for a 7 day lag between placement and leaching operations, accounting for material placement, ripping as required, and placement of irrigation lines to supply barren leach solution to the fresh ore.
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Figure 16-18: Recovered Gold Ounces by Year
Figure 16-19: Recovered Gold Ounces Cumulative
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Figure 16-20: Recovered Silver Ounces by Year
Figure 16-21: Recovered Silver Ounces Cumulative
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Table 16-5 shows the recovery through time of the recoverable ounces by month for the ROM mine plan. Table 16-6 shows the yearly process production summary by process type. The rows labeled “K Au Rec” shows the thousands of recoverable ounces of gold and the rows labeled “K Au Prod” are the thousands of ounces of gold produced. Forte has put together the resulting estimated gold production plan, but ultimately the metallurgical and processing consultants are responsible for the final production numbers with regards to plant efficiency, which may result in differences in final production values from what is in the cash-flow model.
Table 16-6: Railroad-Pinion Process Production Schedule
ROM | Units | Pre- Prod | YR 1 | YR 2 | YR 3 | YR 4 | YR 5 | YR 6 | YR 7 |
kTons | 0 | 765 | 6,530 | 7,688 | 10,800 | 10,396 | 11,940 | 10,170 |
Oz Au/t | 0 | 0.019 | 0.024 | 0.034 | 0.032 | 0.017 | 0.017 | 0.015 |
K Oz Au | 0 | 14.5 | 156.3 | 263.8 | 345.7 | 181.7 | 205.4 | 154.2 |
K Oz Au Rec | 0 | 9.8 | 111.8 | 192.7 | 233.2 | 108.2 | 119.6 | 92.6 |
K Oz Au Prod | 0 | 7.6 | 99.3 | 192.7 | 203.2 | 119.0 | 107.8 | 97.3 |
Oz Ag/t | 0 | - | 0.019 | 0.031 | 0.063 | 0.080 | 0.090 | 0.066 |
K Oz Ag | 0 | - | 121.7 | 235.0 | 679.1 | 835.9 | 1,068.9 | 666.8 |
K Oz Ag Rec | 0 | - | 13.2 | 24.6 | 78.0 | 87.9 | 110.8 | 67.5 |
K Oz Ag Prod | 0 | - | 8.7 | 26.0 | 52.6 | 83.8 | 93.4 | 71.8 |
YR 8 | YR 9 | YR 10 | YR 11 | YR 12 | YR 13 | YR 14 | YR 15 | YR 16 | Total |
7,367 | 6,214 | - | - | - | - | - | - | - | 71,870 |
0.019 | 0.023 | - | - | - | - | - | - | - | 0.022 |
137.1 | 145.4 | - | - | - | - | - | - | - | 1,604 |
77.3 | 89.5 | - | - | - | - | - | - | - | 1,035 |
78.2 | 91.9 | 22.4 | 9.8 | 2.5 | 0.6 | 0.4 | 0.2 | 0.2 | 1,033 |
0.171 | 0.204 | - | - | - | - | - | - | - | 0.080 |
1,259.1 | 1,270.3 | - | - | - | - | - | - | - | 6,137 |
138.9 | 142.9 | - | - | - | - | - | - | - | 664 |
111.2 | 142.4 | 26.8 | 28.9 | 8.7 | 3.6 | 1.6 | 0.8 | 0.4 | 661 |
16.6 | Equipment Selection and Productivities |
The feasibility study has assumed owner mining to keep the mining cost lower than it would be with contract mining, though the costs reflect a leasing option for primary mining equipment. The production schedule was used along with additional efficiency factors, cycle times, and productivity rates to develop the first principal hours required for primary mining equipment to achieve the production schedule. Primary mining equipment includes drills, loader, hydraulic shovels, and 200-ton capacity haul trucks.
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The South Railroad mine is anticipated to operate 24 hours per day utilizing four crews of workers, each working four days on and four days off. It is anticipated that these crews would rotate between day shift and night shift. The daily shift schedule would be 12 hours per day, reduced to account for standby time including startup/shutdown, lunch, breaks, and operational delays totaling 3.0 hours per day. This allows for 21 work hours in each day or an 87.5% schedule efficiency. The estimated schedule efficiency is shown in Table 16-7.
Table 16-7: Schedule Efficiency
| Units | Value |
Shifts per Day | shift/day | 2 |
Hours per Shift 12 | hr/shift | 12 |
Theoretical Hours per Day 24 | hrs/day | 24 |
Shift Startup / Shutdown | hrs/shift | 0.5 |
Lunch | hrs/shift | 0.5 |
Breaks | hrs/shift | 0.25 |
Operational Standby | hrs/shift | 0.25 |
Total Standby / shift | hrs/shift | 1.50 |
Total Standby / day | hrs/day | 3.00 |
Available Work Hours | hrs/day | 21.00 |
Schedule Efficiency | % | 87.5% |
16.7 | Equipment Requirements |
Mine equipment is planned to be put into service over a period of three years (pre-production through Year 2). This equipment is to be used through the LOM. Table 16-8 shows the yearly schedule for mining equipment to be put into service.
To reduce capital requirements, the equipment is assumed to be acquired through a combination of leasing for most production and support equipment, rentals for pioneering drills, and purchase of some equipment.
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Table 16-8: Mine Equipment Placed into Service
Primary Mining Equipment | Units | Yr -1 | Yr 1 | Yr 2 | Total |
Pioneer Drill | # | - | - | - | - |
Production Drill | # | 3 | - | 1 | 4 |
25-yd Loader | # | 1 | - | - | 1 |
30 cu yd Hyd. Shovel | # | 1 | - | 1 | 2 |
200 ton Haul Trucks | # | 5 | 3 | 5 | 13 |
Support Equipment | | | | | |
600 HP Dozer | # | 2 | - | 2 | 4 |
900 HP RTD | # | 1 | - | - | 1 |
18' Motor Grader | # | 2 | - | - | 2 |
Water Truck - 20,000 Gallon | # | 2 | - | - | 2 |
Truck and Lowboy | # | 1 | - | - | 1 |
6 cu yd backhoe | # | 1 | - | - | 1 |
Pit Pumps (1450 gpm) | # | 2 | - | - | 2 |
132 ton Crane | # | 1 | - | - | 1 |
Flatbed | # | 2 | - | - | 2 |
Blasting | | | | | |
Skid Loader | # | 1 | - | - | 1 |
Mine Maintenance | | | | | |
Lube/Fuel Truck | # | 1 | - | - | 1 |
Mechanics Truck | # | 2 | - | - | 2 |
Tire Truck | # | 1 | - | - | 1 |
Pioneer drills would be smaller air-track drills with contained cabs and the production drills are anticipated to be 45,000lb-pulldown, track-mounted, rotary blast-hole drills. An 83% efficiency factor was used for pioneer drilling, production, and controlled blast hole drilling. Penetration rates of 135.31, 135.31, 157.87, and 124.25 feet per hour were used along with 2.8, 2.8, 3.0, and 4.0 minutes per hole of non-drilling times for waste production, ore production, trim-rows, and pioneer drilling, respectively.
Based on the parameters used, only one pioneer drill would be required during startup of each phase. Due to the short duration of the pioneer requirements these drills are assumed to be rented during the periods they are needed. Four production drills are estimated to be needed. It is assumed that these drills will last through the LOM with an availability that is assumed to be 85% for the life of the drill.
Drilling patterns were adjusted by material. The adjustments were made based on studies by Blast Dynamics (2021) to create a nominal size distribution with a P80 of -6 inches. Based on that work, blast patterns where ore is anticipated are estimated to use 17 ft spacing and 15 ft burden with 3 ft sub drill. With 7.875 inch diameter drill holes and stemming of 10 ft, this results in a powder factor of 0.697 lbs of explosive per ton of material blasted. This was determined to be beneficial for gold recovery.
Waste patterns are assumed to have 19 ft hole spacing and 17 ft burden and 0.512 lbs of explosive per ton of material blasted. Because waste is not processed, the additional breakage in the patterns is not needed. The increase in spacing and burden and the decrease in powder factors for the shot patterns reduces the overall cost of drilling and blasting while remaining reasonable for material handling with shovels, loaders, and trucks.
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During pioneering operations at the start of each deposit, a smaller drill will be used due to uneven terrain. At the start of Dark Star, it is assumed that 20% of blasting will be done as pioneering for the first two months. At the start of Pinion Phases 1 through 3, 10% of the blasting for the first two months is assumed to be done with pioneer drilling.
Trim row shot patterns are to be used with lower powder factors and tighter spacing of drill holes near pit high walls to minimize damage to the walls. The feasibility study assumes that 5% of the waste blasted will be in the form of trim row blasting. Trim row patterns are to be drilled using the production drills.
Loading equipment is anticipated to include one 25 cubic yard type loader and two 30 cubic yard type hydraulic shovels. The theoretical productivity for the loader was estimated to be 2,937 tons per hour, or 2,438 tons per hour after an operating efficiency of 83%. The assumed availability starts at 90% and is reduced 1% per year until it reaches 85%, and then is held constant through the life of the loader. No replacement loaders were assumed. The overall use of available hours is 74%.
Two hydraulic shovels will be used as the primary loading tool. The initial shovel starts operating in month -6 and the second shovel starts working in month 13. The theoretical productivity was estimated to be 3,792 tons per hour or 3,147 tons per hour after applying 83% efficiency. As with the loader, the assumed availability starts at 90% and declines at 1% per year to a low of 85% and then remains the same through the LOM. The overall use of operating hours is 98%.
16.7.3 | Haulage Productivity |
Haul trucks are assumed to be 200-ton capacity, rigid frame trucks. Haulage profiles were used inside of MineSched based on effective haulage gradients for empty and full routes. A rolling resistance of 3% was also used for the haulage speed calculations. In addition, bench haulage strings were created which depict the planned haulage routes on each bench where mining occurs.
Hydraulic shovel loading time of 2.95 minutes was used, plus 0.5 minutes and a spot and dump time of 1.5 minutes was added. Loading time was adjusted in spreadsheets to 3.93 minutes plus 0.5 minutes for spotting at the loader for trucks that would be loaded using a loader.
A capacity of 188 tons per load was used as dry tonnage to reflect the dry densities in the mineral resource block model. The number of trucks was calculated to increase over time due to farther haulage with some pit phases. A total of 13 haul trucks are put into service to maintain the production schedule. This assumes a 1% per year declining availability from 90% down to 85%.
Out of the 13 life of mine trucks, five would be purchased through a lease option during pre-production with three additional trucks in year 1, and five additional trucks in year 2 with the purchase of the additional shovel.
16.7.4 | Support and Maintenance Equipment |
Support equipment is used to maintain the roads, pits, and dumps to enable mining equipment to operate in an efficient manner. The maintenance equipment is used on site to maintain the mining equipment. The total number of equipment to be put into service on the site is shown in Table 16-8.
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16.8 | Mining Personnel and Staffing |
Table 16-9 shows the estimated personnel requirements. This is based on the number of people that will be required to operate, supervise, maintain, and plan for operations to achieve the production schedule.
Table 16-9: Personnel Requirements
Mining General Personnel | Units | Yr -1 | Yr 1 | Yr 2 | Yr 3 | Yr 4 | Yr 5 | Yr 6 | Yr 7 | Yr 8 | Max |
Mine Superintendent | # | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Mine General Foreman | # | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Mine Foremen | # | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
Chief Mine Engineer | # | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Mine Engineer | # | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |
Chief Surveyor | # | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Surveyor | # | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
Chief Geologist | # | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Ore Control Geologist | # | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |
Samplers | # | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |
Total Mine General | # | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 | 18 |
Mine Operations Hourly Personnel Operators
Blasters | # | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |
Blaster's Helpers | # | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |
Drill Operators | # | 12 | 12 | 16 | 16 | 16 | 16 | 16 | 16 | 12 | 16 |
Loader Operators | # | 10 | 10 | 15 | 15 | 15 | 15 | 15 | 15 | 13 | 15 |
Haul Truck Operators | # | 20 | 32 | 52 | 52 | 52 | 52 | 52 | 52 | 52 | 52 |
Support Equipment Operators | # | 26 | 26 | 33 | 33 | 33 | 33 | 33 | 33 | 33 | 33 |
General Mine Labors | # | - | - | - | - | - | - | - | - | - | - |
Total Operators | # | 72 | 84 | 120 | 120 | 120 | 120 | 120 | 120 | 114 | 120 |
Mechanics
Mechanics - Drilling | # | 6 | 6 | 8 | 8 | 8 | 8 | 8 | 8 | 6 | 8 |
Mechanics - Loading | # | 5 | 5 | 8 | 8 | 8 | 8 | 8 | 8 | 7 | 8 |
Mechanics - Haulage | # | 10 | 16 | 26 | 26 | 26 | 26 | 26 | 26 | 26 | 26 |
Mechanics - Support | # | 13 | 13 | 17 | 17 | 17 | 17 | 17 | 17 | 17 | 17 |
Total Mechanics | # | 34 | 40 | 59 | 59 | 59 | 59 | 59 | 59 | 56 | 59 |
Maintenance
Maintenance Superintendent | # | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Maintenance Foreman | # | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
Maintenance Planners | # | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |
Light Vehicle Mechanic | # | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |
Welder | # | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
Servicemen | # | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
Tireman | # | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |
Maintenance Labor | # | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
Total Maintenance | # | 23 | 23 | 23 | 23 | 23 | 23 | 23 | 23 | 23 | 23 |
Total Personnel - Mining Personnel | # | 147 | 165 | 220 | 220 | 220 | 220 | 220 | 220 | 211 | 220 |
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SECTION 17 TABLE OF CONTENTS
17 | RECOVERY METHODS | 17-1 |
| 17.1 | Gold and Silver Recoveries | 17-1 |
| 17.2 | Reagents and Consumptions | 17-1 |
| | 17.2.1 | Sodium Cyanide | 17-1 |
| | 17.2.2 | Lime | 17-1 |
| | 17.2.3 | Activated Carbon | 17-2 |
| | 17.2.4 | Sodium Hydroxide (Caustic) | 17-2 |
| | 17.2.5 | Nitric Acid | 17-2 |
| | 17.2.6 | Fluxes | 17-2 |
| | 17.2.7 | Antiscalant | 17-2 |
| 17.3 | Process Flowsheet | 17-2 |
| 17.4 | Rom Truck Stacking | 17-4 |
| 17.5 | Leaching And Solution Handling | 17-4 |
| 17.6 | Leach Pad Phasing and Construction | 17-5 |
| | 17.6.1 | Solution Ponds | 17-5 |
| 17.7 | ADR PLANT | 17-6 |
| | 17.7.1 | Adsorption | 17-8 |
| | 17.7.2 | Carbon Acid Wash | 17-8 |
| | 17.7.3 | Desorption | 17-8 |
| | 17.7.4 | Electrowinning | 17-9 |
| | 17.7.5 | Carbon Handling & Thermal Regeneration | 17-9 |
| | 17.7.6 | Refining & Smelting | 17-10 |
| 17.8 | Adr Reagents and Utilities | 17-10 |
| 17.9 | Laboratory Facilities | 17-10 |
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SECTION 17 LIST OF FIGURES
FIGURE | DESCRIPTION | PAGE |
| | |
Figure 17-1: | Proces.s Flowsheet for the South Railroad Project | 17-3 |
Figure 17-2: | ADR Recovery Plant General Arrangement | 17-7 |
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The process selected for recovery of gold and silver from the Pinion and Dark Star ore is a conventional heap-leach recovery circuit. The ore will be mined by standard open pit mining methods from two separate pits. Pinion and Dark Star ore will be truck-stacked on the heap as Run-of-Mine (ROM) ore directly, without crushing.
Oxide and transition material types will be leached with a dilute cyanide solution. The leached gold and silver will be recovered from solution using a carbon adsorption circuit. Gold and silver will be stripped from carbon using a desorption process, followed by electrowinning to produce a precipitate sludge. The precipitate sludge will be processed using a retort oven for drying and mercury separation and recovery, and then refined in a melting furnace to produce gold and silver doré bars.
The Pinion and Dark Star deposits have a total estimated mineral reserve of 71.9 million tons. The total estimated mine life is 8 years; solution application on the heap leach pad will continue for an additional 2.5 years after mining operations have ceased to recover additional solubilized metal ounces. The nominal ore placement rate on the pad is an average of 9 million tons per annum, equivalent to 24,700 tons per day.
17.1 | Gold and Silver Recoveries |
The gold and silver recoveries for heap leaching of the Pinion and Dark Star ore have been taken from the recommendations detailed in Section 13 of this Technical Report.
For the Pinion and Dark Star mineral resources, the overall life-of-mine average gold recovery for the ore is estimated at 64.5 percent. For the Pinion and Dark Star mineral resources, the overall life-of-mine average silver recovery for the ore is estimated at 11 percent.
17.2 | Reagents and Consumptions |
The major reagent consumptions for heap leaching of Pinion and Dark Star ore have been taken from available metallurgical test results from column leach tests on crushed material. No test data exists at the ROM particle size, so the selected reagent consumptions have been estimated based on test results on the coarsest samples tests, minus
1.5 inch (-37 mm).
Sodium cyanide (NaCN) will be used in the leaching process and will be delivered in tanker trucks as a liquid at 30% concentration by weight (1.15 SG). Sodium cyanide will be stored in a 25,000 gallon steel tank at the ADR area within concrete containment and will be distributed to the process by a distribution pump with individual control valve stations at each point of use.
All cyanide distribution lines will be double-containment, either by “pipe-within-pipe” or “pipe-overliner” containment systems. Cyanide consumptions have been estimated as follows:
| ● | Pinion ROM – 0.44 lb/ton (0.22 kg/tonne) ore |
| ● | Dark Star ROM – 0.46 lb/ton (0.23 kg/tonne) ore |
Pebble quicklime (CaO) will be used to treat the ROM ore prior to cyanide leaching to maintain the alkaline pH. Lime will be delivered in bulk by 20-ton trucks, which will be off-loaded pneumatically into a 100-ton storage silo with a variable speed feeder that will meter lime directly onto the ore being carried by haul trucks to the heap leach pad and will be added in proportion to the tonnage of ore in each truck.
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Lime will be consumed at an estimated rate of 2.0 lb/ton (1.0 kg/tonne) ore for the Pinion and Dark Star ROM ore.
Activated carbon will be used to adsorb precious metals from the leach solution in the adsorption columns. Make-up carbon will be 6 x 12 mesh and will be delivered in 2,200 lb supersacks. It is estimated that approximately 3-4% of the carbon stripped will have to be replaced due to carbon fines losses.
17.2.4 | Sodium Hydroxide (Caustic) |
Sodium hydroxide (caustic) will be delivered to site as a liquid at 50% caustic by weight (1.53 SG). Liquid caustic will be stored in a 15,000 gallon steel tank and metered to the strip solution tank and acid wash circuits by a distribution pump with individual control valve stations at each point of use.
Nitric acid (7%) will be used in the acid wash section of the elution circuit prior to desorption. Nitric acid will be delivered to site as a liquid at 57% solution strength and diluted to 7% in the dilute acid tank. Acid washing consists of circulating a dilute acid solution through the bed of carbon to dissolve and remove scale from the carbon. Carbon acid washing will be done before each desorption cycle, or as required to maintain carbon activity level.
Various fluxes will be used in the smelting process to remove impurities from the bullion in the form of a glass slag. The normal flux components are a mix of silica sand, borax, and sodium carbonate (soda ash). The flux mix composition is variable and will be adjusted to meet individual project smelting needs: fluorspar and/or potassium nitrate (niter) are sometimes added to the mix. Dry fluxes will be delivered in 50 lb bags. Average consumption of fluxes has been estimated to be 2 lb per lb of gold and silver produced.
Antiscalant will be used to prevent the build-up of scale in the process solutions and heap irrigation lines. Antiscalant will be added directly into pipelines or tanks, and consumption will vary depending on the concentration of scale-forming species in the process stream. Delivery will be in liquid form in 264 gallon (1 m3) totes.
Antiscalant will be added directly from the supplier tote bins into the pregnant, barren, and desorption pumping systems using variable speed chemical-metering pumps. On average, antiscalant consumption is expected to be about 6 ppm for leach solutions and 10 ppm for strip solutions to be treated.
An overall process flowsheet for the project is presented in Figure 17-1.
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Figure 17-1: Process Flowsheet for the South Railroad Project
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Excavation, loading, hauling, and dumping of ROM material will be conducted by the mining fleet. ROM ore will be loaded into 200-ton haul trucks and transported to the active stacking face at an average rate of 24,700 tons/day. ROM production and stacking will vary based on the ore availability from the mine pits.
Quicklime (CaO) will be used for pH control of the process with an estimated consumption of 2.0 lb/ton for both Pinion and Dark Star based on metallurgical test work. Pebble quicklime will be stored in a 100-ton silo which will be equipped with a variable speed feed system that will feed a clam gate for lime addition to the trucks. Once the haul trucks have been loaded, the lime will be metered directly into the loaded trucks which will then deliver the ore to the active stacking area. One lime silo will be installed at the haul road for both the Pinion and Dark Star mine pits. Lime will be added in proportion to the tonnage of ore being hauled.
The ore haul trucks will operate on top of the lift being constructed. A ramp, or ramps, will be constructed to reach the top of each current lift. The trucks will direct-dump the ore on the current lift and a dozer will push the ore over the edge of the lift to form the expanding heap. The stacked ore will be deep-shank cross-ripped with the dozer prior to leaching. Ore will be stacked in 30 ft high lifts with a maximum ore heap height of 300 ft.
Prior to stacking a new lift over the top of an old one, the top of the old lift will be cross-ripped to break up any cemented/compacted sections and to redistribute any fines that may have been stratified by the irrigation solution or rainfall.
Following stacking, the ore will be drip irrigated with dilute cyanide leach solution and the resulting gold-bearing solutions collected in the pregnant solution tank. The leach pad will be a multiple-lift, single-use type pad.
17.5 | Leaching and Solution Handling |
After each leach cell has been stacked and dozer ripped, the irrigation system will be installed. Dripline emitters will be used to apply a dilute cyanide solution at an application rate of 0.0033 gpm/ft2 for ROM ore. A leach cycle of 100 days has been selected for ROM, based on a review of the leach curves.
Barren leach pH solution will be maintained at a minimum value of 10 and will be controlled by the addition of lime on the fresh ore. Barren solution will be delivered from a barren tank located at the recovery plant, by high-flow high-head pumps at a nominal flow rate of 5,000 gpm. This solution will be carried by a steel pipeline to the base of the heap and then to a network of sub-headers and risers to the top of the heap where it is finally applied to the material by drip emitters.
Solution passing through the heap will dissolve the values contained therein and be collect in a network of perforated solution collection pipes, which feed to a common discharge point at the base of the heap. The solution will then be carried by gravity to a pregnant solution tank. Excess solution from the heap will overflow from the pregnant tank to a lined process pond. Pregnant solution is pumped from the pregnant tank to the adsorption carbon column circuit at the recovery plant.
The carbon adsorption circuit consists of two trains of cascade-style columns. Pregnant solution flows through the columns to load the soluble gold onto the carbon. Barren solution exiting the columns is directed to the barren tank where make up cyanide is added, and the solution returned to the heap for further leaching. Overflow from the barren tank is directed to a process solution pond, which overflows to the event pond.
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17.6 | Leach Pad Phasing and Construction |
It is assumed the leach pad will be constructed in four phases. The estimated lined areas for Phase 1, Phase 2, Phase 3, and Phase 4 are approximately 3,560,000 ft2, 3,180,000 ft2, 2,130,000 ft2, and 1,110,000 ft2 respectively, and will contain approximately 71.9 million tons of material.
For the initial the first year ROM ore will be stacked with trucks in nominal 30 ft thick lifts across the entire eastern toe are of Phase 1 leach pad. Barren solution containing cyanide will be irrigated onto the ore using drip irrigation. Pregnant solution will be collected at the base of the heap by the leach pad liner and collection system, which will route the pregnant solution to the process plant for gold recovery and reagent reconditioning. Once an area has been leached for the target time or metal recovery, the next lift will be placed on top of the already leached ore and the process repeated. This will be continued until the heap is stacked to the design elevation of 6989 ft for the 71.9 million ton capacity.
An overliner layer will be provided to protect the geomembrane primary liner from mechanical damage during ore stacking as well as weather conditions before the geomembrane is covered with ore. The overliner will also provide drainage of leach solutions and storm water entering the system both through the permeability of the drainage gravel and a network of drainage pipes installed within the overliner. The overliner material will be 18-inch thick and consist of select, durable crushed ore screened to a P100 of 1.5-inch.
The primary geosynthetic liner will be a composite liner system constructed using a robust, 80-mil thick HDPE material with the bottom side textured to provide an intimate bond with the underlying low permeability soil layer. This configuration is used on the majority of the operating leach pads in the industry. The installation specifications include a robust Quality Assurance/Quality Control program to provide assurance of a leak-free installation.
The low permeability soil layer will utilize an on-site clay source to produce a compacted clay liner with identified properties to have a maximum permeability of 10-6 cm/sec.
The leak detection system for the leach pad will consist of gravel fill trenches with perforated collection pipes installed directly underneath the primary collection pipes beneath the composite liner system in each of cells for the leach pad. These leak detection pipes will be extended to and are booted through the perimeter solution collection trench liner system to discharge into the lined solution collection trench 3-feet above the trench bottom. This will enable visual monitoring and sampling of the leak detection ports as necessary.
Two storage ponds, the process pond and event pond, are planned for the management of solutions. The process pond will collect overflow from the pregnant solution tank and is sized to additionally contain 24 hours of pregnant solution working volume, essentially 24 hours of heap solution drain down in the event of barren pump failure or power loss. The event pond will collect overflow from the pregnant solution pond and is sized to additionally handle storm water collection from a 100 yr., 24-hr storm event, plus the accumulation from a wet year snowpack over the ultimate pad lined area. Based on preliminary assumptions and data, the process and event ponds are sized at approximately 9,600,000 gallons and 25,500,000 gallons respectively for a total storage capacity of 35,100,000 gallons including free board.
The pond lining system for the pregnant solution pond will consist of two HDPE geomembrane liners separated by an HDPE geonet for leak detection and recovery. The pond lining system for the stormwater event pond will consist of a single HDPE geomembrane liner. Solutions collected in these ponds will be pumped back to the corresponding barren or pregnant solution tanks using submersible pond pumps for distribution either to the recovery plant or to the heap.
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The recovery plant at South Railroad has been designed to recover gold and silver values using an adsorption-desorption-recovery (ADR) process. Pregnant leach solution from the heap leach will be pumped to the carbon in column circuit (CIC) and adsorbed onto activated carbon (adsorption). Two trains of carbon columns are included in the design, primarily to allow the diameter of the columns to be maintained within the transportation shipping envelope. Loaded carbon from the CIC circuit will be desorbed in a high-temperature elution process coupled to an electrowinning circuit (desorption), followed by retorting to remove mercury and smelting of the resulting sludge to produce doré bullion (recovery). Before elution, each batch of carbon will be acid washed to remove any scale and other inorganic contaminants that might inhibit gold adsorption on carbon. All or a portion of the carbon will be thermally reactivated using a rotary kiln.
The ADR plant General Arrangement is presented in Figure 17-2.
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Figure 17-2: ADR Recovery Plant General Arrangement
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Adsorption of gold and silver onto carbon will occur in the carbon adsorption circuit. The adsorption circuit will consist of two trains of five, cascade type open-top up-flow mild-steel CICs each. Each of the carbon columns are nominally 10.5 feet in diameter by 11.8 feet high and are sized to hold 6 tons of activated carbon.
The nominal flow to the adsorption circuit will be 4,500 gpm. Barren solution exiting the last carbon adsorption column in the train will flow through a vibrating screen to separate any floating carbon from the solution, then flow by gravity into the barren tank.
Antiscalant will be added at the pregnant solution tank to prevent scaling of carbon and reduction of the carbon loading capability. Magnetic flowmeters equipped with totalizers will measure solution flow to the adsorption circuit. Pregnant solution will flow by gravity through each set of five columns in series, exiting the lowest column as barren solution. Pregnant and barren solution continuous samplers will be installed at the feed and discharge end of each carbon column train, respectively. Solution samples will be used to measure pregnant and barren solution gold and silver concentrations.
Adsorption of gold and silver from pregnant leach solutions from the heap circuit will be a continuous process. Once the carbon in the lead column achieves the desired precious metal load it will be advanced to the elution (desorption) circuit using screw type or recessed impellor centrifugal pumps. Carbon in the remaining columns will be advanced counter current to the solution flow to the next column in series. New or acid washed/regenerated carbon will be added to the last column in the train.
The stripping of carbon will occur once per day, on average, once sufficient soluble metal is present on the incoming pregnant solution.
Loaded carbon transferred from the CIC circuit will pass through a circular, vibrating screen, which allows for the majority of the elevated pH, cyanide-bearing solution to return to the CIC circuit during carbon transfer. Dewatered carbon reports to the acid wash column. A dilute acid solution will then be prepared in the mix tank, and circulation established between the acid wash vessel and the acid mix tank. Completion of the cycle will be indicated when the pH stabilizes between 1.0 and 2.0 without acid addition for a minimum of thirty minutes of circulation.
The carbon will then be rinsed with raw water followed by rinsing with dilute caustic solution to remove any residual acid. Total time required for acid washing a batch of carbon will be approximately four hours. After acid washing has been completed, a carbon transfer pump will transfer the carbon to the desorption circuit.
A pressure Zadra hot caustic desorption circuit for the stripping of metal values from carbon has been selected for South Railroad, which requires 12 hours or less to complete a cycle. During the elution cycle, gold and silver are continuously extracted by electrowinning from the pregnant eluate concurrently with desorption.
The desorption circuit is sized to strip gold and silver from carbon in 6-ton batches and will be equipped with a strip solution tank, strip solution pump, primary (heat up), secondary (heat recovery), and tertiary (cooling) heat exchangers, hot water heater, elution column, and elution column drain pump. After carbon has been transferred to the elution column, barren strip solution (eluant) containing sodium hydroxide and sodium cyanide will be pumped through the heat recovery and primary heat exchangers and introduced to the elution vessel at a nominal temperature of 300°F and a nominal operating pressure of approximately 100 psig for ten hours.
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Under normal operating conditions, barren eluant solution from the solution storage tank will pass through the heat recovery exchanger to be preheated by hot pregnant eluate leaving the elution column. The barren eluant solution then passes through the primary heat exchanger to raise the temperature up to 300°F using pressurized hot water (~330°F) from the hot water heater system.
The elution column will contain internal stainless-steel inlet screens to hold carbon in the column and to distribute incoming stripping solution evenly in the column. Pregnant eluate leaving the elution column will pass through two external stainless-steel screens before passing through the heat recovery exchanger and the cooling heat exchanger to reduce the temperature to about 175°F (to prevent boiling). The cooled pregnant eluate solution will flow to the electrowinning cell.
After desorption is complete, the stripped carbon will be transferred to the carbon regeneration circuit by a carbon transfer pump.
The electrowinning circuit will be operated in series with the elution circuit. Solution will be pumped continuously from the barren strip solution tank through the elution column, then through the electrowinning cell, and back to the strip solution tank in a continuous closed loop process.
The electrowinning circuit will include one electrowinning cell equipped with a rectifier. Gold and silver will be won from the eluate in the electrowinning cell using stainless steel cathodes using a current density of approximately 4.5 amperes per square foot of anode surface. Caustic soda (sodium hydroxide) in the eluate solution will act as an electrolyte to encourage free flow of electrons and promote the precious metal winning from solution. To keep the electrical resistance of the solution low during desorption and the electrowinning cycle, make-up caustic soda may sometimes be added to the strip solution tank. Barren eluant solution leaving the electrolytic cell will discharge to the barren eluate tank from which it will be pumped back to the strip solution tank for recycle through the elution column.
Periodically, all or part of the barren eluant will be dumped to the barren solution tank. Typically, about one-third of the barren eluant will be discarded after each elution or strip cycle. Sodium hydroxide and sodium cyanide will be added as required from the reagent handling systems to the barren eluant tank during fresh strip solution make-up.
The precious metal-laden cathodes in the electrolytic cells will be removed about once per week and processed to produce the final doré product. Loaded cathodes will be transferred to a cathode wash box where precipitated precious metals will be removed from the cathodes with a pressure washer. The resulting sludge will be pumped to a plate-and-frame filter press to remove water and the filter cake will be loaded into pans for retorting.
| 17.7.5 | Carbon Handling & Thermal Regeneration |
The carbon preparation and storage system will include a 1 ton agitated carbon attrition tank, a 6 ton carbon storage tank, carbon dewatering screen, carbon fines storage tank, carbon fines filter press, and carbon transfer pumps. New and acid washed/regenerated carbon will be stored in the carbon storage tank to be returned to the CIC circuit as makeup carbon. Carbon being transferred to the carbon storage tank will pass to a carbon fines/dewatering screen in order to remove any carbon fines from the system. Carbon fines will be stored in a carbon fines storage tank, which will be periodically pumped through the carbon fines filter press; carbon fines from the filter press will be stored in bulk bags for removal from the system.
Fresh carbon being added to the system will first be attritioned in the carbon attrition tank before being pumped to the carbon dewatering screen to remove carbon fines and is then transferred to the carbon storage tank.
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Thermal regeneration will consist of drying the carbon thoroughly and heating it to approximately 1300ºF for ten minutes in order to maintain carbon activity levels. The carbon regeneration circuit has been designed to regenerate 100% of the carbon.
Carbon from the elution circuit to be thermally reactivated will be dewatered on a vibrating circular screen, transferred to the regeneration kiln feed hopper and fed to the regeneration kiln by a screw feeder. Hot, regenerated carbon leaving the kiln will pass into a water-filled quench tank for cooling before being transferred to the carbon dewatering screen and carbon storage tank.
| 17.7.6 | Refining & Smelting |
Cathode sludge from the electrolytic sludge filter press will be dried and treated in a mercury retort to remove and recover any mercury that may be present. The sludge will be placed into pans and heated in the retort for a minimum of 6 hours at 1,100ºF to volatilize mercury. A vacuum system will remove mercury vapor from the retort and pass the vapor through a series of water-cooled condensers. Condensed mercury will be collected in a trap, and then transferred and stored in flasks. Cooled, mercury-depleted vapor leaving the trap will be passed through a sulfur-impregnated carbon scrubber to remove any residual mercury.
After mercury removal, fluxes will be mixed with the cathode sludge and then fed to an electric induction furnace. The furnace will be heated to approximately 2,200ºF. When the furnace charge is fully molten, it separates into two distinct layers: the slag (on the top) and metal (on the bottom). The slag layer, containing fused fluxes and impurities, will be poured first into conical pots. Once slag has been removed, the melted gold and silver (metal layer) will be poured into cascading molds to form Doré bars.
17.7.6.1 | Mercury Abatement System |
In addition to the mercury retort, the ADR facility will be fitted with an exhaust gas handling system to treat mercury emissions from the various pieces of equipment. The exhaust system will be designed to combine mercury-containing exhaust streams and treat them in two separate sulfur-impregnated carbon beds prior to discharge to the atmosphere.
The first carbon bed will be dedicated to treat fumes from the smelting furnace. The smelting furnace will be fitted with a hood which will collect fumes and direct them to a scrubber, which will remove suspended particles from the gas and cool the gas before passing through the carbon bed. The carbon bed will collect traces of mercury vapor before exhausting the gas to atmosphere.
The second carbon bed will treat the combined exhaust gas streams from the electrowinning cells, eluant solution storage tank, elution vessel, and carbon regeneration kiln. The kiln exhaust gas will be first treated through a wet scrubber to remove particulates and cool the gas, which will then be combined with the remaining exhaust gas streams and pass through the carbon bed.
| 17.8 | ADR REAGENTS AND UTILITIES |
Recovery plant reagents will include cyanide, caustic, nitric acid, antiscalant, activated carbon, and various furnace fluxes. Natural gas will be used to fuel thermal equipment in the plant.
| 17.9 | LABORATORY FACILITIES |
Analytical support, including fire assays and metallurgical testing required to support the project operations, will be conducted on-site using a dedicated laboratory. It is assumed that approximately 100 samples per day will be delivered from the mine for fire assay. A small number of fire assays, solutions, and carbon assays will be required for metallurgical control for processing. A metallurgical lab area is also included for running bottle roll and column tests.
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SECTION 18 TABLE OF CONTENTS
SECTION | | PAGE |
18 | PROJECT INFRASTRUCTURE | | 18-1 |
| 18.1 | ACCESS ROAD | | 18-1 |
| 18.2 | POWER SUPPLY | | 18-1 |
| 18.3 | PROJECT BUILDINGS | | 18-2 |
| | 18.3.1 | Security Building at Access Gate | | 18-4 |
| | 18.3.2 | Administration Building | | 18-4 |
| | 18.3.3 | Truck Shop Building | | 18-4 |
| | 18.3.4 | ADR Plant | | 18-4 |
| | 18.3.5 | Laboratory | | 18-4 |
| 18.4 | SITEWIDE WATER MANAGEMENT STRATEGY | | 18-4 |
| | 18.4.1 | Source of Mine Water | | 18-5 |
| | 18.4.2 | Beneficial Reuse | | 18-11 |
| | 18.4.3 | Water Disposal and Large Storm Events | | 18-12 |
| 18.5 | WATER MANAGEMENT INFRASTRUCTURE | | 18-12 |
| | 18.5.1 | Dark Star Groundwater Dewatering System | | 18-12 |
| | 18.5.2 | Seepage and Stormwater Management System | | 18-14 |
| | 18.5.3 | Beneficial Reuse System | | 18-15 |
| 18.6 | HEAP LEACH PAD FACILITY | | 18-16 |
| 18.7 | HEAP LEACH FACILITY WATER BALANCE ANALYSIS | | 18-17 |
| 18.8 | SEISMIC HAZARD ANALYSIS | | 18-19 |
SECTION 18 LIST OF TABLES
TABLE | | DESCRIPTION | | PAGE |
Table 18-1: Current Modeled Pumping Rates for Dark Star North and Pinion Phase 4/5 Dewatering System | | 18-6 |
Table 18-2: Expected Pumping Rates for Contact Water Ponds | | 18-15 |
Table 18-3: Summary of Phased Liner Deployment | | 18-18 |
Table 18-4: Results Summary from the Simple Deterministic Model – Typical/Average Range Cycle | | 18-19 |
Table 18-5: Mean Deterministic Pseudo-Acceleration Response Spectrum by Seismic Source Zone | | 18-24 |
Table 18-6: 84th Percentile Deterministic Pseudo-Acceleration Response Spectrum by Seismic Source Zone | | 18-24 |
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SECTION 18 LIST OF FIGURES
FIGURE | | DESCRIPTION | | PAGE |
Figure 18-1 Site Plan Drawing | | 18-3 |
Figure 18-2: Water Management Process Flow Diagram | | 18-7 |
Figure 18-3: Pipeline Plan General Arrangement | | 18-8 |
Figure 18-4: Stormwater Controls General Arrangement | | 18-10 |
Figure 18-5: Typical Dewatering Well Construction Details | | 18-13 |
Figure 18-6: Plot of Historic Earthquake Events and Selected Seismic Source Zones within a 500 km Radius | | 18-21 |
Figure 18-7: Plot of PSHA Results and Comparison with DSHA Results | | 18-23 |
Figure 18-8: PSHA Results and Design Response Spectra | | 18-25 |
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The infrastructure for South Railroad has been developed to support mining and heap leaching operations. This includes the access road to the facility, power supply, communication, heap leach pad, process plant and ancillary buildings. Water supply to the site including tanks, pipelines, ponds, and diversions are described in Section 18.5. Haul roads within the mining area as well as the mine waste storage facility are described in Section 16. The infrastructure envisioned is shown in Figure 18-1.
The primary site access for South Railroad will be from Elko, NV using the 41.7-mile route shown in Figure 18-1. This 41.7-mile route begins from its intersection with 12th Street in Elko, NV and continues approximately 5.5 miles along the existing paved State Route (SR) 227 (i.e., Lamoille Highway) to the intersection with SR 228 (i.e., Jiggs Highway). The route continues south along paved SR 228 for another 5.5 miles to the paved Elko County Road 715 (i.e., South Fork Road). The route follows southward along County Road 715 approximately 5.7 miles to the intersection with County Road 715B (i.e., Lucky Nugget Road/Grant Avenue). From this intersection, the route follows County Road 715B approximately 3.1 miles along the west shore of South Fork Reservoir through a semi-rural residential area to the intersection with BLM Road 1119, which continues southwest approximately 6 miles to its intersection with Elko County Road 720 (i.e., Bullion Road). The route follows the Bullion Road southwest approximately 10 miles to the intersection with the un-improved BLM Road 1053, then continues southward following the approximate alignment of BLM Road 1053 along the eastern flank of the Pinion Range approximately 6 miles to the South Railroad Project.
Beginning at BLM Road 1119 and continuing to the site approximately 22 miles, the main access road will be improved to a standard two-way road consisting of a 4-meter wide lane and 2-meter wide shoulder in each direction. The shoulders will provide area for any safety and drainage structures that will be needed along the route.
The last 6 miles to the site will encounter mountainous grades and winding alignment of the existing dirt road (BLM Road 1053). This road will be improved to straighten the alignment, where possible, and reduce grades to a maximum of 8-10 percent to allow for easier access to the site and promote safety. As the access road approaches the site, all traffic will be required to check in at the security office before heading past Administration and to the site facilities located between the Pinion and Dark Star pits. Delivery of all personnel, operating equipment, consumables, and construction equipment will be along this primary access road.
Utility electrical service at the site is not currently available. Power will be supplied by an on-site power generation facility. For the electrical demand of the project, four natural gas generators will be included. Each generator has a capacity of 1970 kW and the design considers operation with three generators. The fourth generator provides (N+1) reliability, which minimizes operating restraints. Natural gas will be delivered to site via truck in the form of liquified natural gas (“LNG”). LNG will be stored in a double-walled tank and vaporized for use in the generators. Synchronizing switchgear is included for load-sharing between operating generators.
An evaluation to arrive at the selected design for the power supply was conducted in January 2020 in a report by M3 titled “South Railroad Mine Project Electric Study”. This study investigated meeting the demand by extending electric utility service to the site, as well as installing and operating on-site generation with either reciprocating engine generators or gas turbine generators. Fuel sources considered for the on-site generation included trucked diesel, a utility natural gas pipeline for gas service, and trucked Liquified Natural Gas (LNG) with on-site vaporizers. Additional factors considered in this evaluation included fuel cost including delivery, system efficiencies, air quality impacts and emissions treatment, maintenance costs, and salvage value. The capital and operating costs for six (6) suitable configurations were compared, establishing rates of return and break-even durations for each configuration pair.
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The study concluded that, when considering all these factors, on-site generation utilizing reciprocating engine generators fueled by LNG delivered to the site provided the greatest value and operational flexibility to the project. This configuration produces lower emissions than diesel options with lower operating costs and lower effective cost per kWh than other on-site options. By installing multiple units operated in parallel, the system can be implementing with a unitized approach controlling initial capital costs - making infrastructure investments only when needed and avoiding the large capital investment of a utility connection. Equipment salvage value can also be realized, a savings not available by selecting a utility approach.
The costs associated with this recommendation have been captured in the Capital and Operating Cost Estimates.
The proposed heap-leach facility will be located just Northeast of the Pinion pit on the west side of the valley. Pregnant Leach Solution (PLS) will flow by gravity to the PLS Pond directly east of the Heap Leach Pad. An event pond will be located adjacent to the PLS Pond to allow for passive overflow if an excessive runoff event occurs. Road access is provided just along the west edge of the heap leach facility which will allow access onto the leach pad for ROM material. An access point is also provided at the base of the pad to allow for haul truck ingress for the initial ore placement on the pad.
A truck shop is planned northwest of the Dark Star waste dump. A fuel island will be constructed just west of the truck shop. Safety and training areas will be provided within the shop building. In addition, Mine Services offices are integral to the truck shop and a laydown yard is proposed directly east of the facility. The Pinion and Dark Star pits are tied to their respective waste dumps and the leach pad by haul roads.
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Figure 18-1 Site Plan Drawing
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| 18.3.1 | Security Building at Access Gate |
The site Security Building is located at the top of a hill for optimal visibility, approximately 4 miles along the main access road from the west property line. The Security Building includes an entry access gate that will control all site ingress egress. From the entry gate a continuous security fence surrounds the active facilities on site.
| 18.3.2 | Administration Building |
The site Administration Building is just past the Security Building also on the main road. The building will be comprised of (12) 12’ x 60’ mobile units that will be assembled into a single unit divided for the variety of use. Ten of these units will be used for the Administration Building, while the remaining two will be used to house the Change House Facilities.
| 18.3.3 | Truck Shop Building |
As the road continues from the Administration Building to the northeast the Truck shop is located just past the Primary Mine Substation and Fueling Station. The Truck shop is a 260’ x 100’ facility that has 6 bays with 2 of them embedded rail to receive tracked vehicles or loaders with tire chains. The Mine Warehouse Facility is included within the footprint of the Truck Shop at the ground floor at the opposite of the bay side. The Mine Services Office and Training Space is designed to be included above the warehouse space.
The ADR Plant is located directly to the north and west of the Truck Shop. PLS from the Heap Leach Pad will be processed in an ADR (adsorption, desorption and recovery) plant where gold and silver will be adsorbed onto activated carbon and recovered by stripping the carbon and eventually recovering the precipitate by electrowinning. The ADR facility includes an open CIC circuit consisting of two carbon column trains operated in parallel as well as 9000 ft2 insulated, engineered steel walled building with an overall height of 45 feet. The building will contain the desorption, acid wash, and carbon handling and regeneration circuits, as well an office, break/lunch room, and men’s and women’s locker/bathroom facilities. The ADR facility also includes an attached refinery building which will be a 5000 ft2 insulated, engineered steel walled building with an overall height of 25 feet and will contain the electrowinning, mercury recovery, and smelting furnace. The ADR building includes two roll-up doors for forklift and maintenance vehicle access as well as man doors around building. The Refinery includes a secure man-door access as well as access for armored trucks via a roll-up door. The facility will include all necessary eyewash/safety shower water and fire protection systems.
The Laboratory building will be comprised of a series of mobile buildings that will be assembled into a single unit to allow for a more conventional layout. The layout will include (6) 12’ x 72’ buildings (60’ x72’ building footprint) and accommodate proper scrubbers, acid containment system, dust collection, and necessary sample processing equipment. Offices, restrooms, and change facilities for the Lab are incorporated into the layout.
| 18.4 | Sitewide Water Management Strategy |
This section presents the overall strategy for managing the water produced from the mine as well as meet the demands of mine processes and supporting facilities. A process flow diagram illustrating how water will be managed at the site is presented in Figure 18-2 and locations of water management infrastructure, excluding stormwater controls, is shown in Figure 18-3. Further details, as well as the supporting studies and model results used to develop the strategy and cost estimate presented herein can be found in the Feasibility Study Mine Water Management Plan South Railroad Project (in progress; Stantec, 2022).
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| 18.4.1 | Source of Mine Water |
| 18.4.1.1 | Groundwater Dewatering System |
The main source of water generated from the mine will be from the groundwater dewatering systems required to support the mining operation of the Dark Star North Pit, followed by groundwater dewatering systems required to support mining at Pinion Phase 4/5. At Dark Star North, this system will consist of nine dewatering wells, each pumping between 100 and 300 gallons per minute (gpm) and will produce a total peak and sustained flow rate of approximately 2,300 gpm. At Pinion Phase 4/5, this system will consist of two dewatering wells, each pumping 225 gpm. Refer to Table 18-1 below for pumping rates by year. Note that the required pumping rate for Years 1 – 3 (2023 – 2026) is determined by the pit dewatering schedule at Dark Star North. Year 3 also includes the use of in-pit sumps removing water to provide the final required drawdown at Dark Star North as some of the pumping wells may reduce in flow toward the end of the dewatering period. Pumping during Years 4 – 8 will be conducted to meet mine processes needs and dewatering at the Pinion Phase 4/5 area. Following Year 8, pumping would continue for several years at an estimated average rate of approximately 310 gpm to support heap leaching operations.
Water generated from the groundwater dewatering system will be beneficially used in operations. Based on the groundwater modeling conducted and water demands that have been identified, the mine should have enough water to meet all water demands throughout the life cycle of the mine.
Pit dewatering wells located around the Dark Star North Pit will be conveyed to a 350,000-gallon Mine Raw Water Tank (Tank 1). Tank 1 will be located adjacent to the Water Treatment Plant (WTP). Water will be pumped from Tank 1 to either the WTP or to another 350,000-gallon Mine Raw Water Tank (Tank 2), which will be used to supply water for consumptive uses. Tank 1 and Tank 2 will also be interconnected to allow transfer between the tanks, which allows additional water to be sent to the WTP as necessary. Water from the Pinion Phase 4/5 dewatering wells will be conveyed directly to Tank 2. Tank 2 will also be connected to Mine Raw Water Tank 3 (Tank 3), which will store and supply fire water. Tank 3 is only connected to Tank 2.
All tanks will be fitted with a level sensor that will control the flow to the tanks.
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Table 18-1: Current Modeled Pumping Rates for Dark Star North and Pinion Phase 4/5 Dewatering System
Well | Pumping Rates (gallons per minute) |
2023 | 2024 | 2025 | 2026 | 2027 | 2028 | 2029 | 2030 | 2031 |
DSPW-1 | 300 | 300 | 300 | 300 | 0 | 0 | 0 | 0 | 0 |
DSPW-2 | 300 | 300 | 300 | 300 | 0 | 0 | 0 | 0 | 0 |
DSPW-3 | 300 | 300 | 300 | 300 | 0 | 0 | 0 | 0 | 0 |
DSPW-4 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 |
DSPW-5.2 | 300 | 300 | 300 | 300 | 0 | 0 | 0 | 0 | 0 |
DSPW-6 | 300 | 300 | 300 | 300 | 0 | 0 | 0 | 0 | 0 |
DSPW-7 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 |
DSPW-8 | 300 | 300 | 300 | 300 | 0 | 0 | 0 | 0 | 0 |
DSPW-9 | 300 | 300 | 300 | 300 | 0 | 0 | 0 | 0 | 0 |
DSE – in-pit sump pumping | 0 | 0 | 0 | 80 – 150 | 0 | 0 | 0 | 0 | 0 |
PPW-1 | 0 | 0 | 0 | 0 | 225 | 225 | 225 | 225 | 225 |
PPW-3 | 0 | 0 | 0 | 0 | 225 | 225 | 225 | 225 | 225 |
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Figure 18-2: Water Management Process Flow Diagram
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Figure 18-3: Pipeline Plan General Arrangement
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| 18.4.1.2 | Stormwater Conveyance Facilities |
Stormwater from the site will be managed as contact and non-contact stormwater. Non-contact stormwater are the flows that do not come in contact with ore or mine processing facilities. Non-contact flows will be collected and conveyed around the site and directly discharged to existing stream channels. Contact stormwater will be routed to the WRDF seepage ponds, the process facility ponds (east of the heap leach pad near the plant), and the ponds located near the material handling of the crusher pad, stacker pads 1 and 2, and the agglomeration pad. These last four ponds are referred to as the beneficiation ponds. Excluding the process facility ponds, contact water will be pumped and blended with other water sources in Tank 2. The operation of the WRDF collection ponds and the beneficiation ponds are discussed in the following section. The HLP operations and process facility ponds are discussed in Section 18.6.
The collection and conveyance of non-contact stormwater runoff will be managed by the construction of stormwater channels, culverts, and energy dissipation structures. Stormwater controls during operations are designed to meet the 100-year, 24-hour storm event, and stormwater controls after closure are designed to meet the 500-year, 24-hour event. The non-contact water stormwater conveyance systems and collection ponds are shown on Figure 18-4. Contact stormwater is primarily controlled through surface grading and use of liners to prevent off-site releases. Graded areas will route water towards collection ponds via overland flow. Contact water will be managed through closed-conduit piping systems to facilitate the transfer of water to downstream uses or towards the WTP.
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Figure 18-4: Stormwater Controls General Arrangement
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| 18.4.1.3 | Seepage and Stormwater Collection Facilities |
During operation, the WRDFs at Pinion and Dark Star will generate a small amount of seepage water from precipitation migrating through the waste rock. Waste rock geochemical modeling indicates that seepage from Pinion will meet Nevada Division of Environmental Protection (NDEP) Profile I water quality standards, and thus will not require seepage containment facilities. The small amount of seepage from the Dark Star WRDFs along with stormwater that falls within the facility footprints will need to be contained and managed with stormwater collection ponds. Based on the water balance modeling conducted to date, average annual seepage/stormwater rates reporting to the Dark Star West and Dark Star East WRDFs ponds are of 79 and 120 gpm respectively. The estimated seepage and stormwater rates are influenced by the timing of the waste rock development and the anticipated concurrent reclamation of the facilities. Due to the space limitations at the site, management of the WRDF seepage/stormwater during operations by simple storage and evaporation alone is not practical. Therefore, the water collected from the ponds during operations will be blended with the groundwater in Tank 1 or Tank 2.
In addition, potential runoff from the HLP as well as the HLP-W1, HLP-W2, HLP-W3, and HLP-W4 areas will also be collected in stormwater ponds as part the zero-discharge operating requirement. The combined 100-year, 24-hour stormwater volume reporting to the four ponds is 8.9 acre-feet with individual pond sizes ranging from 1.4 to 5.1 acre- feet. Stormwater from these four ponds is routed to Tank 2 and recirculated in mine operations. The HLP water handling is discussed separately and is largely confined to the HLP and mineral processing areas in a self-contained system.
Based on feasibility level site-wide water balance modeling, there will be select periods when the combination of dewatering operations and water collected in the stormwater control ponds exceeds the combination of the WTP capacity plus consumptive use demands. These excess water periods of several days would typically occur during spring runoff and when operation water requirements are low. The projected excess water rate is dependent on several conditions during the period of operation including the actual weather conditions at the site, the closure and construction of WRDFs, and the timing of mine water needs at the HLP and other facilities. Excess water would be recirculated in the HLP during these periods with an option to temporarily reduce dewatering rates to offset the higher stormwater contributions.
The main water demands at the site are associated with heap leach make-up water demands and mine facilities such as water for dust suppression, operational drilling water/pad construction, and the truck wash.
Water from Tank 1 will be transferred at a peak rate of 1,800 gpm to Tank 2 to provide enough water for the mine facilities. Water in Tank 2 will either be conveyed to the mine facilities or pumped to Tank 3 for fire water for the ADR. A description of the principal beneficial reuses for the site are presented below.
| 18.4.2.1 | Heap Leach Make-up Demands |
Based on water balance modeling for the HLP as provided by Forte, water demands for the HLP will fluctuate significantly. For average site climate conditions, makeup rates may be on the order of 400 gpm during summer months while it is possible that no makeup water would be required during seasonal spring melt periods. The overall average makeup rate for average climate conditions is expected to be approximately 120 gpm.
The mine facilities non-potable water demands will consist of the following:
| ● | Dust Suppression – 139 gpm in the winter and 222 gpm in the summer with an average of 181 gpm; |
| ● | Drilling and Construction – 57 gpm; and |
| ● | Vehicle Washdown – 10 gpm. |
A series of distribution piping from Tank 2 will supply water to the mine facilities.
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| 18.4.3 | Water Disposal and Large Storm Events |
Excess water generated from the dewatering system will be pumped from Tank 1 and then the WTP.
In the event of significant storm events that exceed the capacity of the WTP, water will be pumped and recirculated in the heap leach facility to attenuate flows to manage peaks. This additional water will be delivered from Tank 2 to the heap leach circuit.
| 18.5 | Water Management Infrastructure |
This section discusses the infrastructure required to manage mine water at the site.
| 18.5.1 | Dark Star Groundwater Dewatering System |
Infrastructure associated with the Dark Star dewatering system is described in the below section.
Groundwater modeling has indicated that nine wells installed to varying depths between 900 ft to 1,100 ft will be required to provide sufficient dewatering capacity. Well locations are shown on Figure 18-3. Typical well construction details are shown on Figure 18-5.
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Figure 18-5: Typical Dewatering Well Construction Details
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18.5.1.2 | Well Pumps and In-Pit Sumps |
A total of nine well pumps will be procured for the project. Based on the maximum flow rate, each well pump will be required to pump at a maximum rate between 100 to 300 gpm and will be installed to depths between 700 and 1,000 ft bgs. Additional in-pit sumps with flow rates of 80 – 150 gpm will be installed at Dark Star North in Year 3.
Each well at Dark Star North will be connected to an HDPE header. The header network will be divided into sections and will connect with a 12- to 18-inch pipeline that will supply water to Tank 1. Water from Tank 1 will be pumped to Tank 2 via a 14-inch pipeline for further use and the remaining water will be pumped to WTP for disposal.
Tank 1 will serve as a buffer tank. Water from Tank 1 will be pumped to Tank 2 for further use at the mine. Tank 1 will be a carbon steel tank having capacity of 350,000 gallons.
18.5.1.5 | Distribution Pump |
There will be one distribution pump installed at Tank 1 that will be used to transfer water to Tank 2. The pump has been sized to provide adequate pumping capacity to meet the expected peak flow rate to Tank 2.
18.5.1.6 | Instrumentation and Controls |
Each well will have a level sensor installed to control the pumps that will operate the pump between high and low level to maintain the groundwater level below the bottom of the pit.
Tank 1 will be installed with a level sensor that will control the flow and operate the pumps. The pumps will maintain designated operating levels in the tank by adjusting the flow rate to the WTP with a variable frequency drive (VFD) motor on the pump. The distribution pump transferring water to the Tank 2 will be turned off at low water level in Tank 1.
Electricity will be supplied by local transformers and consist of power distribution to the pumphouse and pumps.
18.5.2 | Seepage and Stormwater Management System |
Infrastructure associated with the seepage and stormwater management system is described in the below section.
Six ponds will be used to manage contact stormwater and seepage from the two Dark Star WRDFs and the four beneficiation ponds during operations. Pumping systems will be installed in each pond to pump water when the pond levels reach a predetermined level. During operations, the water pumped from the beneficiation ponds will be discharged to the Tank 2. Water captured at the two Dark Star WRDF ponds would be initially sent to Tank 1 and mixed with dewatering water.
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A series of 6-inch HDPE pipelines will be used to transfer water from each of the four beneficiation ponds to Tank 2 or, in the case of the Crusher Area, first to a common 8-inch HDPE pipeline and then to Tank 2. Water collected in the Dark Star East and West WRDFs would be routed via 10-inch and 6-inch HDPE pipelines, respectively.
Each pumping system will include one submersible pumps. The expected nominal and maximum flow rate for each system is shown in Table 18-2. Except for Dark Star East, all other pumping rates will be achieved with VFDs that will control the speeds of the pumps. The pumps were standardized to reduce the number of spares and parts required. The high maximum pumping rate at Dark Star East will require a separate dedicated pump that would only be needed during significant storm events.
Table 18-2: Expected Pumping Rates for Contact Water Ponds
Pond | Nominal (gpm) | Maximum (gpm) |
Dark Star East Pond | 300 | 1700 |
Dark Star West Pond | 300 | 900 |
HLP-W1 Pond | 100 | 400 |
HLP-W2 Pond | 100 | 400 |
HLP-W3 Pond | 100 | 400 |
HLP-W4 Pond | 100 | 400 |
18.5.2.4 | Instrumentation and Controls |
The pond pumping system will be controlled using level sensors that will be used to turn on and off the pumps at preset high and low levels.
Electricity will be supplied by local transformers and consist of power distribution to the pumphouse and pumps.
18.5.3 | Beneficial Reuse System |
Infrastructure associated with the beneficial reuse system is described in the below section.
The following water distribution pipelines will be required to convey water for mining process and facilities:
| ● | A 14-inch pipeline to convey water from Tank 1 to Tank 2; |
| ● | An 8-inch pipeline from Tank 2 to Tank 3; |
| ● | An 8-inch pipeline to convey water from Tank 2 to the mine facilities; and |
| ● | Ancillary smaller diameter distribution pipelines for the various mine facility uses. |
Three tanks makeup the mine water management for non-potable uses. Each tank has a 350,000-gallon capacity and is made of carbon steel tank.
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One pump will be used to pump water from Tank 2 to Tank 3 at a maximum rate of 200 gpm. A second pump will be used to pump water form Tank 2 to the other mine facilities requiring make-up water.
18.5.3.4 | Instrumentation and Controls |
All tanks will include low-level, high-level, and high-high level sensors. These sensors will be used to control pumps and valves downstream of the various tanks feeding each system.
Electricity will be supplied by local transformers and consist of power distribution to the pumphouse and pumps.
18.6 | Heap Leach Pad Facility |
The heap leach facility (HLF) consists of a conventional lined leach pad to support a multi-lift, free-draining heap, event pond, pregnant solution pond, access roads, solution distribution piping (barren solution to the heap) and heap drainage solution collection piping (pregnant solution to the ponds and plant). The HLF will be constructed in four phases, with the process ponds, plant, and access roads constructed as part of the initial phase.
ROM ore will be stacked on the heap with trucks in nominal 30 foot thick lifts. Barren solution containing cyanide will be irrigated onto the ore using drip irrigation. Pregnant solution will be collected at the base of the heap by the leach pad liner and drainage collection system, which will route the pregnant solution to the process plant for gold recovery and reagent reconditioning. Once an area has been leached for the target time or metal recovery, the next lift will be placed on top of the already leached ore and the process repeated. This will be continued until the heap is stacked to the design elevation of 6989 ft above mean sea level (AMSL) for a total capacity of 72 million tons.
The leach pad will consist of a graded area to the west of the ADR process plant and northwest of the Dark Star open pit. The leach pad will be constructed in four phases, with each phase large enough to provide ore leaching capacity for 1 to 2 years. For each phase, topsoil will be removed and stockpiled for use in reclamation.
After removal of topsoil, the site will be graded by cutting and filling to achieve targeted slopes, elevations and grades. The HLF liner system is designed to restrict infiltration of flows through the base of the pad by providing a composite liner system consisting of a low-permeability compacted soil layer overlain with a high-density polyethylene (HDPE) geomembrane layer. A system for monitoring seepage within the HLF in areas of concentrated flow will be constructed beneath the primary liner. This system will be located beneath the solution collection headers and will utilize gravel filled trenches with perforated pipes to capture any leaks through the liner layers.
A network of drainage pipes and drainage gravel will be placed on top of the primary HDPE liner to protect the liner and piping from damage, to limit the maximum hydraulic head over the liner system to an average of 12 inches, and to collect the pregnant solution and direct it to ADR facility for processing.
The process ponds will be located near and adjacent to the ADR process plant. A total of two ponds are planned for the HLF. The pregnant solution pond will be double lined with, from top to bottom, 80-mil HDPE primary geomembrane liner, a geonet leak detection layer, and 80-mil geomembrane secondary liner. A leak detection sump will be installed in the low corner of the pregnant pond. The stormwater event pond will be single lined with the primary liner consisting of 80-mil HDPE geomembrane.
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Operational solution will be routed via tanks located at the process plant. There will be two tanks for pregnant solution, and one for the barren solution. The second pregnant tank is for maintenance which can also be used for maintenance of the barren tank. The solution tank sizes are included in process plant design report. The pregnant pond is designed to have the storage capacity for 24 hours of drain-down from the leach pad in the event of any issues with processing of operational solutions .The event pond will be sized for storage of the runoff from the 100-year, 24-hour storm event as well as the larger of the associated storm surge or the pond inflow from the wettest month timestep as determined from the high level deterministic water balance model for the leach pad (which would include snowmelt runoff). The ponds will have a dedicated generator and pump back system for moving solutions as needed during a “power outage.”
18.7 | Heap Leach Facility Water Balance Analysis |
Heap leaching involves the dissolving of precious metals contained in a low-grade ore using the application and circulation of a weak cyanide solution through the ore. An operational water balance model has been developed for the proposed HLF at the project site. The model provides output to evaluate meteoric (weather) impacts on the facility design and to predict the freshwater demand during operations and subsequent post mining freshwater circulation. The water balance model for a heap leach pad operation is essentially a water budget that tracks all of the water entering and leaving the lined containment system. Sources of water entering the system include pore water delivered with the ore, precipitation falling as rain or snow, and any fresh water (makeup water) added to the system from outside the lined limits of the pad. System losses are a bit more complicated and include three basic categories of loss.
| ● | Losses due to surface tension |
In the case of an operating heap leach pad, the area under active leach is assumed to be continuously wetted by sprinklers or emitters with a limitless supply of water. Therefore, the full potential depth of evapotranspiration is applied to that area. Outside of the area under active leach, the ore surface is assumed to be dry, except for that fraction of the month’s rainfall events that coated the soil particles or infiltrated into the soil and did not run off. This volume of water is assumed to be available during that month for evapotranspiration. Any portion of the infiltrated water volume that is not lost to evapotranspiration during the same month it falls is assumed to be beyond the reach of evapotranspiration in the following month and is routed into the solution collection system along with the other applied solution. Therefore, during months where evaporation/evapotranspiration greatly exceeds rainfall, rain events add nothing to the water volume stored in the system. However, during months where rainfall greatly exceeds evaporation/ evapotranspiration, a significant volume of water may be added to storage.
Environments like the SRR Project site where snowfall is a substantial part of the precipitation regime create a special case. During much of the year, a snowpack will exist on the surface of the HLF which will significantly hinder evaporative loss but create a new opportunity for “sublimation” loss (which is a phase change where water goes directly from the solid phase to the gas phase without passing through a liquid state).
Losses to surface tension involve changes in the water content of the ore during operations. The ore is not delivered to the heap leach pad in a truly dry condition, but rather contains some relatively small amount of moisture in the pore spaces that is held in place by surface tension. This delivered water content is typically less than the “specific retention” of the ore. The specific retention is a threshold moisture content that marks the position on the soil water characteristic curve where the soil begins refusing to release its water to gravity (i.e., below that moisture content it simply will not readily drain). Therefore, for ore to release the applied solution carrying the dissolved precious metals to the solution collection system, it is necessary to raise the moisture content of the soil to a level above the specific retention. The moisture content of the ore must be increased to a level that allows the water to be passed through the ore at the same rate that it is being applied so that the system is in equilibrium or in balance. Once an area is no longer actively being leached (i.e., no new solution is being applied), then the ore would drain back down to its specific retention moisture content and release the difference back into the solution collection system. The water balance model tracks these changes in moisture content in the ore and accounts for the addition and subtraction of water volume in the system.
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Once all additions and losses to the volume of water stored in the system have been estimated and accounted for at the end of the month, the model evaluates whether or not there is sufficient water available in storage to maintain the solution application rate for the next month. Heap leach pads are designed as fully lined containment systems that release nothing back into the environment. Solutions that are not stored within the ore itself are routed through the system and stored in the process ponds. However, should extreme events exceed the storage capacity of the system, then the excess must be extracted from the system.
Precipitation was studied by Stantec and utilized multiple regional sources of data including the site-specific Dark Star climate station. The site-specific data has a record length of only about two (2) years. Available regional meteoric records included data sets as long as 130 years. Details on the development of a representative meteoric record for the project site can be found in a report from Stantec dated April 19, 2019.
Given the location of the site in mountainous terrain at elevations well above 6000 ft AMSL and the existence of sub- freezing temperatures from late October through April each year, a significant percentage of the precipitation at site occurs as snow. The accumulation of water as the snow water equivalent (SWE) in a growing snowpack over the winter months has an impact on the hydrology of the site by storing water from November through March or early April, then rapidly releasing that stored water over the months of April and May. The water balance model controls the accumulation of SWE in the snowpack as a function of precipitation and temperature using a monthly series of snowpack factors. The monthly snowpack factors were selected to mimic as closely as possible the behavior observed at Snotel sites in the region (the snowpack growing rapidly from November through February, leveling out from March through early April, and declining rapidly from April through May. The snowpack algorithms affect the routing and the timing of the winter precipitation and spring melt, but they have no impact on the net water balance.
Results of the deterministic modeling are as follows. In general, outside makeup water is required from startup through the end of the facility life which is anticipated to be on the order of 9 years of mining and ore stacking, followed by an additional 2 years of leaching with no new ore added to the heap. Modeling disclosed no significant trend toward accumulation of water in the system over time during normal operations.
Upon completion of active leaching operations, solution management will be required until such time as the closure cover is established and clean runoff is diverted off the facility. Once the solution draindown rate falls to a level that can be safely and passively contained in the post-closure Event Pond, active solution management can cease (i.e., no pumping). The current water balance model does not address these post-closure conditions (which will need to be addressed in a separate draindown model at some later time).
Detailed phasing and scheduling of the liner deployment is shown in Table 18-3.
Table 18-3: Summary of Phased Liner Deployment
Phase | Lined Surface Area (ft2) |
1 | 3,556,782 |
2 | 3,182,446 |
3 | 2,128,147 |
4 | 1,114,481 |
Table 18-4 summarizes results from the deterministic modeling using the typical/average range cycle of the meteoric record. The maximum, average, and minimum values reported in Table 18-4 represent the range of daily values represented over the life of each respective phase.
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Table 18-4: Results Summary from the Simple Deterministic Model – Typical/Average Range Cycle
Parameter | Phase | Max | Average | Min |
Water Stored in Process Ponds (gallons) | 1 | 1,303,445 | 399,815 | 0 |
2 | 5,092,061 | 473,598 | 0 |
3 | 26,807,682 | 3,419,074 | 0 |
4 | 14,776,718 | 2,633,475 | 0 |
|
Outside Makeup Water (gallons/min) | 1 | 785 | 76 | 0 |
2 | 947 | 127 | 0 |
3 | 1,043 | 123 | 0 |
4 | 912 | 157 | 0 |
|
Percent of Time Makeup Water Demand is Zero | 1 | --- | 8.9% | --- |
2 | --- | 0% | --- |
3 | --- | 0.8% | --- |
4 | --- | 30.5% | --- |
Pond sizing is based on a hydrologic analysis and the results of the simple deterministic water balance mode. The combined capacity of the pregnant solution pond and the stormwater event pond are designed to contain the total of the solution volumes resulting from the following design criteria:
| ● | The average of the maximum pond volumes for each phase established from the water balance model, |
| ● | The immediate runoff from the 100-year 24-hour storm event over the area of the full HLF and any additional exposed liner over the full lined footprint of the HLF, |
| ● | 24 hours. of draindown at the full barren solution pumping rate, and |
| ● | 2 feet of pond freeboard for each pond. |
18.8 | Seismic hazard analysis |
The site resides in the Basin and Range physiographic province which consists of a region of crustal extension (spreading) that began approximately 17 million years ago during the Miocene Epoch. The province extends from southern Oregon and Idaho southeastward penetrating well into Mexico. Its westernmost extent is the range front fault(s) of the eastern Sierra Nevada Range and its easternmost extent the range front fault(s) of the Wasatch Range. The southern projection of the province is bounded on the west by the gulf of California and the Baja Peninsula and on the east by the Laramide aged thrust front of the Sierra Madre Occidental Range. The spreading and thinning of the crust in the Nevada portion of the province is dominated by listric normal faulting that bounds the mountain ranges and flattens out with depth, even joining opposing faults at times. This pattern has resulted in what is described as “horst and graben topography” where the horsts are the uplifted areas (mountain ranges) and the grabens are the down- dropped blocks (alluvial valley floors) between ranges.
The identification of representative seismic source zones for a project of this type requires a review of the patterns revealed in a plot of the mapped earthquake epicenter locations classed by magnitude, and a review of the patterns revealed in a plot of the mapped young, potentially active fault locations. We have identified eight (8) seismic source zones which (proceeding from southwest to northeast) are as follows:
| 1. | Sierra Range-front Zone |
| 3. | Shoshone Mountains Zone |
| 5. | Nevada Great Basin Zone |
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| 8. | Wasatch Front – Hurricane Fault Zone |
The purpose of identifying discrete seismic source zones is to characterize and quantify the nature of the largest earthquake that is likely to occur within the zone. This information can be utilized in either a deterministic seismic hazard analysis (DSHA) or a probabilistic seismic hazard analysis (PSHA). Although different in approach, they probably have more in common than they have differences. Of interest is the largest earthquake that could reasonably be expected to occur within the zone, the mean rate of occurrence or recurrence interval, and the location of the earthquake. Seismic source zones come in two (2) varieties:
| 1. | An Aerial Seismic Source where earthquakes are uniformly distributed throughout the area and assumed to be equally likely to occur anywhere within the area. |
| 2. | A Linear Seismic Source where earthquakes occur along a narrow linear band (fault) but are again assumed to be equally likely to occur anywhere along the fault line. |
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Figure 18-6: Plot of Historic Earthquake Events and Selected Seismic Source Zones within a 500 km Radius
Ground motion response to earthquakes depends not just on the character of the earthquake, but also the character of the subsurface conditions at the site. Of concern is the nature of the soil/rock in the upper 30 m of soil/rock profile. Test pits and drilling at the site indicate that the soil cover is of moderate thickness (typically 6 m to 14 m thick) and the underlying rock moderately to highly weathered. Therefore, for the purpose of this investigation, the site was assigned to Site Class D (stiff soil) with an assumed representative shear velocity (Vs30) of 365 m/s (1200 ft/s) consistent with the recommendations in the ASCE 7-16 design standard.
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The steps involved in a DSHA analysis are as follows:
| 1. | Using information derived from geologic maps, fault maps, and plots of historic earthquake events, identify discrete seismic source zone polygons. |
| 2. | Extract “clipped” data sets lying within each seismic source zone that represent the nature of the seismicity within the zone. |
| 3. | Estimate the Maximum Considered Earthquake (“MCE”) associated with each seismic source. |
| 4. | Estimate the closest point of approach to the site of interest for the selected MCE in each seismic source zone. |
| 5. | Estimate site specific ground motions by attenuating motions over the distance between the earthquake epicenter and the site. |
A review of the mapped USGS faults revealed a maximum surface rupture length within the Nevada Great Basin Zone on the order of 29 km at a location approximately 42.5 km south of the site. Using the criteria of Wells and Coppersmith (1994), and assuming the maximum surface fault rupture for a single event to be half of the mapped length, the maximum expected event magnitude would be 6.4. The closest location of a mapped active fault is 5.3 km from the site and the fault has a total surface rupture length of 5.55 km. Conservatively assuming this fault rupture to represent a single event, the 5.55 km length corresponds an event magnitude of 5.9. Therefore, for the Nevada Great Basin Zone containing the site, three (3) ground motion attenuation profiles were developed; one for the MCE of magnitude 6.4 at a distance of 42.5 km, one for a magnitude 5.9 event at a distance of 5.3 km, and a magnitude 4.5 event at a distance of 1 km.
Results of analyses for all seismic source zones are summarized in Table 18-6 and Table 18-7. Most building codes (including ASCE 7-16 and IBC 2018) allow for either a site-specific deterministic design approach or a probabilistic approach. For the site specific DSHA procedure the estimated spectral acceleration values at the various natural periods are used to develop a mean spectral acceleration response spectrum and an 84th percentile response spectrum. These accelerations are then used to develop design response spectra for estimating seismic loads used for structural design (which will also vary as a function of occupancy and use) and for geotechnical analysis.
The PSHA analysis can be performed using the same seismic source zones and by replacing the maximum credible earthquake with the probability distribution of earthquake events, the site distance with the probability distribution of site distances and adding a random component to the attenuated spectral acceleration values, then using a Monte Carlo type sampling model to compile a new distribution of spectral accelerations associated with an exceedance probability. However, some developed countries, including the U.S. and Canada, have their own web-based PSHA programs that use regionally based maps of seismic source zones (similar, but not the same as those used in our DSHA analysis), and compute site distances by asking you to enter a specific geographic site location using latitude and longitude.
A deterministic approach to seismic hazard analysis or DSHA and a probabilistic approach or PSHA have produced similar design pseudo-acceleration response spectra with the DSHA results being the larger of the two (see Figure 18-9). Per ASCE 7-16 guidelines, the lesser of the two or the PSHA results for a maximum considered earthquake having a 2% probability of exceedance in 50 yrs. was selected as the Site-Specific Design Response Spectra (see Figure 18-10).
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Figure 18-7: Plot of PSHA Results and Comparison with DSHA Results
Geotechnical design procedures often involve estimates of the Peak Ground Acceleration (“PGAm”) or a reduced/scaled version of the ground acceleration referred to as the pseudostatic acceleration coefficient. The design PGAm value for the site is 0.294 g.
For seismic slope stability analyses in soil and rock, a hierarchy of analysis methods should be implemented with progression to the next method in the hierarchy required only in the event of failure to satisfy the requirements of the previous method. Recommended methods in the order of their application are as follows:
| ● | Pseudostatic stability analysis using a pseudostatic acceleration coefficient of 0.06 g (to be used only at sites with no liquefaction potential). |
| ● | Seismic displacement analysis using the procedures of Newmark, 1965, Makdisi and Seed, 1978, or Bray and Travasarou, 2007 showing acceptably small displacements. |
| ● | Full dynamic analysis of soil-structure interaction coupled with continuum modeling showing acceptably small displacements. |
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Table 18-5: Mean Deterministic Pseudo-Acceleration Response Spectrum by Seismic Source Zone
Table 18-6: 84th Percentile Deterministic Pseudo-Acceleration Response Spectrum by Seismic Source Zone
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Figure 18-8: PSHA Results and Design Response Spectra
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SECTION 19 TABLE OF CONTENTS
SECTION | | PAGE |
19 | MARKET STUDIES AND CONTRACTS | 19-1 |
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19 | Market Studies and Contracts |
No market studies were completed and no contracts are in place in support of this Technical Report. Gold and silver production can generally be sold to any of a number of financial institutions or refining houses and therefore no market studies are required.
It is assumed that the doré produced at the South Railroad Project will be of a specification comparable with other Nevada gold and silver producers and as such, acceptable to all refineries.
Gold and silver produced by the South Railroad Project would be sold to refineries or other financial institutions and the settlement price would be based on the then-current spot price for gold and silver on public markets. There would be no direct marketing of the metal. The base case financial model for the South Railroad Project utilizes a gold price of $1,650/oz and a silver price of $21.50/oz.
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SECTION 20 TABLE OF CONTENTS
SECTION | | PAGE |
20 | ENVIRONMENTAL STUDIES, PERMITTING, AND SOCIAL OR COMMUNITY IMPACT | 20-1 |
| 20.1 | INTRODUCTION | 20-1 |
| 20.2 | ENVIRONMENTAL BASELINE STUDIES | 20-2 |
| 20.3 | BUREAU OF LAND MANAGEMENT PLAN OF OPERATIONS / NEVADA BUREAU OF MINING REGULATION AND RECLAMATION, NEVADA RECLAMATION Permit | 20-2 |
| | 20.3.1 | Bureau of Land Management Pre-Application Planning | 20-2 |
| | 20.3.2 | Plan of Operations Processing | 20-3 |
| 20.4 | BUREAU OF LAND MANAGEMENT RIGHT OF WAY | 20-3 |
| 20.5 | UNITED STATES ARMY CORPS OF ENGINEERS SECTION 404 PERMIT | 20-3 |
| 20.6 | NATIONAL ENVIRONMENTAL POLICY ACT | 20-4 |
| 20.7 | STATE OF NEVADA PERMITS | 20-4 |
| | 20.7.1 | Water Pollution Control Permit | 20-4 |
| | 20.7.2 | National Pollution Discharge Eliminate System Permit | 20-5 |
| | 20.7.3 | Air Quality Operating Permit | 20-5 |
| | 20.7.4 | Water Rights | 20-5 |
| 20.8 | ELKO COUNTY SPECIAL USE PERMIT | 20-5 |
| 20.9 | OTHER MINOR OR MINISTERIAL PERMITS | 20-5 |
| 20.10 | ENVIRONMENTAL STUDY RESULTS AND KNOWN ISSUES | 20-7 |
| 20.11 | WASTE DISPOSAL AND MONITORING | 20-7 |
| 20.12 | SOCIAL AND COMMUNITY ISSUES | 20-7 |
| 20.13 | MINE CLOSURE | 20-7 |
SECTION 20 LIST OF TABLES
TABLE | DESCRIPTION | PAGE |
Table 20-1: | Ministerial Permits, Plans, and Notifications | 20-6 |
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20 | Environmental studies, permitting, and social or community impact |
EM Strategies, a WestLand Resources Inc. Company (“EMS”), a permit acquisition strategy and government relations consulting firm, provided the following information on environmental considerations, permitting, and social and community impacts.
As environmental consultants to Gold Standard, and at the request of Gold Standard, EMS has completed the following assessment of environmental studies, permitting, and social or community impacts for the proposed Gold Standard’s South Railroad Mine Project (“SRMP”), which is located within South Railroad portion of the Railroad-Pinion property. The SRMP has been defined for permitting purposes and is currently approximately 10,479 acres in size. The SRMP is a hard rock precious-metal development project. Gold Standard submitted a Plan of Operations (under 43 Code of Federal Regulations [CFR] 3809) and a Nevada Reclamation Permit (NRP) Application (under Nevada Administrative Code [NAC] 519A) (Plan Application) to the BLM Tuscarora Field Office and the NDEP’s Bureau of Mining Regulation and Reclamation (“BMRR”) on November 6, 2020.
The SRMP is located on public lands administered by the BLM and private lands controlled by Gold Standard in Sections 1,2,11 through 16, and 20 through 29, Township 30 North, Range 53 East (T30N, R53E), and Sections 35, T31N, R53E, Mount Diablo Base and Meridian. The access to the SRMP is via the South Fork Route, which is from State Route (SR) 228 on County Road (CR) 715 and 715B to BLM Route 1119, and on the CR 720 to the SRMP area. In general, the proposed mine operations will consist of two open pit mines and waste rock storage areas, and the processing of the ore will use a heap leaching method. Gold Standard plans the construction, operation, reclamation, and closing of this mining operation. Major components include:
| ● | Two areas of open pits (Pinion and Dark Star deposits); |
| ● | Three waste rock storage areas; |
| ● | One heap leach processing facility; |
| ● | A water delivery and distribution system; |
| ● | A power delivery and distribution system; |
| ● | Excess water management system; including a surface discharge to Dixie Creek; |
| ● | Storm water diversion ditches and storm water sediment basins; |
| ● | Upgrade of the existing access road to the SRMP. |
Gold Standard proposes to mine approximately 71.9 million tons of heap-leach ore and 294.5 million tons of waste rock (total of 366.4 million tons). The strip ratio is 4.10 tons of waste for every one ton of ore over the eight year life of the mine. The ore and waste would be extracted from the open pits using conventional surface mining methods of drilling, blasting, loading, and hauling. Gold Standard would use hydraulic shovels or front-end loaders to load the blasted mineralized material and waste into the haul trucks. The haul trucks would transport the waste rock to the rock disposal area near the open pit and transport the mineralized material directly to the heap leach pad as ROM ore. The heap leach would use a dilute NaCN solution to liberate the precious metals. A carbon absorption desorption process would be used to precipitate the precious metals. The precipitate would then be refined in a furnace to produce doré bars for shipment off site. The project facilities would disturb approximately 1,775 acres. There is an existing exploration Plan of Operations that covers the planned mining and processing facilities and authorizes up to 65.8 acres of exploration surface disturbance within the SRMP and outside of the planned mine facility footprints. Exploration activities, estimated to disturb up to 150 additional acres, would also occur within the SRMP and incorporate the existing exploration Plan level disturbance. The current exploration Plan would continue to be used for exploration outside of the Plan Application boundary. The exploration activities would be based on work plans submitted to the BLM for review and concurrence that the activities are consistent with the Plan.
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The review and approval process for the Plan Application by the BLM constitutes a federal action under the NEPA and BLM regulations. Thus, for the BLM to process the Plan Application the BLM is required to comply with the NEPA and prepare either an EA, or an EIS. The BLM has determined that an EIS, will be required to comply with NEPA.
Prior to initiating the NEPA document (EIS), the NEPA contractor (SWCA) will prepare Resource Reports for each environmental resource, which will evaluate the potential effect of the project on each environmental resource. Each Resource Report is then reviewed and approved by the BLM. The NEPA contractor then uses the Resource Reports to complete the NEPA document.
The following sections provide additional detailed information on the principal permits necessary to develop each phase of the project and the NEPA process, as well as the status relative to each permit process.
20.2 | Environmental Baseline Studies |
Gold Standard has been conducting environmental baseline studies over the past several years as part of their ongoing permitting efforts prior to and subsequent to the submittal of the Plan Application. The main portion for the Project Area has been surveyed for surface water resources, including WOTUS, biological resources, and cultural resources. The SRMP access road remain to be surveyed for cultural resources. In 2018, Gold Standard commenced material characterization testing of the mineralized material and waste rock to determine the metal leaching and acid generation potential. In addition, an evaluation of the groundwater resources was commenced to determine groundwater supply potential, as well as the potential impacts from groundwater pumping and pit lake development. Between January 2019 and December 2021 Gold Standard has had numerous meetings with the BLM and the EIS Contractor to determine what additional baseline data collection is needed for the permitting process and NEPA. In the spring of 2022, Gold Standard will be collecting additional baseline environmental data including, biology and cultural resources all the South Fork Access Road and hydrology and mussel data from Dixie Creek.
Within and adjacent to the Project Area there are Greater Sage Grouse and Golden Eagles. These species will have an effect on how the SRMP is permitted and what mitigation in required or proposed.
20.3 | Bureau of Land Management Plan of Operations / Nevada Bureau of Mining Regulation and Reclamation, Nevada Reclamation Permit |
The BLM and the BMRR have implemented a process for the Plan Application that commences prior to the submittal and continues through the review and approval process for the Plan Application. Gold Standard submitted a Plan Application for the project in November 2020 and BLM approval of this Plan Application occurred in December of 2020. A NEPA contractor (SWCA) was selected in August 2021 and initiated work in September 2021.
20.3.1 | Bureau of Land Management Pre-Application Planning |
As part of the pre-Plan Application planning process with the BLM, initial meetings were held between the proponent and the BLM to discuss the anticipated scope of the mining operation and review the likely environmental resource baseline data needs required for the processing of the Plan Application by the BLM.
The process for collecting baseline data generally includes the development of baseline data collection work plans, which are submitted to the BLM for review and approval prior to initiating the baseline data collection. Following approval, field surveys are carried out to collect relevant baseline data. Depending on the environmental resource to be evaluated, desktop studies may be utilized in lieu of field surveys. Findings of the field surveys are then summarized in a report that documents the data collected. This Technical Report is then submitted to the BLM for review and approval. In some cases, the baseline data collection process will also involve the State of Nevada, depending on the resource being assessed, particularly for geochemical and hydrological surveys. Baseline data for the project is being collected and several of the reports have been reviewed by the BLM. The required environmental baseline data include the following: mineralized material and waste rock geochemical characterization; hydrogeological characterization; a pit lake evaluation; an assessment of ecological risk; air quality modeling; and cultural and biological resources.
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Cultural resource and biology surveys have been completed over the SRMP. Supplemental work to assess conditions in Dixie Creek and along the South Fork access route will be completed during the first half of 2022. Sample collection for the characterization of the mineralized material and waste has been completed and analysis of those samples is underway. The material characterization report was completed in the first half of 2020. The hydrogeologic evaluation commenced in the third quarter of 2018 and the report was completed in the second quarter of 2020. Revisions to the report to incorporate 2021 field data were drafted in Q4 2021 and are being finalized in Q1 2022.
20.3.2 | Plan of Operations Processing |
A Plan Application is required to be submitted to the BLM and the BMRR for any surface disturbance in excess of five acres. The single application utilizes the format of the Plan Application document accepted by the BLM and the BMRR. The Plan Application describes the operational procedures for the construction, operation, and closure of the project. As required by the BLM and BMRR, the Plan Application includes a waste rock management plan, quality assurance plan, a storm water plan, a spill prevention plan, reclamation plan, a monitoring plan, and an interim management plan. In addition, a reclamation report with a Reclamation Cost Estimate (“RCE”) for the closure of the project is required. The content of the Plan Application is based on the mine plan design and the data gathered as part of the environmental baseline studies. The Plan Application includes all mine and processing design information and mining methods. The BLM determines the completeness of the Plan Application and, when the completeness letter is submitted to the proponent, the NEPA process begins. The RCE is reviewed by both agencies and the bond is determined prior to the BLM issuing a decision record on the Plan Application and BMRR issuing the RP.
The Plan Application was submitted in November 2020 after the project operational information was completed and essentially all the baseline surveys were completed. Key baseline reports for the project have been included in the Plan Application submittal to the BLM and NDEP/BMRR. Subsequent to the Plan Application submittal, Gold Standard identified a revised Project access route to the north that connects with State Route 228, south of Spring Creek in Elko County. A revision to the Plan Application will be submitted to the BLM/and NDEP/BMRR in the first half of 2022. As of the date of this report the Plan Application is being revised to reflect to Project access from the north and an increase in the overall size of the Project area.
The BLM will need to complete their review of the baseline reports in the Plan Application and approve the final version of the reports prior to moving through the NEPA process.
20.4 | Bureau of Land Management Right of Way |
A portion of the access route to the Project includes BLM Route 1119. This portion of the access road will require a BLM right-of-way (ROW) issued to either Gold Standard or Elko County. A ROW application and a Plan of Development will need to be submitted to the BLM in the first half of 2022. To process this ROW application the BLM will need to have completed a NEPA analysis. It is reasonable to assume that the BLM will use the same NEPA evaluation that is being completed for the Plan Application.
20.5 | United States Army Corps of Engineers Section 404 Permit |
Gold Standard has delineated and the United States Army Corps of Engineers (“USACE”) has determined that there are WOTUS, including wetlands, within the Project Area. Based on the current design of the SRMP, the SRMP will likely have impacts to WOTUS, which will require an individual permit under Section 404 of the Clean Water Act. As part of their Section 404 permit application review process, the USACE looks at an avoid, minimize, mitigate process as part of their assessment. GSV is unable to avoid all the WOTUS in the SRMP design; however, Gold Standard has designed the SRMP to avoid as much of the WOTUS as is reasonably possible. Gold Standard will need to then mitigate for the WOTUS that is affected by the SRMP design.
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20.6 | National Environmental Policy Act |
The NEPA process is triggered by a federal action. In this case, the issuance of a completeness letter for the Plan Application and the submittal of the Section 404 permit application triggers the federal action. The NEPA review process is completed with either an EA or an EIS. The BLM has determined that an EIS is required for this project. In addition, the BLM will be the lead federal agency for the completion of the NEPA process and the USACE will be a cooperating agency under NEPA.
The EIS process is conducted in accordance with NEPA regulations (40 CFR 1500 et. seq.), BLM, as lead federal agency, guidelines for implementing the NEPA in BLM Handbook H-1790-1 (updated January 2008), and BLM Washington Office Bulletin 94-310. The intent of the EIS is to assess the direct, indirect, residual, and cumulative effects of the project and to determine the significance of those effects. Scoping is conducted by the BLM and includes a determination of the environmental resources to be analyzed in the EIS, as well as the degree of analysis for each environmental resource. The scope of the cumulative analysis is also addressed during the scoping process. Following scoping and baseline information collection, the Draft EIS is prepared for the BLM by a third-party contractor. When the BLM determines the Draft EIS is complete, it would be submitted to the public for review. Comments received from the public would be incorporated into a Final EIS, which would in turn be reviewed by the BLM and the public prior to a record of decision (“ROD”). Under an EIS there can be significant impacts. The preparation of an EIS is a lengthier and more expensive process than an EA. The project proponent pays for the third-party contractor to prepare the EIS, and also pays recovery costs to the BLM for any work on the project by BLM specialists. As of the date of this report an EIS contractor has been selected and has commenced work of the review of existing data and assessing its completeness for the NEPA analysis.
20.7 | State of Nevada permits |
There are a number of environmental permits issued by the NDEP that are necessary to develop the SRMP and which Gold Standard needs to permit the SRMP etc. The NDEP issues permits that address water and air pollution, as well as land reclamation. The Nevada Division of Water Resources (“NDWR”) issues water rights for the use and management of water.
20.7.1 | Water Pollution Control Permit |
A WPCP from the BMRR is needed to construct, operate, and close a mining facility in the State of Nevada. The contents of the application are prescribed in the NAC Section 445A.394 through 445A.399. A WPCP application for the project will be prepared and will be based on the following:
| ● | Open pit mining, with an anticipated post-mining pit lake formation; |
| ● | Storage of non-acid and acid generating waste rock; |
| ● | Dewatering and water management; |
| ● | Heap leach and process plant management; and |
| ● | Ancillary facilities that include storm water diversions, and sediment control basin. |
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WPCP applications will include an engineering design for waste rock storage areas and mill/tailings facilities, waste rock characterization reports, hydrogeological summary reports, engineering design for process components including methods for the control of storm water runoff, and containment reports detailing specifications for containment of process fluids. Applications will also contain the appropriate WPCP plans, including a process fluid management plan, a monitoring plan, an emergency response plan, a temporary closure plan, and a tentative plan for permanent closure of the mine.
20.7.2 | National Pollution Discharge Eliminate System Permit |
A National Pollution Discharge Eliminate System (NPDES) Permit from the NDEP, Bureau of Water Pollution Control (BWPC) is needed to construct and operate the excess water discharge to the tributary of Dixie Creek. Under NRS 445A.450, the NDEP is authorized to implement the Federal NPDES program, and the contents of the application are prescribed in the 40 CFR 122.21. A NPDES permit application for the project will be prepared and will be based on the following:
| ● | Description of operations; |
| ● | Effluent characteristics; |
| ● | Description of the treatment system. |
20.7.3 | Air Quality Operating Permit |
Gold Standard will need an air quality operating permit from the Nevada Bureau of Air Pollution Control (“BAPC”). The permit will likely be a Class II permit, where the emissions of each criteria pollutant would be less than 100 tons per year. The application would include specifics on each process component that could emit air pollutants and a detailed emissions inventory, as well as air quality modeling. The application preparation and processing time frame would be approximately three months.
Gold Standard will need to obtain water rights from the NDWR. Water and water rights will have to come from either Pine Valley or the Dixie Creek - Ten Mile Creek designated hydrologic basins. These basins are currently over appropriated relative to the Nevada State Engineer’s perennial yield for each basin. As a result, obtaining new water rights for mining-related consumptive uses is possible; however, multiple protests from existing water right holders should be expected. Obtaining non-consumptive water rights for de-watering activities that return the water to the basin will be more obtainable than consumptive water rights in the basin. Gold Standard anticipates the need to purchase or lease existing rights to meet their water demands for the project.
20.8 | Elko County Special Use Permit |
Gold Standard will need a Special Use Permit issued by Elko County. This permit will need to include a road maintenance agreement for any county road to be used to access the project.
20.9 | Other Minor or Ministerial Permits |
In addition to the principal environmental permits outlined above, Table 20-1 lists other notifications or ministerial permits that may likely be necessary to operate the project.
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Table 20-1: Ministerial Permits, Plans, and Notifications
Notification/Permit | Agency | Timeframes |
Above Ground Storage Tank Permit | Nevada Bureau of Corrective Actions | Up to six months to get registered; however, this is not required. The cost is $100 per tank per year and a requirement to perform monthly visual inspections |
Agreement for Road Maintenance | Elko County | Up to six months to negotiate the agreement with the county roads department and the county commission. |
Explosives Permit | Bureau of Alcohol, Tobacco, Firearms, and Explosives | N/A |
Explosives User's License (User's Clearance) | Bureau of Alcohol, Tobacco, Firearms, and Explosives | N/A |
Fire and Life Safety | Nevada State Fire Marshall | One week once the outlined materials are completed by WKM. Submit prior to construction and operation. |
Hazardous Materials Permit | Nevada State Fire Marshall | One week once materials list is completed by WKM. Submit 30 days from the start of operations and annually thereafter by March 1st. |
Hwy 278 Turn out Permit | NDOT (Right of way division) | TBD |
Industrial Artificial Pond Permit | Nevada Department of Wildlife | Four weeks |
Leach Pad Commencement | Nevada Bureau of Mining Regulation and Reclamation | One week |
Leach Pad As-Built Report | Nevada Bureau of Mining Regulation and Reclamation | Four weeks |
Process Plant As-Built Report | Nevada Bureau of Mining Regulation and Reclamation | Four weeks |
MSHA Mine ID Number | MSHA | One week. |
Mine Opening Notification | Nevada division of Minerals | One week. |
Mine Registry | Nevada Division of Minerals | One week. |
Notification of Commencement of Operations | Mine Safety & Health Administration | One week |
Production/Dewatering Wells - Proof of Completion | Nevada Division of Water Resources | One week |
Radio License | FCC | One week |
RCRA Waste Mgt. ID - Mine | Nevada Bureau of Sustainable Materials Management/U.S. Environmental Protection Agency | Two weeks |
Well Drilling Permit (Notice of Intent to Drill) | Nevada Division of Water Resources | One week |
Potable Water System | Nevada Bureau of Safe Drinking Water | Eight months |
Septic System | Nevada Bureau of Water Pollution Control | Six months to prepare the application (including the mercury control system) and process to obtain the permit. |
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| 20.10 | ENVIRONMENTAL STUDY RESULTS AND KNOWN ISSUES |
As previously outlined, the SRMP is a previously explored minerals property with exploration related disturbance. However, there have been very long periods of non-operation. There are no known ongoing environmental issues with any of the regulatory agencies. Gold Standard has been conducting baseline data collection for a couple of years for environmental studies required to support the Plan Application and permitting process. The waste and mineralized material characterization and the hydrogeologic evaluation are currently in their latter stages of development. Material characterization indicates the need to manage a significant portion of the waste rock as potentially acid generating in engineered facilities. Additional results to date indicate limited cultural issues, air quality impacts appear to be within State of Nevada standards, traffic and noise issues are present but at low levels, and socioeconomic impacts are positive. There are golden eagle and Greater sage-grouse in the SRMP and the vicinity, which will need to be addressed in the permitting of the project. Gold Standard is working with the BLM on the management of these species.
| 20.11 | WASTE DISPOSAL AND MONITORING |
Waste rock characterization has been conducted and the results indicate that a portion of the waste rock and mineralized material are likely to be reactive, acid generating, and would leach metals. As a result, a detailed waste rock management plan and waste rock management strategy is being developed.
| 20.12 | SOCIAL AND COMMUNITY ISSUES |
Social and community impacts have been and are being considered and evaluated for the Plan Amendment and Plan Application performed for the project in accordance with the NEPA and other federal laws. Potentially affected Native American tribes, tribal organizations, and/or individuals are consulted during the preparation of all plan amendments to advise on the proposed projects that may have an effect on cultural sites, resources, and traditional activities.
Potential community impacts to existing population and demographics, income, employment, economy, public finance, housing, community facilities, and community services are evaluated for potential impacts as part of the NEPA process. There are no known social or community issues that would have a material impact on the project’s ability to extract mineral resources. Identified socioeconomic issues (employment, payroll, services and supply purchases, and state and local tax payments) are anticipated to be positive.
A Tentative Plan for Permanent Closure (“TPPC”) for the project would be submitted to the BMRR with the WPCP application. In the TPPC, the proposed heap leach closure approach would consist of fluid management through evaporation, covering the heap leach growth media, and then revegetating. Any residual heap leach drainage will be managed with evaporation cells.
The current bond for the SRMP is approximately $1,448,735 to reclaim the exploration related disturbance.
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SECTION 21 TABLE OF CONTENTS
SECTION | PAGE |
| |
21 | CAPITAL AND OPERATING COSTS | 21-1 |
| | |
| 21.1 | MINING CAPITAL | 21-2 |
| | | |
| | 21.1.1 | Primary Equipment | 21-2 |
| | 21.1.2 | Support Equipment | 21-3 |
| | 21.1.3 | Blasting Equipment | 21-3 |
| | 21.1.4 | Mine Maintenance Capital | 21-3 |
| | 21.1.5 | Other Capital | 21-3 |
| | 21.1.6 | Mine Pre-Production | 21-4 |
| | 21.1.7 | Mine Equipment Salvage | 21-4 |
| | | | |
| 21.2 | PROCESS CAPITAL | 21-4 |
| | | |
| | 21.2.1 | Process Capital Cost Summary | 21-4 |
| | 21.2.2 | Freight | 21-6 |
| | 21.2.3 | Construction Support | 21-6 |
| | 21.2.4 | EPCM | 21-6 |
| | 21.2.5 | Vendor Support | 21-6 |
| | 21.2.6 | Spare Parts | 21-6 |
| | 21.2.7 | Generator Lease | 21-6 |
| | | | |
| 21.3 | OWNER’S COSTS | 21-6 |
| | | |
| 21.4 | MINE OPERATING COST | 21-7 |
| | | |
| | 21.4.1 | Mine General Services | 21-7 |
| | 21.4.2 | Mine Maintenance | 21-8 |
| | 21.4.3 | Drilling | 21-9 |
| | 21.4.4 | Blasting | 21-10 |
| | 21.4.5 | Loading | 21-11 |
| | 21.4.6 | Hauling | 21-12 |
| | 21.4.7 | Mine Support | 21-13 |
| | 21.4.8 | Leasing and Rental Costs | 21-13 |
| | | | |
| 21.5 | PROCESS OPERATING COST SUMMARY | 21-15 |
| | | |
| | 21.5.1 | Personnel and Staffing | 21-17 |
| | 21.5.2 | Power | 21-17 |
| | 21.5.3 | Consumable Items | 21-17 |
| | 21.5.4 | Maintenance | 21-18 |
| | 21.5.5 | Supplies and Services | 21-18 |
| | 21.5.6 | Process Operating Cost Exclusions | 21-18 |
| | 21.5.7 | Generator Lease Costs | 21-18 |
| | | | |
| 21.6 | G&A COSTS | 21-19 |
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SECTION 21 LIST OF TABLES
TABLE | DESCRIPTION | PAGE |
Table 21-1: Capital Cost Summary | 21-1 |
Table 21-2: Operating Cost Summary | 21-2 |
Table 21-3: Mining Capital Cost by Year | 21-2 |
Table 21-4: Salvage Value Estimate | 21-4 |
Table 21-5: Initial Capital Process Plant Cost Summary | 21-5 |
Table 21-6: Yearly Mine Operating Cost Estimate | 21-7 |
Table 21-7: Mine General Services Costs | 21-8 |
Table 21-8: Yearly Mine Maintenance Costs | 21-9 |
Table 21-9: Yearly Drilling Costs | 21-10 |
Table 21-10: Yearly Blasting Costs | 21-11 |
Table 21-11: Yearly Loading Costs | 21-12 |
Table 21-12: Yearly Haulage Costs | 21-13 |
Table 21-13: Yearly Mine Support Costs | 21-13 |
Table 21-14: Lease and Rental Operating Costs | 21-15 |
Table 21-15: LOM Operating Costs by Process Type, US$/ton ore | 21-15 |
Table 21-16: Life of Mine Average Process Operating Cost by Year | 21-16 |
Table 21-17: Power Requirements Summary | 21-17 |
Table 21-18: Process Consumables Average Annual Consumptions | 21-18 |
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| 21 | CAPITAL AND OPERATING COSTS |
Capital and operating costs were estimated for the feasibility study by RESPEC (mine development) and M3 (process plant, site development, power generation, and ancillaries), Stantec (site-wide water management systems), NewFields (heap leach and waste rock disposal facilities) and Linkan Engineering (water treatment plant and potable water systems). Table 21-1 shows the estimated capital costs for the project. This includes $190.2 million in Year -1 and $186.7 million for sustaining capital. Total capital costs are estimated at $376.9 million.
Table 21-1: Capital Cost Summary
Category | Units | Initial | Sustaining | Total |
Site General (Earthworks) | K | USD | $ | 5,566 | | - | $ | 5,566 |
Site Water Management (Stantec) | K | USD | $ | 15,367 | $ | 17,065 | $ | 32,431 |
Heap Leach Facility (NewFields) | K | USD | $ | 16,217 | $ | 22,144 | $ | 38,361 |
Waste Rock Disposal Facilities (NewFields) | K | USD | $ | 3,999 | $ | 7,756 | $ | 11,755 |
Process Plant (ADR, Refinery, Reagents) | K | USD | $ | 24,141 | | - | $ | 24,141 |
Water Systems (Process Plant) | K | USD | $ | 2,309 | | - | $ | 2,309 |
Water Treatment Plant & Potable (Linkan) | K | USD | $ | 4,065 | $ | 4,139 | $ | 8,204 |
Power Generation & Distribution | K | USD | $ | 18,367 | | - | $ | 18,367 |
ADR Bldg. & Ancil. (Warehouse, Maint, Admin, Fuel) | K | USD | $ | 15,080 | | - | $ | 15,080 |
Sub-Total Direct Cost (Process Plant & Support) | K | USD | $ | 105,111 | $ | 51,104 | $ | 156,215 |
Freight (Process Plant) | K | USD | $ | 3,220 | | - | $ | 3,220 |
Construction Support (inc. Mobilization) | K | USD | $ | 4,333 | | - | $ | 4,333 |
Engineering, Procurement, & Const. Mgmt. | K | USD | $ | 10,965 | | - | $ | 10,965 |
Vendor Support | K | USD | $ | 701 | | - | $ | 701 |
Spare Parts (Capital, Commissioning) | K | USD | $ | 1,542 | | - | $ | 1,542 |
Generator Lease Capital Deferral | K | USD | ($6,940) | $ | 7,416 | $ | 476 |
Indirect Costs (Support Facilities Scope) | K | USD | $ | 11,988 | $ | 14,088 | $ | 26,076 |
Contingency (Process Plant) | K | USD | $ | 12,386 | | - | $ | 12,386 |
Contingency (Support Facilities Scope) | K | USD | $ | 6,184 | $ | 11,443 | $ | 17,627 |
Owner's Cost | K | USD | $ | 1,157 | | - | $ | 1,157 |
Taxes (County) (Process Plant) | K | USD | $ | 2,968 | | - | $ | 2,968 |
Sub-Total Indirect Cost (Process Plant & Support)) | K | USD | $ | 48,504 | $ | 32,948 | $ | 81,452 |
Mine Capital Equipment | K | USD | $ | 13,733 | $ | 102,624 | $ | 116,358 |
Preproduction Costs | K | USD | $ | 22,640 | | - | $ | 22,640 |
Contingency (Mine Capital Equipment) | K | USD | $ | 210 | | - | $ | 210 |
Sub-Total Mine Capital | K | USD | $ | 36,583 | $ | 102,624 | $ | 139,207 |
TOTAL CAPITAL COST | K | USD | $ | 190,197 | $ | 186,676 | $ | 376,873 |
Table 21-2 shows the estimated operating costs for the LOM project. Operating costs were estimated at $807 million for the LOM. This is $11.23 per ton processed or $783 per ounce of gold produced.
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
Table 21-2: Operating Cost Summary
| Production Cost |
Category | K USD | $ / ton | $ / Au oz | $ / Au oz* |
Mining Costs | $ | 615,504 | $ | 8.58 | $ | 598.18 | | - |
Process Plant | $ | 147,424 | $ | 2.05 | $ | 143.04 | | - |
G&A | $ | 37,750 | $ | 0.53 | $ | 36.63 | | - |
Refining | $ | 5,153 | $ | 0.07 | $ | 5.00 | | - |
TOTAL OPERATING COST | $ | 544,573 | $ | 11.23 | $ | 782.85 | $ | 780.84 |
* Including Silver Credit as a Reduction to Total Operating
Mining capital estimates for this feasibility study assume owner operations of mining equipment and were based on the equipment and facilities required to achieve the production schedule shown in Table 16-4. Capital costs were estimated based on vendor quotations, estimation guides, and benchmarks of recent costs for similar projects. Mining capital includes assumptions for leased-to-own equipment along with equipment purchases. These include terms of 0% down and 5.55% annual effective interest rates for haul trucks and 20% down and 4.75% annual effective interest rates on remaining principal for other equipment based on vendor inputs. The down payments and principal portions of quarterly payments have been applied to capital while quarterly interest payments are applied to operating costs.
Leased-to-own equipment includes production drills, large loaders, hydraulic shovels, haul trucks, dozers, graders, water trucks, lube and fuel trucks, mechanics trucks, and tire trucks. In addition, pioneering drills are assumed to be rented. This is further discussed in the mine operating costs section (Section 21.3).
The mining capital estimate is summarized by year in Table 21-3. Note that numbers within the tables in this section are rounded which may lead to minor summation differences.
Table 21-3: Mining Capital Cost by Year
Total Mining Capital | Units | Yr -1 | Yr 1 | Yr 2 | Yr 3 | Yr 4 | Yr 5 | Yr 6 | Yr 7 | Yr 8 | Total |
Primary Equipment | KUSD | $ | 4,724 | $ | 6,276 | $ | 12,062 | $ | 11,831 | $ | 12,464 | $ | 12,634 | $ | 10,176 | $ | 8,965 | $ | 5,588 | $ | 84,719 |
Support Equipment | KUSD | $ | 6,477 | $ | 3,081 | $ | 4,488 | $ | 4,000 | $ | 4,193 | $ | 3,449 | $ | 708 | $ | 182 | $ | - | $ | 26,579 |
Blasting Equipment | KUSD | $ | 129 | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | 129 |
Mine Maintenance Equipment | KUSD | $ | 358 | $ | 223 | $ | 234 | $ | 245 | $ | 257 | $ | 201 | $ | - | $ | - | $ | - | $ | 1,517 |
Other Mine Capital | KUSD | $ | 2,046 | $ | 1,124 | $ | 14 | $ | 230 | $ | - | $ | - | $ | - | $ | - | $ | - | $ | 3,414 |
Mine Preproduction | KUSD | $ | 22,640 | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | 22,640 |
Mining Equipment Salvage | KUSD | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | (12,410) | $ | (12,410) |
Total Mine Capital | KUSD | $ | 36,373 | $ | 10,703 | $ | 16,798 | $ | 16,306 | $ | 16,914 | $ | 16,284 | $ | 10,884 | $ | 9,147 | $ | (6,822) | $ | 126,587 |
Primary equipment purchases refer to the purchase of drills, loading equipment, and haul trucks. The total LOM primary equipment cost estimate is $84.7 million which includes:
| ● | $8.6 million for production drills; |
| | |
| ● | $6.6 million for a large loader; |
| | |
| ● | $13.4 million for hydraulic shovels; and |
| | |
| ● | $56.1 million for 200-ton capacity haul trucks. |
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Support equipment includes the equipment required to support the primary mining equipment. This includes dozers to manage dumping locations and cleanup of benches for drilling and loading equipment. This also includes road maintenance equipment such as water trucks and graders. The total estimated capital for support equipment is $26.6 million and includes:
| ● | $11.0 million for dozers, and a rubber tire dozer (“RTD”); |
| ● | $2.8 million for motor graders; |
| ● | $4.1 million for water trucks; |
| ● | $6.0 million for truck and lowboy; |
| ● | $1.1 million for 6 yd excavator; |
| ● | $87,000 for in-pit pumps to control runoff water; |
| ● | $1.3 million for a 132-ton capacity crane (to be shared between mining and process); and |
| ● | $135,000 for a flatbed truck used for moving maintenance items within the mine. |
Blasting equipment includes a skid loader to be used for stemming holes. The cost estimate for the skid loader is $129,000. All other equipment is expected to be supplied by the blasting contractor.
| 21.1.4 | Mine Maintenance Capital |
Mine maintenance capital includes one large lubrication truck at $1,017,000, two mechanic’s trucks totaling $321,000, and a tire truck at $178,000.
Other capital includes an assortment of equipment and facilities totaling $3.4 million. This includes:
| ● | $100,000 for light plants; |
| ● | $87,000 for ANFO storage bins; |
| ● | $12,000 for powder magazines to store boosters; |
| ● | $8,000 for a cap magazine; |
| ● | $75,000 for explosives storage site prep; |
| ● | $67,000 for mobile radios in equipment and assorted handheld radios; |
| ● | $750,000 for general shop equipment including hoists and other tooling; |
| ● | $105,000 for engineering computers, plotters, and other office equipment; |
| ● | $400,000 for geotechnical equipment; |
| ● | $20,000 for dust suppression storage bladders; |
| ● | $150,000 for surveying equipment and GPS base stations; |
| ��� | $225,000 in access roads to each deposit and site preparation; |
| ● | $150,000 for ambulance and firefighting equipment; and |
| ● | $1.27 million for critical spares. |
Note that the access roads to each deposit and site preparations are estimated for each deposit with $150,000 applied to the development of Dark Star and $75,000 applied for the preparation of Pinion. These amounts do not include the costs for the main access road.
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| 21.1.6 | Mine Pre-Production |
Mine pre-production is considered as the cost of all mining prior to the start of gold production from the ROM leach pad. For the feasibility study, this will be a 6-month period from the start of mining operations. The total mining costs during pre-production are estimated at $22.6 million.
| 21.1.7 | Mine Equipment Salvage |
Mine equipment salvage has been estimated and applied at the end of the equipment useful life. The estimate assumes that the equipment value would depreciate immediately by 10% once placed into service. An assumed life-of-equipment hours were also assumed based on experience in operations. The life of equipment was compared to the equipment hours used by fleet or unit and the percent remaining was calculated. The percent remaining was then multiplied by the value of the equipment after the initial depreciation. Where the percent of remaining life was less than zero, no salvage was considered.
Table 21-4 shows the value estimate used for salvage. All dollar figures on this table are in $1,000. The last column in Table 21-4 shows the year when the salvage is applied. Total salvage value credited at the end of the mine life is $12.4 million.
Table 21-4: Salvage Value Estimate
| Initial | After Initial | | Capex | Year for |
Primary Equipment | Units | Hrs Used | Life Hrs | % Remain | Cost | Depreciation | Depreciation | Salvage | Consumed | Salvage |
Production Drill #1 | 1 | 42,468 | 40,000 | -6% | $ | 2,003 | $ | 200 | $ | 1,803 | $ | - | $ | 2,003 | 6 |
Production Drill #2 | 1 | 45,446 | 40,000 | -14% | $ | 2,003 | $ | 200 | $ | 1,803 | $ | - | $ | 2,003 | 7 |
Production Drill #3 | 1 | 45,503 | 40,000 | -14% | $ | 2,003 | $ | 200 | $ | 1,803 | $ | - | $ | 2,003 | 7 |
Production Drill #4 | 1 | 39,834 | 40,000 | 0% | $ | 2,003 | $ | 200 | $ | 1,803 | $ | 7 | $ | 1,996 | 7 |
30 cu yd Hyd. Shovel #1 | 1 | 60,327 | 50,000 | -21% | $ | 6,265 | $ | 627 | $ | 5,639 | $ | - | $ | 6,265 | 7 |
30 cu yd Hyd. Shovel #2 | 1 | 46,298 | 50,000 | 7% | $ | 6,265 | $ | 627 | $ | 5,639 | $ | 418 | $ | 5,847 | 7 |
25 cu yd Loader | 1 | 42,732 | 30,000 | -42% | $ | 6,168 | $ | 617 | $ | 5,551 | $ | - | $ | 6,168 | 7 |
Haul Truck Fleet #1 | 3 | 58,587 | 60,000 | 2% | $ | 18,795 | $ | 1,880 | $ | 16,916 | $ | 398 | $ | 18,397 | 7 |
Haul Truck Fleet #2 | 2 | 57,796 | 60,000 | 4% | $ | 12,530 | $ | 1,253 | $ | 11,277 | $ | 414 | $ | 12,116 | 7 |
Haul Truck Fleet #3 | 3 | 54,423 | 60,000 | 9% | $ | 18,795 | $ | 1,880 | $ | 16,916 | $ | 1,572 | $ | 17,223 | 7 |
Haul Truck Fleet #4 | 3 | 50,225 | 60,000 | 16% | $ | 18,795 | $ | 1,880 | $ | 16,916 | $ | 2,756 | $ | 16,039 | 7 |
Haul Truck Fleet #5 | 2 | 49,340 | 60,000 | 18% | $ | 12,530 | $ | 1,253 | $ | 11,277 | $ | 2,003 | $ | 10,527 | 7 |
Water Truck - 20,000 Gallon #1 | 1 | 40,732 | 50,000 | 19% | 1,937 | $ | 194 | $ | 1,743 | $ | 323 | $ | 1,614 | 7 |
Water Truck - 20,000 Gallon #2 | 1 | 40,732 | 50,000 | 19% | 1,937 | $ | 194 | $ | 1,743 | $ | 323 | $ | 1,614 | 7 |
600 HP Dozer #1 | 2 | 43,659 | 40,000 | -9% | 3,812 | $ | 381 | $ | 3,431 | $ | - | $ | 3,812 | 7 |
600 HP Dozer #2 | 2 | 38,336 | 40,000 | 4% | 3,812 | $ | 381 | $ | 3,431 | $ | 143 | $ | 3,669 | 7 |
900 HP RTD | 1 | 53,264 | 30,000 | -78% | 2,618 | $ | 262 | $ | 2,356 | $ | - | $ | 2,618 | 7 |
Truck and Lowboy | 1 | 9,400 | 30,000 | 69% | 5,661 | $ | 566 | $ | 5,095 | $ | 3,499 | $ | 2,163 | 7 |
6 cu yd backhoe | 1 | 15,666 | 40,000 | 61% | 1,011 | $ | 101 | $ | 910 | $ | 554 | $ | 457 | 7 |
18' Motor Grader #1 | 1 | 46,998 | 40,000 | -17% | 1,296 | $ | 130 | $ | 1,167 | $ | - | $ | 1,296 | 7 |
18' Motor Grader #2 | 1 | 46,998 | 40,000 | -17% | 1,296 | $ | 130 | $ | 1,167 | $ | - | $ | 1,296 | 7 |
| 21.2.1 | Process Capital Cost Summary |
The process plant costs are comprised of costs for the process facilities, as well as costs for site-wide water management systems, heap leach pad and ponds construction, waste rock storage facilities, infrastructure development, power generation and distribution, and ancillaries. The direct costs are developed from labor, materials, plant equipment, sub-contracts, and construction equipment. Indirect costs are applied to the direct costs to account for items such as: freight, construction support; engineering, procurement, and construction management (EPCM); vendor support during specialty construction and commissioning; spare parts; contingency; owner’s costs; and taxes. Together, the direct and indirect costs form the capital costs.
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The direct process plant cost for this FS has multiple contributors. Stantec developed the direct costs for the site-wide water management systems. NewFields developed the costs for the heap leach facility and the waste rock storage facilities. M3 developed the costs for site layout, the process plant, power generation and distribution and several ancillaries. The process plant includes the adsorption, desorption and recovery plant, as well as the refinery and reagents. The ancillaries include components such as laboratory, warehouse and maintenance, including the truck shop, administration building, and the fuel station.
Indirect costs were then calculated following industry accepted methodologies, including application of contingency based on the completed level of design on a scope or individual work type basis. The agglomerate contingency for the process plant is estimated at 14.8% of total contracted cost. Total contracted costs include all process plant direct costs, plus construction support costs, EPCM costs, vendor support costs, and spare parts costs. First fills were calculated by M3. Owner’s Costs were defined by GSV. Elko County Sales taxes are included at 7.10% of plant equipment and material costs.
Process plant capital costs were independently developed, and all capital cost estimates are based on the purchase of new equipment.
The total evaluated project cost is projected to be in the accuracy range of +/-15%.
Table 21-5: Initial Capital Process Plant Cost Summary
Category (all costs are in USD 1,000) | Labor | Plant Equip. | Material | Sub Contract | Const. Equip. | Total |
Site General (Earthworks) | 2,804 | - | 850 | 395 | 1,516 | 5,566 |
Site Water Management (Stantec) | - | - | - | 15,367 | - | 15,367 |
Heap Leach Facility (NewFields) | - | - | - | 16,217 | - | 16,217 |
Waste Rock Disposal Facilities (NewFields) | - | - | - | 3,999 | - | 3,999 |
Process Plant (ADR, Refinery, Reagents) | 7,087 | 10,876 | 4,740 | 365 | 1,074 | 24,141 |
Water Systems (Process Plant) | 1,129 | - | 834 | 53 | 293 | 2,309 |
Water Treatment Plant & Potable (Linkan) | - | - | - | 4,065 | - | 4,065 |
Power Generation & Distribution | 2,358 | 14,425 | 1,100 | 285 | 199 | 18,367 |
ADR Bldg. & Ancillaries | 4,386 | 2,739 | 4,685 | 2,566 | 703 | 15,080 |
Sub-Total Direct Cost (Process Plant) | 17,764 | 28,040 | 12,209 | 43,313 | 3,786 | 105,111 |
Freight (Process Plant) | | | | | | 3,220 |
Construction Support (inc. Mobilization) | | | | | | 4,333 |
Engineering, Procurement, & Const. Mgmt. | | | | | | 10,965 |
Vendor Support | | | | | | 701 |
Spare Parts (Capital, Commissioning) | | | | | | 1,542 |
Generator Lease Capital Deferral | | | | | | (6,940) |
Indirect Costs (Support Facilities Scope) | | | | | | 11,988 |
Contingency (Process Plant) | | | | | | 12,386 |
Contingency (Support Facilities Scope) | | | | | | $6,184 |
Owner's Cost | | | | | | $1,157 |
Taxes (County) (Process Plant) | | | | | | $2,968 |
Sub-Total Indirect Cost (Process Plant) | | | | | | 48,504 |
TOTAL CAPITAL COST (Process Plant) | | | | | | 153,615 |
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Estimates for equipment and material freight costs are based on bulk freight loads and have been estimated at 8% of the equipment cost.
| 21.2.3 | Construction Support |
Mobilization is included as an indirect cost at 4% of total direct field costs for process plant direct costs.
Temporary construction facilities are included at 0.5% of total direct field cost (TDFC). Temporary construction power is included at 0.1% of TDFC.
Engineering is included at 6.5% of total constructed cost (TCC) for the process plant scope. Project management and administration is included at 0.75% of TCC. Project services are included at 1.0% of TCC. Project controls are included at 0.75% of TCC. Construction Management is included at 6.0% of TCC.
An EPCM Fee is included at 1.5% of total direct field cost.
EPCM construction trailers are included at 0.25% of total direct field cost.
Vendor supervision of specialty construction is included at 1.5% of plant equipment supply costs. Vendor pre- commissioning is included at 0.5% of plant equipment supply costs. Vendor commissioning is included at 0.5% of plant equipment supply costs.
Capital spare parts are included at 5.0% of plant equipment supply costs. Commissioning spare parts are included at 0.5% of plant equipment supply costs. Two-year operating spare parts are excluded.
Four LNG generators are envisioned for the project. Financing of the generators are under the assumption of leased- to-own equipment. These include terms of 20% down and 6.0% annual effective interest rates for the four LNG power generators. The down payments and principal portions of quarterly payments have been applied to capital while quarterly interest payments are applied to operating costs.
Owner’s costs were developed by GSV. The Owner’s Costs include items such as salaries and wages for the project personnel, housing, and accommodations for owner’s team during project development, transportation for owner’s team during project development, owner’s team vehicles, office services, and travel during project development. There is also an allowance for external services, such as geotechnical investigation and permit support.
For the project, the Owner’s Costs have been reduced by $5.45 million. The reduction is based on GSV planning to spend this amount funded by current (Q1-2022) capital within GSV. As such, these costs represent a sunk cost for project purposes.
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Mine operating costs were estimated using first principals. This was done using estimated hourly costs of equipment and personnel against the anticipated hours of work for each. The equipment hourly costs were estimated for fuel, oil and lubrication, tires, under-carriage, repair and maintenance costs, and special wear items.
The largest consumable miner operating costs are tires, fuel, and explosives. Tire costs vary by equipment and assumed hours per tire. Fuel costs were assumed to be $2.50 per gallon. ANFO and emulsion blend is assumed to be $578 per ton which includes transportation costs.
Personnel costs include supervision, operating labor, and maintenance labor. The mine operating costs are summarized by year in Table 21-6. The LOM operating costs, before capitalization of pre-production costs, are $639.1 million and average $1.74 per ton. After capitalization of pre-stripping, the LOM mine operating cost is estimated to be $616.5 million or $1.68 per ton mined. Note that numbers within the tables in this section are rounded which may lead to minor summation differences.
Table 21-6: Yearly Mine Operating Cost Estimate
Mine Op Cost Summary | Units | Yr -1 | Yr 1 | Yr 2 | Yr 3 | Yr 4 | Yr 5 | Yr 6 | Yr 7 | Yr 8 | Total |
Mine General Service | K USD | $ | 888 | $ | 1,427 | $ | 1,426 | $ | 1,426 | $ | 1,426 | $ | 1,427 | $ | 1,426 | $ | 1,426 | $ | 951 | $ | 11,824 |
Mine Maintenance | K USD | $ | 2,107 | $ | 4,210 | $ | 4,206 | $ | 4,206 | $ | 4,206 | $ | 4,210 | $ | 4,206 | $ | 4,206 | $ | 2,803 | $ | 34,360 |
Engineering | K USD | $ | 557 | $ | 1,032 | $ | 1,032 | $ | 1,032 | $ | 1,032 | $ | 1,032 | $ | 1,032 | $ | 1,032 | $ | 688 | $ | 8,468 |
Geology | K USD | $ | 424 | $ | 756 | $ | 756 | $ | 756 | $ | 756 | $ | 756 | $ | 756 | $ | 756 | $ | 504 | $ | 6,218 |
Drilling | K USD | $ | 2,654 | $ | 7,007 | $ | 10,068 | $ | 11,176 | $ | 11,624 | $ | 11,112 | $ | 11,047 | $ | 9,592 | $ | 3,349 | $ | 77,629 |
Blasting | K USD | $ | 3,263 | $ | 8,130 | $ | 11,206 | $ | 12,636 | $ | 13,099 | $ | 12,616 | $ | 12,380 | $ | 10,790 | $ | 4,222 | $ | 88,342 |
Loading | K USD | $ | 2,898 | $ | 7,522 | $ | 11,530 | $ | 12,359 | $ | 12,517 | $ | 12,179 | $ | 12,205 | $ | 11,278 | $ | 3,593 | $ | 86,082 |
Hauling | K USD | $ | 4,339 | $ | 16,300 | $ | 29,679 | $ | 30,222 | $ | 29,989 | $ | 29,802 | $ | 29,547 | $ | 29,410 | $ | 13,206 | $ | 212,493 |
Mine Support | K USD | $ | 4,841 | $ | 9,655 | $ | 12,363 | $ | 12,364 | $ | 12,366 | $ | 12,383 | $ | 12,365 | $ | 12,361 | $ | 6,652 | $ | 95,348 |
Total Mining Cost | K USD | $ | 21,972 | $ | 56,038 | $ | 82,266 | $ | 86,177 | $ | 87,016 | $ | 85,514 | $ | 84,963 | $ | 80,852 | $ | 35,967 | $ | 620,765 |
Leased Equipment Interest | K USD | $ | 498 | $ | 2,915 | $ | 3,981 | $ | 3,621 | $ | 2,783 | $ | 1,900 | $ | 1,182 | $ | 605 | $ | 183 | $ | 17,668 |
Rental Equipment Charges | K USD | $ | 170 | $ | 139 | $ | 139 | $ | 93 | $ | - | $ | 170 | $ | - | $ | - | $ | - | $ | 711 |
Total Additional Operating Costs | K USD | $ | 668 | $ | 3,055 | $ | 4,120 | $ | 3,713 | $ | 2,783 | $ | 2,070 | $ | 1,182 | $ | 605 | $ | 183 | $ | 18,378 |
Net Total Mining Cost | K USD | $ | 22,640 | $ | 59,092 | $ | 86,386 | $ | 89,891 | $ | 89,798 | $ | 87,585 | $ | 86,145 | $ | 81,457 | $ | 36,150 | $ | 639,144 |
Prestrip Mining Capital | K USD | $ | 22,640 | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | 22,640 |
Net Mine Operating Cost | K USD | $ | - | $ | 59,092 | $ | 86,386 | $ | 89,891 | $ | 89,798 | $ | 87,585 | $ | 86,145 | $ | 81,457 | $ | 36,150 | $ | 616,504 |
Cost per Tozn
Mine General Service | $/ton | $ | 0.07 | $ | 0.05 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.07 | $ | 0.03 |
Mine Maintenance | $/ton | $ | 0.17 | $ | 0.13 | $ | 0.09 | $ | 0.08 | $ | 0.07 | $ | 0.08 | $ | 0.08 | $ | 0.09 | $ | 0.20 | $ | 0.09 |
Engineering | $/ton | $ | 0.05 | $ | 0.03 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.05 | $ | 0.02 |
Geology | $/ton | $ | 0.03 | $ | 0.02 | $ | 0.02 | $ | 0.01 | $ | 0.01 | $ | 0.01 | $ | 0.01 | $ | 0.02 | $ | 0.04 | $ | 0.02 |
Drilling | $/ton | $ | 0.22 | $ | 0.22 | $ | 0.21 | $ | 0.21 | $ | 0.21 | $ | 0.21 | $ | 0.21 | $ | 0.21 | $ | 0.23 | $ | 0.21 |
Blasting | $/ton | $ | 0.27 | $ | 0.26 | $ | 0.24 | $ | 0.24 | $ | 0.23 | $ | 0.24 | $ | 0.23 | $ | 0.24 | $ | 0.30 | $ | 0.24 |
Loading | $/ton | $ | 0.24 | $ | 0.24 | $ | 0.24 | $ | 0.23 | $ | 0.22 | $ | 0.23 | $ | 0.23 | $ | 0.25 | $ | 0.25 | $ | 0.23 |
Hauling | $/ton | $ | 0.35 | $ | 0.52 | $ | 0.63 | $ | 0.57 | $ | 0.53 | $ | 0.56 | $ | 0.56 | $ | 0.64 | $ | 0.92 | $ | 0.58 |
Mine Support | $/ton | $ | 0.39 | $ | 0.31 | $ | 0.26 | $ | 0.23 | $ | 0.22 | $ | 0.23 | $ | 0.23 | $ | 0.27 | $ | 0.47 | $ | 0.26 |
Total Mining Cost | $/ton | $ | 1.79 | $ | 1.78 | $ | 1.74 | $ | 1.61 | $ | 1.55 | $ | 1.62 | $ | 1.61 | $ | 1.77 | $ | 2.52 | $ | 1.69 |
Leased Equipment Interest | $/ton | $ | 0.04 | $ | 0.09 | $ | 0.08 | $ | 0.07 | $ | 0.05 | $ | 0.04 | $ | 0.02 | $ | 0.01 | $ | 0.01 | $ | 0.05 |
Rental Equipment Charges | $/ton | $ | 0.01 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | - | $ | 0.00 | $ | - | $ | - | $ | - | $ | 0.00 |
Total Additional Operating Costs | $/ton | $ | 0.05 | $ | 0.10 | $ | 0.09 | $ | 0.07 | $ | 0.05 | $ | 0.04 | $ | 0.02 | $ | 0.01 | $ | 0.01 | $ | 0.05 |
Net Total Mining Cost | $/ton | $ | 1.84 | $ | 1.87 | $ | 1.83 | $ | 1.68 | $ | 1.60 | $ | 1.66 | $ | 1.63 | $ | 1.79 | $ | 2.53 | $ | 1.74 |
Prestrip Mining Capital | $/ton | $ | 1.84 | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | 0.06 |
Net Mine Operating Cost | $/ton | $ | - | $ | 1.87 | $ | 1.83 | $ | 1.68 | $ | 1.60 | $ | 1.66 | $ | 1.63 | $ | 1.79 | $ | 2.53 | $ | 1.68 |
| M3-PN185074 14 March 2022 Revision 1 | 21-7 |
South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
| 21.4.1 | Mine General Services |
Mine general services costs include mining supervision along with engineering and geology services. Supervision allows for a mine superintendent, mine general foreman and mine shift foremen. Engineering personnel include a chief engineer along with engineers and surveying crew to support mine planning and operations. Geology is intended to support ore control, geological mapping, and sampling requirements.
Table 21-7 shows the yearly cost estimate for the mine general services.
Table 21-7: Mine General Services Costs
Mine General Services | Units | Yr -1 | Yr 1 | Yr 2 | Yr 3 | Yr 4 | Yr 5 | Yr 6 | Yr 7 | Yr 8 | Total |
Supervision | K USD | $ | 764 | $ | 1,146 | $ | 1,146 | $ | 1,146 | $ | 1,146 | $ | 1,146 | $ | 1,146 | $ | 1,146 | $ | 764 | $ | 9,546 |
Hourly Personnel | K USD | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - | $ | - |
Total | K USD | $ | 764 | $ | 1,146 | $ | 1,146 | $ | 1,146 | $ | 1,146 | $ | 1,146 | $ | 1,146 | $ | 1,146 | $ | 764 | $ | 9,546 |
Engineering
Salaried Personnel Hourly Personnel | K USD K USD | $ $ | 381 161 | $ $ | 679 323 | $ $ | 679 323 | $ $ | 679 323 | $ $ | 679 323 | $ $ | 679 323 | $ $ | 679 323 | $ $ | 679 323 | $ $ | 453 215 | $ $ | 5,584 2,635 |
Total | K USD | $ | 542 | $ | 1,001 | $ | 1,001 | $ | 1,001 | $ | 1,001 | $ | 1,001 | $ | 1,001 | $ | 1,001 | $ | 668 | $ | 8,220 |
Mine Geology
Salaried Personnel Hourly Personnel | K USD K USD | $ $ | 318 88 | $ $ | 543 175 | $ $ | 543 175 | $ $ | 543 175 | $ $ | 175 543 | $ $ | 543 175 | $ $ | 543 175 | $ $ | 543 175 | $ $ | 362 117 | $ $ | 4,484 1,431 |
Total | K USD | $ | 406 | $ | 719 | $ | 719 | $ | 719 | $ | 719 | $ | 719 | $ | 719 | $ | 719 | $ | 479 | $ | 5,916 |
Supplies & Other
Mine General Services Supplies | K USD | $ | 6 | $ | 12 | $ | 12 | $ | 12 | $ | 12 | $ | 12 | $ | 12 | $ | 12 | $ | 8 | $ | 100 |
Engineering Supplies | K USD | $ | 15 | $ | 30 | $ | 30 | $ | 30 | $ | 30 | $ | 30 | $ | 30 | $ | 30 | $ | 20 | $ | 248 |
Geology Supplies | K USD | $ | 19 | $ | 37 | $ | 37 | $ | 37 | $ | 37 | $ | 37 | $ | 37 | $ | 37 | $ | 25 | $ | 302 |
Outside Services | K USD | $ | 38 | $ | 75 | $ | 75 | $ | 75 | $ | 75 | $ | 75 | $ | 75 | $ | 75 | $ | 50 | $ | 613 |
Light Vehicles | K USD | $ | 81 | $ | 194 | $ | 194 | $ | 194 | $ | 194 | $ | 194 | $ | 194 | $ | 194 | $ | 129 | $ | 1,567 |
Total | K USD | $ | 173 | $ | 378 | $ | 377 | $ | 377 | $ | 377 | $ | 378 | $ | 377 | $ | 377 | $ | 251 | $ | 3,066 |
Totals - Mining General
Mine General | K USD | $ | 903 | $ | 1,456 | $ | 1,455 | $ | 1,455 | $ | 1,455 | $ | 1,456 | $ | 1,455 | $ | 1,455 | $ | 970 | $ | 12,061 |
Engineering | K USD | $ | 557 | $ | 1,032 | $ | 1,032 | $ | 1,032 | $ | 1,032 | $ | 1,032 | $ | 1,032 | $ | 1,032 | $ | 688 | $ | 8,468 |
Geology | K USD | $ | 424 | $ | 756 | $ | 756 | $ | 756 | $ | 756 | $ | 756 | $ | 756 | $ | 756 | $ | 504 | $ | 6,218 |
Totals | K USD | $ | 1,884 | $ | 3,243 | $ | 3,243 | $ | 3,243 | $ | 3,243 | $ | 3,243 | $ | 3,243 | $ | 3,243 | $ | 2,162 | $ | 26,747 |
Cost per Ton Mined
Mine General Engineering Geology | $/ton $/ton $/ton | $ $ $ | 0.07 0.05 0.03 | $ $ $ | 0.05 0.03 0.02 | $ $ $ | 0.03 0.02 0.02 | $ $ $ | 0.03 0.02 0.01 | $ $ $ | 0.03 0.02 0.01 | $ $ $ | 0.03 0.02 0.01 | $ $ $ | 0.03 0.02 0.01 | $ $ $ | 0.03 0.02 0.02 | $ $ $ | 0.07 0.05 0.04 | $ $ $ | 0.03 0.02 0.02 |
Totals | $/ton | $ | 0.15 | $ | 0.10 | $ | 0.07 | $ | 0.06 | $ | 0.06 | $ | 0.06 | $ | 0.06 | $ | 0.07 | $ | 0.15 | $ | 0.07 |
Mine maintenance costs include the cost of personnel for maintenance, supervision, and planning, along with shop support personnel, including light vehicle mechanics, welders, servicemen, tire men, and maintenance labor.
The estimated mine maintenance costs are shown in Table 21-8. Note that these costs do not include the maintenance labor directly allocated to the various equipment, which is accounted for in the other mining cost categories.
| M3-PN185074 14 March 2022 Revision 1 | 21-8 |
South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
Table 21-8: Yearly Mine Maintenance Costs
Wages & Salaries | Units | Yr -1 | Yr 1 | Yr 2 | Yr 3 | Yr 4 | Yr 5 | Yr 6 | Yr 7 | Yr 8 | Total |
Supervision | K USD | $ | 391 | $ | 782 | $ | 782 | $ | 782 | $ | 782 | $ | 782 | $ | 782 | $ | 782 | $ | 522 | $ | 6,390 |
Planners | K USD | $ | 120 | $ | 240 | $ | 240 | $ | 240 | $ | 240 | $ | 240 | $ | 240 | $ | 240 | $ | 160 | $ | 1,961 |
Hourly Personnel | K USD | $ | 864 | $ | 1,728 | $ | 1,728 | $ | 1,728 | $ | 1,728 | $ | 1,728 | $ | 1,728 | $ | 1,728 | $ | 1,152 | $ | 14,109 |
Total | K USD | $ | 1,375 | $ | 2,750 | $ | 2,750 | $ | 2,750 | $ | 2,750 | $ | 2,750 | $ | 2,750 | $ | 2,750 | $ | 1,833 | $ | 22,460 |
Other Costs
Supplies Light Vehicles | K USD K USD | $ $ | 72 9 | $ $ | 144 21 | $ $ | 144 21 | $ $ | 144 21 | $ $ | 144 21 | $ $ | 144 21 | $ $ | 144 21 | $ $ | 144 21 | $ $ | 96 14 | $ $ | 1,176 173 |
Total | K USD | $ | 81 | $ | 165 | $ | 165 | $ | 165 | $ | 165 | $ | 165 | $ | 165 | $ | 165 | $ | 110 | $ | 1,349 |
Consumables & Other Costs Parts / MARC Cost Wages & Salaries | K USD K USD K USD | $ $ $ | 673 59 1,375 | $ $ $ | 1,343 116 2,750 | $ $ $ | 1,340 116 2,750 | $ $ $ | 1,340 116 2,750 | $ $ $ | 1,340 116 2,750 | $ $ $ | 1,343 116 2,750 | $ $ $ | 1,340 116 2,750 | $ $ $ | 1,340 116 2,750 | $ $ $ | 892 77 1,833 | $ $ $ | 10,951 949 22,460 |
Total | K USD | $ | 2,107 | $ | 4,210 | $ | 4,206 | $ | 4,206 | $ | 4,206 | $ | 4,210 | $ | 4,206 | $ | 4,206 | $ | 2,803 | $ | 34,360 |
Consumables Parts / MARC Cost Maintenance Labor | $/ton $/ton $/ton | $ $ $ | 0.05 0.00 0.11 | $ $ $ | 0.04 0.00 0.09 | $ $ $ | 0.03 0.00 0.06 | $ $ $ | 0.03 0.00 0.05 | $ $ $ | 0.02 0.00 0.05 | $ $ $ | 0.03 0.00 0.05 | $ $ $ | 0.03 0.00 0.05 | $ $ $ | 0.03 0.00 0.06 | $ $ $ | 0.06 0.01 0.13 | $ $ $ | 0.03 0.00 0.06 |
Total | $/ton | $ | 0.17 | $ | 0.13 | $ | 0.09 | $ | 0.08 | $ | 0.07 | $ | 0.08 | $ | 0.08 | $ | 0.09 | $ | 0.20 | $ | 0.09 |
Drilling cost estimates are shown in Table 21-9. The LOM drilling costs are estimated to be $77.6 million or $0.21 per ton including pre-production.
| M3-PN185074 14 March 2022 Revision 1 | 21-9 |
South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
Table 21-9: Yearly Drilling Costs
Drilling Operating Costs | Units | Yr -1 | Yr 1 | Yr 2 | Yr 3 | Yr 4 | Yr 5 | Yr 6 | Yr 7 | Yr 8 | Total |
Prod Drill Fuel Consumption | K Gal | | 178 | | 481 | | 714 | | 825 | | 879 | | 820 | | 821 | | 693 | | 229 | | 5,639 |
Prod Drill Fuel Cost | K USD | $ | 445 | $ | 1,202 | $ | 1,785 | $ | 2,062 | $ | 2,197 | $ | 2,050 | $ | 2,052 | $ | 1,734 | $ | 572 | $ | 14,098 |
Prod Drill Lube & Oil | K USD | $ | 352 | $ | 949 | $ | 1,410 | $ | 1,629 | $ | 1,735 | $ | 1,619 | $ | 1,621 | $ | 1,369 | $ | 452 | $ | 11,135 |
Prod Drill Drill Bits & Steel | K USD | $ | 422 | $ | 1,139 | $ | 1,692 | $ | 1,955 | $ | 2,082 | $ | 1,943 | $ | 1,946 | $ | 1,644 | $ | 542 | $ | 13,366 |
Prod Drill Total Consumables | K USD | $ | 1,220 | $ | 3,290 | $ | 4,887 | $ | 5,646 | $ | 6,014 | $ | 5,612 | $ | 5,619 | $ | 4,747 | $ | 1,566 | $ | 38,599 |
Prod Drill Parts | K USD | $ | 566 | $ | 1,528 | $ | 2,269 | $ | 2,621 | $ | 2,792 | $ | 2,606 | $ | 2,609 | $ | 2,204 | $ | 727 | $ | 17,923 |
Prod Drill Maintenance Labor | K USD | $ | 266 | $ | 702 | $ | 936 | $ | 950 | $ | 977 | $ | 950 | $ | 977 | $ | 916 | $ | 366 | $ | 7,040 |
Pioneer Drill Fuel Consumption | K Gal | | 6 | | 10 | | 12 | | 12 | | - | | 10 | | - | | - | | - | | 49 |
Pioneer Drill Fuel Cost | K USD | $ | 15 | $ | 24 | $ | 30 | $ | 29 | $ | - | $ | 25 | $ | - | $ | - | $ | - | $ | 123 |
Pioneer Drill Lube & Oil | K USD | $ | 4 | $ | 7 | $ | 9 | $ | 8 | $ | - | $ | 7 | $ | - | $ | - | $ | - | $ | 35 |
Pioneer Drill Drill Bits & Steel | K USD | $ | 11 | $ | 18 | $ | 23 | $ | 22 | $ | - | $ | 19 | $ | - | $ | - | $ | - | $ | 94 |
Pioneer Drill Total Consumables | K USD | $ | 30 | $ | 50 | $ | 62 | $ | 60 | $ | - | $ | 50 | $ | - | $ | - | $ | - | $ | 252 |
Pioneer Drill Parts / MARC Cost | K USD | $ | 16 | $ | 26 | $ | 32 | $ | 31 | $ | - | $ | 26 | $ | - | $ | - | $ | - | $ | 131 |
Pioneer Drill Maintenance Labor | K USD | $ | 19 | $ | 30 | $ | 41 | $ | 27 | $ | - | $ | 27 | $ | - | $ | - | $ | - | $ | 145 |
Total Drill Fuel Consumption | K Gal | | 184 | | 490 | | 726 | | 837 | | 879 | | 830 | | 821 | | 693 | | 229 | | 5,688 |
Total Drill Fuel Cost | K USD | $ | 460 | $ | 1,226 | $ | 1,815 | $ | 2,091 | $ | 2,197 | $ | 2,074 | $ | 2,052 | $ | 1,734 | $ | 572 | $ | 14,221 |
Total Drill Lube & Oil | K USD | $ | 356 | $ | 956 | $ | 1,418 | $ | 1,637 | $ | 1,735 | $ | 1,626 | $ | 1,621 | $ | 1,369 | $ | 452 | $ | 11,170 |
Total Drill Drill Bits & Steel | K USD | $ | 434 | $ | 1,158 | $ | 1,715 | $ | 1,977 | $ | 2,082 | $ | 1,962 | $ | 1,946 | $ | 1,644 | $ | 542 | $ | 13,460 |
Total Drill Total Consumables | K USD | $ | 1,250 | $ | 3,340 | $ | 4,949 | $ | 5,706 | $ | 6,014 | $ | 5,662 | $ | 5,619 | $ | 4,747 | $ | 1,566 | $ | 38,851 |
Total Drill Parts / MARC Cost | K USD | $ | 582 | $ | 1,553 | $ | 2,301 | $ | 2,652 | $ | 2,792 | $ | 2,632 | $ | 2,609 | $ | 2,204 | $ | 727 | $ | 18,053 |
Total Drill Maintenance Labor | K USD | $ | 285 | $ | 733 | $ | 977 | $ | 977 | $ | 977 | $ | 977 | $ | 977 | $ | 916 | $ | 366 | $ | 7,184 |
Total Drill Maintenance Allocation | K USD | $ | 867 | $ | 2,286 | $ | 3,278 | $ | 3,629 | $ | 3,769 | $ | 3,609 | $ | 3,586 | $ | 3,120 | $ | 1,093 | $ | 25,237 |
Total Operator Wages & Burden | K USD | $ | 537 | $ | 1,381 | $ | 1,841 | $ | 1,841 | $ | 1,841 | $ | 1,841 | $ | 1,841 | $ | 1,726 | $ | 690 | $ | 13,541 |
Total Drilling Cost | K USD | $ | 2,654 | $ | 7,007 | $ | 10,068 | $ | 11,176 | $ | 11,624 | $ | 11,112 | $ | 11,047 | $ | 9,592 | $ | 3,349 | $ | 77,629 |
Drilling Cost per Ton Mined by Item
Fuel Cost | $/ton | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 |
Lube & Oil | $/ton | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 |
Drill Bits & Steel | $/ton | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 |
Total Consumables | $/ton | $ | 0.10 | $ | 0.11 | $ | 0.10 | $ | 0.11 | $ | 0.11 | $ | 0.11 | $ | 0.11 | $ | 0.10 | $ | 0.11 | $ | 0.11 |
Parts / MARC Cost | $/ton | $ | 0.05 | $ | 0.05 | $ | 0.05 | $ | 0.05 | $ | 0.05 | $ | 0.05 | $ | 0.05 | $ | 0.05 | $ | 0.05 | $ | 0.05 |
Maintenance Labor | $/ton | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.03 | $ | 0.02 |
Total Maintenance Allocation | $/ton | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.08 | $ | 0.07 |
Operator Wages & Burden | $/ton | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.04 | $ | 0.05 | $ | 0.04 |
Total Drilling Cost | $/ton | $ | 0.22 | $ | 0.22 | $ | 0.21 | $ | 0.21 | $ | 0.21 | $ | 0.21 | $ | 0.21 | $ | 0.21 | $ | 0.23 | $ | 0.21 |
LOM blasting costs, including pre-production, are shown in Table 21-10. These costs are based on owner operations for blasting and assume heavy ANFO costs of $578/ton, including transportation costs, for blasting agents. Blasting accessories costs of $28.43 per hole were also included into the blasting cost estimate. The LOM blasting costs are estimated to be $88.3 million or $0.24 per ton including pre-production.
| M3-PN185074 14 March 2022 Revision 1 | 21-10 |
South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
Table 21-10: Yearly Blasting Costs
Blasting Costs | Units | Yr -1 | Yr 1 | Yr 2 | Yr 3 | Yr 4 | Yr 5 | Yr 6 | Yr 7 | Yr 8 | Total |
Fuel | K Gal | | 12 | | 25 | | 24 | | 24 | | 24 | | 25 | | 24 | | 24 | | 16 | | 200 |
Blasting Consumables | K USD | $ | 2,426 | $ | 6,455 | $ | 9,532 | $ | 10,961 | $ | 11,424 | $ | 10,941 | $ | 10,706 | $ | 9,116 | $ | 3,106 | $ | 74,667 |
Equipment Consumables | K USD | $ | 32 | $ | 63 | $ | 63 | $ | 63 | $ | 63 | $ | 63 | $ | 63 | $ | 63 | $ | 42 | $ | 517 |
Equipment Maintenance Allocations | K USD | $ | 2 | $ | 3 | $ | 3 | $ | 3 | $ | 3 | $ | 3 | $ | 3 | $ | 3 | $ | 2 | $ | 28 |
Personnel | K USD | $ | 209 | $ | 418 | $ | 418 | $ | 418 | $ | 418 | $ | 418 | $ | 418 | $ | 418 | $ | 278 | $ | 3,411 |
Supplies | K USD | $ | 6 | $ | 12 | $ | 12 | $ | 12 | $ | 12 | $ | 12 | $ | 12 | $ | 12 | $ | 8 | $ | 98 |
Outside Services | K USD | $ | 589 | $ | 1,178 | $ | 1,178 | $ | 1,178 | $ | 1,178 | $ | 1,178 | $ | 1,178 | $ | 1,178 | $ | 785 | $ | 9,620 |
Total Blasting Costs | K USD | $ | 3,263 | $ | 8,130 | $ | 11,206 | $ | 12,636 | $ | 13,099 | $ | 12,616 | $ | 12,380 | $ | 10,790 | $ | 4,222 | $ | 88,342 |
Cost per Ton
Blasting Consumables | $/ton | $ | 0.20 | $ | 0.20 | $ | 0.20 | $ | 0.21 | $ | 0.20 | $ | 0.21 | $ | 0.20 | $ | 0.20 | $ | 0.22 | $ | 0.20 |
Equipment Consumables | $/ton | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 |
Equipment Maintenance Allocations | $/ton | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 |
Personnel | $/ton | $ | 0.02 | $ | 0.01 | $ | 0.01 | $ | 0.01 | $ | 0.01 | $ | 0.01 | $ | 0.01 | $ | 0.01 | $ | 0.02 | $ | 0.01 |
Supplies | $/ton | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 |
Outside Services | $/ton | $ | 0.05 | $ | 0.04 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.03 | $ | 0.05 | $ | 0.03 |
Total | $/ton | $ | 0.27 | $ | 0.26 | $ | 0.24 | $ | 0.24 | $ | 0.23 | $ | 0.24 | $ | 0.23 | $ | 0.24 | $ | 0.30 | $ | 0.24 |
Loading costs are based on operation of two hydraulic shovels with 30 cubic yard buckets for all primary production. In addition, a 25 cubic yard front-end-loader is assumed to be used as supplemental production and projects. The LOM loading costs are estimated to be $86.1 million or $0.23 per ton including pre-production. The yearly loading cost estimate is shown in Table 21-11.
| M3-PN185074 14 March 2022 Revision 1 | 21-11 |
South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
Table 21-11: Yearly Loading Costs
Shovel Costs | Units | Yr -1 | Yr 1 | Yr 2 | Yr 3 | Yr 4 | Yr 5 | Yr 6 | Yr 7 | Yr 8 | Total |
Fuel Consumption | K Gal | | 260 | | 595 | | 1,162 | | 1,170 | | 1,157 | | 1,147 | | 1,134 | | 1,114 | | 332 | | 8,070 |
Fuel Cost | K USD | $ | 649 | $ | 1,487 | $ | 2,905 | $ | 2,925 | $ | 2,892 | $ | 2,867 | $ | 2,834 | $ | 2,785 | $ | 829 | $ | 20,175 |
Lube & Oil | K USD | $ | 240 | $ | 550 | $ | 1,073 | $ | 1,081 | $ | 1,068 | $ | 1,059 | $ | 1,047 | $ | 1,029 | $ | 306 | $ | 7,453 |
Wear Items & GET | K USD | $ | 154 | $ | 354 | $ | 691 | $ | 696 | $ | 688 | $ | 682 | $ | 674 | $ | 662 | $ | 197 | $ | 4,798 |
Total Consumables | K USD | $ | 1,044 | $ | 2,391 | $ | 4,669 | $ | 4,702 | $ | 4,649 | $ | 4,608 | $ | 4,556 | $ | 4,476 | $ | 1,332 | $ | 32,426 |
Parts / MARC Cost | K USD | $ | 665 | $ | 1,523 | $ | 2,975 | $ | 2,996 | $ | 2,962 | $ | 2,936 | $ | 2,903 | $ | 2,852 | $ | 849 | $ | 20,661 |
Total Equip. Allocation (no labor) | K USD | $ | 1,708 | $ | 3,914 | $ | 7,645 | $ | 7,698 | $ | 7,611 | $ | 7,544 | $ | 7,458 | $ | 7,328 | $ | 2,181 | $ | 53,087 |
Loader Cost | | | | | | | | | | | |
Fuel Consumption | K Gal | | 79 | | 287 | | 193 | | 299 | | 339 | | 295 | | 313 | | 194 | | 73 | | 2,072 |
Fuel Cost | K USD | $ | 197 | $ | 718 | $ | 483 | $ | 748 | $ | 847 | $ | 737 | $ | 782 | $ | 484 | $ | 183 | $ | 5,179 |
Lube & Oil | K USD | $ | 79 | $ | 287 | $ | 193 | $ | 299 | $ | 339 | $ | 294 | $ | 313 | $ | 193 | $ | 73 | $ | 2,070 |
Tires | K USD | $ | 49 | $ | 180 | $ | 121 | $ | 187 | $ | 212 | $ | 184 | $ | 196 | $ | 121 | $ | 46 | $ | 1,297 |
Wear Items & GET | K USD | $ | 39 | $ | 142 | $ | 96 | $ | 148 | $ | 168 | $ | 146 | $ | 155 | $ | 96 | $ | 36 | $ | 1,026 |
Total Consumables | K USD | $ | 364 | $ | 1,327 | $ | 892 | $ | 1,382 | $ | 1,566 | $ | 1,362 | $ | 1,446 | $ | 895 | $ | 339 | $ | 9,571 |
Parts / MARC Cost | K USD | $ | 122 | $ | 444 | $ | 299 | $ | 462 | $ | 524 | $ | 456 | $ | 484 | $ | 299 | $ | 113 | $ | 3,202 |
Total Equip. Allocation (no labor) | K USD | $ | 486 | $ | 1,771 | $ | 1,191 | $ | 1,844 | $ | 2,090 | $ | 1,817 | $ | 1,930 | $ | 1,194 | $ | 452 | $ | 12,773 |
Total Loading Cost | | | | | | | | | | | | | | | | | | | | | |
Fuel Consumption | K Gal | | 338 | | 882 | | 1,355 | | 1,469 | | 1,496 | | 1,442 | | 1,447 | | 1,308 | | 405 | | 10,142 |
Fuel Cost | K USD | $ | 846 | $ | 2,205 | $ | 3,388 | $ | 3,673 | $ | 3,740 | $ | 3,604 | $ | 3,617 | $ | 3,269 | $ | 1,012 | $ | 25,354 |
Lube & Oil | K USD | $ | 319 | $ | 836 | $ | 1,266 | $ | 1,380 | $ | 1,407 | $ | 1,354 | $ | 1,360 | $ | 1,222 | $ | 379 | $ | 9,523 |
Tires | K USD | $ | 49 | $ | 180 | $ | 121 | $ | 187 | $ | 212 | $ | 184 | $ | 196 | $ | 121 | $ | 46 | $ | 1,297 |
Wear Items & GET | K USD | $ | 193 | $ | 496 | $ | 787 | $ | 844 | $ | 856 | $ | 828 | $ | 829 | $ | 758 | $ | 233 | $ | 5,824 |
Total Consumables | K USD | $ | 1,407 | $ | 3,718 | $ | 5,562 | $ | 6,083 | $ | 6,214 | $ | 5,970 | $ | 6,001 | $ | 5,371 | $ | 1,671 | $ | 41,997 |
Parts / MARC Cost | K USD | $ | 787 | $ | 1,967 | $ | 3,274 | $ | 3,458 | $ | 3,486 | $ | 3,392 | $ | 3,386 | $ | 3,151 | $ | 962 | $ | 23,863 |
Total Equip. Allocation (no labor) | K USD | $ | 2,194 | $ | 5,685 | $ | 8,836 | $ | 9,542 | $ | 9,700 | $ | 9,361 | $ | 9,388 | $ | 8,522 | $ | 2,633 | $ | 65,860 |
Maintenance Labor | K USD | $ | 244 | $ | 611 | $ | 936 | $ | 977 | $ | 977 | $ | 977 | $ | 977 | $ | 957 | $ | 336 | $ | 6,991 |
Operator Wages & Burden | K USD | $ | 460 | $ | 1,227 | $ | 1,759 | $ | 1,841 | $ | 1,841 | $ | 1,841 | $ | 1,841 | $ | 1,800 | $ | 624 | $ | 13,231 |
Total Loading Costs | K USD | $ | 2,898 | $ | 7,522 | $ | 11,530 | $ | 12,359 | $ | 12,517 | $ | 12,179 | $ | 12,205 | $ | 11,278 | $ | 3,593 | $ | 86,082 |
Cost per Ton | |
Fuel Cost | $/ton | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.07 |
Lube & Oil | $/ton | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 |
Tires / Under Carriage | $/ton | $ | 0.00 | $ | 0.01 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 | $ | 0.00 |
Wear Items & GET | $/ton | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 |
Total Consumables | $/ton | $ | 0.11 | $ | 0.12 | $ | 0.12 | $ | 0.11 | $ | 0.11 | $ | 0.11 | $ | 0.11 | $ | 0.12 | $ | 0.12 | $ | 0.11 |
Parts / MARC Cost | $/ton | $ | 0.06 | $ | 0.06 | $ | 0.07 | $ | 0.06 | $ | 0.06 | $ | 0.06 | $ | 0.06 | $ | 0.07 | $ | 0.07 | $ | 0.07 |
Total Equip. Allocation (no labor) | $/ton | $ | 0.18 | $ | 0.18 | $ | 0.19 | $ | 0.18 | $ | 0.17 | $ | 0.18 | $ | 0.18 | $ | 0.19 | $ | 0.18 | $ | 0.18 |
Maintenance Labor | $/ton | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 |
Operator Wages & Burden | $/ton | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.03 | $ | 0.04 | $ | 0.04 | $ | 0.04 |
Total Loading Cost | $/ton | $ | 0.24 | $ | 0.24 | $ | 0.24 | $ | 0.23 | $ | 0.22 | $ | 0.23 | $ | 0.23 | $ | 0.25 | $ | 0.25 | $ | 0.23 |
Haulage cost was estimated using the truck hour estimates discussed in Section 16.5.3. The LOM hauling costs are estimated to be $212.5 million or $0.58 per ton including pre-production. The yearly haulage cost estimate is shown in Table 21-12.
| M3-PN185074 14 March 2022 Revision 1 | 21-12 |
South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
Table 21-12: Yearly Haulage Costs
Total Truck Hours | Units | Yr -1 | Yr 1 | Yr 2 | Yr 3 | Yr 4 | Yr 5 | Yr 6 | Yr 7 | Yr 8 | Total |
Productive Hours | Prod Hrs | | 10,609 | | 39,785 | | 72,258 | | 73,333 | | 72,521 | | 71,867 | | 70,979 | | 70,503 | | 31,463 | | 513,318 |
Operating Efficiency | % | | 83% | | 83% | | 83% | | 83% | | 83% | | 83% | | 83% | | 83% | | 83% | | 83% |
Operating Hours | Op Hrs | | 12,731 | | 47,741 | | 86,709 | | 87,999 | | 87,025 | | 86,241 | | 85,175 | | 84,603 | | 37,755 | | 615,981 |
Equipment Hours | Eq Hrs | | 14,550 | | 54,562 | | 99,096 | | 100,571 | | 99,457 | | 98,561 | | 97,343 | | 96,690 | | 43,149 | | 703,978 |
Number of Trucks | # | | 5 | | 8 | | 13 | | 13 | | 13 | | 13 | | 13 | | 13 | | 13 | | 13 |
Truck Availability | % | | 90% | | 90% | | 90% | | 89% | | 88% | | 87% | | 86% | | 85% | | 85% | | 90% |
Available Equipment Hours | Op Hrs | | 12,739 | | 47,738 | | 86,758 | | 88,017 | | 87,020 | | 86,261 | | 85,182 | | 84,723 | | 38,253 | | 616,690 |
Use of Available Hours | % | | 100% | | 100% | | 100% | | 100% | | 100% | | 100% | | 100% | | 100% | | 99% | | 100% |
Haulage Cost | | | | | | | | | | | |
Fuel Consumption | K Gal | 528 | 1,980 | 3,596 | 3,650 | 3,609 | 3,577 | 3,532 | 3,509 | 1,566 | 25,546 |
Fuel Cost | K USD | $ | 1,320 | $ | 4,950 | $ | 8,990 | $ | 9,124 | $ | 9,023 | $ | 8,942 | $ | 8,831 | $ | 8,772 | $ | 3,915 | $ | 63,866 |
Lube & Oil | K USD | $ | 606 | $ | 2,271 | $ | 4,125 | $ | 4,187 | $ | 4,140 | $ | 4,103 | $ | 4,052 | $ | 4,025 | $ | 1,796 | $ | 29,307 |
Tires | K USD | $ | 361 | $ | 1,352 | $ | 2,456 | $ | 2,492 | $ | 2,465 | $ | 2,442 | $ | 2,412 | $ | 2,396 | $ | 1,069 | $ | 17,445 |
Wear Items & GET | K USD | $ | 182 | $ | 682 | $ | 1,239 | $ | 1,257 | $ | 1,243 | $ | 1,232 | $ | 1,217 | $ | 1,209 | $ | 539 | $ | 8,800 |
Total Consumables | K USD | $ | 2,468 | $ | 9,255 | $ | 16,810 | $ | 17,060 | $ | 16,871 | $ | 16,719 | $ | 16,513 | $ | 16,402 | $ | 7,319 | $ | 119,417 |
Parts / MARC Cost | K USD | $ | 579 | $ | 2,172 | $ | 3,945 | $ | 4,004 | $ | 3,959 | $ | 3,924 | $ | 3,875 | $ | 3,849 | $ | 1,718 | $ | 28,025 |
Total Equip. Allocation (no labor) | K USD | $ | 3,047 | $ | 11,427 | $ | 20,755 | $ | 21,064 | $ | 20,830 | $ | 20,643 | $ | 20,388 | $ | 20,251 | $ | 9,037 | $ | 147,443 |
Maintenance Labor | K USD | $ | 448 | $ | 1,689 | $ | 3,093 | $ | 3,175 | $ | 3,175 | $ | 3,175 | $ | 3,175 | $ | 3,175 | $ | 1,445 | $ | 22,549 |
Operator Wages & Burden | K USD | $ | 844 | $ | 3,184 | $ | 5,831 | $ | 5,984 | $ | 5,984 | $ | 5,984 | $ | 5,984 | $ | 5,984 | $ | 2,723 | $ | 42,501 |
Total Haulage Costs | K USD | $ | 4,339 | $ | 16,300 | $ | 29,679 | $ | 30,222 | $ | 29,989 | $ | 29,802 | $ | 29,547 | $ | 29,410 | $ | 13,206 | $ | 212,493 |
Cost per Ton Moved | | | | | | | | | | | | | | | | | | | | | |
Fuel Cost | $/ton | $ | 0.11 | $ | 0.16 | $ | 0.19 | $ | 0.17 | $ | 0.16 | $ | 0.17 | $ | 0.17 | $ | 0.19 | $ | 0.27 | $ | 0.17 |
Lube & Oil | $/ton | $ | 0.05 | $ | 0.07 | $ | 0.09 | $ | 0.08 | $ | 0.07 | $ | 0.08 | $ | 0.08 | $ | 0.09 | $ | 0.13 | $ | 0.08 |
Tires | $/ton | $ | 0.03 | $ | 0.04 | $ | 0.05 | $ | 0.05 | $ | 0.04 | $ | 0.05 | $ | 0.05 | $ | 0.05 | $ | 0.07 | $ | 0.05 |
Wear Items & GET | $/ton | $ | 0.01 | $ | 0.02 | $ | 0.03 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.02 | $ | 0.03 | $ | 0.04 | $ | 0.02 |
Total Consumables | $/ton | $ | 0.20 | $ | 0.29 | $ | 0.36 | $ | 0.32 | $ | 0.30 | $ | 0.32 | $ | 0.31 | $ | 0.36 | $ | 0.51 | $ | 0.33 |
Parts / MARC Cost | $/ton | $ | 0.05 | $ | 0.07 | $ | 0.08 | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.08 | $ | 0.12 | $ | 0.08 |
Total Equip. Allocation (no labor) | $/ton | $ | 0.25 | $ | 0.36 | $ | 0.44 | $ | 0.39 | $ | 0.37 | $ | 0.39 | $ | 0.39 | $ | 0.44 | $ | 0.63 | $ | 0.40 |
Maintenance Labor | $/ton | $ | 0.04 | $ | 0.05 | $ | 0.07 | $ | 0.06 | $ | 0.06 | $ | 0.06 | $ | 0.06 | $ | 0.07 | $ | 0.10 | $ | 0.06 |
Operator Wages & Burden | $/ton | $ | 0.07 | $ | 0.10 | $ | 0.12 | $ | 0.11 | $ | 0.11 | $ | 0.11 | $ | 0.11 | $ | 0.13 | $ | 0.19 | $ | 0.12 |
Total Haulage Costs | $/ton | $ | 0.35 | $ | 0.52 | $ | 0.63 | $ | 0.57 | $ | 0.53 | $ | 0.56 | $ | 0.56 | $ | 0.64 | $ | 0.92 | $ | 0.58 |
Yearly mine support cost estimates are shown in Table 21-13 including pre-production costs. These costs assume the hourly costs for required support equipment and personnel as discussed in Sections 16.5 and 16.6 respectively. The LOM support costs are estimated to be $95.3 million or $0.26 per ton including pre-production.
Table 21-13: Yearly Mine Support Costs
Total Mine Support Costs | Units | | Yr -1 | | Yr 1 | | Yr 2 | | Yr 3 | | Yr 4 | | Yr 5 | | Yr 6 | | Yr 7 | | Yr 8 | | Total |
Consumables | K | USD | $ | 1,759 | $ | 3,498 | $ | 4,606 | $ | 4,607 | $ | 4,608 | $ | 4,620 | $ | 4,607 | $ | 4,605 | $ | 2,417 | $ | 35,326 |
Parts / MARC Cost | K | USD | $ | 763 | $ | 1,518 | $ | 1,870 | $ | 1,871 | $ | 1,871 | $ | 1,876 | $ | 1,871 | $ | 1,870 | $ | 1,038 | $ | 14,548 |
Maintenance Labor | K | USD | $ | 794 | $ | 1,587 | $ | 2,015 | $ | 2,015 | $ | 2,015 | $ | 2,015 | $ | 2,015 | $ | 2,015 | $ | 1,094 | $ | 15,564 |
Operating Labor | K | USD | $ | 1,525 | $ | 3,051 | $ | 3,872 | $ | 3,872 | $ | 3,872 | $ | 3,872 | $ | 3,872 | $ | 3,872 | $ | 2,102 | $ | 29,910 |
Total | K | USD | $ | 4,841 | $ | 9,655 | $ | 12,363 | $ | 12,364 | $ | 12,366 | $ | 12,383 | $ | 12,365 | $ | 12,361 | $ | 6,652 | $ | 95,348 |
Cost per Ton Mined | | | | | | | | | | | | | | | | | | | | | |
Consumables | $/ton | $ | 0.14 | $ | 0.11 | $ | 0.10 | $ | 0.09 | $ | 0.08 | $ | 0.09 | $ | 0.09 | $ | 0.10 | $ | 0.17 | $ | 0.10 |
Maintenance Allocations | $/ton | $ | 0.06 | $ | 0.05 | $ | 0.04 | $ | 0.04 | $ | 0.03 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.07 | $ | 0.04 |
Maintenance Labor | $/ton | $ | 0.06 | $ | 0.05 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.04 | $ | 0.08 | $ | 0.04 |
Operating Labor | $/ton | $ | 0.12 | $ | 0.10 | $ | 0.08 | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.07 | $ | 0.08 | $ | 0.15 | $ | 0.08 |
Total Costs | $/ton | $ | 0.39 | $ | 0.31 | $ | 0.26 | $ | 0.23 | $ | 0.22 | $ | 0.23 | $ | 0.23 | $ | 0.27 | $ | 0.47 | $ | 0.26 |
| M3-PN185074 14 March 2022 Revision 1 | 21-13 |
South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
| 21.4.8 | Leasing and Rental Costs |
Leasing and rental costs were assumed for specific equipment based on vendor inputs as to typical leasing rates. The leasing of equipment was assumed to be “lease to own” terms where Gold Standard Ventures would own the equipment at the end of the lease terms. Leased equipment, other than haul trucks, assumed 20% down payment of the equipment value, including taxes, erecting, and commissioning. An annual percentage rate (APR) of 4.75% was used with equipment amortized over a period of five years. Haul trucks were leased using 0% down payment with a 5.5% APR over seven years. Leased equipment was broken down by period in which it was placed into service for the purpose of amortization and includes:
Primary Mining Equipment
| ● | Four production drills put into service between third quarter of year -1 and first quarter of year 4; |
| ● | One 25 cubic yard loader put into service in the fourth quarter of year -1; |
| ● | Two 30 cubic yard hydraulic shovels put into service in the third quarter of year -1 and first quarter of year 2; and |
| ● | Thirteen 200-ton capacity haul trucks put into service between first quarter year -1 and the first quarter of year 2. |
Support equipment
| ● | Four 600 hp size dozers put into service with two in third quarter of year -1 and two in the first quarter of year 2; |
| ● | One 900 hp size rubber tire dozer put into service in third quarter of year -1; |
| ● | Two 18-foot motor graders both put into service in third quarter of year -1; |
| ● | Two 20,000-gallon water trucks both put into service in third quarter of year -1; |
| ● | One truck and lowboy put into service in third quarter of year -1; and |
| ● | One 6 cubic yard excavator put into service in third quarter of year -1. |
Maintenance Equipment
| ● | One lube and fuel truck put into service in third quarter of year -1; |
| ● | Two mechanic trucks put into service in third quarter of year -1; and |
| ● | One tire truck put in service into third quarter of year -1. |
Equipment rental was assumed for short term equipment requirements for pioneer drills. One pioneer drill is assumed to be rented during the first two months of each Dark Star mining phase as well as the first two months of the first two Pinion mining phases.
Rental terms are assumed to require 10% down payment of the equipment value, included taxes, erecting, and commissioning along with 6% rental payments. This is assumed to cover mobilization and demobilization. The rental payments are applied directly to operating costs.
Table 21-14 shows the total estimated leasing and rental costs applied to operating costs. These costs are on top of the leasing costs that are capitalized and represent the leasing interest and all rental costs. The LOM leasing and rental costs are estimated to be $18.4 million or $0.05 per ton including pre-production.
| M3-PN185074 14 March 2022 Revision 1 | 21-14 |
South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
Table 21-14: Lease and Rental Operating Costs
Leasing Interest Payments | Units | Yr -1 | Yr 1 | Yr 2 | Yr 3 | Yr 4 | Yr 5 | Yr 6 | Yr 7 | Yr 8 | Total |
Primary Equipment | K USD | $ | 284 | $ | 2,158 | $ | 3,272 | $ | 3,067 | $ | 2,434 | $ | 1,767 | $ | 1,152 | $ | 603 | $ | 183 | $ | 14,919 |
Support Equipment | K USD | $ | 199 | $ | 707 | $ | 669 | $ | 525 | $ | 331 | $ | 129 | $ | 30 | $ | 2 | $ | - | $ | 2,591 |
Maintenance Equipment | K USD | $ | 14 | $ | 51 | $ | 40 | $ | 29 | $ | 17 | $ | 5 | $ | - | $ | - | $ | - | $ | 157 |
Total Leased Equipment Interest | K USD | $ | 498 | $ | 2,915 | $ | 3,981 | $ | 3,621 | $ | 2,783 | $ | 1,900 | $ | 1,182 | $ | 605 | $ | 183 | $ | 17,668 |
Total Leased Equipment Interest | $/ton Mined | $ | 0.01 | $ | 0.11 | $ | 0.15 | $ | 0.12 | $ | 0.09 | $ | 0.06 | $ | 0.11 | $ | 0.22 | $ | - | $ | 0.05 |
Rental Equipment Costs | | | | | | | | | | | | | | | | | | | | | |
Down Payments and Mob/DeMob | K USD | $ | 77 | $ | - | $ | - | $ | - | $ | - | $ | 77 | $ | - | $ | - | $ | - | $ | 155 |
Rental Interest Charge | K USD | $ | 93 | $ | 139 | $ | 139 | $ | 93 | $ | - | $ | 93 | $ | - | $ | - | $ | - | $ | 556 |
Total Rental Equipment Costs | K USD | $ | 170 | $ | 139 | $ | 139 | $ | 93 | $ | - | $ | 170 | $ | - | $ | - | $ | - | $ | 711 |
| $/ton Mined | $ | 0.00 | $ | 0.01 | $ | 0.01 | $ | 0.00 | $ | - | $ | 0.01 | $ | - | $ | - | $ | - | $ | 0.00 |
Total Addition to Operating Costs | K USD | $ | 668 | $ | 3,055 | $ | 4,120 | $ | 3,713 | $ | 2,783 | $ | 2,070 | $ | 1,182 | $ | 605 | $ | 183 | $ | 18,378 |
| $/ton Mined | $ | 0.05 | $ | 0.10 | $ | 0.09 | $ | 0.07 | $ | 0.05 | $ | 0.04 | $ | 0.02 | $ | 0.01 | $ | 0.01 | $ | 0.05 |
| 21.5 | Process Operating Cost Summary |
Process operating costs have been estimated by M3 from first principles. Labor costs were estimated using project specific staffing, salary and wage, and benefit requirements. Unit consumptions of materials, supplies, power, and delivered supply costs were also estimated. LOM overall average processing costs are estimated at an average cost of $2.05 per ton. Process operating costs by process type are shown in Table 21-15.
Table 21-15: LOM Operating Costs by Process Type, US$/ton ore
Type | Operating Cost (US$/Ton) |
ROM | $2.05 |
Operating costs were estimated based on 4th quarter 2021 US dollars and are presented with no added contingency based upon the design and operating criteria present in this Technical Report. Operating costs are considered to have an accuracy of +/- 15%.
The process operating costs presented are based upon the ownership of all process production equipment and site facilities. The owner will employ and direct all operating maintenance and support personnel for all site activities.
Operating costs estimates have been based upon information obtained from the following sources:
| ● | Project metallurgical test work and process engineering |
| ● | Development of a detailed equipment list and demand calculations |
| ● | M3 In-house data for reagent pricing |
| ● | Experience with other similar operations |
Where specific data do not exist, cost allowances have been based upon consumption and operating requirements from other similar properties for which reliable data exist. Overall LOM operating costs by year and process type are presented in Table 21-16.
| M3-PN185074 14 March 2022 Revision 1 | 21-15 |
South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
Table 21-16: Life of Mine Average Process Operating Cost by Year
Category | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 | Year 6 | Year 7 | Year 8 | Year 9 | Year 10 | Year 11 | LOM Total |
Total Tons |
TOTAL Process Plant Ore (000's) | 7,295 | 7,688 | 10,800 | 10,396 | 11,940 | 10,170 | 7,367 | 6,214 | - | - | - | 71,870 |
|
Operating Costs (US$000's) |
TOTAL ROM Ore | $ | 11,124 | $ | 13,097 | $ | 18,399 | $ | 17,710 | $ | 20,340 | $ | 17,326 | $ | 12,550 | $ | 10,586 | $ | 2,279 | $ | 2,279 | $ | 1,140 | $ | 126,831 |
TOTAL Water Management Systems | $ | 6,442 | $ | 3,442 | $ | 3,442 | $ | 3,442 | $ | 165 | $ | 165 | $ | 165 | $ | 1,165 | $ | 165 | $ | 186 | $ | 93 | $ | 18,873 |
TOTAL Generator Lease (Interest) | $ | 425 | $ | 371 | $ | 314 | $ | 253 | $ | 189 | $ | 120 | $ | 48 | | - | | - | | - | | - | $ | 1,721 |
GRAND TOTAL (US$000's) | $ | 17,992 | $ | 16,911 | $ | 22,155 | $ | 21,406 | $ | 20,694 | $ | 17,611 | $ | 12,763 | $ | 11,751 | $ | 2,444 | $ | 2,465 | $ | 1,233 | $ | 147,424 |
| M3-PN185074 14 March 2022 Revision 1 | 21-16 |
South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
21.5.1 | Personnel and Staffing |
Staffing requirements for process personnel have been estimated by M3 based on experience with similar-sized operations in Nevada. Total process personnel requirements are estimated at 33 persons for the ROM operation. For the last 2.5 years of non-active mining or ore placement on the pad, the ADR facility requirements are estimated at 7 persons. Personnel requirements and costs are estimated at $2.5 million per year for the ROM operation and $735 thousand per year for the ADR Only facility operation.
Power usage for the process and process-facilities was derived from estimated connected loads assigned to powered equipment from the mechanical equipment list. Equipment power demands under normal operation were assigned and coupled with estimated on-stream times to determine the average energy usage and cost. Power requirements for the project are presented in Table 21-17.
Table 21-17: Power Requirements Summary
| ROM Process |
Area Description | Connecter Power (kW) | Demand (kW) | Annual (kWh) |
AREA 310 - HEAP LEACH PAD & PONDS | 22 | 14 | 126,804 |
AREA 350 - SOLUTION TRANSFER | 1,725 | 740 | 6,484,314 |
AREA 400 - ADR | 247 | 97 | 850,166 |
AREA 500 - REFINERY | 245 | 73 | 640,938 |
AREA 650 - WATER SYSTEMS | 340 | 168 | 1,469,778 |
AREA 800 - REAGENTS | 33 | 11 | 92,221 |
AREA 900 - ANCILLARY FACILITIES | 75 | 25 | 216,144 |
AREA 960 - FUEL STATION | 7 | 4 | 37,465 |
Total | 2,693 | 1,132 | 9,917,830 |
Power will be generated via LNG generators on the project site at an estimated cost of $0.15/kWh.
Operating supplies have been estimated based upon unit costs and consumption rates projected by metallurgical tests. Freight costs are included in all operating supply and reagent estimates. Reagent consumptions have been derived from test work and from design criteria considerations. Other consumable items have been estimated by M3 based on experience with other similar operations. Table 21-18 presents average consumptions for major consumables.
| M3-PN185074 14 March 2022 Revision 1 | 21-17 |
South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
Table 21-18: Process Consumables Average Annual Consumptions
Item | Form | Average Annual Consumption |
Sodium Cyanide | Liquid at 30% NaCN by Weight | 2,070 tons |
Lime | Bulk Delivery (22 tons) | 9,000 tons |
Antiscalant | Liquid Tote (IBC) | 90 tons |
Carbon | 1000 lb Supersacks | 45 tons |
Nitric Acid | Liquid at 57% Acid by weight | 225 tons |
Caustic | Liquid at 50% NaOH by Weight | 90 tons |
Refinery Fluxes | Dry Solid Bags | 10 tons |
Operating costs for consumable items have been distributed based on tonnage and gold/silver production or smelting batches, as appropriate.
Annual maintenance costs have been included for the process facilities. The maintenance costs are estimated from the capital cost of the plant equipment at an allowance of 5% for parts repair or replacement. Maintenance labor is also included. The maintenance labor includes one maintenance supervisor, four mechanics, and two electricians. These personnel are included as part of the overall process personnel quantity. An allowance for outside repairs is also included at 10% of the maintenance parts allowance. The total annual maintenance is estimated at $1.69 million per year for the first eight years of operation.
21.5.5 | Supplies and Services |
Estimates for supplies and services have been included for items such as lubricants, third-party services for the process plant, safety items, and minor supplies and tools outside of maintenance. The total annual supplies and services is estimated at $338 thousand per year for the first eight years of operation.
21.5.6 | Process Operating Cost Exclusions |
The following operating costs are excluded from the process plant operating cost estimate:
| ● | G&A costs (see section 21.6) |
| ● | Access road and internal roads maintenance |
| ● | Operating cost contingency |
| ● | Currency exchange fluctuations |
21.5.7 | Generator Lease Costs |
Leasing costs were assumed for the LNG Generators based on vendor inputs as to typical leading rate. The leasing of equipment was assumed to be “lease to own” terms where GSV would own the equipment at the end of the lease terms. Leased generators assumed 20% down payment of the equipment value. An annual percentage rate (APR) of 6% was assumed with equipment amortized over a period of eight years for the four generators. Leased equipment was broken down by period in which it was placed into service for the purpose of amortization.
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G&A costs were included based on benchmarks for similar-sized facilities within Nevada or the surrounding region. The G&A costs also include an allowance for bussing personnel to and from site during operations.
G&A costs are included at $4.25 million per year for the first eight years of operation, which are the years of active mining and ore stacking on the pad. An annual G&A cost of $1.5 million is included for years 9 and 10, which are the full years of solution application on the heap leach pad for recovery of residual ounces from the pad. G&A costs of $750 thousand are included for the last half year of solution application on the heap leach pad for recovery of residual ounces from the pad.
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
SECTION 22 TABLE OF CONTENTS
SECTION | PAGE |
22 | ECONOMIC ANALYSIS | 22-1 |
| 22.1 | Mining Physicals | 22-1 |
| 22.2 | Process Plant Production Statistics | 22-1 |
| 22.3 | Smelter Return Factors | 22-3 |
| 22.4 | Capital Expenditure | 22-3 |
| 22.5 | Revenue | 22-3 |
| 22.6 | Total Production Cost | 22-3 |
| 22.7 | Depreciation | 22-4 |
| 22.8 | Royalties | 22-4 |
| 22.9 | Government Fees | 22-4 |
| 22.10 | Excise Tax | 22-4 |
| 22.11 | Income Tax | 22-4 |
| 22.12 | Net Income After-tax | 22-4 |
| 22.13 | Project Financing | 22-4 |
| 22.14 | Economic Indicators | 22-4 |
| 22.15 | Sensitivity Analysis | 22-5 |
| 22.16 | Detailed Financial Model | 22-5 |
SECTION 22 LIST OF TABLES
TABLE | DESCRIPTION | PAGE |
Table 22-1: | Yearly Mine & Process Physicals | 22-2 |
Table 22-2: | Life of Mine Process Statistics | 22-3 |
Table 22-3: | Capital Expenditure Schedule | 22-3 |
Table 22-4 | LOM Operating Costs | 22-4 |
Table 22-5: | Key Economic Results | 22-5 |
Table 22-6: | Sensitivity Analysis | 22-5 |
Table 22-7: | Detailed Financial Model | 22-6 |
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
The economic analysis in this study includes a feasibility study-compliant modeling of the annual cash flows based on projected production volume, sales revenue, initial capital, operating cost, and sustaining capital with resulting evaluation of key economic indicators such as internal rate of return (IRR), net present value (NPV), and payback period (time in years to recapture the initial capital investment) for the Project. The sales revenue is based on the production of gold and silver in doré bullion. The estimates of the capital expenditures and site production costs have been developed specifically for this project and have been presented in the Section 21 of this Technical Report.
The cash-flow model uses the mining and production schedules as discussed in Section 16 and summarized in Table 22-1. Results from the heap leach metal production model are included with this table to facilitate direct comparison between placed ounces, recoverable ounces, and recovered ounces. Placed ounces are per the mine plan and stacking plan. Recoverable ounces follow the leach kinetic curves for the placed ounces after cyanide-bearing solution has started being applied. Recovered ounces incorporate the time based constraints for the time it takes leached ounces to reach the pad liner and report to the metal recovery plant. Ore is placed on the pad for an eight year period. Solution application continues for an additional 2.5 years to allow recovery of the solubilized ounces.
22.2 | Process Plant Production Statistics |
Ore will be processed by cyanide heap leaching as ROM and recovered via an ADR facility as described in Section 17 of this Technical Report. Overall production over the life of mine is summarized in Table 22-2.
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Table 22-1: Yearly Mine & Process Physicals
Material Mined | Units | Pre- Prod | Yr 1 | Yr 2 | Yr 3 | Yr 4 | Yr 5 | Yr 6 | Yr 7 | Yr 8 | Yr 9 | Yr 10 | Yr 11 | Total |
Total Ore | K Tons | 1,150 | 6,145 | 7,688 | 10,877 | 10,319 | 12,563 | 9,547 | 7,367 | 6,214 | - | - | - | 71,870 |
Au oz/t | 0.019 | 0.024 | 0.034 | 0.032 | 0.017 | 0.017 | 0.015 | 0.019 | 0.023 | - | - | - | 0.022 |
Ag oz/t | - | 0.020 | 0.031 | 0.063 | 0.080 | 0.091 | 0.062 | 0.171 | 0.204 | - | - | - | 0.085 |
K oz Au | 22 | 149 | 264 | 347 | 180 | 218 | 141 | 137 | 145 | - | - | - | 1,604 |
K oz Ag | - | 122 | 235 | 687 | 828 | 1,141 | 594 | 1,259 | 1,270 | - | - | - | 6,137 |
Total Waste | K Tons | 11,127 | 25,416 | 39,504 | 42,536 | 45,953 | 40,325 | 43,339 | 38,241 | 8,073 | - | - | - | 294,514 |
Total Mined | K Tons | 12,277 | 31,561 | 47,192 | 53,413 | 56,272 | 52,888 | 52,886 | 45,608 | 14,287 | - | - | - | 366,384 |
Strip Ratio | W : O | 9.68 | 4.14 | 5.14 | 3.91 | 4.45 | 3.21 | 4.54 | 5.19 | 1.30 | - | - | - | 4.10 |
Total Ore Processed | Units | Pre- Prod | Yr 1 | Yr 2 | Yr 3 | Yr 4 | Yr 5 | Yr 6 | Yr 7 | Yr 8 | Yr 9 | Yr 10 | Yr 11 | Total |
Total Ore Processed | K Tons | - | 7,295 | 7,688 | 10,800 | 10,396 | 11,940 | 10,170 | 7,367 | 6,214 | - | - | - | 71,870 |
Au oz/t | - | 0.023 | 0.034 | 0.032 | 0.017 | 0.017 | 0.015 | 0.019 | 0.023 | - | - | - | 0.022 |
Ag oz/t | - | 0.019 | 0.031 | 0.063 | 0.080 | 0.090 | 0.066 | 0.171 | 0.204 | - | - | - | 0.085 |
Total Placed | K oz Au | - | 171 | 264 | 346 | 182 | 205 | 154 | 137 | 145 | - | - | - | 1,604 |
Total Recoverable | K oz Au | - | 122 | 193 | 233 | 108 | 120 | 93 | 77 | 90 | - | - | - | 1,035 |
Total Recovered | K oz Au | - | 82 | 197 | 191 | 138 | 106 | 103 | 80 | 95 | 25 | 12 | 2 | 1,031 |
Total Placed | K oz Ag | - | 122 | 235 | 679 | 836 | 1,069 | 667 | 1,259 | 1,270 | - | - | - | 6,137 |
Total Recoverable | K oz Ag | - | 13 | 25 | 78 | 88 | 111 | 67 | 139 | 143 | - | - | - | 664 |
Total Recovered | K oz Ag | - | 4 | 31 | 32 | 95 | 84 | 82 | 98 | 154 | 29 | 34 | 8 | 651 |
Cumulative Recovery | % Au | - | 47.8% | 64.0% | 60.2% | 63.2% | 61.1% | 61.8% | 61.4% | 61.8% | 63.3% | 64.1% | 64.3% | 64.3% |
% Ag | - | 3.4% | 9.7% | 6.4% | 8.7% | 8.4% | 9.1% | 8.7% | 9.4% | 9.9% | 10.5% | 10.6% | 10.6% |
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
Table 22-2: Life of Mine Process Statistics
Total Ore (kt) | 71,870 |
Gold (oz/t) | 0.022 |
Silver (oz/t) | 0.085 |
Contained Gold (kozs) | 1,604 |
Contained Silver (kozs) | 6,137 |
Gold Recovery % | 64.5% |
Silver Recovery % | 10.8% |
Recovered Gold (kozs) | 1,031 |
Recovered Silver (kozs) | 651 |
22.3 | Smelter Return Factors |
No contractual payable metal rates have yet been negotiated with smelters. M3 used typical rates based on industry experience or published guidelines. Payable rates for metals used were 99.97% for gold and 99.0% for silver. A bullion refining, transportation and insurance charge of $5 per troy ounce of gold was applied.
The project has a silver streaming agreement where GSV retains 15% of the revenue associated with silver. The impact of the silver streaming agreement is reflected in the project economic parameters.
The capital expenditure schedule for the life of mine is shown in Table 22-3 below.
Table 22-3: Capital Expenditure Schedule
Capital Expenditure, $000 | Initial | Sustaining |
Year -1 | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 | Year 6 | Year 7 | Year 8 | Year 9 | Year 10 |
Mine Pre-Production | $ | 22,640 | | | | | | | | | | | | | | | | | | | | |
Mine Capital | $ | 13,943 | $ | 10,703 | $ | 16,798 | $ | 16,306 | $ | 16,914 | $ | 16,284 | $ | 10,884 | $ | 9,147 | $ | 5,588 | $ | 0 | $ | 0 |
Process | $ | 152,458 | $ | 27,169 | $ | 8,953 | $ | 15,149 | $ | 6,798 | $ | 13,850 | $ | 5,375 | $ | 2,563 | $ | 1,329 | $ | 1,223 | $ | 1,644 |
Owner's Cost | $ | 1,157 | | | | | | | | | | | | | | | | | | | | |
Total | $ | 190,197 | $ | 37,872 | $ | 25,751 | $ | 31,455 | $ | 23,712 | $ | 30,133 | $ | 16,259 | $ | 11,710 | $ | 6,918 | $ | 1,223 | $ | 1,644 |
Annual revenue is determined by applying metal prices to the annual payable metal estimated for each operating year. Sales prices have been applied to all life-of-mine production without escalation or hedging. Gold bullion revenue is based on the gross value of the payable metals sold before refining and transportation charges. Gold and silver metal pricing are based on a market study by the Owner as presented in Section 19:
Gold $1,650 per troy ounce
Silver $21.50 per troy ounce
22.6 | Total Production Cost |
The total production cost includes mine operations, process plant operations, general administration, reclamation and closure, and government fees. Table 22-4 shows the estimated operating costs by area based on payable metals for the life of mine.
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Table 22-4: LOM Operating Costs
LOM Operating Cost ($000) |
Mining | $616,504 |
Process Plant | $147,424 |
G&A | $37,750 |
Refining | $5,153 |
Total Operating Cost | $806,832 |
Royalty | $10,911 |
Salvage Value | -$12,410 |
Reclamation/Closure | $22,569 |
Total Production Cost | $827,901 |
The depreciation cost was calculated using a 7-year modified accelerated cost recovery system (MACRS) depreciation method following both initial and sustaining capital.
As discussed in Section 4 to this Technical Report, portions of the unpatented and private lands are encumbered with royalties predominantly in the form of standard NSR or GSR and MP royalty agreements, or NPI agreements. GSV intends to buy down certain existing NSR royalties prior to production. The royalty value in Table 22-4 reflects the expected net royalty amounts.
No government fees have been applied to the financial model.
An excise tax is applied to gross revenue. The excise tax rate is 0.75% for gross annual revenue between $20 million and $150 million. The excise tax rate is 1.10% for gross annual revenue above $150 million.
A net proceeds tax of 5% is applied to revenue minus excise tax, operating cost, and depreciation. Regular corporate tax of 21% is applied to taxable corporation income after adjustments for state tax, if any, and net proceeds tax. No state income tax was applied.
22.12 | NET INCOME AFTER-TAX |
The net income after-taxes is projected to be $403 million.
It is assumed that the project will be all equity financed.
The economic analyses for the project are summarized in Table 22-5 below. The NPV calculations have been conducted per the Mid-Year discounting method, as opposed to the Year-End discounting method. The Mid-Year discounting method provides a closer representation of how cash flows are expected to be received in a normal year of operation.
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
Table 22-5: Key Economic Results
Indicators | Before-Tax | After-Tax |
LOM Cash Flow ($000) | $497,330 | $403,162 |
NPV @ 5% ($000) | $388,866 | $314,791 |
NPV @ 10% ($000) | $307,248 | $247,592 |
IRR | 49.2% | 44.3% |
Payback (years) | 1.9 | 1.9 |
22.15 | Sensitivity Analysis |
Table 22-6 below shows the sensitivity analysis of the key economic indicators (cash flow, NPV, IRR, and payback) to changes in gold prices.
Table 22-6: Sensitivity Analysis
Financial Indicators | Spot Case | Base +$150 | Base Case | Base -150 | Base -250 |
Gold Price (per troy oz) | $1,899 | $1,800 | $1,650 | $1,500 | $1,400 |
Silver Price (per troy oz) | $21.50 | $21.50 | $21.50 | $21.50 | $21.50 |
Pre-tax Cash Flow, $M | $753.9 | $651.9 | $497.3 | $342.8 | $239.8 |
Pre-tax Net Present Value (5%) in $M | $603.0 | $517.9 | $388.9 | $259.9 | $173.9 |
Pre-tax Internal Rate of Return (IRR) | 68.2% | 60.8% | 49.2% | 36.5% | 27.2% |
Pre-tax Payback (Years) | 1.6 | 1.7 | 1.9 | 2.1 | 2.4 |
After-tax Cash Flow, $M | $606.3 | $526.1 | $403.2 | $280.9 | $199.0 |
After-tax Net Present Value (5%) in $M | $486.4 | $418.7 | $314.8 | $211.2 | $141.6 |
After-tax Internal Rate of Return (IRR) | 62.1% | 55.3% | 44.3% | 32.6% | 24.0% |
After-tax Payback (Years) | 1.6 | 1.7 | 1.9 | 2.2 | 2.4 |
22.16 | Detailed Financial Model |
The detailed financial model, shown in Table 22-7 below, was developed in compliance with the FS requirement. This model has captured all the parameters of the mine production volume, annual sales revenue, and all the associated costs. This model was used to calculate the economics of the project, as well as for the sensitivity analysis.
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Table 22-7: Detailed Financial Model
GSV South Railroad FS-Financial Model | | | | | | | | | | | | | | | | |
M3-PN185074.602 | LOM | Year -1 | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 | Year 6 | Year 7 | Year 8 | Year 9 | Year 10 | Year 11 | Year 12 | Year 13 | Year 14 | Year 15 |
Mine | | | | | | | | | | | | | | | | | |
Ore (kt) | 71,870 | 1,150 | 6,145 | 7,688 | 10,877 | 10,319 | 12,563 | 9,547 | 7,367 | 6,214 | - | - | - | - | - | - | - |
Gold (oz/t) | 0.022 | 0.019 | 0.024 | 0.034 | 0.032 | 0.017 | 0.017 | 0.015 | 0.019 | 0.023 | - | - | - | - | - | - | - |
Silver (oz/t) | 0.085 | - | 0.020 | 0.031 | 0.063 | 0.080 | 0.091 | 0.062 | 0.171 | 0.204 | - | - | - | - | - | - | - |
Contained Gold (kozs) | 1,604 | 22 | 149 | 264 | 347 | 180 | 218 | 141 | 137 | 145 | - | - | - | - | - | - | - |
Contained Silver (kozs) | 6,137 | - | 122 | 235 | 687 | 828 | 1,141 | 594 | 1,259 | 1,270 | - | - | - | - | - | - | - |
Waste (kt) | 294,514 | 11,127 | 25,416 | 39,504 | 42,536 | 45,953 | 40,325 | 43,339 | 38,241 | 8,073 | - | - | - | - | - | - | - |
Total Material Mined (kt) | 366,384 | 12,277 | 31,561 | 47,192 | 53,413 | 56,272 | 52,888 | 52,886 | 45,608 | 14,287 | - | - | - | - | - | - | - |
Process Plant | | | | | | | | | | | | | | | | | |
ROM Processing | | | | | | | | | | | | | | | | | |
Dark Star (kt) | 32,142 | 765 | 5,422 | 5,552 | 6,189 | 5,119 | 3,993 | 5,102 | - | - | - | - | - | - | - | - | - |
Gold (oz/t) | 0.026 | 0.019 | 0.025 | 0.040 | 0.041 | 0.016 | 0.016 | 0.013 | - | - | - | - | - | - | - | - | - |
Silver (oz/t) | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Contained Gold (kozs) | 840 | 15 | 136 | 222 | 257 | 80 | 63 | 68 | - | - | - | - | - | - | - | - | - |
Contained Silver (kozs) | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Gold Recovery % | 72.0% | | | | | | | | | | | | | | | | |
Silver Recovery % | 0.0% | | | | | | | | | | | | | | | | |
Recovered Gold (kozs) | 604 | 2 | 54 | 122 | 161 | 102 | 79 | 53 | 20 | 9 | 1 | - | - | - | - | - | - |
Recovered Silver (kozs) | - | | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Pinion (kt) | 39,728 | | 1,108 | 2,136 | 4,611 | 5,277 | 7,947 | 5,068 | 7,367 | 6,214 | - | - | | | | | |
Gold (oz/t) | 0.019 | | 0.018 | 0.020 | 0.019 | 0.019 | 0.018 | 0.017 | 0.019 | 0.023 | - | - | | | | | |
Silver (oz/t) | 0.154 | | 0.110 | 0.110 | 0.147 | 0.158 | 0.135 | 0.132 | 0.171 | 0.204 | - | - | - | - | - | - | - |
Contained Gold (kozs) | 764 | | 20 | 42 | 89 | 102 | 143 | 86 | 137 | 145 | - | - | - | - | - | - | - |
Contained Silver (kozs) | 6,137 | | 122 | 235 | 679 | 836 | 1,069 | 667 | 1,259 | 1,270 | - | - | - | - | - | - | - |
Gold Recovery% | 56.3% | | | | | | | | | | | | | | | | |
Silver Recovery% | 10.8% | | | | | | | | | | | | | | | | |
Recovered Gold (kozs) | 430 | | 5 | 21 | 30 | 50 | 58 | 59 | 69 | 86 | 54 | - | - | - | - | - | - |
Recovered Silver (kozs) | 664 | | 5 | 20 | 42 | 74 | 93 | 87 | 114 | 137 | 91 | - | - | - | - | - | - |
Total ROM (kt) | 71,870 | 765 | 6,530 | 7,688 | 10,800 | 10,396 | 11,940 | 10,170 | 7,367 | 6,214 | - | - | - | - | - | - | - |
Gold (oz/t) | 0.022 | 0.019 | 0.024 | 0.034 | 0.032 | 0.017 | 0.017 | 0.015 | 0.019 | 0.023 | - | - | - | - | - | - | - |
Silver (oz/t) | 0.085 | - | 0.019 | 0.031 | 0.063 | 0.080 | 0.090 | 0.066 | 0.171 | 0.204 | - | - | - | - | - | - | - |
Contained Gold (kozs) | 1,604 | 15 | 156 | 264 | 346 | 182 | 205 | 154 | 137 | 145 | - | - | - | - | - | - | - |
Contained Silver (kozs) | 6,137 | - | 122 | 235 | 679 | 836 | 1,069 | 667 | 1,259 | 1,270 | - | - | - | - | - | - | - |
Gold Recovery % | 64.5% | | | | | | | | | | | | | | | | |
Silver Recovery % | 10.8% | | | | | | | | | | | | | | | | |
Recovered Gold (kozs) | 1,035 | 2 | 59 | 143 | 192 | 152 | 137 | 112 | 89 | 95 | 55 | - | - | - | - | - | - |
Recovered Silver (kozs) | 664 | - | 5 | 20 | 42 | 74 | 93 | 87 | 114 | 137 | 91 | - | - | - | - | - | - |
Total Processing | | | | | | | | | | | | | | | | | |
Total Ore (kt) | 71,870 | 765 | 6,530 | 7,688 | 10,800 | 10,396 | 11,940 | 10,170 | 7,367 | 6,214 | - | - | - | - | - | - | - |
Gold (oz/t) | 0.022 | 0.019 | 0.024 | 0.034 | 0.032 | 0.017 | 0.017 | 0.015 | 0.019 | 0.023 | - | - | - | - | - | - | - |
Silver (oz/t) | 0.085 | - | 0.019 | 0.031 | 0.063 | 0.080 | 0.090 | 0.066 | 0.171 | 0.204 | - | - | - | - | - | - | - |
Contained Gold (kozs) | 1,604 | 15 | 156 | 264 | 346 | 182 | 205 | 154 | 137 | 145 | - | - | - | - | - | - | - |
Contained Silver (kozs) | 6,137 | - | 122 | 235 | 679 | 836 | 1,069 | 667 | 1,259 | 1,270 | - | - | - | - | - | - | - |
Gold Recovery % | 64.5% | 11.9% | 37.8% | 54.3% | 55.4% | 83.6% | 66.7% | 72.5% | 64.9% | 65.3% | - | - | - | - | - | - | - |
Silver Recovery % | 10.8% | | 3.9% | 8.5% | 6.2% | 8.9% | 8.7% | 13.1% | 9.0% | 10.8% | - | - | - | - | - | - | - |
Leached Gold Recovery % | 99.6% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Leached Silver Recovery % | 98.1% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Recovered Gold (kozs) | 1,031 | | 84 | 131 | 112 | 194 | 209 | 79 | 57 | 50 | 6 | 1 | - | - | - | - | - |
Recovered Silver (kozs) | 651 | | - | - | - | 58 | 175 | 308 | 304 | 196 | 17 | 3 | - | - | - | - | - |
Payable Metals | | | | | | | | | | | | | | | | | |
Gold (kozs) | 1,030 | | 82 | 197 | 191 | 138 | 105 | 103 | 80 | 95 | 25 | 12 | 2 | - | - | - | - |
Silver (kozs) | 644 | | 4 | 30 | 32 | 94 | 83 | 81 | 97 | 153 | 29 | 34 | 8 | - | - | - | - |
Metal Prices | | | | | | | | | | | | | | | | | |
Gold ($/oz) | $1,650.00 | | $1,650.00 | $1,650.00 | $1,650.00 | $1,650.00 | $1,650.00 | $1,650.00 | $1,650.00 | $1,650.00 | $1,650.00 | $1,650.00 | $1,650.00 | | | | |
Silver ($/oz) | $21.50 | | $21.50 | $21.50 | $21.50 | $21.50 | $21.50 | $21.50 | $21.50 | $21.50 | $21.50 | $21.50 | $21.50 | | | | |
Revenues ($000) | | | | | | | | | | | | | | | | | |
Gold | $1,700,026 | | $134,573 | $324,351 | $315,483 | $228,359 | $174,067 | $169,835 | $131,754 | $156,266 | $41,033 | $20,418 | $3,887 | $0 | $0 | $0 | $0 |
Silver; Net of Silver Streaming Agreement | $2,078 | | $13 | $98 | $102 | $305 | $268 | $260 | $314 | $492 | $92 | $109 | $26 | $0 | $0 | $0 | $0 |
Total Revenues | $1,702,105 | | $134,586 | $324,449 | $315,585 | $228,664 | $174,335 | $170,095 | $132,068 | $156,758 | $41,125 | $20,527 | $3,913 | $0 | $0 | $0 | $0 |
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
GSV South Railroad FS-Financial Model | | | | | | | | | | | | | | | | |
M3-PN185074.602 | LOM | Year -1 | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 | Year 6 | Year 7 | Year 8 | Year 9 | Year 10 | Year 11 | Year 12 | Year 13 | Year 14 | Year 15 |
Operating Cost ($000) | | | | | | | | | | | | | | | | | |
Mining | $616,504 | | $59,092 | $86,386 | $89,891 | $89,798 | $87,585 | $86,145 | $81,457 | $36,150 | $0 | $0 | $0 | $0 | $0 | $0 | $0 |
Process Plant | $147,424 | | $17,992 | $16,911 | $22,155 | $21,406 | $20,694 | $17,611 | $12,763 | $11,751 | $2,444 | $2,465 | $1,233 | $0 | $0 | $0 | $0 |
G&A | $37,750 | | $4,250 | $4,250 | $4,250 | $4,250 | $4,250 | $4,250 | $4,250 | $4,250 | $1,500 | $1,500 | $750 | $0 | $0 | $0 | $0 |
Refining | $5,153 | | $408 | $983 | $956 | $692 | $528 | $515 | $399 | $474 | $124 | $62 | $12 | $0 | $0 | $0 | $0 |
Total Operating Cost | $806,832 | | $81,743 | $108,530 | $117,252 | $116,146 | $113,056 | $108,521 | $98,869 | $52,625 | $4,069 | $4,027 | $1,995 | $0 | $0 | $0 | $0 |
Royalty | $10,911 | | $0 | $0 | $2,271 | $1,954 | $1,757 | $1,335 | $1,264 | $1,446 | $884 | $0 | $0 | $0 | $0 | $0 | $0 |
Salvage Value | -$12,410 | | $0 | $0 | $0 | $0 | $0 | $0 | $0 | -$12,410 | $0 | $0 | $0 | $0 | $0 | $0 | $0 |
Reclamation/Closure | $22,569 | | $0 | $183 | $1,333 | $1,321 | $1,254 | $1,388 | $2,176 | $2,334 | $1,622 | $0 | $10,958 | $0 | $0 | $0 | $0 |
Total Production Cost | $827,901 | | $81,743 | $108,712 | $120,856 | $119,421 | $116,067 | $111,244 | $102,309 | $43,995 | $6,575 | $4,027 | $12,952 | $0 | $0 | $0 | $0 |
Operating Income | $874,204 | | $52,844 | $215,737 | $194,729 | $109,243 | $58,268 | $58,851 | $29,760 | $112,763 | $34,550 | $16,500 | -$9,039 | $0 | $0 | $0 | $0 |
Depreciation ($000) | | | | | | | | | | | | | | | | | |
Total Capital | $433,214 | | $50,292 | $51,256 | $56,183 | $62,151 | $66,807 | $34,485 | $32,052 | $29,689 | $23,822 | $17,141 | $9,337 | $0 | $0 | $0 | $0 |
Total Depreciation | $433,214 | | $50,292 | $51,256 | $56,183 | $62,151 | $66,807 | $34,485 | $32,052 | $29,689 | $23,822 | $17,141 | $9,337 | $0 | $0 | $0 | $0 |
Net Income after Depreciation | $440,990 | | $2,552 | $164,481 | $138,546 | $47,092 | -$8,539 | $24,366 | -$2,292 | $83,074 | $10,727 | -$642 | -$18,377 | $0 | $0 | $0 | $0 |
Taxes ($000) | | | | | | | | | | | | | | | | | |
Net Proceeds & Excise Tax | $39,599 | | $1,659 | $11,079 | $10,085 | $5,164 | $2,146 | $2,364 | $841 | $4,822 | $1,155 | $285 | $0 | $0 | $0 | $0 | $0 |
Income Tax | $54,570 | | $284 | $4,908 | $19,719 | $7,845 | $1,577 | $2,082 | $0 | $13,060 | $3,975 | $1,120 | $0 | $0 | $0 | $0 | $0 |
Total Taxes | $94,169 | | $1,944 | $15,987 | $29,804 | $13,009 | $3,722 | $4,446 | $841 | $17,882 | $5,130 | $1,404 | $0 | $0 | $0 | $0 | $0 |
Net Income After-Taxes ($000) | $346,821 | | $608 | $148,494 | $108,742 | $34,083 | -$12,261 | $19,921 | -$3,132 | $65,192 | $5,597 | -$2,046 | -$18,377 | $0 | $0 | $0 | $0 |
Cash Flow ($000) | | | | | | | | | | | | | | | | | |
Net Income Before-Taxes | $440,990 | | $2,552 | $164,481 | $138,546 | $47,092 | -$8,539 | $24,366 | -$2,292 | $83,074 | $10,727 | -$642 | -$18,377 | $0 | $0 | $0 | $0 |
Add back Depreciation | $433,214 | | $50,292 | $51,256 | $56,183 | $62,151 | $66,807 | $34,485 | $32,052 | $29,689 | $23,822 | $17,141 | $9,337 | $0 | $0 | $0 | $0 |
Operating Cash Flow | $874,204 | | $52,844 | $215,737 | $194,729 | $109,243 | $58,268 | $58,851 | $29,760 | $112,763 | $34,550 | $16,500 | -$9,039 | $0 | $0 | $0 | $0 |
Working Capital ($000) | | | | | | | | | | | | | | | | | |
Accounts Receivable | $0 | $0 | -$3,687 | -$5,202 | $243 | $2,381 | $1,488 | $116 | $1,042 | -$676 | $3,168 | $564 | $455 | $107 | $0 | $0 | $0 |
Accounts Payable | $0 | $23,449 | -$8,702 | $1,808 | $1,779 | -$1,091 | $411 | -$2,270 | -$1,751 | -$6,292 | -$6,689 | $47 | -$453 | -$246 | $0 | $0 | $0 |
Inventory (parts) | $0 | $0 | | | | | | | | | | | | | | | |
Total Working Capital | $0 | $23,449 | -$12,389 | -$3,394 | $2,021 | $1,290 | $1,899 | -$2,154 | -$709 | -$6,969 | -$3,520 | $611 | $2 | -$139 | $0 | $0 | $0 |
Initial Capital Expenditures ($000) | | | | | | | | | | | | | | | | | |
Pre-stripping | $22,640 | $22,640 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 |
Mining | $13,943 | $13,943 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 |
Process | $152,458 | $152,458 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 |
Owner's Cost | $1,157 | $1,157 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 |
Sustaining Capital Expenditures ($000) | | | | | | | | | | | | | | | | | |
Mining | $102,624 | | $10,703 | $16,798 | $16,306 | $16,914 | $16,284 | $10,884 | $9,147 | $5,588 | $0 | $0 | $0 | $0 | $0 | $0 | $0 |
Process | $84,052 | | $27,169 | $8,953 | $15,149 | $6,798 | $13,850 | $5,375 | $2,563 | $1,329 | $1,223 | $1,644 | $0 | $0 | $0 | $0 | $0 |
Owner's Cost | $0 | | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 |
Total Capital | $376,873 | $190,197 | $37,872 | $25,751 | $31,455 | $23,712 | $30,133 | $16,259 | $11,710 | $6,918 | $1,223 | $1,644 | $0 | $0 | $0 | $0 | $0 |
Cash Flow Before-Taxes ($000) | $497,330 | -$166,748 | $2,582 | $186,592 | $165,296 | $86,822 | $30,033 | $40,438 | $17,341 | $98,877 | $29,807 | $15,467 | -$9,037 | -$139 | $0 | $0 | $0 |
Cumulative Cash Flow Before-Taxes ($000) | -$166,748 | -$164,166 | $22,426 | $187,722 | $274,544 | $304,577 | $345,015 | $362,356 | $461,233 | $491,039 | $506,506 | $497,469 | $497,330 | $497,330 | $497,330 | $497,330 |
Taxes | $94,169 | $0 | $0 | $1,944 | $15,987 | $29,804 | $13,009 | $3,722 | $4,446 | $841 | $17,882 | $5,130 | $1,404 | $0 | $0 | $0 | $0 |
Cash Flow After-Taxes ($000) | $403,162 | -$166,748 | $2,582 | $184,649 | $149,309 | $57,018 | $17,025 | $36,716 | $12,895 | $98,036 | $11,924 | $10,337 | -$10,442 | -$139 | $0 | $0 | $0 |
Cumulative Cash Flow After-Taxes ($000) | -$166,748 | -$164,166 | $20,482 | $169,791 | $226,809 | $243,833 | $280,549 | $293,444 | $391,481 | $403,405 | $413,742 | $403,300 | $403,162 | $403,162 | $403,162 | $403,162 |
Financial Indicators Before-Taxes | | | | | | | | | | | | | | | | | |
NPV @ 0% | $497,330 | | | | | | | | | | | | | | | | |
NPV @ 5% | $388,866 | | | | | | | | | | | | | | | | |
NPV @ 10% | $307,248 | | | | | | | | | | | | | | | | |
IRR | 49.2% | | | | | | | | | | | | | | | | |
Payback (years) | 1.9 | | 1.0 | 0.9 | - | - | - | - | - | - | - | - | - | - | - | - | - |
Financial Indicators After-Taxes | | | | | | | | | | | | | | | | | |
NPV @ 0% | $403,162 | | | | | | | | | | | | | | | | |
NPV @ 5% | $314,791 | | | | | | | | | | | | | | | | |
NPV @ 10% | $247,592 | | | | | | | | | | | | | | | | |
IRR | 44.3% | | | | | | | | | | | | | | | | |
Payback (years) | 1.9 | | 1.0 | 0.9 | - | - | - | - | - | - | - | - | - | - | - | - | - |
Payable Au (kozs) | 1,030 | - | 82 | 197 | 191 | 138 | 105 | 103 | 80 | 95 | 25 | 12 | 2 | - | - | - | - |
Mining | $616,504 | $0 | $59,092 | $86,386 | $89,891 | $89,798 | $87,585 | $86,145 | $81,457 | $36,150 | $0 | $0 | $0 | $0 | $0 | $0 | $0 |
Process Plant | $147,424 | $0 | $17,992 | $16,911 | $22,155 | $21,406 | $20,694 | $17,611 | $12,763 | $11,751 | $2,444 | $2,465 | $1,233 | $0 | $0 | $0 | $0 |
G&A | $37,750 | $0 | $4,250 | $4,250 | $4,250 | $4,250 | $4,250 | $4,250 | $4,250 | $4,250 | $1,500 | $1,500 | $750 | $0 | $0 | $0 | $0 |
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
GSV South Railroad FS-Financial Model | | | | | | | | | | | | | | | | |
M3-PN185074.602 | LOM | Year -1 | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 | Year 6 | Year 7 | Year 8 | Year 9 | Year 10 | Year 11 | Year 12 | Year 13 | Year 14 | Year 15 |
Refining | $5,153 | $0 | $408 | $983 | $956 | $692 | $528 | $515 | $399 | $474 | $124 | $62 | $12 | $0 | $0 | $0 | $0 |
Royalty | $10,911 | $0 | $0 | $0 | $2,271 | $1,954 | $1,757 | $1,335 | $1,264 | $1,446 | $884 | $0 | $0 | $0 | $0 | $0 | $0 |
Cash Cost before By-Product Credit | $817,743 | $0 | $81,743 | $108,530 | $119,523 | $118,100 | $114,813 | $109,856 | $100,132 | $54,071 | $4,953 | $4,027 | $1,995 | $0 | $0 | $0 | $0 |
$/Au oz | $794 | $0 | $1,002 | $552 | $625 | $853 | $1,088 | $1,067 | $1,254 | $571 | $199 | $325 | $847 | $0 | $0 | $0 | $0 |
Silver Credit | $2,078 | $0 | $13 | $98 | $102 | $305 | $268 | $260 | $314 | $492 | $92 | $109 | $26 | $0 | $0 | $0 | $0 |
Cash Cost after By-Product Credit | $815,664 | $0 | $81,729 | $108,432 | $119,421 | $117,795 | $114,546 | $109,596 | $99,818 | $53,579 | $4,860 | $3,918 | $1,969 | $0 | $0 | $0 | $0 |
$/oz Au | $792 | $0 | $1,002 | $552 | $625 | $851 | $1,086 | $1,065 | $1,250 | $566 | $195 | $317 | $836 | $0 | $0 | $0 | $0 |
Sustaining Capital Expenditures | | | | | | | | | | | | | | | | | |
Mining | $102,624 | $0 | $10,703 | $16,798 | $16,306 | $16,914 | $16,284 | $10,884 | $9,147 | $5,588 | $0 | $0 | $0 | $0 | $0 | $0 | $0 |
Process | $84,052 | $0 | $27,169 | $8,953 | $15,149 | $6,798 | $13,850 | $5,375 | $2,563 | $1,329 | $1,223 | $1,644 | $0 | $0 | $0 | $0 | $0 |
Owner's Cost | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 |
Salvage Value | -$12,410 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | $0 | -$12,410 | $0 | $0 | $0 | $0 | $0 | $0 | $0 |
Reclamation/Closure | $22,569 | $0 | $0 | $183 | $1,333 | $1,321 | $1,254 | $1,388 | $2,176 | $2,334 | $1,622 | $0 | $10,958 | $0 | $0 | $0 | $0 |
Net Proceeds Tax | $39,599 | $0 | $1,659 | $11,079 | $10,085 | $5,164 | $2,146 | $2,364 | $841 | $4,822 | $1,155 | $285 | $0 | $0 | $0 | $0 | $0 |
AISC | $1,052,098 | $0 | $121,261 | $145,445 | $162,294 | $147,991 | $148,079 | $129,607 | $114,545 | $55,243 | $8,860 | $5,846 | $12,926 | $0 | $0 | $0 | $0 |
$/oz Au | $1,021 | $0 | $1,487 | $740 | $849 | $1,069 | $1,404 | $1,259 | $1,434 | $583 | $356 | $472 | $5,487 | $0 | $0 | $0 | $0 |
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
SECTION 23 TABLE OF CONTENTS
SECTION | | PAGE |
23 | ADJACENT PROPERTIES | 23-1 |
| 23.1 | RAIN | 23-1 |
| 23.2 | EMIGRANT | 23-2 |
| 23.3 | PONY CREEK PROPERTY | 23-2 |
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The Railroad- Pinion property is situated along the southeastern portion of the Carlin Gold Trend. The Rain Mining District, which is largely controlled by Nevada Gold Mines, is located 2 to 3 km (1.2 to 2 miles) north of the Railroad-Pinion property. The Rain District has been an active exploration and mining area for several decades and is the location for current and past mining activities by Nevada Gold Mines and Newmont Mining at the Rain open pit and underground mine and Emigrant open pit mine. To the south of the Railroad-Pinion property, several exploration areas have received sporadic exploration over the past three to four decades including Pony Creek. Adjacent properties with bearing or influence on the Railroad-Pinion property are described below. The authors of this Technical Report have not visited or worked at any of these projects and where references are made to past production and/or historic or current mineral resources the authors have not verified the information.
Rain is a Carlin-style, sedimentary rock-hosted gold deposit that is located approximately four miles (seven kilometers) north of Gold Standard’s North Bullion mineral resource. Newmont operated the Rain open pit mine, the Rain underground mine and the SMZ open pit mine from 1988 to 2000; and produced approximately 1.24 million ounces (Ressel et al., 2015. Longo et al. (2002) summarized a number of mineral resources for the three deposits as follows: Rain open pit 15.5 million tons (14.1 million tonnes) at 0.066 opt (2.3 g/t) Au for a total of 1,017,300 ounces of gold; Rain Underground 1.154 million tons (1.04 million tonnes) at 0.23 opt (7.9 g/t) Au for a total of 265,000 ounces of gold and the SMZ open pit 1.5 million tons (1.4 million tonnes) at 0.019 opt (0.65 g/t) Au for a total of 30,000 ounces of gold. The mineral resources pre-date NI 43-101 and little or no detailed information such as potential mineral resource category or number of drill holes is presented for the estimates or how the mineral resources were arrived at. Therefore, the estimates are considered historic in nature and should not be relied upon. The authors of this Technical Report have been unable to verify this and this information is not necessarily indicative of the mineralization of the Railroad-Pinion property.
Along strike to the northwest of the Rain Project and likely on the same structure are the Saddle and Tess gold deposits. The mineralized zones are roughly 3.5 km (2 miles) north of the Railroad-Pinion Project and 10 km (6 miles) northwest of the North Bullion mineral resource. Longo et al. (2002) states that Newmont identified a primarily underground high sulphide mineral resource of 1.37 million tons (1.23 million tonnes) at 0.572 opt (19.6 g/t) Au for a total of 782,000 ounces of gold at Saddle and 3.99 million tons (3.59 million tonnes) at 0.37 opt (12.7 g/t) Au for a total of 1,475,000 ounces of gold at Tess. The project was part of the Newmont South Area of operations but has recently been consolidated under the Newmont/Barrick Joint Venture (Nevada Gold Mines). No mining has been conducted at the two deposits. The mineral resources pre-date NI 43-101 and little or no detailed information such as potential mineral resource category or number of drill holes etc. is presented for the estimates or how the mineral resources were arrived at, therefore, the estimates are considered historic in nature and should not be relied upon. The authors of this Technical Report have not visited the Rain property, nor have they verified the historic estimates provided by Longo et al. (2002).
The Rain trend of mineralization is characterized by disseminated gold mineralization hosted in dominantly oxidized, silicified, dolomitized, and barite rich collapse breccia with rare sulfides, developed along the Webb Formation mudstone/Devils Gate Formation calcarenite contact and along the Rain Fault. Ore-controlling features at Rain include the west-northwest striking Rain fault, the Webb/Devils Gate contact, collapse breccia and northeast striking cross faults. Shallow oxide zones at the Rain deposit give way along the west-northwest trend to deeper sulphide- and carbon-bearing zones of substantial size and grade at the Saddle and Tess deposits.
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South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
Emigrant is a Carlin-style, sedimentary rock-hosted gold deposit that is located approximately four miles (seven kilometers) north-northeast of the North Bullion mineral deposits. Until recently Newmont/Nevada Gold Mines has been mining the deposit through open pit methods and processing the ore at an onsite, run of mine heap leach operation with some crushing. The operation currently appears to be shut down. Disseminated gold mineralization is hosted in oxidized, silicified, dolomitized, and barite rich collapse breccia developed within the Webb Formation mudstone. Important ore-controlling features at Emigrant include the north-south-striking Emigrant Fault, collapse breccia and the Northeast Fault.
Open pit, oxide mineral resource and mineral reserve calculations for Newmont’s Carlin Trend operations are typically commingled into a single heading of “Carlin open pits, Nevada” category. In 2003, mineral reserves at Emigrant were published at 1,220,000 ounces (Newmont, 2012). No details were provided by Newmont as to the quality of the mineral reserves. The mine is expected to produce roughly 800,000 ounces of gold over a ten plus year mine life and has recently commenced production (Harding, 2012). The authors of this Technical Report have been unable to verify this and this information is not necessarily indicative of the mineralization on the Railroad-Pinion property.
Pony Creek is located approximately six miles (10 kilometers) south of the Pinion deposit. Gold mineralization is hosted in north to northeast-trending shears in rhyolite intrusive and Mississippian to Permian age sediments proximal to the intrusive (Russell, 2006).
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24 | OTHER RELEVANT DATA AND INFORMATION |
There are no additional data for the South Railroad property beyond that discussed in the preceding sections.
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SECTION 25 TABLE OF CONTENTS
SECTION | PAGE |
25 | INTERPRETATION AND CONCLUSIONS | 25-1 |
| 25.1 | Project Risks | 25-1 |
| | 25.1.1 | Geotechnical Characterization | 25-1 |
| | 25.1.2 | Pit Lake Geochemistry | 25-1 |
| 25.2 | Project Opportunities | 25-2 |
| 25.3 | Exploration And Mineral Resource Expansion | 25-2 |
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25 | INTERPRETATION AND CONCLUSIONS |
The authors of this Technical Report believe that South Railroad is a project of merit and warrants advancing the study to detailed engineering and ultimately project construction.
The authors have reviewed the project data, including the drill-hole database and available metallurgical information, and have visited the project site. The authors believe that the data provided by Gold Standard, as well as the geological interpretations Gold Standard has derived from the data, are generally an accurate and reasonable representation of the Railroad-Pinion property. Based on the positive results of this FS, the project should continue on a path to a production decision.
Presently there are 1.60 million proven and probable ounces of gold and 6.1 million ounces of silver in the Dark Star and Pinion deposits estimated mineral reserves combined, 1.78 million measured and indicated ounces of gold in the Dark Star and Pinion deposits estimated mineral resources combined, inclusive of mineral reserves in the Dark Star and Pinion deposits, and there are 0.72 million inferred ounces of gold in the Dark Star, Pinion, Jasperoid Wash and North Bullion deposits estimated mineral resources combined. There are also 7.1 million Measured and Indicated and 0.9 million Inferred ounces of silver in the Pinion resource. Mineral resources that are not mineral reserves do not have demonstrated economic viability.
Results of historical metallurgical tests and those commissioned by Gold Standard indicate there are multiple metallurgical material types within the Pinion and Dark Star gold deposits. Due to the multiple material types and the dependence of gold recoveries on head grades, 40 different gold and silver ROM recovery equations are used to project the processing and gold and silver production estimates presented in this Technical Report.
The process selected for recovery of gold and silver from the Pinion and Dark Star mineralized material is a conventional heap-leach recovery circuit. The material will be mined by standard open-pit mining methods and trucked from each deposit to a centralized area of heap-leach pads and processing facilities.
The FS indicates an average gold production over the estimated 8-year LOM of about 124,000 ounces per year, with peak production in Year 2 of 197,000 ounces of gold. Cash costs are estimated to be $792 per ounce of gold after by-product credit, and AISC are estimated to be $1,021 per ounce of gold. The resulting after-tax cash flow is $403.2 million, for an after-tax NPV (5%) of $314.8 million and an estimated payback period of 1.9 years.
25.1.1 | Geotechnical Characterization |
At the date of this Technical Report, the access road improvements and materials required have been assumed to be in relative alignment with existing roads in the area, which needs to be verified in future studies. Costs in the FS assume average ground conditions and that no additional major engineering will be required. Surface geotechnical work is anticipated to be completed this summer as weather and permitting allows. Worse than assumed ground conditions may increase the cost of access road development.
25.1.2 | Pit Lake Geochemistry |
| ● | The ground water hydrology model is currently under development. At present no major risks were identified related to ground water considerations. |
| | |
| ● | At the date of this Technical Report, the pit lake geochemistry and ground water model are still under development. At present, the FS financials assumes that no water treatment is required for final pit lakes. Pit lake geochemistry and ground water modeling is currently in progress. Results of this work could indicate the need for water treatment and/or other closure requirements to meet state water standards. Water treatment of pit lakes may increase the closure cost of the project. |
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25.2 | Project Opportunities |
| 1. | Oxide mineral resources ($1,750 Au) are currently drilled to Inferred (Jasperoid Wash and POD) status, as are sulfide mineral resources in the North Bullion and POD deposits. These mineral resources are not included in the current mine plan and should be evaluated for impacts to the project and work required to bring forward. |
| | |
| 2. | Mine plans should undergo various iterations to |
| | |
| a. | Evaluate opportunity for utilizing surface exposed mineralization at Dark Star Main and Pinion for placement as crushed over-liner. |
| | |
| b. | Evaluate recently discovered mineralized gravels east of the Dark Star Main pit for potential inclusion in the mine design or utilization as heap leach gravel over-liner cover. |
| | |
| 3. | Pit designs should undergo various iterations to |
| | |
| a. | Investigate opportunities to utilize limestone material in the Pinion deposit for neutralization capacity of PAG material which may reduce waste rock storage facility construction. |
| | |
| b. | Investigate opportunities to utilize limestone sources for construction and construction cement requirements, as well as lime to be used for leaching. |
| | |
| 4. | Water disposal investigations should undergo iterations to |
| | |
| a. | Determine areas for possible land application and/or rapid infiltration basins which may reduce capital and operating costs for water treatment |
25.3 | Exploration and Mineral Resource Expansion |
Pinion remains open to exploration and expansion in all directions, particularly to the south where the most recent resources were extended, and to the north where the near-surface LT target has yet to be modeled. These areas require additional drilling to define the economic edges to mineralization. At Dark Star, the known mineralization is well-defined within the limits of the current resources, however, there is potential at depth on the West fault, and beneath colluvial cover along strike to the north. Additionally, Jasperoid Wash is open along strike and mineral resources can potentially be increased with expansion drilling. Jasperoid Wash and the deposits at North Bullion contain oxide and sulfide mineral resources at $1,750 gold price. The mineralization at Jasperoid Wash, and the POD, Sweet Hollow and South Lodes deposits at North Bullion have the potential to be mined via open pits, whereas the sulfide mineralization at the North Bullion deposit could be exploited in a combination open pit and underground scenario. Current classification of mineral resources as Inferred prevent the material from these deposits from consideration within the FS and mineral reserves. Mineral resources that are not mineral reserves do not have demonstrated economic viability.
Gold Standard’s Railroad-Pinion property is centered on another window of the Carlin trend. The property has all the promising geologic characteristics of other productive districts of the Carlin trend, including carbonate host rocks, older thrust faults and folds, younger extensional faults and an Eocene (Carlin age) magmato-thermal event. Deposits at Railroad-Pinion are hosted both in collapse breccia developed along the Devonian Devils Gate limestone/Mississippian Tripon Pass micrite contact and within highly permeable Pennsylvanian-Permian carbonate units. These units are common hosts for Carlin-type gold deposits throughout north-central Nevada. The structural setting with north-, northeast- and northwest-striking Tertiary extensional faults overprinted on earlier compressional structures is a classic Carlin framework. There are numerous un-drilled and under-drilled targets along prospective structural corridors.
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SECTION 26 TABLE OF CONTENTS
SECTION | PAGE |
26 | RECOMMENDATIONS | 26-1 |
| 26.1 | Preliminary Exploration | 26-1 |
| 26.2 | Exploration and Expansion Drilling | 26-1 |
| 26.3 | Permitting | 26-1 |
| 26.4 | Detailed Design Engineering | 26-1 |
| 26.5 | Total Cost of Recommended Study Program | 26-2 |
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Based on the results of the feasibility work the authors believe that the Railroad-Pinion property is a project of merit and warrants the proposed program and level of expenditures outlined below, focused on the gold deposits in the South Railroad portion of the property.
The total cost of recommendations is expected to reach $8 million for a multi-faceted program including exploration, permitting and engineering. The subsection describes the recommended efforts.
26.1 | Preliminary Exploration |
The Railroad-Pinion property is large, and merits continued exploration outside of the immediate Dark Star and Pinion deposit areas. Recommended exploration includes mapping and sampling within under-explored portions of the property. Exploration would include mapping, sampling, and 2D seismic to help define faults.
26.2 | Exploration and Expansion Drilling |
Pinion mineralization remains open to the south and southeast, and additional exploration and expansion drilling is merited to determine the ultimate footprint of this deposit. Additional RC drilling is recommended. The total for this task is $1.5 million.
North Bullion sulfide mineralization remains open to the northwest, and additional exploration and expansion drilling is merited to determine the size of this deposit. Additional RC drilling is recommended. The total for this task is $1.0 million.
It is recommended that Gold Standard continue the NEPA / EIS permitting activities in support of open-pit mining at Dark Star and Pinion. The cost is estimated at $2.0 million.
26.4 | Detailed Design Engineering |
It is recommended that Gold Standard continue the detailed design activities in support of a potential construction decision for the project. The cost is estimated at $3.6 million
| 1. | Detailed Design Engineering Studies to Potential Construction Decision |
| b. | Containment Designs to Support Water Pollution Control Permit |
| c. | Potable Water System Detailed Design |
| d. | Water Treatment System Detailed Design |
| e. | Geotechnical Survey of Initial Facility Foundations (Continued) |
| f. | Hydrology Field Pilot Study for Dark Star North Dewatering |
| g. | Water Management System Detailed Design |
| h. | M3 Major Facilities/Infrastructure Detailed Design |
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26.5 | Total Cost of Recommended Study Program |
Table 26-1 is a summary of the costs of the recommended work to advance the project to a construction decision.
Table 26-1: Cost Estimate for the Recommended Study Program
Preliminary Exploration | Cost | Sub-total |
Mapping and Sampling | $50,000 | |
Seismic | $450,000 | $500,000 |
Expansion Drilling | | |
Pinion | $1,500,000 | |
North Bullion | $1,000,000 | $2,500,000 |
Permitting | | $2,000,000 |
Detailed Design | | $3,600,000 |
| | |
Grand Total (rounded to x,000s) | | $8,000,000 |
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APPENDIX A – FEASIBILITY STUDY CONTRIBUTORS AND PROFESSIONAL QUALIFICATIONS –
CERTIFICATES OF QUALIFIED PERSONS
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CERTIFICATE OF QUALIFIED PERSON
Matthew Sletten
I, Matthew Sletten, PE, do hereby certify that:
1. | I am a Project Manager of: |
M3 Engineering & Technology Corp.
2175 W. Pecos Rd. Suite 3
Chandler, AZ 85224
2. | I graduated with a BS in Civil Engineering and an MS in Civil Engineering from the South Dakota School of Mines and Technology in 2004 and 2006, respectively. |
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3. | I am a Professional Engineer in good standing in the State of Arizona in the area of Civil Engineering. |
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4. | I have worked as an engineer and project manager in the base metals and precious metals industry for a total of 15 years. My experience includes detailed engineering, engineering management, project management, corporate management, capital and operating cost development and report development for major mining projects throughout the world. |
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5. | I have read the definition of “qualified person” set out in National Instrument 43-101 Standards of Disclosure for Mineral Projects (“NI 43-101”) and certify that by reason of my education, affiliation with a professional association (as defined in NI 43-101) and past relevant work experience, I fulfill the requirements to be a “qualified person” for the purposes of NI 43-101. |
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6. | I am a contributing author for the preparation of the technical report titled “South Railroad Project NI 43-101F1 Technical Report, Feasibility Study, Elko, Nevada, USA” dated March 14, 2022, with an effective date of February 23, 2022 (the “Technical Report”), prepared for Gold Standard Ventures Corp. I am responsible for the preparation of Sections 1.1, 1.10, 1.13, 1.14, 1.15, 4, 5, 18.1, 18.2, 18.3, 18.4, 18.5, 18.8, 19, 21 except (21.1 and 21.4), 22, 23, 24, 25, and 26. I have not visited the project site. |
| |
7. | I have prior involvement with the project or property that is the subject of the Technical Report. I was involved in the preparation of the South Railroad Project NI 43-101 Technical Report, Preliminary Feasibility Study, Carlin Trend, Nevada, USA, dated October 24, 2019, with an effective date of September 9, 2019. |
| |
8. | As at the effective date of the Technical Report, to the best of my knowledge, information and belief, the Technical Report contains all scientific and technical information that is required to be disclosed to make the Technical Report not misleading. |
| |
9. | I am independent of the issuer applying all the tests in Section 1.5 of NI 43-101. |
| |
10. | I have read NI 43-101 and Form 43-101F1, and the Technical Report has been prepared in compliance with that instrument and form. |
| |
11. | I consent to the filing of the Technical Report with any stock exchange and other regulatory authority and any publication by them, including electronic publication in the public company files on their websites accessible by the public, of the Technical Report. |
Signed and dated this 14th day of March 2022. |
| |
(Signed) “Matthew Sletten” | |
Signature of Qualified Person | |
| |
Matthew Sletten, PE | |
CERTIFICATE OF QUALIFIED PERSON
Benjamin Bermudez
I, Benjamin Bermudez, PE, do hereby certify that:
| 1. | I am currently employed as a Chemical/Process Engineer at M3 Engineering & Technology Corporation, 2051 W Sunset Rd, Suite 101, Tucson, AZ 85704, USA. |
| 2. | I am a graduate of Arizona State University and received a Bachelor of Science degree in Chemical Engineering in 2009. |
| 3. | I am a Registered Professional Engineer in good standing in the State of Arizona in the area of Chemical Engineering (No. 54919). |
| 4. | I have worked as an engineer for a total of 13 years. My experience includes mineral process plant engineering, support of new and on-going process plant operations, financial modeling of mineral properties, and project management. |
| 5. | I have read the definition of “qualified person” set out in National Instrument 43-101 Standards of Disclosure for Mineral Projects (“NI 43-101”) and certify that by reason of my education, affiliation with a professional association (as defined in NI 43-101) and past relevant work experience, I fulfill the requirements to be a “qualified person” for the purposes of NI 43-101. |
| 6. | I am contributing author for the preparation of the technical report titled “South Railroad Project 43-101F1 Technical Report Feasibility Study”, Elko, Nevada, USA” dated March 14, 2022, with an effective date of February 23, 2022 (the “Technical Report”), prepared for Gold Standard Ventures Corp. I am responsible for the preparation of Sections 1.7 and 17. I have not visited the project site. |
| 7. | I have prior involvement with the project or property that is the subject of the Technical Report. I was involved in the preparation of the South Railroad Project NI 43-101 Technical Report, Preliminary Feasibility Study, Carlin Trend, Nevada, USA, dated October 24, 2019, with an effective date of September 9, 2019, and South Railroad Project NI 43-101 Technical Report, Updated Preliminary Feasibility Study, Elko, Nevada, USA, dated March 23, 2020, with an effective date of Februay 13, 2020. |
| 8. | As of the effective date of the Technical Report, to the best of my knowledge, information and belief, the Technical Report contains all scientific and technical information that is required to be disclosed to make the Technical Report not misleading. |
| 9. | I am independent of the issuer applying all of the tests in Section 1.5 of NI 43-101. |
| 10. | I have read NI 43-101 and Form 43-101F1, and the Technical Report has been prepared in compliance with that instrument and form. |
| 11. | I consent to the filing of the Technical Report with any stock exchange and other regulatory authority and any publication by them, including electronic publication in the public company files on their websites accessible by the public, of the Technical Report. |
Signed and dated this 14th day of March 2022.
(Signed) “Benjamin Bermudez” | |
Signature of Qualified Person | |
| |
Benjamin Bermudez, PE | |
CERTIFICATE OF QUALIFIED PERSON
Art S. Ibrado
I, Art S. Ibrado, PhD, PE, do hereby certify that:
| 1. | I am a consulting metallurgical engineer of Fort Lowell Consulting PLLC, 5411 E Francisco Loop, Tucson, AZ 85712, USA. |
| 2. | I hold the following academic degrees: |
Bachelor of Science in Metallurgical Engineering, University of the Philippines, 1980
Master of Science (Metallurgy), University of California at Berkeley, 1986
Doctor of Philosophy (Metallurgy), University of California at Berkeley, 1993
| 3. | I am a registered professional engineer in the State of Arizona (No. 58140). |
| 4. | I have worked as a metallurgist in the academic and research setting for five years, excluding graduate school research, in the mining industry for 13 years, in engineering at M3 Engineering Corp for 12 years, and as independent consultant since August 2021. |
| 5. | I have read the definition of “qualified person” set out in National Instrument 43-101 Standards of Disclosure for Mineral Projects (“NI 43-101”) and certify that by reason of my education, affiliation with a professional association (as defined in NI 43-101) and past relevant work experience, I fulfill the requirements to be a “qualified person” for the purposes of NI 43-101. |
| 6. | I am a contributing author for the preparation of the technical report titled “South Railroad Project NI 43-101F1 Technical Report, Feasibility Study, Elko, Nevada, USA” dated March 14, 2022, with an effective date of February 23, 2022 (the “Technical Report”), prepared for Gold Standard Ventures Corp. I am responsible for the preparation of Sections 2, 3, and 27. I visited the project site on September 25, 2019, for a period of one day. |
| 7. | I have prior involvement with the project or property that is the subject of the Technical Report. I was involved in the preparation of South Railroad Project NI 43-101 Technical Report, Preliminary Feasibility Study, Carlin Trend, Nevada, USA, dated October 24, 2019, with an effective date of September 9, 2019, and South Railroad Project NI 43-101 Technical Report, Updated Preliminary Feasibility Study, Elko, Nevada, USA, dated March 23, 2020, with an effective date of Februay 13, 2020. |
| 8. | As at the effective date of the Technical Report, to the best of my knowledge, information and belief, the Technical Report contains all scientific and technical information that is required to be disclosed to make the Technical Report not misleading. |
| 9. | I am independent of the issuer applying all of the tests in Section 1.5 of NI 43-101. |
| 10. | I have read NI 43-101 and Form 43-101F1, and the Technical Report has been prepared in compliance with that instrument and form. |
| 11. | I consent to the filing of the Technical Report with any stock exchange and other regulatory authority and any publication by them, including electronic publication in the public company files on their websites accessible by the public, of the Technical Report. |
Signed and dated this 14th day of March 2020.
(Signed) “Art S. Ibrado” | |
Signature of Qualified Person | |
| |
Art S. Ibrado, PE | |
Print Name of Qualified Person | |
CERTIFICATE OF QUALIFIED PERSON
Michael S. Lindholm, C.P.G.
I, Michael S. Lindholm, C.P.G., do hereby certify that:
1. | I am a Senior Geologist of Mine Development Associates, Inc. (a Division of RESPEC), 210 South Rock Blvd., Reno, Nevada, 89502. |
2. | I graduated with a Bachelor of Science degree in Geology from Stephen F. Austin State University in 1984 and with a Master of Science degree in Geology from Northern Arizona University in 1989. |
3. | I am a Certified Professional Geologist (#11477) in good standing with the American Institute of Professional Geologists. I am also registered as Professional Geologist in the state of California (#8152). |
4. | I have worked as geologist for 33 years. I have conducted exploration, definition, modeling, and estimation of sediment-hosted epithermal gold-silver deposits in the Western US. |
5. | I have read the definition of “qualified person” set out in National Instrument 43-101 Standards of Disclosure for Mineral Projects (“NI 43-101”) and certify that by reason of my education, affiliation with a professional association (as defined in NI 43-101) and past relevant work experience, I fulfill the requirements to be a “qualified person” for the purposes of NI 43-101. |
6. | I am a contributing author for the preparation of the technical report titled “South Railroad Project NI 43-101F Technical Report, Feasibility Study, Elko, Nevada, USA”, dated March 14, 2022, with an effective date of February 23, 2022 (the “Technical Report”), prepared for Gold Standard Ventures Corp. I am responsible for the preparation of Sections 1.3, 1.4, 1.5, 1.8.1, 6, 7, 8, 9, 10, 11, 12, and 14. I have visited the project site for a period of one day each on September 19, 2018 and July 16, 2020. |
7. | I have prior involvement with the project or property that is the subject of the Technical Report. I was involved in the preparation of the South Railroad Project NI 43-101F1 Technical Report, Updated Preliminary Feasibility Study, Elko County, Nevada, USA, dated March 23, 2020, with an effective date of February 13, 2020. |
8. | As at the effective date of the Technical Report, to the best of my knowledge, information and belief, the Technical Report contains all scientific and technical information that is required to be disclosed to make the Technical Report not misleading. |
9. | I am independent of the issuer applying all of the tests in Section 1.5 of NI 43-101. |
10. | I have read NI 43-101 and Form 43-101F1, and the Technical Report has been prepared in compliance with that instrument and form. |
11. | I consent to the filing of the Technical Report with any stock exchange and other regulatory authority and any publication by them, including electronic publication in the public company files on their websites accessible by the public, of the Technical Report. |
Signed and dated this 14th day of March 2022.
(Signed) “Michael S. Lindholm” | |
Signature of Qualified Person | |
| |
Michael S. Lindholm | |
CERTIFICATE OF QUALIFIED PERSON
Thomas L. Dyer, PE
I, Thomas L. Dyer, PE, do hereby certify that:
1. | I am a Principal Engineer of Mine Development Associates, Inc. (a Division of RESPEC), 210 South Rock Blvd., Reno, Nevada, 89502. |
2. | I graduated with a Bachelor of Science degree in Mine Engineering from South Dakota School of Mines and Technology in 1996. |
3. | I am a Registered Professional Engineer in the state of Nevada (#15729) and a Registered Member (#4029995RM) of the Society of Mining, Metallurgy and Exploration. |
4. | I have worked as a mining engineer for more than 25 years. Relevant experience includes mine design, reserve estimation and economic analysis of precious-metals deposits in the United States and various countries in the world. I worked as Chief Engineer of an operating heap leach and mill gold mine in Nevada. |
5. | I have read the definition of “qualified person” set out in National Instrument 43-101 Standards of Disclosure for Mineral Projects (“NI 43-101”) and certify that by reason of my education, affiliation with a professional association (as defined in NI 43-101) and past relevant work experience, I fulfill the requirements to be a “qualified person” for the purposes of NI 43-101. |
| 6. | I am a contributing author for the preparation of the technical report titled “South Railroad Project NI 43-101F1 Technical Report, Feasibility Study, Elko, Nevada, USA”, dated March 14, 2022, with an effective date of February 23, 2022 (the “Technical Report”), prepared for Gold Standard Ventures Corp. I am responsible for the preparation of Sections 1.8, 1.9, 15, 16, 21.1, and 21.4. I visited the project site on November 18, 2016 for a period of two days. |
| 7. | I have prior involvement with the project or property that is the subject of the Technical Report. I was involved in the preparation of the South Railroad Project NI 43-101 Technical Report, Preliminary Feasibility Study, Carlin Trend, Nevada, USA, dated October 24, 2019, with an effective date of September 9, 2019. Through Mine Development Associates Inc., I have completed internal mining and economic studies for Gold Standard Ventures Corp. since 2016. |
| 8. | As at the effective date of the Technical Report, to the best of my knowledge, information and belief, the Technical Report contains all scientific and technical information that is required to be disclosed to make the Technical Report not misleading. |
| 9. | I am independent of the issuer applying all of the tests in Section 1.5 of NI 43-101. |
| 10. | I have read NI 43-101 and Form 43-101F1, and the Technical Report has been prepared in compliance with that instrument and form. |
| 11. | I consent to the filing of the Technical Report with any stock exchange and other regulatory authority and any publication by them, including electronic publication in the public company files on their websites accessible by the public, of the Technical Report. |
Signed and dated this 14th of March, 2022.
(Signed) “Thomas L. Dyer” | |
Signature of Qualified Person | |
| |
Thomas L. Dyer, PE | |
Print Name of Qualified Person | |
CERTIFICATE OF QUALIFIED PERSON
Jordan M. Anderson
I, Jordan M. Anderson, Qualified Professional (QP), do hereby certify that:
| 1. | I am a consulting mining engineer of RESPEC, 210 S. Rock Blvd. Reno, NV, 89502 |
| 2. | I hold the following academic degrees: |
Bachelor of Science in Mine Engineering, South Dakota School of Mines, 2009
Master of Business Administration, University of South Dakota, 2019
| 3. | I am a registered member of the Society for Mining, Metallurgy and Exploration (No 4148636) |
| 4. | I have worked as a mine engineer for 12 years. Relevant experience in mine design, reserve estimation, and economic analysis of precious-metals deposits. I worked as Engineering Superintendent for an operating heap leach and mill gold mine in Nevada. |
| 5. | I have read the definition of “qualified person” set out in National Instrument 43-101 Standards of Disclosure for Mineral Projects (“NI 43-101”) and certify that by reason of my education, affiliation with a professional association (as defined in NI 43-101) and past relevant work experience, I fulfill the requirements to be a “qualified person” for the purposes of NI 43-101. |
| 6. | I am a contributing author for the preparation of the technical report titled “South Railroad Project NI 43-101F1 Technical Report, Feasibility Study, Elko, Nevada, USA” dated March 14, 2022, with an effective date of February 23, 2022 (the “Technical Report”), prepared for Gold Standard Ventures Corp. I am responsible for the preparation of Section 1.8, 1.9, 15, 16, 21.1 and 21.4. I visited the project site on February 23 2022, for a period of one day. |
| 7. | I have had no prior involvement with the project or property that is the subject of the Technical Report. |
| 8. | As at the effective date of the Technical Report, to the best of my knowledge, information and belief, the Technical Report contains all scientific and technical information that is required to be disclosed to make the Technical Report not misleading. |
| 9. | I am independent of the issuer applying all of the tests in Section 1.5 of NI 43-101. |
| 10. | I have read NI 43-101 and Form 43-101F1, and the Technical Report has been prepared in compliance with that instrument and form. |
| 11. | I consent to the filing of the Technical Report with any stock exchange and other regulatory authority and any publication by them, including electronic publication in the public company files on their websites accessible by the public, of the Technical Report. |
Signed and dated this 14th day of March 2022.
(Signed) “Jordan M. Anderson” | |
Signature of Qualified Person | |
| |
Jordan M. Anderson | |
Print Name of Qualified Person | |
CERTIFICATE OF QUALIFIED PERSON
Gary L. Simmons
I, Gary L Simmons, Qualified Professional (QP), do hereby certify that:
| 1. | I am the Principal Owner of: |
GL Simmons Consulting, LLC
15293 Shadow Mountain Ranch Road
Larkspur, CO 80118
| 2. | I graduated with a Bachelor of Science Degree in Metallurgical Engineering from the Colorado School of Mines, Golden, Colorado, USA, in 1973. |
| 3. | I am a Professional Metallurgical Engineer, registered with the Mining and Metallurgical Society of America, Qualified Professional (QP) Member in Metallurgy, Member Number – 01013QP, in good standing in the USA. |
| 4. | I have practiced in my profession since 1973. My relevant experience includes mine site and corporate level process development, project engineering, operations supervision and as a mineral processing project development consultant, in the base metals and gold/silver mining business, for a total of 46 years. |
| 5. | I have read the definition of “qualified person” set out in National Instrument 43-101 Standards of Disclosure for Mineral Projects (“NI 43-101”) and certify that by reason of my education, affiliation with a professional association (as defined in NI 43-101) and past relevant work experience, I fulfill the requirements to be a “qualified person” for the purposes of NI 43-101. |
| 6. | I am a contributing author for the preparation of the technical report titled “South Railroad Project NI 43-101F1 Technical Report, Feasibility Study, Elko, Nevada, USA” dated March 14, 2022, with an effective date of February 23, 2022 (the “Technical Report”), prepared for Gold Standard Ventures Corp. I am a contributing author for Sections 1.6 and 13. I have visited the project site on October 9, 2020 for period of one day. |
| 7. | I have been involved with this project since 2016 as a metallurgical consultant and have authored internal reports and have been a contributing qualified person for press releases and regulatory filings relating to metallurgy. I was involved in the preparation of the South Railroad Project NI 43-101 Technical Report, Preliminary Feasibility Study, Carlin Trend, Nevada, USA, dated October 24, 2019, with an effective date of September 9, 2019. |
| 8. | As at the effective date of the Technical Report, to the best of my knowledge, information and belief, the Technical Report contains all scientific and technical information that is required to be disclosed to make the Technical Report not misleading. |
| 9. | I am independent of the issuer applying all of the tests in Section 1.5 of NI 43-101. |
| 10. | I have read NI 43-101 and Form 43-101F1, and the Technical Report has been prepared in compliance with that instrument and form. |
| 11. | I consent to the filing of the Technical Report with any stock exchange and other regulatory authority and any publication by them, including electronic publication in the public company files on their websites accessible by the public, of the Technical Report. |
Signed and dated this 14th of March 2022.
(Signed) “Gary L. Simmons” | |
Signature of Qualified Person | |
| |
Gary L. Simmons | |
Print Name of Qualified Person | |
CERTIFICATE OF QUALIFIED PERSON
Richard DeLong
I, Richard DeLong, M.S., P.G., MMSA QP, do hereby certify that:
| 1. | I a Senior Vice President of: |
EM Strategies, a WestLand Resources, Inc. COmpany
1650 Meadow Wood Lane, Reno, Nevada 89502
| 2. | I graduated with a Masters Degree in Geology and a Masters Degree in Resource Management from the University of Idaho. |
| 3. | I am a Professional Geologist in good standing in the State of Idaho in the area of Geology (No. 727). I am also recognized as a Qualified Person Member with special expertise in Environmental Permitting and Compliance with the Mining and Metallurgical Society of America (No. 01471QP). |
| 4. | I have worked as an environmental permitting and compliance specialist for a total of 34 years. My experience includes permit acquisition of sate and federal permits and baseline data acquisition programs for mining and exploration operations. |
| 5. | I have read the definition of “qualified person” set out in National Instrument 43-101 Standards of Disclosure for Mineral Projects (“NI 43-101”) and certify that by reason of my education, affiliation with a professional association (as defined in NI 43-101) and past relevant work experience, I fulfill the requirements to be a “qualified person” for the purposes of NI 43-101. |
| 6. | I am a contributing author for the preparation of the technical report titled “South Railroad Project NI 43-101F1 Technical Report, Feasibility Study, Elko, Nevada, USA” dated March 14, 2022, with an effective date of February 23, 2022 (the “Technical Report”), prepared for Gold Standard Ventures Corp. I am responsible for the preparation of Sections 1.2, 1.11, 1.12, and 20. I have not visited the project site. |
| 7. | I have prior involvement with the project or property that is the subject of the Technical Report. My involvement with the property is the ongoing work associated with environmental baseline data collection and the acquisition of the necessary state and federal permits for the development of the mining operation. I was involved in the preparation of the South Railroad Project NI 43-101 Technical Report, Preliminary Feasibility Study, Carlin Trend, Nevada, USA, dated October 24, 2019, with an effective date of September 9, 2019. |
| 8. | As at the effective date of the Technical Report, to the best of my knowledge, information and belief, the Technical Report contains all scientific and technical information that is required to be disclosed to make the Technical Report not misleading. |
| 9. | I am independent of the issuer applying all of the tests in Section 1.5 of NI 43-101. |
| 10. | I have read NI 43-101 and Form 43-101F1, and the Technical Report has been prepared in compliance with that instrument and form. |
| 11. | I consent to the filing of the Technical Report with any stock exchange and other regulatory authority and any publication by them, including electronic publication in the public company files on their websites accessible by the public, of the Technical Report. |
Signed and dated this 14th of March 2022.
(Signed) “Richard DeLong” | |
Signature of Qualified Person | |
| |
Richard DeLong | |
Print Name of Qualified Person | |
CERTIFICATE OF QUALIFIED PERSON
Kevin Lutes
I, Kevin Lutes PE, do hereby certify that:
| 1. | I am employted as a Principal Engineer with NewFields Mining Design & Technical Servicies, with an office address of 2227 North 5th Street, Elko, Nevada, 89801, USA |
| 2. | I hold the following academic degrees: Bachelor of Science in Civil Engineering, 1997 |
| 3. | I am a registered professional engineer in the States of Nevada (16021), Idaho (13997), and Alaska (12560) |
| 4. | I have worked as a civil engineer for the past 25 years with a focus on mining projects, including heap leach pads, tailings storage facilities, and mine waste facilities. |
| 5. | I have read the definition of “qualified person” set out in National Instrument 43-101 Standards of Disclosure for Mineral Projects (“NI 43-101”) and certify that by reason of my education, affiliation with a professional association (as defined in NI 43-101) and past relevant work experience, I fulfill the requirements to be a “qualified person” for the purposes of NI 43-101. |
| 6. | I am a contributing author for the preparation of the technical report titled “South Railroad Project NI 43-101F1 Technical Report, Feasibility Study, Elko, Nevada, USA” dated March 14, 2022, with an effective date of February 23, 2022 (the “Technical Report”), prepared for Gold Standard Ventures Corp. I am responsible for the preparation of Section 18.6 and 18.7. I have visited the project site on multiple occasions in 2021 and most recently in February of 2021. |
| 7. | As at the effective date of the Technical Report, to the best of my knowledge, information and belief, the Technical Report contains all scientific and technical information that is required to be disclosed to make the Technical Report not misleading. |
| 8. | I am independent of the issuer applying all of the tests in Section 1.5 of NI 43-101. |
| 9. | I have read NI 43-101 and Form 43-101F1, and the Technical Report has been prepared in compliance with that instrument and form. |
| 10. | I consent to the filing of the Technical Report with any stock exchange and other regulatory authority and any publication by them, including electronic publication in the public company files on their websites accessible by the public, of the Technical Report. |
Signed and dated this 14th of March 2022.
Signature of Qualified Person
Kevin Lutes, PE
Print Name of Qualified Person
South Railroad Project
Form 43-101F1 Technical Report – Feasibility Study
APPENDIX B – CLAIMS LIST
| M3-PN185074 14 March 2022 Revision 1 | B-1 |
Appendix B
Railroad-Pinion Property of Gold Standard Ventures
Listing of Patented and Unpatented Federal Lode Claims
Owned or Controlled by Gold Standard Ventures
Patented Claims Owned and Leased by Gold Standard Ventures
Elko County, Nevada
Patent Name | MS ID | Assessed Owner | Controlled By | Property |
Bald Eagle | 4592 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Blue Jay | 4592 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Bullion | 1487 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Cleveland | 1498 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Grey Eagle | 4592 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Hecla | 1491 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Hoffman | 1500 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Kansas City | 4592 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Lucky Boy | 4592 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Mounted Ledge | 1499 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Safety Pin | 4592 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Silver King | 1492 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Sky Blue | 1495 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Standing Elk Lode | 1486 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Standing Elk MS | 1486 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Mill Site |
Tom Boy | 4592 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Tripoli | 1497 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Webfoot | 1488 | Gold Standard Ventures (US) | Gold Standard Ventures (US) | Lode |
Kenilworth | 4608 | Sylvania Resources LLC | Sylvania Lease | Lode |
Sylvania | 4608 | Sylvania Resources LLC | Sylvania Lease | Lode |
Valley View | 4608 | Sylvania Resources LLC | Sylvania Lease | Lode |
Victor Fraction | 4608 | Sylvania Resources LLC | Sylvania Lease | Lode |
Vindicator Fraction | 4608 | Sylvania Resources LLC | Sylvania Lease | Lode |
Wide West | 4608 | Sylvania Resources LLC | Sylvania Lease | Lode |
Bald Mountain Chief | 1489 | Victory Exploration - ANv | ANv Lease | Lode |
Copper Bell | 1490 | Victory Exploration - ANv | ANv Lease | Lode |
Sun Lode | 1494 | Sun Lode Company LLC | Sun Lode Lease | Lode |
Androsa | 3382 | Canadian American Mining Comp. L.L.C. | Gold Standard Ventures (US) | Lode |
Gladstone | 3365 | Canadian American Mining Comp. L.L.C. | Gold Standard Ventures (US) | Lode |
Gold Standard Ventures | Appendix C Page 2 of 43 |
Unpatented Lode Claims Owned by Gold Standard
Elko County, Nevada, Mount Diablo Base and Meridian
North Railroad Portion of the Property
County Claim Name | NMC # | Book/Page | Doc # | Amended |
B-1 | 138543 | 313/159 | 131352 | |
B-2 | 138544 | 313/160 | 131353 | |
B-3 | 138545 | 313/161 | 131354 | |
B-4 | 138546 | 313/162 | 131355 | |
B-5 | 138547 | 313/163 | 131356 | |
BARDY | 75877 | 98/350 | 38115 | |
BLACK | 75973 | 45/154 | 15175 | |
BLUE | 75974 | 45/159 | 15180 | |
BURKE FRACTION | 75975 | 8/300 | n/a | 21/94 |
CANARY | 75976 | 39/366 | 5371 | |
CISS 1 | 407849 | 560/304 | 228452 | |
CISS 2 | 407850 | 560/305 | 228453 | |
CISS 3 | 407851 | 560/306 | 228454 | |
CISS 4 | 407852 | 560/307 | 228455 | |
CISS 5 | 407853 | 560/308 | 228456 | |
CISS 6 | 407854 | 560/309 | 228457 | |
CISS 7 | 407855 | 560/310 | 228458 | |
CISS 8 | 407856 | 560/311 | 228459 | |
CISS 9 | 407857 | 560/312 | 228460 | |
CISS 10 | 407858 | 560/313 | 228461 | |
CISS 11 | 407859 | 560/314 | 228462 | |
CISS 12 | 407860 | 560/315 | 228463 | |
CISS 13 | 407861 | 560/316 | 228464 | |
CISS 14 | 407862 | 560/317 | 228465 | |
CISS 15 | 407863 | 560/318 | 228466 | |
CISS 16 | 407864 | 560/319 | 228467 | |
CISS 17 | 407865 | 560/320 | 228468 | |
CISS 18 | 407866 | 560/321 | 228469 | |
CISS 19 | 407867 | 560/322 | 228470 | |
CISS 20 | 407868 | 560/323 | 228471 | |
CISS 21 | 407869 | 560/324 | 228472 | |
CISS 22 | 407870 | 560/325 | 228473 | |
CISS 23 | 407871 | 560/326 | 228474 | |
CISS 24 | 407872 | 560/327 | 228475 | |
CISS 25 | 407873 | 560/328 | 228476 | |
CISS 26 | 407874 | 560/329 | 228477 | |
CISS 27 | 407875 | 560/330 | 228478 | |
CISS 28 | 407876 | 560/331 | 228479 | |
CISS 29 | 407877 | 560/332 | 228480 | |
CISS 30 | 407878 | 560/333 | 228481 | |
CISS 31 | 407879 | 560/334 | 228482 | |
CISS 32 | 407880 | 560/335 | 228483 | |
Gold Standard Ventures | Appendix C Page 3 of 43 |
County Claim Name | NMC # | Book/Page | Doc # | Amended |
CISS 33 | 407881 | 560/336 | 228484 | |
CISS 34 | 407882 | 560/337 | 228485 | |
CISS 35 | 407883 | 560/338 | 228486 | |
CISS 36 | 407884 | 560/339 | 228487 | |
CISS 106 | 407954 | 560/409 | 228557 | |
CISS 107 | 407955 | 560/410 | 228558 | |
CISS 108 | 407956 | 560/411 | 228559 | |
CISS 109 | 407957 | 560/412 | 228560 | |
CISS 110 | 407958 | 560/413 | 228561 | |
CISS 111 | 407959 | 560/414 | 228562 | |
CISS 112 | 407960 | 560/415 | 228563 | |
CISS 113 | 407961 | 560/416 | 228564 | |
CISS 114 | 407962 | 560/417 | 228565 | |
CISS 115 | 407963 | 560/418 | 228566 | |
CISS 116 | 407964 | 560/419 | 228567 | |
CISS 117 | 407965 | 560/420 | 228568 | |
CISS 118 | 407966 | 560/421 | 228569 | |
CISS 119 | 407967 | 560/422 | 228570 | |
CISS 124 | 407968 | 560/423 | 228571 | |
CISS 125 | 407969 | 560/424 | 228572 | |
CISS 126 | 407970 | 560/425 | 228573 | |
CISS 127 | 407971 | 560/426 | 228574 | |
CISS 128 | 407972 | 560/427 | 228575 | |
CISS 129 | 407973 | 560/428 | 228576 | |
CISS 130 | 407974 | 560/429 | 228577 | |
CISS 131 | 407975 | 560/430 | 228578 | |
CISS 132 | 407976 | 560/431 | 228579 | |
CISS 133 | 407977 | 560/432 | 228580 | |
CISS 134 | 407978 | 560/433 | 228581 | |
CISS 135 | 407979 | 560/434 | 228582 | |
CISS 136 | 407980 | 560/435 | 228583 | |
CISS 137 | 407981 | 560/436 | 228584 | |
DIKE NO. 1 | 75977 | 21/534 | 44926 | |
DIKE NO. 2 | 75978 | 21/535 | 44927 | |
DIKE NO. 3 | 75979 | 21/535 | 44928 | |
DIKE NO. 4 | 75980 | 21/536 | 44929 | |
DIKE NO. 6 | 75981 | 21/536 | 44930 | |
DIKE NO. 7 | 75982 | 21/537 | 44931 | |
DIKE NO. 8 | 75983 | 21/537 | 44932 | |
DIKE NO. 9 | 75984 | 21/538 | 44933 | |
DIKE NO. 11 | 75985 | 21/538 | 44934 | |
Gold Standard Ventures | Appendix C Page 4 of 43 |
County Claim Name | NMC # | Book/Page | Doc # | Amended |
EAGLE | 75986 | Jul-86 | n/a | 7/596 |
GOLD | 75987 | 45/161 | 15182 | |
GREEN | 75988 | 45/160 | 15181 | |
HANNAH | 75880 | 98/353 | 38118 | |
HOFFMAN FRACTION | 75989 | 7/598 | n/a | 17/101 |
HOLD UP | 75990 | 17/5 | 8002 | |
HOME 1 | 164143 | 326/659 | 136567 | |
HOME 2 | 164144 | 326/660 | 136568 | |
HOME 3 | 164145 | 326/661 | 136569 | |
HOME 4 | 164146 | 326/662 | 136570 | |
HOME 5 | 164147 | 326/663 | 136571 | |
HOME 6 | 164148 | 326/664 | 136572 | |
HOME 7 | 164149 | 326/665 | 136573 | |
HOME 8 | 164150 | 326/666 | 136574 | |
HOME 9 | 164151 | 326/667 | 136575 | |
HOME 10 | 164152 | 326/668 | 136576 | |
HOME 11 | 164153 | 326/669 | 136577 | |
HOME 12 | 164154 | 326/670 | 136578 | |
HOME 13 | 164155 | 326/671 | 136579 | |
HOME 14 | 164156 | 326/672 | 136580 | |
HOME 15 | 164157 | 326/673 | 136581 | |
HOME 16 | 164158 | 326/674 | 136582 | |
HOME 17 | 164159 | 326/675 | 136583 | |
HOME 18 | 164160 | 326/676 | 136584 | |
HOME 19 | 190211 | 350/307 | 146804 | |
HOME 20 | 190212 | 350/308 | 146805 | |
HOME 21 | 190213 | 350/309 | 146806 | |
HOME 22 | 190214 | 350/310 | 146807 | |
HOME 23 | 190215 | 350/311 | 146808 | |
HOME 24 | 190216 | 350/312 | 146809 | |
HOME 25 | 190217 | 350/313 | 146810 | |
HOME 26 | 190218 | 350/314 | 146811 | |
HOME 27 | 190219 | 350/315 | 146812 | |
HOME 28 | 190220 | 350/316 | 146813 | |
HOME 29 | 190221 | 350/317 | 146814 | |
HOME 30 | 190222 | 350/318 | 146815 | |
HOME 31 | 190223 | 350/319 | 146816 | |
HOME 42 | 227247 | 378/289 | 158546 | |
HOME 43 | 227248 | 378/290 | 158547 | |
HOME 44 | 227249 | 378/291 | 158548 | |
Gold Standard Ventures | Appendix C Page 5 of 43 |
County Claim Name | NMC # | Book/Page | Doc # | Amended |
HOME 45 | 227250 | 378/292 | 158549 | |
HOME 46 | 227251 | 378/293 | 158550 | |
HOME 47 | 227252 | 378/294 | 158551 | |
HOME 48 | 227253 | 378/295 | 158552 | |
HOME 49 | 227254 | 378/296 | 158553 | |
HOME 50 | 227255 | 378/297 | 158554 | |
HOME 51 | 227256 | 378/298 | 158555 | |
HOME 52 | 227257 | 378/299 | 158556 | |
HOME STAKE | 75991 | 17/6 | 8003 | |
JKR 1 | 1025800 | | 627853 | |
JKR 2 | 1025801 | | 627854 | |
JKR 3 | 1025802 | | 627855 | |
JKR 4 | 1025803 | | 627856 | |
JKR 5 | 1025804 | | 627857 | |
JKR 6 | 1025805 | | 627858 | |
JKR 7 | 1025806 | | 627859 | |
JKR 8 | 1025807 | | 627860 | |
JKR 9 | 1025808 | | 627861 | |
JKR 10 | 1025809 | | 627862 | |
JKR 11 | 1025810 | | 627863 | |
JKR 12 | 1025811 | | 627864 | |
JKR 13 | 1025812 | | 627865 | |
JKR 14 | 1025813 | | 627866 | |
JKR 15 | 1025814 | | 627867 | |
JKR 16 | 1025815 | | 627868 | |
JKR 17 | 1025816 | | 627869 | |
JKR 18 | 1025817 | | 627870 | |
JKR 19 | 1025818 | | 627871 | |
JKR 20 | 1025819 | | 627872 | |
JKR 21 | 1025820 | | 627873 | |
JKR 22 | 1025821 | | 627874 | |
JKR 23 | 1025822 | | 627875 | |
JKR 24 | 1025823 | | 627876 | |
JKR 25 | 1025824 | | 627877 | |
JKR 26 | 1025825 | | 627878 | |
JMD 1 | 1013878 | | 620141 | |
JMD 2 | 1013879 | | 620142 | |
JMD 3 | 1013880 | | 620143 | |
JMD 4 | 1013881 | | 620144 | |
JMD 5 | 1013882 | | 620145 | |
JMD 6 | 1013883 | | 620146 | |
Gold Standard Ventures | Appendix C Page 6 of 43 |
County Claim Name | NMC # | Book/Page | Doc # | Amended |
JMD 7 | 1013884 | | 620147 | |
JMD 8 | 1013885 | | 620148 | |
JMD 9 | 1013886 | | 620149 | |
JMD 10 | 1013887 | | 620150 | |
JMD 11 | 1013888 | | 620151 | |
JMD 12 | 1013889 | | 620152 | |
JMD 13 | 1013890 | | 620153 | |
JOHN | 75876 | 98/349 | 38114 | |
KEN | 75881 | 98/356 | 38121 | |
KEY | 75992 | 8/377 | n/a | 20/694 |
LARK | 75993 | 7/603 | n/a | |
LAST CHANCE | 75994 | 20/413 | 35070 | |
LT 1 | 504170 | 629/422 | 257084 | |
LT 2 | 504171 | 629/423 | 257085 | |
LT 3 | 504172 | 629/424 | 257086 | |
LT 4 | 504173 | 629/425 | 257087 | |
LT 5 | 504174 | 629/426 | 257088 | |
LT 6 | 504175 | 629/427 | 257089 | |
LT 7 | 504176 | 629/428 | 257090 | |
LT 8 | 504177 | 629/429 | 257091 | |
LT 9 | 504178 | 629/430 | 257092 | |
LT 10 | 504179 | 629/431 | 257093 | |
LT 11 | 504180 | 629/432 | 257094 | |
LT 12 | 504181 | 629/433 | 257095 | |
LT 13 | 504182 | 629/434 | 257096 | |
LT 14 | 504183 | 629/435 | 257097 | |
LT 15 | 504184 | 629/436 | 257098 | |
LT 16 | 504185 | 629/437 | 257099 | |
LT 17 | 504186 | 629/438 | 257100 | |
LT 18 | 504187 | 629/439 | 257101 | |
LT 19 | 504188 | 629/440 | 257102 | |
LT 20 | 504189 | 629/441 | 257103 | |
LT 21 | 504190 | 629/442 | 257104 | |
LT 22 | 504191 | 629/443 | 257105 | |
LT 23 | 504192 | 629/444 | 257106 | |
LT 24 | 504193 | 629/445 | 257107 | |
LT 25 | 504194 | 629/446 | 257108 | |
LT 26 | 504195 | 629/447 | 257109 | |
LT 27 | 504196 | 629/448 | 257110 | |
MAGGIE | 75878 | 98/351 | 38116 | |
MAHOGANY | 75995 | 8/308 | n/a | 21/95 |
Gold Standard Ventures | Appendix C Page 7 of 43 |
County Claim Name | NMC # | Book/Page | Doc # | Amended |
MENDOTA | 75996 | 16/452 | 6593 | 17/102 |
MOON | 75997 | 45/156 | 15177 | |
MOON NO. 1 | 75998 | 45/157 | 15178 | |
MOON NO. 2 | 75999 | 45/158 | 15179 | |
NEVADA | 76000 | 7/85 | n/a | 7/597 |
NEW 56 | 202156 | 357/213 | 149637 | |
NEW 57 | 202157 | 357/214 | 149638 | |
NEW 58 | 202158 | 357/215 | 149639 | |
NEW 59 | 202159 | 357/216 | 149640 | |
NEW 60 | 202160 | 357/217 | 149641 | |
NEW 61 | 202161 | 357/218 | 149642 | |
NEW 62 | 202162 | 357/219 | 149643 | |
NEW 63 | 202163 | 357/220 | 149644 | |
NEW 65 | 202165 | 357/222 | 149646 | |
NEW 66 | 202166 | 357/223 | 149647 | |
NEW 67 | 202167 | 357/224 | 149648 | |
NEW 68 | 202168 | 357/225 | 149649 | |
NEW 69 | 202169 | 357/226 | 149650 | |
NEW 70 | 202170 | 357/227 | 149651 | |
NEW 71 | 202171 | 357/228 | 149652 | |
NEW 72 | 202172 | 357/229 | 149653 | |
NEW 135 | 227243 | 378/300 | 158558 | |
NEW 136 | 227244 | 378/301 | 158559 | |
NEW 137 | 227245 | 378/302 | 158560 | |
NEW 138 | 227246 | 378/303 | 158561 | |
OWL | 76001 | 7/604 | n/a | |
PAM | 75883 | 98/354 | 38119 | |
PETER | 75882 | 98/355 | 38120 | |
PIN 1 | 698494 | 854/764 | 352404 | |
PIN 2 | 698495 | 854/765 | 352405 | |
PIN 3 | 698496 | 854/766 | 352406 | |
PIN 4 | 698497 | 854/767 | 352407 | |
PIN 5 | 698498 | 854/768 | 352408 | |
PIN 6 | 698499 | 854/769 | 352409 | |
PIN 7 | 698500 | 854/770 | 352410 | |
PIN 8 | 698501 | 854/771 | 352411 | |
PIN 9 | 698502 | 854/772 | 352412 | |
PIN 10 | 698503 | 854/773 | 352413 | |
PIN 11 | 698504 | 854/774 | 352414 | |
PIN 12 | 698505 | 854/775 | 352415 | |
PINE 1 | 407779 | 560/234 | 228381 | |
Gold Standard Ventures | Appendix C Page 8 of 43 |
County Claim Name | NMC # | Book/Page | Doc # | Amended |
PINE 2 | 407780 | 560/235 | 228382 | |
PINE 3 | 407781 | 560/236 | 228383 | |
PINE 4 | 407782 | 560/237 | 228384 | |
PINE 5 | 407783 | 560/238 | 228385 | |
PINE 6 | 407784 | 560/239 | 228386 | |
PINE 7 | 407785 | 560/240 | 228387 | |
PINE 8 | 407786 | 560/241 | 228388 | |
PINE 9 | 407787 | 560/242 | 228389 | |
PINE 10 | 407788 | 560/243 | 228390 | |
PINE 11 | 407789 | 560/244 | 228391 | |
PINE 12 | 407790 | 560/245 | 228392 | |
PINE 13 | 407791 | 560/246 | 228393 | |
PINE 14 | 407792 | 560/247 | 228394 | |
PINE 15 | 407793 | 560/248 | 228395 | |
PINE 16 | 407794 | 560/249 | 228396 | |
PINE 17 | 407795 | 560/250 | 228397 | |
PINE 18 | 407796 | 560/251 | 228398 | |
PINE 58 | 407836 | 560/291 | 228438 | |
PINE 59 | 407837 | 560/292 | 228439 | |
PINE 60 | 407838 | 560/293 | 228440 | |
PINE 61 | 407839 | 560/294 | 228441 | |
PINE 62 | 407840 | 560/295 | 228442 | |
PINE 63 | 407841 | 560/296 | 228443 | |
PINE 64 | 407842 | 560/297 | 228444 | |
PINE 65 | 407843 | 560/298 | 228445 | |
PINE 66 | 407844 | 560/299 | 228446 | |
PINK | 76002 | 45/162 | 15183 | |
PORTAL | 76003 | 8/262 | n/a | |
PORTAL FRACTION R | 1013877 | | 620139 | |
RED R | 1013875 | | 620137 | |
RED WEST | 1013876 | | 620138 | |
RF 1 | 403753 | 558/437 | 227904 | |
RF 2 | 403754 | 558/438 | 227905 | |
RF 3 | 403755 | 558/439 | 227906 | |
RF 4 | 403756 | 558/440 | 227907 | |
RF 5 | 403757 | 558/441 | 227908 | |
RF 6 | 403758 | 558/442 | 227909 | |
RF 7 | 403759 | 558/443 | 227910 | |
RF 8 | 403760 | 558/444 | 227911 | |
RN 1 | 602676 | 727/444 | 293981 | |
RN 2 | 602677 | 727/445 | 293982 | |
Gold Standard Ventures | Appendix C Page 9 of 43 |
County Claim Name | NMC # | Book/Page | Doc # | Amended |
RN 3 | 602678 | 727/446 | 293983 | |
RN 4 | 602679 | 727/447 | 293984 | |
RN 5 | 602680 | 727/448 | 293985 | |
RN 6 | 602681 | 727/449 | 293986 | |
RN 7 | 602682 | 727/450 | 293987 | |
RN 8 | 602683 | 727/451 | 293988 | |
RN 9 | 602684 | 727/452 | 293989 | |
RN 10 | 602685 | 727/453 | 293990 | |
RN 11 | 602686 | 727/454 | 293991 | |
RN 12 | 602687 | 727/455 | 293992 | |
RN 13 | 602688 | 727/456 | 293993 | |
RN 14 | 602689 | 727/457 | 293994 | |
RN 15 | 602690 | 727/458 | 293995 | |
RN 16 | 602691 | 727/459 | 293996 | |
RN 17 | 602692 | 727/460 | 293997 | |
RN 18 | 602693 | 727/461 | 293998 | |
RN 19 | 602694 | 727/462 | 293999 | |
RN 20 | 602695 | 727/463 | 294000 | |
RN 21 | 602696 | 727/464 | 294401 | |
RN 22 | 602697 | 727/465 | 294402 | |
RN 23 | 602698 | 727/466 | 294403 | |
RN 24 | 602799 | 727/467 | 294004 | |
RN 25 | 602700 | 727/468 | 294005 | |
ROB | 75879 | 98/352 | 38117 | |
RR 1 | 320216 | 473/538 | 197675 | |
RR 2 | 320217 | 473/539 | 197676 | |
RR 3 | 320218 | 473/540 | 197677 | |
RR 4 | 320219 | 473/541 | 197678 | |
RR 5 | 320220 | 473/542 | 197679 | |
RR 6 | 320221 | 473/543 | 197680 | |
RR 7 | 320222 | 473/544 | 197681 | |
RR 8 | 320223 | 473/545 | 197682 | |
RR 9 | 320224 | 473/546 | 197683 | |
RR 10 | 320225 | 473/547 | 197684 | |
RR 11 | 320226 | 473/548 | 197685 | |
RR 12 | 320227 | 473/549 | 197686 | |
RR 13 | 320228 | 473/550 | 197687 | |
RR 14 | 320229 | 473/551 | 197688 | |
RR 15 | 320230 | 473/552 | 197689 | |
RR 16 | 320231 | 473/553 | 197690 | |
RR 17 | 320232 | 473/554 | 197691 | |
Gold Standard Ventures | Appendix C Page 10 of 43 |
County Claim Name | NMC # | Book/Page | Doc # | Amended |
RR 18 | 320233 | 473/555 | 197692 | |
RR 19 | 320234 | 473/556 | 197693 | |
RR 20 | 320235 | 473/557 | 197694 | |
RR 21 | 320236 | 473/558 | 197695 | |
RR 22 | 320237 | 473/559 | 197696 | |
RR 23 | 320238 | 473/560 | 197697 | |
RR 24 | 320239 | 473/561 | 197698 | |
RR 25 | 320240 | 473/562 | 197699 | |
RR 26 | 320241 | 473/563 | 197700 | |
RR 27 | 320242 | 473/564 | 197701 | |
RR 28 | 320243 | 473/565 | 197702 | |
RR 29 | 320244 | 473/566 | 197703 | |
RR 30 | 320245 | 473/567 | 197704 | |
RR 31 | 320246 | 473/568 | 197705 | |
RR 32 | 320247 | 473/569 | 197706 | |
RR 33 | 320248 | 473/570 | 197707 | |
RR 34 | 320249 | 473/571 | 197708 | |
RR 35 | 320250 | 473/572 | 197709 | |
RR 36 | 320251 | 473/573 | 197710 | |
RR 37 | 320252 | 473/574 | 197711 | |
RR 38 | 320253 | 473/575 | 197712 | |
RR 39 | 320254 | 473/576 | 197713 | |
RR 40 | 426606 | 572/466 | 233143 | |
RR 41 | 426607 | 572/467 | 233144 | |
RR 42 | 426608 | 572/468 | 233145 | |
RR 43 | 426609 | 572/469 | 233146 | |
RR 44 | 426610 | 572/470 | 233147 | |
RR 45 | 426611 | 572/471 | 233148 | |
RR 46 | 426612 | 572/472 | 233149 | |
RR 47 | 426613 | 572/473 | 233150 | |
RR 48 | 426614 | 572/474 | 233151 | |
RR 49 | 426615 | 572/475 | 233152 | |
RR 50 | 426616 | 572/476 | 233153 | |
RR 51 | 426617 | 572/477 | 233154 | |
RR 52 | 426618 | 572/478 | 233155 | |
RR 53 | 426619 | 572/479 | 233156 | |
RR 54 | 426620 | 572/480 | 233157 | |
RR 55 | 466934 | 605/248 | 247268 | |
RR 56 | 466935 | 605/249 | 247269 | |
RR 57 | 466936 | 605/250 | 247270 | |
RR 58 | 466937 | 605/251 | 247271 | |
Gold Standard Ventures | Appendix C Page 11 of 43 |
County Claim Name | NMC # | Book/Page | Doc # | Amended |
RR 59 | 466938 | 605/252 | 247272 | |
RR 60 | 466939 | 605/253 | 247273 | |
RR 61 | 466940 | 605/254 | 247274 | |
RR 62 | 466941 | 605/255 | 247275 | |
RR 63 | 466942 | 605/256 | 247276 | |
RR 64 | 466943 | 605/257 | 247277 | |
RRW 1 | 1055758 | | 647488 | |
RRW 2 | 1055759 | | 647489 | |
RRW 3 | 1055760 | | 647490 | |
RRW 4 | 1055761 | | 647491 | |
RRW 5 | 1055762 | | 647492 | |
RRW 6 | 1055763 | | 647493 | |
RRW 7 | 1055764 | | 647494 | |
RRW 8 | 1055765 | | 647495 | |
RRW 9 | 1055766 | | 647496 | |
RRW 10 | 1055767 | | 647497 | |
RRW 11 | 1055768 | | 647498 | |
RRW 12 | 1055769 | | 647499 | |
RRW 13 | 1055770 | | 647500 | |
RRW 14 | 1055771 | | 647501 | |
RRW 15 | 1055772 | | 647502 | |
RRW 16 | 1055773 | | 647503 | |
RRW 17 | 1055774 | | 647504 | |
RRW 18 | 1055775 | | 647505 | |
RRW 19 | 1055776 | | 647506 | |
RRW 20 | 1055777 | | 647507 | |
RRW 21 | 1055778 | | 647508 | |
RRW 22 | 1055779 | | 647509 | |
RRW 23 | 1055780 | | 647510 | |
RRW 24 | 1055781 | | 647511 | |
RRW 25 | 1055782 | | 647512 | |
RRW 26 | 1055783 | | 647513 | |
RRW 27 | 1055784 | | 647514 | |
RRW 28 | 1055785 | | 647515 | |
RRW 29 | 1055786 | | 647516 | |
RRW 30 | 1055787 | | 647517 | |
RRW 31 | 1055788 | | 647518 | |
RRW 32 | 1055789 | | 647519 | |
RRW 33 | 1055790 | | 647520 | |
RRW 34 | 1055791 | | 647521 | |
RRW 35 | 1055792 | | 647522 | |
Gold Standard Ventures | Appendix C Page 12 of 43 |
County Claim Name | NMC # | Book/Page | Doc # | Amended |
RRW 36 | 1055793 | | 647523 | |
RRW 37 | 1055794 | | 647524 | |
RRW 38 | 1055795 | | 647525 | |
RRW 39 | 1055796 | | 647526 | |
RRW 40 | 1055797 | | 647527 | |
RRW 41 | 1055798 | | 647528 | |
RRW 42 | 1055799 | | 647529 | |
RRW 43 | 1055800 | | 647530 | |
RRW 44 | 1055801 | | 647531 | |
RRW 45 | 1055802 | | 647532 | |
RRW 46 | 1055803 | | 647533 | |
RRW 47 | 1055804 | | 647534 | |
RRW 48 | 1055805 | | 647535 | |
RRW 49 | 1055806 | | 647536 | |
RRW 50 | 1055807 | | 647537 | |
RRW 51 | 1055808 | | 647538 | |
RRW 52 | 1055809 | | 647539 | |
RRW 53 | 1055810 | | 647540 | |
RRW 54 | 1055811 | | 647541 | |
RRW 55 | 1055812 | | 647542 | |
RRW 56 | 1055813 | | 647543 | |
RRW 57 | 1055814 | | 647544 | |
RRW 58 | 1055815 | | 647545 | |
RRW 59 | 1055816 | | 647546 | |
RRW 60 | 1055817 | | 647547 | |
RRW 61 | 1055818 | | 647548 | |
RRW 62 | 1055819 | | 647549 | |
RRW 63 | 1055820 | | 647550 | |
RRW 64 | 1055821 | | 647551 | |
RRW 65 | 1055822 | | 647552 | |
RRW 66 | 1055823 | | 647553 | |
RRW 67 | 1055824 | | 647554 | |
RRW 68 | 1055825 | | 647555 | |
RRW 69 | 1055826 | | 647556 | |
RRW 70 | 1055827 | | 647557 | |
RRW 71 | 1055828 | | 647558 | |
RRW 72 | 1055829 | | 647559 | |
RRW 73 | 1055830 | | 647560 | |
RRW 74 | 1055831 | | 647561 | |
RRW 75 | 1055832 | | 647562 | |
RRW 76 | 1055833 | | 647563 | |
Gold Standard Ventures | Appendix C Page 13 of 43 |
County Claim Name | NMC # | Book/Page | Doc # | Amended |
RRW 77 | 1055834 | | 647564 | |
RRW 78 | 1055835 | | 647565 | |
RRW 79 | 1055836 | | 647566 | |
RRW 80 | 1055837 | | 647567 | |
RRW 81 | 1055838 | | 647568 | |
RRW 82 | 1055839 | | 647569 | |
RRW 83 | 1055840 | | 647570 | |
RRW 84 | 1055841 | | 647571 | |
RRW 85 | 1055842 | | 647572 | |
RRW 86 | 1055843 | | 647573 | |
RRW 87 | 1055844 | | 647574 | |
RRW 88 | 1055845 | | 647575 | |
RRW 89 | 1055846 | | 647576 | |
RRW 90 | 1055847 | | 647577 | |
RRW 91 | 1055848 | | 647578 | |
RRW 92 | 1055849 | | 647579 | |
RRW 93 | 1055850 | | 647580 | |
RRW 94 | 1055851 | | 647581 | |
RRW 95 | 1055852 | | 647582 | |
RRW 96 | 1055853 | | 647583 | |
RRW 97 | 1055854 | | 647584 | |
RRW 98 | 1055855 | | 647585 | |
RRW 99 | 1055856 | | 647586 | |
RRW 100 | 1055857 | | 647587 | |
RRW 101 | 1055858 | | 647588 | |
RRW 102 | 1055859 | | 647589 | |
RRW 103 | 1055860 | | 647590 | |
RRW 104 | 1055861 | | 647591 | |
RRW 105 | 1055862 | | 647592 | |
RRW 106 | 1055863 | | 647593 | |
RRW 107 | 1055864 | | 647594 | |
RRW 108 | 1055865 | | 647595 | |
RRW 109 | 1055866 | | 647596 | |
RRW 110 | 1073755 | | 658461 | |
SELCO 1 | 75884 | 98/339 | 38104 | |
SELCO 2 | 75885 | 98/340 | 38105 | |
SELCO 3 | 75886 | 98/341 | 38106 | |
SELCO 4 | 75887 | 98/342 | 38107 | |
SELCO 5 | 75888 | 98/343 | 38108 | |
SELCO 6 | 75889 | 98/344 | 38109 | |
SELCO 7 | 75890 | 98/345 | 38110 | |
Gold Standard Ventures | Appendix C Page 14 of 43 |
County Claim Name | NMC # | Book/Page | Doc # | Amended |
SELCO 8 | 75891 | 98/346 | 38111 | |
SELCO 9 | 75892 | 98/347 | 38112 | |
SELCO 10 | 75893 | 98/348 | 38113 | |
SELCO 12 | 75895 | 98/509 | 38207 | |
SELCO 13 | 75896 | 98/510 | 38208 | |
SELCO 14 | 75897 | 98/511 | 38209 | |
SELCO 19 | 75902 | 98/516 | 38214 | |
SELCO 20 | 75903 | 98/517 | 38215 | |
SELCO 21 | 75904 | 98/518 | 38216 | |
SELCO 22 | 75905 | 98/519 | 38217 | |
SELCO 23 | 75906 | 98/520 | 38218 | |
SELCO 24 | 75907 | 98/521 | 38219 | |
SELCO 25 | 75908 | 98/522 | 38220 | |
SELCO 26 | 75909 | 98/523 | 38221 | |
SELCO 27 | 75910 | 98/224 | 38023 | |
SELCO 28 | 75911 | 98/225 | 38024 | |
SELCO 29 | 75912 | 98/226 | 38025 | |
SELCO 30 | 75913 | 98/524 | 38222 | |
SELCO 31 | 75914 | 98/525 | 38223 | |
SELCO 32 | 75915 | 101/56 | 39393 | |
SELCO 33 | 75916 | 101/57 | 39394 | |
SELCO 34 | 75917 | 101/58 | 39395 | |
SELCO 35 | 75918 | 101/59 | 39396 | |
SELCO 36 | 75919 | 101/60 | 39397 | |
SELCO 37 | 75920 | 101/61 | 39398 | |
SELCO 38 | 75921 | 114/400 | 45258 | 115/665 |
SELCO 39 | 75922 | 114/401 | 45259 | |
SELCO 40 | 75923 | 114/402 | 45260 | |
SELCO 41 | 75924 | 114/403 | 45261 | |
SELCO 42 | 75925 | 114/404 | 45262 | |
SELCO 43 | 75926 | 114/405 | 45263 | |
SELCO 44 | 75927 | 114/406 | 45264 | |
SELCO 45 | 75928 | 114/407 | 45265 | |
SELCO 46 | 75929 | 114/408 | 45266 | |
SELCO 47 | 75930 | 114/409 | 45267 | |
SELCO 48 | 75931 | 114/410 | 45268 | |
SELCO 49 | 75932 | 114/411 | 45269 | |
SELCO 50 | 75933 | 114/412 | 45270 | |
SELCO 51 | 75934 | 114/413 | 45271 | |
SELCO 52 | 75935 | 114/414 | 45272 | |
SELCO 53 | 75936 | 114/415 | 45273 | |
Gold Standard Ventures | Appendix C Page 15 of 43 |
County Claim Name | NMC # | Book/Page | Doc # | Amended |
SELCO 54 | 75937 | 116/55 | 46003 | |
SELCO 55 | 75938 | 116/56 | 46004 | |
SELCO 56 | 75939 | 116/57 | 46005 | |
SELCO 57 | 75940 | 116/58 | 46006 | |
SELCO 58 | 75941 | 116/59 | 46007 | |
SELCO 59 | 75942 | 116/60 | 46008 | |
SELCO 60 | 75943 | 116/61 | 46009 | |
SELCO 61 | 75944 | 116/62 | 46010 | |
SELCO 63 | 75946 | 115/667 | 45941 | |
SELCO 65 | 75948 | 115/669 | 45943 | |
SELCO 67 | 75950 | 115/671 | 45945 | |
SELCO 69 | 75952 | 115/673 | 45947 | |
SELCO 70 | 75953 | 115/674 | 45948 | |
SELCO 71 | 75954 | 115/675 | 45949 | |
SELCO 72 | 75955 | 115/676 | 45950 | |
SELCO 73 | 75956 | 115/677 | 45951 | |
SELCO 74 | 75957 | 115/678 | 45952 | |
SELCO 75 | 75958 | 115/679 | 45953 | |
SELCO 76 | 75959 | 115/680 | 45954 | |
SELCO 77 | 75960 | 115/681 | 45955 | |
SELCO 78 | 75961 | 115/682 | 45956 | |
SELCO 79 | 75962 | 115/683 | 45957 | |
SELCO 80 | 75963 | 115/684 | 45958 | |
SELCO 81 | 75964 | 115/685 | 45959 | |
SELCO 84 | 75967 | 115/688 | 45962 | |
SELCO 85 | 75968 | 115/689 | 45963 | |
SELCO 86 | 75969 | 115/690 | 45964 | |
SELCO 87 | 75970 | 115/691 | 45965 | |
SELCO 88 | 75971 | 115/692 | 45966 | |
SELCO 89 | 75972 | 115/693 | 45967 | |
SNOWBIRD | 76006 | 7/597 | n/a | |
SPRING | 76007 | 17/101 | 8688 | |
STAR | 76008 | 45/155 | 15176 | |
STORM KING | 76009 | 5/294 | n/a | 17/102 |
UHALDE-BORNE | 76010 | 40/110 | 5925 | |
UHALDE-BORNE NORTH | 76011 | 39/47 | 4812 | |
WCS 1 | 1073756 | | 658463 | |
WCS 2 | 1073757 | | 658464 | |
WCS 3 | 1073758 | | 658465 | |
WCS 4 | 1073759 | | 658466 | |
Gold Standard Ventures | Appendix C Page 16 of 43 |
County Claim Name | NMC # | Book/Page | Doc # | Amended |
WCS 5 | 1073760 | | 658467 | |
WCS 6 | 1073761 | | 658468 | |
WCS 7 | 1073762 | | 658469 | |
WCS 8 | 1073763 | | 658470 | |
WCS 9 | 1073764 | | 658471 | |
WCS 10 | 1073765 | | 658472 | |
WCS 11 | 1073766 | | 658473 | |
WCS 12 | 1073767 | | 658474 | |
WCS 13 | 1073768 | | 658475 | |
WCS 14 | 1073769 | | 658476 | |
WCS 15 | 1073770 | | 658477 | |
WCS 16 | 1073771 | | 658478 | |
WCS 17 | 1073772 | | 658479 | |
WCS 18 | 1073773 | | 658480 | |
WCS 19 | 1073774 | | 658481 | |
WCS 20 | 1073775 | | 658482 | |
WCS 21 | 1073776 | | 658483 | |
WCS 22 | 1073777 | | 658484 | |
WCS 23 | 1073778 | | 658485 | |
WCS 24 | 1073779 | | 658486 | |
WCS 25 | 1073780 | | 658487 | |
WCS 26 | 1073781 | | 658488 | |
WRN 1 | 602701 | 727/469 | 294007 | |
WRN 2 | 602702 | 727/470 | 294008 | |
WRN 3 | 602703 | 727/471 | 294009 | |
WRN 4 | 602704 | 727/472 | 294010 | |
WRN 5 | 602705 | 727/473 | 294011 | |
WRN 6 | 602706 | 727/474 | 294012 | |
WRN 7 | 602707 | 727/475 | 294013 | |
WRN 8 | 602708 | 727/476 | 294014 | |
WRN 9 | 602709 | 727/477 | 294015 | |
WRN 10 | 602710 | 727/478 | 294016 | |
WRN 11 | 602711 | 727/479 | 294017 | |
WRN 12 | 602712 | 727/480 | 294018 | |
JMD 14 | 1098808 | | 682367 | |
JMD 15 | 1098809 | | 682368 | |
JMD 16 | 1098810 | | 682369 | |
JMD 17 | 1098811 | | 682370 | |
JMD 18 | 1098812 | | 682371 | |
JMD 19 | 1098813 | | 682372 | |
JMD 20 | 1098814 | | 682373 | |
Gold Standard Ventures | Appendix C Page 17 of 43 |
County Claim Name | NMC # | Book/Page | Doc # | Amended |
JMD 21 | 1098815 | | 682374 | |
JMD 22 | 1098816 | | 682375 | |
JMD 23 | 1098817 | | 682376 | |
JMD 24 | 1098818 | | 682377 | |
JMD 25 | 1098819 | | 682378 | |
JMD 26 | 1098820 | | 682379 | |
JMD 27 | 1098821 | | 682380 | |
JMD 28 | 1098822 | | 682381 | |
JMD 29 | 1098823 | | 682382 | |
JMD 30 | 1098824 | | 682383 | |
JMD 31 | 1098825 | | 682384 | |
JMD 32 | 1098826 | | 682385 | |
JMD 33 | 1098827 | | 682386 | |
JMD 34 | 1098828 | | 682387 | |
JMD 35 | 1098829 | | 682388 | |
JMD 36 | 1098830 | | 682389 | |
JMD 37 | 1098831 | | 682390 | |
JMD 38 | 1098832 | | 682391 | |
JMD 39 | 1098833 | | 682392 | |
JMD 40 | 1098834 | | 682393 | |
JMD 41 | 1098835 | | 682394 | |
JMD 42 | 1098836 | | 682395 | |
JMD 43 | 1102648 | | 687332 | |
JMD 44 | 1102649 | | 687333 | |
JMD 45 | 1102650 | | 687334 | |
Claim Name | NMC # | Book/Page | County # |
PF 1 | NMC1116606 | | 706340 |
PF 2 | NMC1116607 | | 706341 |
PF 3 | NMC1116608 | | 706342 |
PF 4 | NMC1116609 | | 706343 |
PF 5 | NMC1116610 | | 706344 |
PF 6 | NMC1116611 | | 706345 |
PF 7 | NMC1116612 | | 706346 |
PF 8 | NMC1116613 | | 706347 |
PF 9 | NMC1116614 | | 706348 |
PF 10 | NMC1116615 | | 706349 |
PF 11 | NMC1116616 | | 706350 |
PF 12 | NMC1116617 | | 706351 |
PF 13 | NMC1116618 | | 706352 |
PF 14 | NMC1116619 | | 706353 |
Gold Standard Ventures | Appendix C Page 18 of 43 |
Claim Name | NMC # | Book/Page | County # |
PF 15 | NMC1116620 | | 706354 |
PF 16 | NMC1116621 | | 706355 |
PF 17 | NMC1116622 | | 706356 |
PF 18 | NMC1116623 | | 706357 |
PF 19 | NMC1116624 | | 706358 |
PF 20 | NMC1116625 | | 706359 |
PF 21 | NMC1116626 | | 706360 |
PF 22 | NMC1116627 | | 706361 |
PF 23 | NMC1116628 | | 706362 |
PF 24 | NMC1116629 | | 706363 |
PF 25 | NMC1116630 | | 706364 |
PF 26 | NMC1124620 | | 712260 |
PF 27 | NMC1124621 | | 712261 |
PF 28 | NMC1124622 | | 712262 |
PF 29 | NMC1124623 | | 712263 |
PF 30 | NMC1124624 | | 712264 |
PF 31 | NMC1124625 | | 712265 |
PF 32 | NMC1124626 | | 712266 |
PF 33 | NMC1124627 | | 712267 |
PF 34 | NMC1124628 | | 712268 |
PF 35 | NMC1124629 | | 712269 |
PF 36 | NMC1124630 | | 712270 |
PF 37 | NMC1124631 | | 712271 |
PF 38 | NMC1124632 | | 712272 |
PF 39 | NMC1124633 | | 712273 |
PF 40 | NMC1124634 | | 712274 |
PF 41 | NMC1124635 | | 712275 |
PF 42 | NMC1124636 | | 712276 |
PF 43 | NMC1124637 | | 712277 |
PF 44 | NMC1124638 | | 712278 |
PF 45 | NMC1124639 | | 712279 |
PF 46 | NMC1124640 | | 712280 |
PF 47 | NMC1124641 | | 712281 |
PF 48 | NMC1124642 | | 712282 |
PF 49 | NMC1124643 | | 712283 |
PF 50 | NMC1124644 | | 712284 |
PF 51 | NMC1124645 | | 712285 |
PF 52 | NMC1124646 | | 712286 |
Gold Standard Ventures | Appendix C Page 19 of 43 |
South Railroad Portion of the Property
Claim Name | NMC # | Book/Page | Document # |
CISS 37 | 407885 | 560/340 | 228488 |
CISS 38 | 407886 | 560/341 | 228489 |
CISS 39 | 407887 | 560/342 | 228490 |
CISS 40 | 407888 | 560/343 | 228491 |
CISS 41 | 407889 | 560/344 | 228492 |
CISS 42 | 407890 | 560/345 | 228493 |
CISS 43 | 407891 | 560/346 | 228494 |
CISS 44 | 407892 | 560/347 | 228495 |
CISS 45 | 407893 | 560/348 | 228496 |
CISS 46 | 407894 | 560/349 | 228497 |
CISS 47 | 407895 | 560/350 | 228498 |
CISS 48 | 407896 | 560/351 | 228499 |
CISS 49 | 407897 | 560/352 | 228500 |
CISS 50 | 407898 | 560/353 | 228501 |
CISS 51 | 407899 | 560/354 | 228502 |
CISS 52 | 407900 | 560/355 | 228503 |
CISS 53 | 407901 | 560/356 | 228504 |
CISS 54 | 407902 | 560/357 | 228505 |
CISS 55 | 407903 | 560/358 | 228506 |
CISS 56 | 407904 | 560/359 | 228507 |
CISS 57 | 407905 | 560/360 | 228508 |
CISS 58 | 407906 | 560/361 | 228509 |
CISS 59 | 407907 | 560/362 | 228510 |
CISS 60 | 407908 | 560/363 | 228511 |
CISS 61 | 407909 | 560/364 | 228512 |
CISS 62 | 407910 | 560/365 | 228513 |
CISS 63 | 407911 | 560/366 | 228514 |
CISS 64 | 407912 | 560/367 | 228515 |
CISS 65 | 407913 | 560/368 | 228516 |
CISS 66 | 407914 | 560/369 | 228517 |
CISS 67 | 407915 | 560/370 | 228518 |
CISS 68 | 407916 | 560/371 | 228519 |
CISS 69 | 407917 | 560/372 | 228520 |
CISS 70 | 407918 | 560/373 | 228521 |
CISS 71 | 407919 | 560/374 | 228522 |
CISS 72 | 407920 | 560/375 | 228523 |
CISS 73 | 407921 | 560/376 | 228524 |
CISS 74 | 407922 | 560/377 | 228525 |
CISS 75 | 407923 | 560/378 | 228526 |
CISS 76 | 407924 | 560/379 | 228527 |
CISS 77 | 407925 | 560/380 | 228528 |
CISS 78 | 407926 | 560/381 | 228529 |
CISS 79 | 407927 | 560/382 | 228530 |
CISS 80 | 407928 | 560/383 | 228531 |
CISS 81 | 407929 | 560/384 | 228532 |
Gold Standard Ventures | Appendix C Page 20 of 43 |
Claim Name | NMC # | Book/Page | Document # |
CISS 82 | 407930 | 560/385 | 228533 |
CISS 83 | 407931 | 560/386 | 228534 |
CISS 84 | 407932 | 560/387 | 228535 |
CISS 85 | 407933 | 560/388 | 228536 |
CISS 86 | 407934 | 560/389 | 228537 |
CISS 87 | 407935 | 560/390 | 228538 |
PP 1 | 829752 | 2/22680 | 484937 |
PP 2 | 829753 | 2/22681 | 484938 |
PP 3 | 829754 | 2/22682 | 484939 |
PP 4 | 829755 | 2/22683 | 484940 |
PP 5 | 829756 | 2/22684 | 484941 |
PP 6 | 829757 | 2/22685 | 484942 |
PP 7 | 829758 | 2/22686 | 484943 |
PP 8 | 829759 | 2/22687 | 484944 |
PP 9 | 829760 | 2/22688 | 484945 |
PP 10 | 829761 | 2/22689 | 484946 |
PP 11 | 829762 | 2/22690 | 484947 |
PP 12 | 829763 | 2/22691 | 484948 |
PP 13 | 829764 | 2/22692 | 484949 |
PP 14 | 829765 | 2/22693 | 484950 |
PP 15 | 829766 | 2/22694 | 484951 |
PP 16 | 829767 | 2/22695 | 484952 |
PP 17 | 829768 | 2/22696 | 484953 |
PP 18 | 829769 | 2/22697 | 484954 |
PP 19 | 829770 | 2/22698 | 484955 |
PP 20 | 829771 | 2/22699 | 484956 |
PP 21 | 829772 | 2/22700 | 484957 |
PP 22 | 829773 | 2/22701 | 484958 |
PP 23 | 829774 | 2/22702 | 484959 |
PP 24 | 829775 | 2/22703 | 484960 |
PP 25 | 829776 | 2/22704 | 484961 |
PP 26 | 829777 | 2/22705 | 484962 |
PP 27 | 829778 | 2/22706 | 484963 |
PP 28 | 829779 | 2/22707 | 484964 |
PP 29 | 829780 | 2/22708 | 484965 |
PP 30 | 829781 | 2/22709 | 484966 |
PP 31 | 829782 | 2/22710 | 484967 |
PP 32 | 829783 | 2/22711 | 484968 |
PP 33 | 829784 | 2/22712 | 484969 |
PP 34 | 829785 | 2/22713 | 484970 |
PP 35 | 829786 | 2/22714 | 484971 |
PP 36 | 829787 | 2/22715 | 484972 |
PP 37 | 829788 | 2/22716 | 484973 |
PP 38 | 829789 | 2/22717 | 484974 |
PP 39 | 829790 | 2/22718 | 484975 |
PP 40 | 829791 | 2/22719 | 484976 |
PP 41 | 829792 | 2/22720 | 484977 |
Gold Standard Ventures | Appendix C Page 21 of 43 |
Claim Name | NMC # | Book/Page | Document # |
PP 42 | 829793 | 2/22721 | 484978 |
PP 43 | 829794 | 2/22722 | 484979 |
PP 44 | 829795 | 2/22723 | 484980 |
PP 45 | 829796 | 2/22724 | 484981 |
PP 46 | 829797 | 2/22725 | 484982 |
PP 59 | 829810 | 2/22738 | 484995 |
PP 60 | 829811 | 2/22739 | 484996 |
PP 61 | 829812 | 2/22740 | 484997 |
PP 62 | 829813 | 2/22741 | 484998 |
PP 63 | 829814 | 2/22742 | 484999 |
PP 64 | 829815 | 2/22743 | 485000 |
PP 65 | 829816 | 2/22744 | 485001 |
PP 66 | 829817 | 2/22745 | 485002 |
PP 67 | 829818 | 2/22746 | 485003 |
PP 68 | 829819 | 2/22747 | 485004 |
PP 69 | 829820 | 2/22748 | 485005 |
PP 70 | 829821 | 2/22749 | 485006 |
PP 71 | 829822 | 2/22750 | 485007 |
PP 72 | 829823 | 2/22751 | 485008 |
PP 73 | 829824 | 2/22752 | 485009 |
PP 74 | 829825 | 2/22753 | 485010 |
PP 75 | 829826 | 2/22754 | 485011 |
PP 76 | 829827 | 2/22755 | 485012 |
PP 77 | 881622 | 4/57463 | 526778 |
PP 78 | 881623 | 4/57464 | 526779 |
PP 79 | 881624 | 4/57465 | 526780 |
PR 1 | 881625 | 4/57466 | 526762 |
PR 2 | 881626 | 4/57467 | 526763 |
PR 3 | 881627 | 4/57468 | 526764 |
PR 4 | 881628 | 4/57469 | 526765 |
PR 5 | 881629 | 4/57470 | 526766 |
PR 6 | 881630 | 4/57471 | 526767 |
PR 7 | 881631 | 4/57472 | 526768 |
PR 8 | 881632 | 4/57473 | 526769 |
PR 9 | 881633 | 4/57474 | 526770 |
PR 10 | 881634 | 4/57475 | 526771 |
PR 11 | 881635 | 4/57476 | 526772 |
PR 12 | 881636 | 4/57477 | 526773 |
PR 13 | 881637 | 4/57478 | 526774 |
PR 14 | 881638 | 4/57479 | 526775 |
PR 15 | 881639 | 4/57480 | 526776 |
TC 1 | 125639 | 304/6 | 127282 |
TC 2 | 125640 | 304/7 | 127283 |
TC 3 | 125641 | 304/8 | 127284 |
TC 4 | 125642 | 304/9 | 127285 |
TC 5 | 125643 | 304/10 | 127286 |
TC 6 | 125644 | 304/11 | 127287 |
Gold Standard Ventures | Appendix C Page 22 of 43 |
Claim Name | NMC # | Book/Page | Document # |
TC 7 | 125645 | 304/12 | 127288 |
TC 8 | 125646 | 304/13 | 127289 |
TC 9 | 125647 | 304/14 | 127290 |
TC 10 | 125648 | 304/15 | 127291 |
TC 11 | 133862 | 309/184 | 129702 |
TC 12 | 148871 | 329/58 | 137481 |
TC 13 | 148872 | 329/59 | 137482 |
TC 14 | 148873 | 329/60 | 137483 |
TC 15 | 148874 | 329/61 | 137484 |
TC 16 | 148875 | 329/62 | 137485 |
TC 17 | 148876 | 329/63 | 137486 |
TC 18 | 148877 | 329/64 | 137487 |
TC 19 | 148878 | 329/65 | 137488 |
TC 20 | 148879 | 329/66 | 137489 |
TC 21 | 148880 | 329/67 | 137490 |
TC 22 | 148881 | 329/68 | 137491 |
TC 23 | 148882 | 329/69 | 137492 |
TC 24 | 148883 | 329/70 | 137493 |
TC 25 | 148884 | 329/71 | 137494 |
TC 26 | 148885 | 329/72 | 137495 |
TC 27 | 148886 | 329/73 | 137496 |
TC 28 | 148887 | 329/74 | 137497 |
TC 29 | 403761 | 558/426 | 227892 |
TC 30 | 403762 | 558/427 | 227893 |
TC 31 | 403763 | 558/428 | 227894 |
TC 32 | 403764 | 558/429 | 227895 |
TC 33 | 403765 | 558/430 | 227896 |
TC 34 | 403766 | 558/431 | 227897 |
TC 35 | 403767 | 558/432 | 227898 |
TC 36 | 403768 | 558/433 | 227899 |
TC 37 | 403769 | 558/434 | 227900 |
TC 38 | 403770 | 558/435 | 227901 |
TC 39 | 403771 | 558/436 | 227902 |
TC 37R | 1102651 | | 687335 |
TC 38R | 1102652 | | 687336 |
Claim Name | NMC # | Book/Page | County Document # |
WC 1 | 1117619 | | 707289 |
WC 2 | 1117620 | | 707290 |
WC 3 | 1117621 | | 707291 |
WC 4 | 1117622 | | 707292 |
WC 5 | 1117623 | | 707293 |
WC 6 | 1117624 | | 707294 |
WC 7 | 1117625 | | 707295 |
WC 8 | 1117626 | | 707296 |
WC 9 | 1117627 | | 707297 |
Gold Standard Ventures | Appendix C Page 23 of 43 |
Claim Name | NMC # | Book/Page | County Document # |
WC 10 | 1117628 | | 707298 |
WC 11 | 1117629 | | 707299 |
WC 12 | 1117630 | | 707300 |
WC 13 | 1117631 | | 707301 |
WC 14 | 1117632 | | 707302 |
WC 15 | 1117633 | | 707303 |
WC 16 | 1117634 | | 707304 |
WC 17 | 1117635 | | 707305 |
WC 18 | 1117636 | | 707306 |
WC 19 | 1117637 | | 707307 |
WC 20 | 1117638 | | 707308 |
WC 21 | 1117639 | | 707309 |
WC 22 | 1117640 | | 707310 |
WC 23 | 1117641 | | 707311 |
WC 24 | 1117642 | | 707312 |
WC 25 | 1117643 | | 707313 |
WC 26 | 1117644 | | 707314 |
WC 27 | 1117645 | | 707315 |
WC 28 | 1117646 | | 707316 |
WC 29 | 1117647 | | 707317 |
WC 30 | 1117648 | | 707318 |
WC 31 | 1117649 | | 707319 |
WC 32 | 1117650 | | 707320 |
WC 33 | 1117651 | | 707321 |
WC 34 | 1117652 | | 707322 |
WC 35 | 1117653 | | 707323 |
WC 36 | 1117654 | | 707324 |
WC 37 | 1117655 | | 707325 |
WC 38 | 1117656 | | 707326 |
WC 39 | 1117657 | | 707327 |
WC 40 | 1117658 | | 707328 |
WC 41 | 1117659 | | 707329 |
WC 42 | 1117660 | | 707330 |
WC 43 | 1117661 | | 707331 |
WC 44 | 1117662 | | 707332 |
WC 45 | 1117663 | | 707333 |
WC 46 | 1117664 | | 707334 |
WC 47 | 1117665 | | 707335 |
WC 48 | 1117666 | | 707336 |
WC 49 | 1117667 | | 707337 |
WC 50 | 1117668 | | 707338 |
WC 51 | 1117669 | | 707339 |
WC 52 | 1117670 | | 707340 |
WC 53 | 1117671 | | 707341 |
WC 54 | 1117672 | | 707342 |
WC 55 | 1117673 | | 707343 |
WC 56 | 1117674 | | 707344 |
WC 57 | 1117675 | | 707345 |
Gold Standard Ventures | Appendix C Page 24 of 43 |
Claim Name | NMC # | Book/Page | County Document # |
WC 58 | 1117676 | | 707346 |
WC 59 | 1117677 | | 707347 |
WC 60 | 1117678 | | 707348 |
WC 61 | 1117679 | | 707349 |
WC 62 | 1117680 | | 707350 |
WC 63 | 1117681 | | 707351 |
WC 64 | 1117682 | | 707352 |
WC 65 | 1117683 | | 707353 |
WC 66 | 1117684 | | 707354 |
WC 67 | 1117685 | | 707355 |
WC 68 | 1117686 | | 707356 |
WC 69 | 1117687 | | 707357 |
WC 70 | 1117688 | | 707358 |
WC 71 | 1117689 | | 707359 |
WC 72 | 1117690 | | 707360 |
WC 73 | 1117691 | | 707361 |
WC 74 | 1117692 | | 707362 |
WC 75 | 1117693 | | 707363 |
WC 76 | 1117694 | | 707364 |
WC 77 | 1117695 | | 707365 |
WC 78 | 1117696 | | 707366 |
WC 79 | 1117697 | | 707367 |
WC 80 | 1117698 | | 707368 |
WC 81 | 1117699 | | 707369 |
WC 82 | 1117700 | | 707370 |
WC 83 | 1117701 | | 707371 |
WC 84 | 1117702 | | 707372 |
WC 85 | 1117703 | | 707373 |
WC 86 | 1117704 | | 707374 |
Claim Name | Book/Page | Document No. | BLM NMC No. |
TM 1 | | 709568 | 1120097 |
TM 2 | | 709569 | 1120098 |
TM 3 | | 709570 | 1120099 |
TM 4 | | 709571 | 1120100 |
TM 5 | | 709572 | 1120101 |
TM 6 | | 709573 | 1120102 |
TM 7 | | 709574 | 1120103 |
TM 8 | | 709575 | 1120104 |
TM 9 | | 709576 | 1120105 |
TM 10 | | 709577 | 1120106 |
TM 11 | | 709578 | 1120107 |
TM 12 | | 709579 | 1120108 |
TM 13 | | 709580 | 1120109 |
TM 14 | | 709581 | 1120110 |
TM 15 | | 709582 | 1120111 |
Gold Standard Ventures | Appendix C Page 25 of 43 |
Claim Name | Book/Page | Document No. | BLM NMC No. |
TM 16 | | 709583 | 1120112 |
TM 17 | | 709584 | 1120113 |
TM 18 | | 709585 | 1120114 |
County Claim Name | Location Date | Recorded | Document No. | BLM NMC No. |
WX 1 | 11/19/2016 | 2/13/2017 | 721913 | 1139466 |
WX 2 | 11/19/2016 | 2/13/2017 | 721914 | 1139467 |
WX 3 | 11/19/2016 | 2/13/2017 | 721915 | 1139468 |
WX 4 | 11/19/2016 | 2/13/2017 | 721916 | 1139469 |
WX 5 | 11/19/2016 | 2/13/2017 | 721917 | 1139470 |
WX 6 | 11/19/2016 | 2/13/2017 | 721918 | 1139471 |
WX 7 | 11/19/2016 | 2/13/2017 | 721919 | 1139472 |
WX 8 | 11/19/2016 | 2/13/2017 | 721920 | 1139473 |
WX 9 | 11/19/2016 | 2/13/2017 | 721921 | 1139474 |
WX 10 | 11/19/2016 | 2/13/2017 | 721922 | 1139475 |
WX 11 | 11/19/2016 | 2/13/2017 | 721923 | 1139476 |
WX 12 | 11/19/2016 | 2/13/2017 | 721924 | 1139477 |
WX 13 | 11/19/2016 | 2/13/2017 | 721925 | 1139478 |
WX 14 | 11/19/2016 | 2/13/2017 | 721926 | 1139479 |
WX 15 | 11/19/2016 | 2/13/2017 | 721927 | 1139480 |
WX 16 | 11/19/2016 | 2/13/2017 | 721928 | 1139481 |
WX 17 | 11/19/2016 | 2/13/2017 | 721929 | 1139482 |
WX 18 | 11/19/2016 | 2/13/2017 | 721930 | 1139483 |
WX 19 | 11/19/2016 | 2/13/2017 | 721931 | 1139484 |
WX 20 | 11/19/2016 | 2/13/2017 | 721932 | 1139485 |
WX 21 | 11/19/2016 | 2/13/2017 | 721933 | 1139486 |
WX 22 | 11/19/2016 | 2/13/2017 | 721934 | 1139487 |
WX 23 | 11/19/2016 | 2/13/2017 | 721935 | 1139488 |
WX 24 | 11/19/2016 | 2/13/2017 | 721936 | 1139489 |
WX 25 | 11/19/2016 | 2/13/2017 | 721937 | 1139490 |
WX 26 | 11/19/2016 | 2/13/2017 | 721938 | 1139491 |
WX 27 | 11/19/2016 | 2/13/2017 | 721939 | 1139492 |
WX 28 | 11/19/2016 | 2/13/2017 | 721940 | 1139493 |
WX 29 | 11/19/2016 | 2/13/2017 | 721941 | 1139494 |
WX 30 | 11/19/2016 | 2/13/2017 | 721942 | 1139495 |
WX 31 | 11/19/2016 | 2/13/2017 | 721943 | 1139496 |
WX 32 | 11/19/2016 | 2/13/2017 | 721944 | 1139497 |
WX 33 | 11/19/2016 | 2/13/2017 | 721945 | 1139498 |
WX 34 | 11/19/2016 | 2/13/2017 | 721946 | 1139499 |
WX 35 | 11/19/2016 | 2/13/2017 | 721947 | 1139500 |
WX 36 | 11/19/2016 | 2/13/2017 | 721948 | 1139501 |
WX 37 | 11/19/2016 | 2/13/2017 | 721949 | 1139502 |
WX 38 | 11/19/2016 | 2/13/2017 | 721950 | 1139503 |
WX 39 | 11/19/2016 | 2/13/2017 | 721951 | 1139504 |
WX 40 | 11/19/2016 | 2/13/2017 | 721952 | 1139505 |
WX 41 | 11/19/2016 | 2/13/2017 | 721953 | 1139506 |
Gold Standard Ventures | Appendix C Page 26 of 43 |
County Claim Name | Location Date | Recorded | Document No. | BLM NMC No. |
WX 42 | 11/19/2016 | 2/13/2017 | 721954 | 1139507 |
WX 43 | 11/19/2016 | 2/13/2017 | 721955 | 1139508 |
WX 44 | 11/19/2016 | 2/13/2017 | 721956 | 1139509 |
WX 45 | 11/19/2016 | 2/13/2017 | 721957 | 1139510 |
WX 46 | 11/19/2016 | 2/13/2017 | 721958 | 1139511 |
WX 47 | 11/19/2016 | 2/13/2017 | 721959 | 1139512 |
WX 48 | 11/19/2016 | 2/13/2017 | 721960 | 1139513 |
WX 49 | 11/19/2016 | 2/13/2017 | 721961 | 1139514 |
WX 50 | 11/19/2016 | 2/13/2017 | 721962 | 1139515 |
WX 51 | 11/19/2016 | 2/13/2017 | 721963 | 1139516 |
WX 52 | 11/19/2016 | 2/13/2017 | 721964 | 1139517 |
WX 53 | 11/19/2016 | 2/13/2017 | 721965 | 1139518 |
WX 54 | 11/19/2016 | 2/13/2017 | 721966 | 1139519 |
WX 55 | 11/20/2016 | 2/13/2017 | 721967 | 1139520 |
WX 56 | 11/20/2016 | 2/13/2017 | 721968 | 1139521 |
WX 57 | 11/20/2016 | 2/13/2017 | 721969 | 1139522 |
WX 58 | 11/20/2016 | 2/13/2017 | 721970 | 1139523 |
WX 59 | 11/20/2016 | 2/13/2017 | 721971 | 1139524 |
WX 60 | 11/20/2016 | 2/13/2017 | 721972 | 1139525 |
WX 61 | 11/20/2016 | 2/13/2017 | 721973 | 1139526 |
WX 62 | 11/20/2016 | 2/13/2017 | 721974 | 1139527 |
WX 63 | 11/20/2016 | 2/13/2017 | 721975 | 1139528 |
WX 64 | 11/20/2016 | 2/13/2017 | 721976 | 1139529 |
WX 65 | 11/20/2016 | 2/13/2017 | 721977 | 1139530 |
WX 66 | 11/20/2016 | 2/13/2017 | 721978 | 1139531 |
WX 67 | 11/20/2016 | 2/13/2017 | 721979 | 1139532 |
WX 68 | 11/20/2016 | 2/13/2017 | 721980 | 1139533 |
WX 69 | 11/20/2016 | 2/13/2017 | 721981 | 1139534 |
WX 70 | 11/20/2016 | 2/13/2017 | 721982 | 1139535 |
WX 71 | 11/20/2016 | 2/13/2017 | 721983 | 1139536 |
WX 72 | 11/20/2016 | 2/13/2017 | 721984 | 1139537 |
WX 73 | 11/18/2016 | 2/13/2017 | 721985 | 1139538 |
WX 74 | 11/18/2016 | 2/13/2017 | 721986 | 1139539 |
WX 75 | 11/18/2016 | 2/13/2017 | 721987 | 1139540 |
WX 76 | 11/18/2016 | 2/13/2017 | 721988 | 1139541 |
WX 77 | 11/18/2016 | 2/13/2017 | 721989 | 1139542 |
WX 78 | 11/18/2016 | 2/13/2017 | 721990 | 1139543 |
WX 79 | 11/18/2016 | 2/13/2017 | 721991 | 1139544 |
WX 80 | 11/18/2016 | 2/13/2017 | 721992 | 1139545 |
WX 81 | 11/18/2016 | 2/13/2017 | 721993 | 1139546 |
WX 82 | 11/18/2016 | 2/13/2017 | 721994 | 1139547 |
WX 83 | 11/18/2016 | 2/13/2017 | 721995 | 1139548 |
WX 84 | 11/18/2016 | 2/13/2017 | 721996 | 1139549 |
WX 85 | 11/18/2016 | 2/13/2017 | 721997 | 1139550 |
WX 86 | 11/18/2016 | 2/13/2017 | 721998 | 1139551 |
WX 87 | 11/18/2016 | 2/13/2017 | 721999 | 1139552 |
WX 88 | 11/18/2016 | 2/13/2017 | 722000 | 1139553 |
WX 89 | 11/18/2016 | 2/13/2017 | 722001 | 1139554 |
Gold Standard Ventures | Appendix C Page 27 of 43 |
County Claim Name | Location Date | Recorded | Document No. | BLM NMC No. |
WX 90 | 11/18/2016 | 2/13/2017 | 722002 | 1139555 |
WX 91 | 11/18/2016 | 2/13/2017 | 722003 | 1139556 |
WX 92 | 11/18/2016 | 2/13/2017 | 722004 | 1139557 |
WX 93 | 11/18/2016 | 2/13/2017 | 722005 | 1139558 |
WX 94 | 11/18/2016 | 2/13/2017 | 722006 | 1139559 |
WX 95 | 11/18/2016 | 2/13/2017 | 722007 | 1139560 |
WX 96 | 11/18/2016 | 2/13/2017 | 722008 | 1139561 |
WX 97 | 11/18/2016 | 2/13/2017 | 722009 | 1139562 |
WX 98 | 11/18/2016 | 2/13/2017 | 722010 | 1139563 |
WX 99 | 11/18/2016 | 2/13/2017 | 722011 | 1139564 |
WX 100 | 11/18/2016 | 2/13/2017 | 722012 | 1139565 |
WX 101 | 11/18/2016 | 2/13/2017 | 722013 | 1139566 |
WX 102 | 11/18/2016 | 2/13/2017 | 722014 | 1139567 |
WX 103 | 11/18/2016 | 2/13/2017 | 722015 | 1139568 |
WX 104 | 11/18/2016 | 2/13/2017 | 722016 | 1139569 |
WX 105 | 11/18/2016 | 2/13/2017 | 722017 | 1139570 |
WX 106 | 11/18/2016 | 2/13/2017 | 722018 | 1139571 |
WX 107 | 11/18/2016 | 2/13/2017 | 722019 | 1139572 |
WX 108 | 11/18/2016 | 2/13/2017 | 722020 | 1139573 |
WX 109 | 11/18/2016 | 2/13/2017 | 722021 | 1139574 |
WX 110 | 11/18/2016 | 2/13/2017 | 722022 | 1139575 |
WX 111 | 11/18/2016 | 2/13/2017 | 722023 | 1139576 |
WX 112 | 11/18/2016 | 2/13/2017 | 722024 | 1139577 |
WX 113 | 11/20/2016 | 2/13/2017 | 722025 | 1139578 |
WX 114 | 11/20/2016 | 2/13/2017 | 722026 | 1139579 |
WX 115 | 11/20/2016 | 2/13/2017 | 722027 | 1139580 |
WX 116 | 11/20/2016 | 2/13/2017 | 722028 | 1139581 |
WX 117 | 11/20/2016 | 2/13/2017 | 722029 | 1139582 |
WX 118 | 11/20/2016 | 2/13/2017 | 722030 | 1139583 |
WX 119 | 11/20/2016 | 2/13/2017 | 722031 | 1139584 |
WX 120 | 11/20/2016 | 2/13/2017 | 722032 | 1139585 |
WX 121 | 11/20/2016 | 2/13/2017 | 722033 | 1139586 |
WX 122 | 11/20/2016 | 2/13/2017 | 722034 | 1139587 |
WX 123 | 11/20/2016 | 2/13/2017 | 722035 | 1139588 |
WX 124 | 11/20/2016 | 2/13/2017 | 722036 | 1139589 |
WX 125 | 11/20/2016 | 2/13/2017 | 722037 | 1139590 |
WX 126 | 11/20/2016 | 2/13/2017 | 722038 | 1139591 |
WX 127 | 12/1/2016 | 2/13/2017 | 722039 | 1139592 |
WX 128 | 12/1/2016 | 2/13/2017 | 722040 | 1139593 |
WX 129 | 12/1/2016 | 2/13/2017 | 722041 | 1139594 |
WX 130 | 12/1/2016 | 2/13/2017 | 722042 | 1139595 |
WX 131 | 12/1/2016 | 2/13/2017 | 722043 | 1139596 |
WX 132 | 12/1/2016 | 2/13/2017 | 722044 | 1139597 |
WX 133 | 12/1/2016 | 2/13/2017 | 722045 | 1139598 |
WX 134 | 12/1/2016 | 2/13/2017 | 722046 | 1139599 |
WX 135 | 12/1/2016 | 2/13/2017 | 722047 | 1139600 |
WX 136 | 12/1/2016 | 2/13/2017 | 722048 | 1139601 |
WX 137 | 12/1/2016 | 2/13/2017 | 722049 | 1139602 |
Gold Standard Ventures | Appendix C Page 28 of 43 |
County Claim Name | Location Date | Recorded | Document No. | BLM NMC No. |
WX 138 | 12/1/2016 | 2/13/2017 | 722050 | 1139603 |
WX 139 | 12/1/2016 | 2/13/2017 | 722051 | 1139604 |
WX 140 | 12/1/2016 | 2/13/2017 | 722052 | 1139605 |
WX 141 | 12/1/2016 | 2/13/2017 | 722053 | 1139606 |
WX 142 | 12/1/2016 | 2/13/2017 | 722054 | 1139607 |
WX 143 | 12/1/2016 | 2/13/2017 | 722055 | 1139608 |
WX 144 | 12/1/2016 | 2/13/2017 | 722056 | 1139609 |
WX 145 | 12/1/2016 | 2/13/2017 | 722057 | 1139610 |
WX 146 | 12/1/2016 | 2/13/2017 | 722058 | 1139611 |
WX 147 | 12/1/2016 | 2/13/2017 | 722059 | 1139612 |
WX 148 | 12/1/2016 | 2/13/2017 | 722060 | 1139613 |
WX 149 | 12/1/2016 | 2/13/2017 | 722061 | 1139614 |
WX 150 | 12/1/2016 | 2/13/2017 | 722062 | 1139615 |
WX 151 | 12/1/2016 | 2/13/2017 | 722063 | 1139616 |
WX 152 | 12/1/2016 | 2/13/2017 | 722064 | 1139617 |
WX 153 | 12/1/2016 | 2/13/2017 | 722065 | 1139618 |
WX 154 | 12/1/2016 | 2/13/2017 | 722066 | 1139619 |
WX 155 | 12/1/2016 | 2/13/2017 | 722067 | 1139620 |
WX 156 | 12/1/2016 | 2/13/2017 | 722068 | 1139621 |
Claim Name | NMC # |
PBX 1 | 1139714 |
PBX 2 | 1139715 |
PBX 3 | 1139716 |
PBX 4 | 1139717 |
PBX 5 | 1139718 |
PBX 6 | 1139719 |
PBX 7 | 1139720 |
PBX 8 | 1139721 |
PBX 9 | 1139722 |
PBX 10 | 1139723 |
PBX 11 | 1139724 |
PBX 12 | 1139725 |
PBX 13 | 1139726 |
PBX 14 | 1139727 |
PBX 15 | 1139728 |
PBX 16 | 1139729 |
PBX 17 | 1139730 |
PBX 18 | 1139731 |
PBX 19 | 1139732 |
PBX 20 | 1139733 |
PBX 21 | 1139734 |
PBX 22 | 1139735 |
PBX 23 | 1139736 |
Gold Standard Ventures | Appendix C Page 29 of 43 |
Claim Name | NMC # |
PBX 24 | 1139737 |
PBX 25 | 1139738 |
PBX 26 | 1139739 |
PBX 27 | 1139740 |
PBX 28 | 1139741 |
PBX 29 | 1139742 |
PBX 30 | 1139743 |
PBX 31 | 1139744 |
PBX 32 | 1139745 |
PBX 33 | 1139746 |
PBX 34 | 1139747 |
PBX 35 | 1139748 |
PBX 36 | 1139749 |
PBX 37 | 1139750 |
PBX 38 | 1139751 |
PBX 39 | 1139752 |
PBX 40 | 1139753 |
PBX 41 | 1139754 |
PBX 42 | 1139755 |
PBX 43 | 1139756 |
PBX 44 | 1139757 |
PBX 45 | 1139758 |
PBX 46 | 1139759 |
PBX 47 | 1139760 |
PBX 48 | 1139761 |
PBX 49 | 1139762 |
PBX 50 | 1139763 |
PBX 51 | 1139764 |
PBX 52 | 1139765 |
PBX 53 | 1139766 |
PBX 54 | 1139767 |
PBX 55 | 1139768 |
PBX 56 | 1139769 |
PBX 57 | 1139770 |
PBX 58 | 1139771 |
PBX 59 | 1139772 |
PBX 60 | 1139773 |
PBX 61 | 1139774 |
PBX 62 | 1139775 |
PBX 63 | 1139776 |
PBX 64 | 1139777 |
PBX 65 | 1139778 |
Gold Standard Ventures | Appendix C Page 30 of 43 |
Claim Name | NMC # |
PBX 66 | 1139779 |
PBX 67 | 1139780 |
PBX 68 | 1139781 |
PBX 69 | 1139782 |
PBX 70 | 1139783 |
PBX 71 | 1139784 |
PBX 72 | 1139785 |
PBX 73 | 1139786 |
PBX 74 | 1139787 |
PBX 75 | 1139788 |
PBX 76 | 1139789 |
PBX 77 | 1139790 |
PBX 78 | 1139791 |
PBX 79 | 1139792 |
PBX 80 | 1139793 |
PBX 81 | 1139794 |
PBX 82 | 1139795 |
PBX 83 | 1139796 |
PBX 84 | 1139797 |
PBX 85 | 1139798 |
PBX 86 | 1139799 |
PBX 87 | 1139800 |
PBX 88 | 1139801 |
PBX 89 | 1139802 |
PBX 90 | 1139803 |
PBX 91 | 1139804 |
PBX 92 | 1139805 |
PBX 93 | 1139806 |
PBX 94 | 1139807 |
PBX 95 | 1139808 |
PBX 96 | 1139809 |
PBX 97 | 1139810 |
PBX 98 | 1139811 |
PBX 99 | 1139812 |
PBX 100 | 1139813 |
PBX 101 | 1139814 |
PBX 102 | 1139815 |
PBX 103 | 1139816 |
PBX 104 | 1139817 |
PBX 105 | 1139818 |
PBX 106 | 1139819 |
PBX 107 | 1139820 |
Gold Standard Ventures | Appendix C Page 31 of 43 |
Claim Name | NMC # |
PBX 108 | 1139821 |
PBX 109 | 1139822 |
PBX 110 | 1139823 |
PBX 111 | 1139824 |
PBX 112 | 1139825 |
PBX 113 | 1139826 |
PBX 114 | 1139827 |
PBX 115 | 1139828 |
PBX 116 | 1139829 |
PBX 117 | 1139830 |
PBX 118 | 1139831 |
PBX 119 | 1139832 |
PBX 120 | 1139833 |
PBX 121 | 1139834 |
PBX 122 | 1139835 |
PBX 123 | 1139836 |
PBX 124 | 1139837 |
PBX 125 | 1139838 |
PBX 126 | 1139839 |
PBX 127 | 1139840 |
PBX 128 | 1139841 |
PBX 129 | 1139842 |
PBX 130 | 1139843 |
PBX 131 | 1139844 |
PBX 132 | 1139845 |
PBX 133 | 1139846 |
PBX 134 | 1139847 |
PBX 135 | 1139848 |
PBX 136 | 1139849 |
PBX 137 | 1139850 |
PBX 138 | 1139851 |
PBX 139 | 1139852 |
PBX 140 | 1139853 |
PBX 141 | 1139854 |
PBX 142 | 1139855 |
PBX 143 | 1139856 |
PBX 144 | 1139857 |
PBX 145 | 1139858 |
PBX 146 | 1139859 |
PBX 147 | 1139860 |
PBX 148 | 1139861 |
PBX 149 | 1139862 |
Gold Standard Ventures | Appendix C Page 32 of 43 |
Claim Name | NMC # |
PBX 150 | 1139863 |
PBX 151 | 1139864 |
PBX 152 | 1139865 |
PBX 153 | 1139866 |
PBX 154 | 1139867 |
PBX 155 | 1139868 |
PBX 156 | 1139869 |
PBX 157 | 1139870 |
PBX 158 | 1139871 |
PBX 159 | 1139872 |
PBX 160 | 1139873 |
PBX 161 | 1139874 |
PBX 162 | 1139875 |
PBX 163 | 1139876 |
PBX 164 | 1139877 |
PBX 165 | 1139878 |
PBX 166 | 1139879 |
PBX 167 | 1139880 |
| | | County | BLM |
Count | Claim Name | Location Date | Recording Date | Document No. | NMC No. |
1 | PBG 1 | 3/14/2017 | 6/5/2017 | 725624 | 1144005 |
2 | PBG 2 | 3/14/2017 | 6/5/2017 | 725625 | 1144006 |
3 | PBG 3 | 3/14/2017 | 6/5/2017 | 725626 | 1144007 |
4 | PBG 4 | 3/14/2017 | 6/5/2017 | 725627 | 1144008 |
5 | PBG 5 | 3/14/2017 | 6/5/2017 | 725628 | 1144009 |
6 | PBG 6 | 3/14/2017 | 6/5/2017 | 725629 | 1144010 |
7 | PBG 7 | 3/14/2017 | 6/5/2017 | 725630 | 1144011 |
8 | PBG 8 | 3/14/2017 | 6/5/2017 | 725631 | 1144012 |
9 | PBG 9 | 3/14/2017 | 6/5/2017 | 725632 | 1144013 |
10 | PBG 10 | 3/14/2017 | 6/5/2017 | 725633 | 1144014 |
11 | PBG 11 | 3/14/2017 | 6/5/2017 | 725634 | 1144015 |
12 | PBG 12 | 3/14/2017 | 6/5/2017 | 725635 | 1144016 |
13 | PBG 13 | 3/21/2017 | 6/5/2017 | 725636 | 1144017 |
14 | PBG 14 | 3/21/2017 | 6/5/2017 | 725637 | 1144018 |
15 | PBG 15 | 3/21/2017 | 6/5/2017 | 725638 | 1144019 |
16 | PBG 16 | 3/21/2017 | 6/5/2017 | 725639 | 1144020 |
17 | PBG 17 | 3/21/2017 | 6/5/2017 | 725640 | 1144021 |
18 | PBG 18 | 3/25/2017 | 6/5/2017 | 725641 | 1144022 |
19 | PBG 19 | 3/25/2017 | 6/5/2017 | 725642 | 1144023 |
Gold Standard Ventures | Appendix C Page 33 of 43 |
| | | County | BLM |
Count | Claim Name | Location Date | Recording Date | Document No. | NMC No. |
20 | PBG 20 | 3/25/2017 | 6/5/2017 | 725643 | 1144024 |
21 | PBG 21 | 3/25/2017 | 6/5/2017 | 725644 | 1144025 |
22 | PBG 22 | 3/25/2017 | 6/5/2017 | 725645 | 1144026 |
23 | PBG 23 | 3/25/2017 | 6/5/2017 | 725646 | 1144027 |
24 | PBG 24 | 3/25/2017 | 6/5/2017 | 725647 | 1144028 |
25 | PBG 25 | 3/21/2017 | 6/5/2017 | 725648 | 1144029 |
26 | PBG 26 | 3/21/2017 | 6/5/2017 | 725649 | 1144030 |
27 | PBG 27 | 3/21/2017 | 6/5/2017 | 725650 | 1144031 |
28 | PBG 28 | 3/21/2017 | 6/5/2017 | 725651 | 1144032 |
29 | PBG 29 | 3/21/2017 | 6/5/2017 | 725652 | 1144033 |
30 | PBG 30 | 3/21/2017 | 6/5/2017 | 725653 | 1144034 |
31 | PBG 31 | 3/21/2017 | 6/5/2017 | 725654 | 1144035 |
32 | PBG 32 | 3/25/2017 | 6/5/2017 | 725655 | 1144036 |
33 | PBG 33 | 3/25/2017 | 6/5/2017 | 725656 | 1144037 |
34 | PBG 34 | 3/25/2017 | 6/5/2017 | 725657 | 1144038 |
35 | PBG 35 | 3/25/2017 | 6/5/2017 | 725658 | 1144039 |
36 | PBG 36 | 3/25/2017 | 6/5/2017 | 725659 | 1144040 |
37 | PBG 37 | 3/25/2017 | 6/5/2017 | 725660 | 1144041 |
38 | PBG 38 | 3/25/2017 | 6/5/2017 | 725661 | 1144042 |
39 | PBG 39 | 3/25/2017 | 6/5/2017 | 725662 | 1144043 |
40 | PBG 40 | 3/25/2017 | 6/5/2017 | 725663 | 1144044 |
41 | PBG 41 | 3/25/2017 | 6/5/2017 | 725664 | 1144045 |
42 | PBG 42 | 3/25/2017 | 6/5/2017 | 725665 | 1144046 |
43 | PBG 43 | 3/25/2017 | 6/5/2017 | 725666 | 1144047 |
44 | PBG 44 | 3/25/2017 | 6/5/2017 | 725667 | 1144048 |
45 | PBG 45 | 3/25/2017 | 6/5/2017 | 725668 | 1144049 |
46 | PBG 46 | 3/22/2017 | 6/5/2017 | 725669 | 1144050 |
47 | PBG 47 | 3/22/2017 | 6/5/2017 | 725670 | 1144051 |
48 | PBG 48 | 3/22/2017 | 6/5/2017 | 725671 | 1144052 |
49 | PBG 49 | 3/22/2017 | 6/5/2017 | 725672 | 1144053 |
50 | PBG 50 | 3/22/2017 | 6/5/2017 | 725673 | 1144054 |
51 | PBG 51 | 3/22/2017 | 6/5/2017 | 725674 | 1144055 |
52 | PBG 52 | 3/22/2017 | 6/5/2017 | 725675 | 1144056 |
53 | PBG 53 | 3/22/2017 | 6/5/2017 | 725676 | 1144057 |
54 | PBG 54 | 3/22/2017 | 6/5/2017 | 725677 | 1144058 |
55 | PBG 55 | 3/22/2017 | 6/5/2017 | 725678 | 1144059 |
56 | PBG 56 | 3/22/2017 | 6/5/2017 | 725679 | 1144060 |
Gold Standard Ventures | Appendix C Page 34 of 43 |
| | | County | BLM |
Count | Claim Name | Location Date | Recording Date | Document No. | NMC No. |
57 | PBG 57 | 3/22/2017 | 6/5/2017 | 725680 | 1144061 |
58 | PBG 58 | 3/22/2017 | 6/5/2017 | 725681 | 1144062 |
59 | PBG 59 | 3/22/2017 | 6/5/2017 | 725682 | 1144063 |
60 | PBG 60 | 3/22/2017 | 6/5/2017 | 725683 | 1144064 |
61 | PBG 61 | 3/22/2017 | 6/5/2017 | 725684 | 1144065 |
62 | PBG 62 | 3/22/2017 | 6/5/2017 | 725685 | 1144066 |
63 | PBG 63 | 3/22/2017 | 6/5/2017 | 725686 | 1144067 |
64 | PBG 64 | 3/22/2017 | 6/5/2017 | 725687 | 1144068 |
65 | PBG 65 | 3/22/2017 | 6/5/2017 | 725688 | 1144069 |
66 | PBG 66 | 3/22/2017 | 6/5/2017 | 725689 | 1144070 |
67 | PBG 67 | 3/22/2017 | 6/5/2017 | 725690 | 1144071 |
68 | PBG 68 | 3/22/2017 | 6/5/2017 | 725691 | 1144072 |
69 | PBG 69 | 3/22/2017 | 6/5/2017 | 725692 | 1144073 |
70 | PBG 70 | 3/22/2017 | 6/5/2017 | 725693 | 1144074 |
71 | PBG 71 | 3/22/2017 | 6/5/2017 | 725694 | 1144075 |
72 | PBG 72 | 3/22/2017 | 6/5/2017 | 725695 | 1144076 |
73 | PBG 73 | 3/22/2017 | 6/5/2017 | 725696 | 1144077 |
74 | PBG 74 | 3/22/2017 | 6/5/2017 | 725697 | 1144078 |
75 | PBG 75 | 3/22/2017 | 6/5/2017 | 725698 | 1144079 |
76 | PBG 76 | 3/22/2017 | 6/5/2017 | 725699 | 1144080 |
77 | PBG 77 | 3/22/2017 | 6/5/2017 | 725700 | 1144081 |
78 | PBG 78 | 3/22/2017 | 6/5/2017 | 725701 | 1144082 |
79 | PBG 79 | 3/22/2017 | 6/5/2017 | 725702 | 1144083 |
80 | PBG 80 | 3/22/2017 | 6/5/2017 | 725703 | 1144084 |
81 | PBG 81 | 3/22/2017 | 6/5/2017 | 725704 | 1144085 |
82 | PBG 82 | 3/22/2017 | 6/5/2017 | 725705 | 1144086 |
83 | PBG 83 | 3/15/2017 | 6/5/2017 | 725706 | 1144087 |
84 | PBG 84 | 3/15/2017 | 6/5/2017 | 725707 | 1144088 |
85 | PBG 85 | 3/15/2017 | 6/5/2017 | 725708 | 1144089 |
86 | PBG 86 | 3/15/2017 | 6/5/2017 | 725709 | 1144090 |
87 | PBG 87 | 3/15/2017 | 6/5/2017 | 725710 | 1144091 |
88 | PBG 88 | 3/15/2017 | 6/5/2017 | 725711 | 1144092 |
89 | PBG 89 | 3/15/2017 | 6/5/2017 | 725712 | 1144093 |
90 | PBG 90 | 3/15/2017 | 6/5/2017 | 725713 | 1144094 |
91 | PBG 91 | 3/15/2017 | 6/5/2017 | 725714 | 1144095 |
92 | PBG 92 | 3/15/2017 | 6/5/2017 | 725715 | 1144096 |
93 | PBG 93 | 3/15/2017 | 6/5/2017 | 725716 | 1144097 |
Gold Standard Ventures | Appendix C Page 35 of 43 |
| | | County | BLM |
Count | Claim Name | Location Date | Recording Date | Document No. | NMC No. |
94 | PBG 94 | 3/15/2017 | 6/5/2017 | 725717 | 1144098 |
95 | PBG 95 | 3/15/2017 | 6/5/2017 | 725718 | 1144099 |
96 | PBG 96 | 3/15/2017 | 6/5/2017 | 725719 | 1144100 |
97 | PBG 97 | 3/15/2017 | 6/5/2017 | 725720 | 1144101 |
98 | PBG 98 | 3/15/2017 | 6/5/2017 | 725721 | 1144102 |
99 | PBG 99 | 3/15/2017 | 6/5/2017 | 725722 | 1144103 |
100 | PBG 100 | 3/15/2017 | 6/5/2017 | 725723 | 1144104 |
101 | PBG 101 | 3/15/2017 | 6/5/2017 | 725724 | 1144105 |
102 | PBG 102 | 3/15/2017 | 6/5/2017 | 725725 | 1144106 |
103 | PBG 103 | 3/15/2017 | 6/5/2017 | 725726 | 1144107 |
104 | PBG 104 | 3/15/2017 | 6/5/2017 | 725727 | 1144108 |
105 | PBG 105 | 3/15/2017 | 6/5/2017 | 725728 | 1144109 |
106 | PBG 106 | 3/15/2017 | 6/5/2017 | 725729 | 1144110 |
107 | PBG 107 | 3/15/2017 | 6/5/2017 | 725730 | 1144111 |
108 | PBG 108 | 3/15/2017 | 6/5/2017 | 725731 | 1144112 |
109 | PBG 109 | 3/15/2017 | 6/5/2017 | 725732 | 1144113 |
110 | PBG 110 | 3/15/2017 | 6/5/2017 | 725733 | 1144114 |
111 | PBG 111 | 3/15/2017 | 6/5/2017 | 725734 | 1144115 |
112 | PBG 112 | 3/15/2017 | 6/5/2017 | 725735 | 1144116 |
113 | PBG 113 | 3/15/2017 | 6/5/2017 | 725736 | 1144117 |
114 | PBG 114 | 3/15/2017 | 6/5/2017 | 725737 | 1144118 |
115 | PBG 115 | 3/15/2017 | 6/5/2017 | 725738 | 1144119 |
116 | PBG 116 | 3/15/2017 | 6/5/2017 | 725739 | 1144120 |
117 | PBG 117 | 3/15/2017 | 6/5/2017 | 725740 | 1144121 |
118 | PBG 118 | 3/15/2017 | 6/5/2017 | 725741 | 1144122 |
119 | PBG 119 | 3/15/2017 | 6/5/2017 | 725742 | 1144123 |
120 | PBG 120 | 3/15/2017 | 6/5/2017 | 725743 | 1144124 |
121 | PBG 121 | 3/15/2017 | 6/5/2017 | 725744 | 1144125 |
122 | PBG 122 | 3/15/2017 | 6/5/2017 | 725745 | 1144126 |
123 | PBG 123 | 3/15/2017 | 6/5/2017 | 725746 | 1144127 |
124 | PBG 124 | 3/20/2017 | 6/5/2017 | 725747 | 1144128 |
125 | PBG 125 | 3/20/2017 | 6/5/2017 | 725748 | 1144129 |
126 | PBG 126 | 3/20/2017 | 6/5/2017 | 725749 | 1144130 |
127 | PBG 127 | 3/20/2017 | 6/5/2017 | 725750 | 1144131 |
128 | PBG 128 | 3/20/2017 | 6/5/2017 | 725751 | 1144132 |
129 | PBG 129 | 3/20/2017 | 6/5/2017 | 725752 | 1144133 |
130 | PBG 130 | 3/20/2017 | 6/5/2017 | 725753 | 1144134 |
Gold Standard Ventures | Appendix C Page 36 of 43 |
| | | County | BLM |
Count | Claim Name | Location Date | Recording Date | Document No. | NMC No. |
131 | PBG 131 | 3/20/2017 | 6/5/2017 | 725754 | 1144135 |
132 | PBG 132 | 3/20/2017 | 6/5/2017 | 725755 | 1144136 |
133 | PBG 133 | 3/20/2017 | 6/5/2017 | 725756 | 1144137 |
134 | PBG 134 | 3/20/2017 | 6/5/2017 | 725757 | 1144138 |
135 | PBG 135 | 3/20/2017 | 6/5/2017 | 725758 | 1144139 |
136 | PBG 136 | 3/20/2017 | 6/5/2017 | 725759 | 1144140 |
137 | PBG 137 | 3/20/2017 | 6/5/2017 | 725760 | 1144141 |
138 | PBG 138 | 3/20/2017 | 6/5/2017 | 725761 | 1144142 |
139 | PBG 139 | 3/20/2017 | 6/5/2017 | 725762 | 1144143 |
140 | PBG 140 | 3/20/2017 | 6/5/2017 | 725763 | 1144144 |
141 | PBG 141 | 3/20/2017 | 6/5/2017 | 725764 | 1144145 |
142 | PBG 142 | 3/20/2017 | 6/5/2017 | 725765 | 1144146 |
143 | PBG 143 | 3/20/2017 | 6/5/2017 | 725766 | 1144147 |
144 | PBG 144 | 3/20/2017 | 6/5/2017 | 725767 | 1144148 |
145 | PBG 145 | 3/20/2017 | 6/5/2017 | 725768 | 1144149 |
146 | PBG 146 | 3/20/2017 | 6/5/2017 | 725769 | 1144150 |
147 | PBG 147 | 3/20/2017 | 6/5/2017 | 725770 | 1144151 |
148 | PBG 148 | 3/20/2017 | 6/5/2017 | 725771 | 1144152 |
149 | PBG 149 | 3/20/2017 | 6/5/2017 | 725772 | 1144153 |
150 | PBG 150 | 3/20/2017 | 6/5/2017 | 725773 | 1144154 |
151 | PBG 151 | 3/20/2017 | 6/5/2017 | 725774 | 1144155 |
152 | PBG 152 | 3/20/2017 | 6/5/2017 | 725775 | 1144156 |
153 | PBG 153 | 3/20/2017 | 6/5/2017 | 725776 | 1144157 |
154 | PBG 154 | 3/20/2017 | 6/5/2017 | 725777 | 1144158 |
155 | PBG 155 | 7/9/2017 | 9/26/017 | 730923 | 1149827 |
156 | PBG 156 | 7/9/2017 | 9/26/017 | 730924 | 1149828 |
157 | PBG 157 | 7/9/2017 | 9/26/017 | 730925 | 1149829 |
158 | PBG 158 | 7/9/2017 | 9/26/017 | 730926 | 1149830 |
159 | PBG 159 | 10/18/2017 | 1/10/2018 | 735553 | 1163261 |
160 | PBG 160 | 10/18/2017 | 1/10/2018 | 735554 | 1163262 |
161 | PBG 161 | 10/18/2017 | 1/10/2018 | 735555 | 1163263 |
162 | PBG 162 | 10/18/2017 | 1/10/2018 | 735556 | 1163264 |
163 | PBG 163 | 10/18/2017 | 1/10/2018 | 735557 | 1163265 |
164 | PBG 164 | 5/14/2018 | 8/8/2018 | 744728 | 1177559 |
165 | PBG 165 | 5/14/2018 | 8/8/2018 | 744729 | 1177560 |
166 | PBG 166 | 5/14/2018 | 8/8/2018 | 744730 | 1177561 |
167 | PBG 167 | 5/14/2018 | 8/8/2018 | 744731 | 1177562 |
168 | PBG 168 | 5/14/2018 | 8/8/2018 | 744732 | 1177563 |
169 | PBG 169 | 5/14/2018 | 8/8/2018 | 744733 | 1177564 |
Gold Standard Ventures | Appendix C Page 37 of 43 |
Unpatented Lode Claims Leased by Gold Standard
Elko County, Nevada, Mount Diablo Base and Meridian
North Railroad Portion of the Property
Claim Name | NMC # | County |
Book/Page | Document # |
GUTSY 1203 | 399864 | 553/106 | 226058 |
GUTSY 1204 | 399865 | 553/107 | 226059 |
GUTSY 1205 | 399866 | 553/108 | 226060 |
GUTSY 1206 | 399867 | 553/109 | 226061 |
GUTSY 1207 | 399868 | 553/110 | 226062 |
GUTSY 1208 | 399869 | 553/111 | 226063 |
GUTSY 1209 | 399870 | 553/112 | 226064 |
GUTSY 1210 | 399871 | 553/113 | 226065 |
GUTSY 1211 | 399872 | 553/114 | 226066 |
GUTSY 1212 | 399873 | 553/115 | 226067 |
GUTSY 1213 | 399874 | 553/116 | 226068 |
GUTSY 1214 | 399875 | 553/117 | 226069 |
GUTSY 1215 | 399876 | 553/118 | 226070 |
GUTSY 1216 | 399877 | 553/119 | 226071 |
GUTSY 1217 | 399878 | 553/120 | 226072 |
GUTSY 1218 | 399879 | 553/121 | 226073 |
GUTSY 1219 | 399880 | 553/122 | 226074 |
GUTSY 1220 | 399881 | 553/123 | 226075 |
GUTSY 1221 | 399882 | 553/124 | 226076 |
GUTSY 1222 | 399883 | 553/125 | 226077 |
GUTSY 1223 | 399884 | 553/126 | 226078 |
GUTSY 1224 | 399885 | 553/127 | 226079 |
GUTSY 1225 | 399886 | 553/128 | 226080 |
GUTSY 1226 | 399887 | 553/129 | 226081 |
GUTSY 1227 | 399888 | 553/130 | 226082 |
GUTSY 1228 | 399889 | 553/131 | 226083 |
GUTSY 1229 | 399890 | 553/132 | 226084 |
GUTSY 1230 | 399891 | 553/133 | 226085 |
GUTSY 1231 | 399892 | 553/134 | 226086 |
GUTSY 1232 | 399893 | 553/135 | 226087 |
GUTSY 1233 | 399894 | 553/136 | 226088 |
GUTSY 1234 | 399895 | 553/137 | 226089 |
GUTSY 1235 | 399896 | 553/138 | 226090 |
GUTSY 1236 | 399897 | 553/139 | 226091 |
GUTSY 1237 | 399898 | 553/140 | 226092 |
Gold Standard Ventures | Appendix C Page 38 of 43 |
Claim Name | NMC # | County |
Book/Page | Document # |
GUTSY 1238 | 399899 | 553/141 | 226093 |
GUTSY 1239 | 399900 | 553/142 | 226094 |
GUTSY 1240 | 399901 | 553/143 | 226095 |
GUTSY 1241 | 399902 | 553/144 | 226096 |
GUTSY 1242 | 399903 | 553/145 | 226097 |
GUTSY 1243 | 399904 | 553/146 | 226098 |
GUTSY 1244 | 399905 | 553/147 | 226099 |
GUTSY 1245 | 399906 | 553/148 | 226100 |
GUTSY 1246 | 399907 | 553/149 | 226101 |
GUTSY 1247 | 399908 | 553/150 | 226102 |
GUTSY 1248 | 399909 | 553/151 | 226103 |
GUTSY 1249 | 399910 | 553/152 | 226104 |
GUTSY 1250 | 399911 | 553/153 | 226105 |
GUTSY 1251 | 399912 | 553/154 | 226106 |
GUTSY 1252 | 399913 | 553/155 | 226107 |
GUTSY 1253 | 399914 | 553/156 | 226108 |
GUTSY 1254 | 399915 | 553/157 | 226109 |
GUTSY 1255 | 399916 | 553/158 | 226110 |
GUTSY 1256 | 399917 | 553/159 | 226111 |
GUTSY 1257 | 399918 | 553/160 | 226112 |
GUTSY 1258 | 399919 | 553/161 | 226113 |
GUTSY 1259 | 399920 | 553/162 | 226114 |
GUTSY 1260 | 399921 | 553/163 | 226115 |
GUTSY 1261 | 399922 | 553/164 | 226116 |
GUTSY 1262 | 399923 | 553/165 | 226117 |
GUTSY 1263 | 399924 | 553/166 | 226118 |
GUTSY 1264 | 399925 | 553/167 | 226119 |
GUTSY 1265 | 399926 | 553/168 | 226120 |
GUTSY 1266 | 399927 | 553/169 | 226121 |
GUTSY 1267 | 399928 | 553/170 | 226122 |
GUTSY 1268 | 399929 | 553/171 | 226123 |
GUTSY 1269 | 399930 | 553/172 | 226124 |
GUTSY 1270 | 399931 | 553/173 | 226125 |
GUTSY 1271 | 399932 | 553/174 | 226126 |
GUTSY 1272 | 399933 | 553/175 | 226127 |
GUTSY 1273 | 399934 | 553/176 | 226128 |
GUTSY 1274 | 399935 | 553/177 | 226129 |
Gold Standard Ventures | Appendix C Page 39 of 43 |
South Railroad Portion of the Property
Claim Name | NMC # | Book/Page | County Document # |
Joe PP 56 | 898185 | 5/20346 | 534020 |
Joe PP 58 | 898186 | 5/20348 | 534022 |
Joe PP 56A | 1104555 | | 691029 |
Joe PP 58A | 1104556 | | 691030 |
Claim Name | NMC # | Book/Page | County Document # |
DIX 1 | 825914 | | 476602 |
DIX 2 | 825915 | | 476603 |
DIX 3 | 825916 | | 476604 |
DIX 4 | 825917 | | 476605 |
DIX 5 | 825918 | | 476606 |
DIX 6 | 825919 | | 476607 |
DIX 7 | 825920 | | 476608 |
DIX 8 | 825921 | | 476609 |
DIX 9 | 825922 | | 476610 |
DIX 10 | 825923 | | 476611 |
DIX 11 | 825924 | | 476612 |
DIX 12 | 825925 | | 476613 |
DIX 13 | 825926 | | 476614 |
DIX 14 | 825927 | | 476615 |
DIX 15 | 825928 | | 476616 |
DIX 16 | 825929 | | 476617 |
DIX 17 | 825930 | | 476618 |
DIX 18 | 825931 | | 476619 |
DIX 19 | 825932 | | 476620 |
DIX 20 | 825933 | | 476621 |
DIX 21 | 825934 | | 476622 |
DIX 22 | 825935 | | 476623 |
DIX 23 | 825936 | | 476624 |
DIX 24 | 825937 | | 476625 |
DIX 25 | 825938 | | 476626 |
DIX 26 | 825939 | | 476627 |
DIX 27 | 825940 | | 476628 |
DIX 28 | 825941 | | 476629 |
DIX 29 | 825942 | | 476630 |
DIX 30 | 825943 | | 476631 |
DIX 31 | 825944 | | 476632 |
DIX 32 | 825945 | | 476633 |
DIX 33 | 825946 | | 476634 |
WMH 131 | 831193 | | 487250 |
WMH 132 | 831194 | | 487251 |
WMH 133 | 831195 | | 487252 |
WMH 134 | 831196 | | 487253 |
WMH 135 | 831197 | | 487254 |
Gold Standard Ventures | Appendix C Page 40 of 43 |
Claim Name | NMC # | Book/Page | County Document # |
WMH 136 | 831198 | | 487255 |
WMH 137 | 831199 | | 487256 |
WMH 138 | 831200 | | 487257 |
WMH 139 | 831201 | | 487258 |
WMH 140 | 831202 | | 487259 |
WMH 141 | 831203 | | 487260 |
WMH 142 | 831204 | | 487261 |
WMH 143 | 831205 | | 487262 |
WMH 144 | 831206 | | 487263 |
WMH 145 | 831207 | | 487264 |
WMH 146 | 831208 | | 487265 |
WMH 147 | 831209 | | 487266 |
WMH 148 | 831210 | | 487267 |
WMH 151 | 831211 | | 487268 |
WMH 152 | 831212 | | 487269 |
WMH 153 | 831213 | | 487270 |
WMH 154 | 831214 | | 487271 |
WMH 155 | 831215 | | 487272 |
WMH 156 | 831216 | | 487273 |
WMH 157 | 831217 | | 487274 |
WMH 158 | 831218 | | 487275 |
WMH 159 | 831219 | | 487276 |
WMH 160 | 831220 | | 487277 |
WMH 161 | 831221 | | 487278 |
WMH 162 | 831222 | | 487279 |
WMH 163 | 831223 | | 487280 |
WMH 164 | 831224 | | 487281 |
WMH 165 | 831225 | | 487282 |
WMH 166 | 831226 | | 487283 |
WMH 167 | 831227 | | 487284 |
WMH 168 | 831228 | | 487285 |
TF 1 | 831229 | | 487286 |
TF 2 | 831230 | | 487287 |
TF 3 | 831231 | | 487288 |
TF 4 | 831232 | | 487289 |
TF 5 | 831233 | | 487290 |
TF 6 | 831234 | | 487291 |
TF 7 | 831235 | | 487292 |
TF 8 | 831236 | | 487293 |
TF 9 | 831237 | | 487294 |
TF 10 | 831238 | | 487295 |
TF 11 | 831239 | | 487296 |
TF 12 | 831240 | | 487297 |
TF 13 | 831241 | | 487298 |
TF 14 | 831242 | | 487299 |
TF 15 | 831243 | | 487300 |
TF 16 | 831244 | | 487301 |
TF 17 | 831245 | | 487302 |
Gold Standard Ventures | Appendix C Page 41 of 43 |
Claim Name | NMC # | Book/Page | County Document # |
TF 18 | 831246 | | 487303 |
TF 19 | 831247 | | 487304 |
TF 20 | 831248 | | 487305 |
TF 21 | 831249 | | 487306 |
TF 22 | 831250 | | 487307 |
TF 23 | 831251 | | 487308 |
TF 24 | 831252 | | 487309 |
TF 25 | 831253 | | 487310 |
TF 26 | 831254 | | 487311 |
TF 27 | 831255 | | 487312 |
TF 28 | 831256 | | 487313 |
TF 29 | 831257 | | 487314 |
TF 30 | 831258 | | 487315 |
TF 31 | 831259 | | 487316 |
TF 32 | 831260 | | 487317 |
TF 33 | 831261 | | 487318 |
TF 34 | 831262 | | 487319 |
TF 35 | 831263 | | 487320 |
TF 36 | 831264 | | 487321 |
Calavera 6 | 276106 | | 179214 |
Calavera 21 | 276121 | | 179229 |
Claim Name | Location Date | Recorded | County Document No. | BLM No. |
WMH 9 | 9/8/2001 | 12/5/2001 | 477034 | NMC826307 |
WMH 10 | 9/8/2001 | 12/5/2001 | 477035 | NMC826308 |
WMH 11 | 9/8/2001 | 12/5/2001 | 477036 | NMC826309 |
WMH 12 | 9/8/2001 | 12/5/2001 | 477037 | NMC826310 |
WMH 13 | 9/8/2001 | 12/5/2001 | 477038 | NMC826311 |
WMH 14 | 9/8/2001 | 12/5/2001 | 477039 | NMC826312 |
WMH 17 | 9/8/2001 | 12/5/2001 | 477042 | NMC826315 |
WMH 19 | 9/8/2001 | 12/5/2001 | 477044 | NMC826317 |
WMH 31 | 9/8/2001 | 12/5/2001 | 477046 | NMC826319 |
WMH 32 | 9/8/2001 | 12/5/2001 | 477047 | NMC826320 |
WMH 33 | 9/8/2001 | 12/5/2001 | 477048 | NMC826321 |
WMH 34 | 9/8/2001 | 12/5/2001 | 477049 | NMC826322 |
WMH 38 | 9/8/2001 | 12/5/2001 | 477053 | NMC826326 |
WMH 40 | 9/8/2001 | 12/5/2001 | 477055 | NMC826328 |
Gold Standard Ventures | Appendix C Page 42 of 43 |
| | County | BLM |
Claim Name | Location Date | Recording Date | Document No. | NMC No. |
Pine 1 | 6/9/2006 | 8/3/2006 | 557790 | 932037 |
Pine 2 | 6/9/2006 | 8/3/2006 | 557791 | 932038 |
Pine 3 | 6/9/2006 | 8/3/2006 | 557792 | 932039 |
Pine 4 | 6/9/2006 | 8/3/2006 | 557793 | 932040 |
Pine 5 | 6/9/2006 | 8/3/2006 | 557794 | 932041 |
Pine 6 | 6/9/2006 | 8/3/2006 | 557795 | 932042 |
Pine 7 | 6/9/2006 | 8/3/2006 | 557796 | 932043 |
Pine 8 | 6/9/2006 | 8/3/2006 | 557797 | 932044 |
Pine 9 | 6/9/2006 | 8/3/2006 | 557798 | 932045 |
Pine 10 | 6/9/2006 | 8/3/2006 | 557799 | 932046 |
Gold Standard Ventures | Appendix C Page 43 of 43 |
South Railroad Project Form 43-101F1 Technical Report – Feasibility Study |
APPENDIX C – BREAKDOWN OF MINERAL RESOURCES BY AREA AND OXIDATION STATE
| M3-PN185074 14 March 2022 Revision 1 | C-1 |
Resource Tabulations
Dark Star Measured Oxide
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 8,345,000 | 0.03 | 229,000 |
0.002 | 7,274,000 | 0.03 | 228,000 |
0.003 | 6,202,000 | 0.04 | 225,000 |
0.004 | 5,590,000 | 0.04 | 223,000 |
0.005 | 5,255,000 | 0.04 | 222,000 |
0.006 | 5,040,000 | 0.04 | 221,000 |
0.007 | 4,864,000 | 0.05 | 219,000 |
0.008 | 4,665,000 | 0.05 | 218,000 |
0.009 | 4,464,000 | 0.05 | 216,000 |
0.010 | 4,310,000 | 0.05 | 215,000 |
0.015 | 3,493,000 | 0.06 | 205,000 |
0.020 | 2,913,000 | 0.07 | 195,000 |
0.025 | 2,482,000 | 0.07 | 185,000 |
0.030 | 2,178,000 | 0.08 | 177,000 |
0.035 | 1,954,000 | 0.09 | 169,000 |
0.040 | 1,765,000 | 0.09 | 162,000 |
0.045 | 1,618,000 | 0.10 | 156,000 |
0.050 | 1,479,000 | 0.10 | 150,000 |
0.075 | 930,000 | 0.12 | 116,000 |
0.100 | 635,000 | 0.14 | 90,000 |
Dark Star Measured Transitional
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 5,781,000 | 0.01 | 73,000 |
0.002 | 4,652,000 | 0.02 | 72,000 |
0.003 | 3,583,000 | 0.02 | 69,000 |
0.004 | 3,035,000 | 0.02 | 67,000 |
0.005 | 2,709,000 | 0.02 | 66,000 |
0.006 | 2,428,000 | 0.03 | 64,000 |
0.007 | 2,237,000 | 0.03 | 63,000 |
0.008 | 2,056,000 | 0.03 | 62,000 |
0.009 | 1,953,000 | 0.03 | 61,000 |
0.010 | 1,762,000 | 0.03 | 59,000 |
0.015 | 1,137,000 | 0.05 | 51,000 |
0.020 | 831,000 | 0.06 | 46,000 |
0.025 | 666,000 | 0.06 | 43,000 |
0.030 | 562,000 | 0.07 | 40,000 |
0.035 | 461,000 | 0.08 | 37,000 |
0.040 | 423,000 | 0.08 | 35,000 |
0.045 | 373,000 | 0.09 | 33,000 |
0.050 | 337,000 | 0.09 | 31,000 |
0.075 | 199,000 | 0.11 | 23,000 |
0.100 | 117,000 | 0.14 | 16,000 |
Mine Development Associates | Appendix C Page 1 of 10 |
Dark Star Indicated Oxide
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 23,778,000 | 0.02 | 390,000 |
0.002 | 20,546,000 | 0.02 | 384,000 |
0.003 | 17,824,000 | 0.02 | 378,000 |
0.004 | 15,679,000 | 0.02 | 370,000 |
0.005 | 14,328,000 | 0.03 | 364,000 |
0.006 | 13,195,000 | 0.03 | 358,000 |
0.007 | 12,337,000 | 0.03 | 353,000 |
0.008 | 11,596,000 | 0.03 | 347,000 |
0.009 | 10,931,000 | 0.03 | 341,000 |
0.010 | 10,366,000 | 0.03 | 336,000 |
0.015 | 7,647,000 | 0.04 | 303,000 |
0.020 | 5,634,000 | 0.05 | 268,000 |
0.025 | 4,268,000 | 0.06 | 237,000 |
0.030 | 3,378,000 | 0.06 | 213,000 |
0.035 | 2,714,000 | 0.07 | 191,000 |
0.040 | 2,291,000 | 0.08 | 176,000 |
0.045 | 1,937,000 | 0.08 | 161,000 |
0.050 | 1,675,000 | 0.09 | 148,000 |
0.075 | 878,000 | 0.11 | 100,000 |
0.100 | 526,000 | 0.13 | 70,000 |
Dark Star Indicated Transitional
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 20,968,000 | 0.01 | 252,000 |
0.002 | 18,046,000 | 0.01 | 247,000 |
0.003 | 15,520,000 | 0.02 | 242,000 |
0.004 | 13,698,000 | 0.02 | 236,000 |
0.005 | 12,410,000 | 0.02 | 230,000 |
0.006 | 11,356,000 | 0.02 | 224,000 |
0.007 | 10,492,000 | 0.02 | 218,000 |
0.008 | 9,619,000 | 0.02 | 212,000 |
0.009 | 8,928,000 | 0.02 | 206,000 |
0.010 | 8,188,000 | 0.02 | 199,000 |
0.015 | 4,876,000 | 0.03 | 158,000 |
0.020 | 2,982,000 | 0.04 | 126,000 |
0.025 | 2,009,000 | 0.05 | 104,000 |
0.030 | 1,482,000 | 0.06 | 90,000 |
0.035 | 1,159,000 | 0.07 | 79,000 |
0.040 | 900,000 | 0.08 | 69,000 |
0.045 | 752,000 | 0.08 | 63,000 |
0.050 | 637,000 | 0.09 | 58,000 |
0.075 | 353,000 | 0.12 | 41,000 |
0.100 | 233,000 | 0.13 | 30,000 |
Dark Star Indicated Refractory
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 3,220,000 | 0.02 | 59,000 |
0.002 | 2,862,000 | 0.02 | 58,000 |
0.003 | 2,451,000 | 0.02 | 57,000 |
0.004 | 2,144,000 | 0.03 | 56,000 |
0.005 | 1,970,000 | 0.03 | 56,000 |
0.006 | 1,791,000 | 0.03 | 55,000 |
0.007 | 1,670,000 | 0.03 | 54,000 |
0.008 | 1,559,000 | 0.03 | 53,000 |
0.009 | 1,461,000 | 0.04 | 52,000 |
0.010 | 1,364,000 | 0.04 | 51,000 |
0.015 | 920,000 | 0.05 | 46,000 |
0.020 | 692,000 | 0.06 | 42,000 |
0.025 | 575,000 | 0.07 | 39,000 |
0.030 | 517,000 | 0.07 | 38,000 |
0.035 | 442,000 | 0.08 | 35,000 |
0.040 | 375,000 | 0.09 | 33,000 |
0.045 | 343,000 | 0.09 | 31,000 |
0.050 | 311,000 | 0.10 | 30,000 |
0.075 | 206,000 | 0.11 | 24,000 |
0.100 | 131,000 | 0.13 | 17,000 |
Mine Development Associates | Appendix C Page 2 of 10 |
Dark Star Inferred Oxide - Open Pit
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 1,221,000 | 0.01 | 9,000 |
0.002 | 630,000 | 0.01 | 8,000 |
0.003 | 551,000 | 0.01 | 8,000 |
0.004 | 484,000 | 0.02 | 7,000 |
0.005 | 439,000 | 0.02 | 7,000 |
0.006 | 384,000 | 0.02 | 7,000 |
0.007 | 338,000 | 0.02 | 7,000 |
0.008 | 314,000 | 0.02 | 6,000 |
0.009 | 278,000 | 0.02 | 6,000 |
0.010 | 250,000 | 0.02 | 6,000 |
0.015 | 165,000 | 0.03 | 5,000 |
0.020 | 125,000 | 0.03 | 4,000 |
0.025 | 74,000 | 0.04 | 3,000 |
0.030 | 51,000 | 0.05 | 2,000 |
0.035 | 35,000 | 0.05 | 2,000 |
0.040 | 32,000 | 0.05 | 2,000 |
0.045 | 25,000 | 0.06 | 1,000 |
0.050 | 21,000 | 0.06 | 1,000 |
0.075 | - | 0.00 | - |
0.100 | - | 0.00 | - |
Dark Star Inferred Transitional - Open Pit
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 2,171,000 | 0.007 | 15,000 |
0.002 | 1,387,000 | 0.010 | 14,000 |
0.003 | 1,080,000 | 0.012 | 13,000 |
0.004 | 968,000 | 0.013 | 13,000 |
0.005 | 853,000 | 0.014 | 12,000 |
0.006 | 773,000 | 0.015 | 12,000 |
0.007 | 705,000 | 0.016 | 11,000 |
0.008 | 643,000 | 0.017 | 11,000 |
0.009 | 592,000 | 0.018 | 10,000 |
0.010 | 533,000 | 0.018 | 10,000 |
0.015 | 330,000 | 0.022 | 7,000 |
0.010 | 533,000 | 0.018 | 10,000 |
0.025 | 78,000 | 0.036 | 3,000 |
0.030 | 52,000 | 0.041 | 2,000 |
0.035 | 29,000 | 0.049 | 1,000 |
0.040 | 15,000 | 0.059 | 1,000 |
0.045 | 15,000 | 0.059 | 1,000 |
0.050 | 13,000 | 0.061 | 1,000 |
0.075 | 2,000 | 0.078 | - |
0.100 | - | 0.000 | - |
Dark Star Inferred Refractory - Open Pit
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 258,000 | 0.01 | 2,000 |
0.002 | 161,000 | 0.01 | 2,000 |
0.003 | 153,000 | 0.02 | 2,000 |
0.004 | 145,000 | 0.02 | 2,000 |
0.005 | 133,000 | 0.02 | 2,000 |
0.006 | 124,000 | 0.02 | 2,000 |
0.007 | 109,000 | 0.02 | 2,000 |
0.008 | 96,000 | 0.02 | 2,000 |
0.009 | 92,000 | 0.02 | 2,000 |
0.010 | 81,000 | 0.02 | 2,000 |
0.015 | 54,000 | 0.03 | 2,000 |
0.020 | 32,000 | 0.04 | 1,000 |
0.025 | 26,000 | 0.04 | 1,000 |
0.030 | 15,000 | 0.05 | 1,000 |
0.035 | 11,000 | 0.05 | 1,000 |
0.040 | 7,000 | 0.06 | - |
0.045 | 4,000 | 0.07 | - |
0.050 | 4,000 | 0.07 | - |
0.075 | - | 0.00 | - |
0.100 | - | 0.00 | - |
Mine Development Associates | Appendix C Page 3 of 10 |
Pinion Measured Oxide - Open Pit
Cutoff | | | | | |
oz Au/ton | Tons | oz Au/ton | oz Au | oz Ag/ton | oz Ag |
0.001 | 2,738,000 | 0.019 | 53,000 | 0.17 | 467,000 |
0.002 | 2,624,000 | 0.020 | 52,000 | 0.18 | 465,000 |
0.003 | 2,545,000 | 0.021 | 52,000 | 0.18 | 463,000 |
0.004 | 2,475,000 | 0.021 | 52,000 | 0.18 | 457,000 |
0.005 | 2,409,000 | 0.022 | 52,000 | 0.19 | 453,000 |
0.006 | 2,298,000 | 0.022 | 51,000 | 0.19 | 443,000 |
0.007 | 2,187,000 | 0.023 | 50,000 | 0.20 | 433,000 |
0.008 | 2,046,000 | 0.024 | 49,000 | 0.20 | 415,000 |
0.009 | 1,908,000 | 0.025 | 48,000 | 0.21 | 395,000 |
0.010 | 1,803,000 | 0.026 | 47,000 | 0.21 | 382,000 |
0.015 | 1,293,000 | 0.032 | 41,000 | 0.24 | 306,000 |
0.020 | 897,000 | 0.038 | 34,000 | 0.25 | 227,000 |
0.025 | 614,000 | 0.045 | 28,000 | 0.26 | 161,000 |
0.030 | 465,000 | 0.051 | 24,000 | 0.27 | 124,000 |
0.035 | 341,000 | 0.058 | 20,000 | 0.27 | 92,000 |
0.040 | 252,000 | 0.065 | 16,000 | 0.29 | 73,000 |
0.045 | 198,000 | 0.071 | 14,000 | 0.28 | 55,000 |
0.050 | 164,000 | 0.076 | 12,000 | 0.29 | 47,000 |
Pinion Measured Transitional - Open Pit
Cutoff | | | | | |
oz Au/ton | Tons | oz Au/ton | oz Au | oz Ag/ton | oz Ag |
0.001 | 212,000 | 0.014 | 3,000 | 0.17 | 37,000 |
0.002 | 188,000 | 0.016 | 3,000 | 0.19 | 36,000 |
0.003 | 177,000 | 0.017 | 3,000 | 0.20 | 36,000 |
0.004 | 175,000 | 0.017 | 3,000 | 0.20 | 36,000 |
0.005 | 166,000 | 0.018 | 3,000 | 0.21 | 35,000 |
0.006 | 147,000 | 0.019 | 3,000 | 0.22 | 32,000 |
0.007 | 133,000 | 0.020 | 3,000 | 0.22 | 29,000 |
0.008 | 126,000 | 0.021 | 3,000 | 0.20 | 25,000 |
0.009 | 115,000 | 0.022 | 3,000 | 0.20 | 23,000 |
0.010 | 108,000 | 0.023 | 2,000 | 0.21 | 22,000 |
0.015 | 68,000 | 0.030 | 2,000 | 0.20 | 13,000 |
0.020 | 49,000 | 0.034 | 2,000 | 0.20 | 10,000 |
0.025 | 40,000 | 0.037 | 1,000 | 0.22 | 9,000 |
0.030 | 36,000 | 0.038 | 1,000 | 0.24 | 9,000 |
0.035 | 19,000 | 0.045 | 1,000 | 0.29 | 6,000 |
0.040 | 9,000 | 0.051 | - | 0.33 | 3,000 |
0.045 | 5,000 | 0.061 | - | 0.29 | 1,000 |
0.050 | 3,000 | 0.074 | - | 0.31 | 1,000 |
Mine Development Associates | Appendix C Page 4 of 10 |
Pinion Indicated Oxide - Open Pit
Cutoff | | | | | |
oz Au/ton | Tons | oz Au/ton | oz Au | oz Ag/ton | oz Ag |
0.001 | 57,814,000 | 0.014 | 827,000 | 0.12 | 6,787,000 |
0.002 | 52,986,000 | 0.016 | 821,000 | 0.13 | 6,724,000 |
0.003 | 49,301,000 | 0.016 | 809,000 | 0.13 | 6,631,000 |
0.004 | 46,139,000 | 0.017 | 798,000 | 0.14 | 6,501,000 |
0.005 | 43,478,000 | 0.018 | 787,000 | 0.15 | 6,370,000 |
0.006 | 41,014,000 | 0.019 | 775,000 | 0.15 | 6,222,000 |
0.007 | 38,627,000 | 0.020 | 757,000 | 0.16 | 6,065,000 |
0.008 | 36,138,000 | 0.021 | 741,000 | 0.16 | 5,858,000 |
0.009 | 33,634,000 | 0.021 | 720,000 | 0.17 | 5,617,000 |
0.010 | 31,232,000 | 0.022 | 696,000 | 0.17 | 5,381,000 |
0.015 | 21,038,000 | 0.027 | 570,000 | 0.19 | 4,092,000 |
0.020 | 13,390,000 | 0.033 | 438,000 | 0.21 | 2,849,000 |
0.025 | 8,392,000 | 0.039 | 326,000 | 0.23 | 1,924,000 |
0.030 | 5,411,000 | 0.045 | 245,000 | 0.24 | 1,323,000 |
0.035 | 3,649,000 | 0.052 | 188,000 | 0.25 | 917,000 |
0.040 | 2,434,000 | 0.059 | 143,000 | 0.26 | 621,000 |
0.045 | 1,735,000 | 0.065 | 113,000 | 0.26 | 452,000 |
0.050 | 1,305,000 | 0.071 | 93,000 | 0.26 | 337,000 |
Pinion Indicated Transitional - Open Pit
Cutoff | | | | | |
oz Au/ton | Tons | oz Au/ton | oz Au | oz Ag/ton | oz Ag |
0.001 | 3,116,000 | 0.010 | 32,000 | 0.10 | 297,000 |
0.002 | 2,673,000 | 0.012 | 32,000 | 0.11 | 288,000 |
0.003 | 2,379,000 | 0.013 | 31,000 | 0.12 | 276,000 |
0.004 | 2,132,000 | 0.014 | 30,000 | 0.12 | 263,000 |
0.005 | 1,930,000 | 0.015 | 29,000 | 0.13 | 247,000 |
0.006 | 1,763,000 | 0.016 | 28,000 | 0.13 | 233,000 |
0.007 | 1,606,000 | 0.017 | 27,000 | 0.14 | 217,000 |
0.008 | 1,439,000 | 0.018 | 26,000 | 0.14 | 200,000 |
0.009 | 1,298,000 | 0.019 | 25,000 | 0.14 | 180,000 |
0.010 | 1,168,000 | 0.020 | 24,000 | 0.14 | 167,000 |
0.015 | 718,000 | 0.025 | 18,000 | 0.15 | 109,000 |
0.020 | 451,000 | 0.030 | 13,000 | 0.14 | 64,000 |
0.025 | 248,000 | 0.036 | 9,000 | 0.12 | 31,000 |
0.030 | 173,000 | 0.040 | 7,000 | 0.13 | 22,000 |
0.035 | 99,000 | 0.046 | 5,000 | 0.12 | 11,000 |
0.040 | 46,000 | 0.056 | 3,000 | 0.11 | 5,000 |
0.045 | 33,000 | 0.062 | 2,000 | 0.11 | 4,000 |
0.050 | 24,000 | 0.067 | 2,000 | 0.08 | 2,000 |
Mine Development Associates | Appendix C Page 5 of 10 |
Pinion Inferred Oxide - Open Pit
Cutoff | | | | | |
oz Au/ton | Tons | oz Au/ton | oz Au | oz Ag/ton | oz Ag |
0.001 | 3,501,000 | 0.005 | 19,000 | 0.03 | 111,000 |
0.002 | 1,950,000 | 0.009 | 17,000 | 0.05 | 100,000 |
0.003 | 1,632,000 | 0.010 | 16,000 | 0.06 | 95,000 |
0.004 | 1,371,000 | 0.011 | 15,000 | 0.06 | 88,000 |
0.005 | 1,191,000 | 0.012 | 14,000 | 0.07 | 82,000 |
0.006 | 1,044,000 | 0.013 | 13,000 | 0.07 | 74,000 |
0.007 | 911,000 | 0.014 | 13,000 | 0.08 | 68,000 |
0.008 | 814,000 | 0.015 | 12,000 | 0.08 | 64,000 |
0.009 | 692,000 | 0.016 | 11,000 | 0.08 | 58,000 |
0.010 | 631,000 | 0.016 | 10,000 | 0.09 | 54,000 |
0.015 | 321,000 | 0.020 | 7,000 | 0.10 | 33,000 |
0.020 | 120,000 | 0.026 | 3,000 | 0.13 | 15,000 |
0.025 | 49,000 | 0.031 | 2,000 | 0.08 | 4,000 |
0.030 | 26,000 | 0.035 | 1,000 | 0.06 | 2,000 |
0.035 | 13,000 | 0.038 | 1,000 | 0.06 | 1,000 |
0.040 | 2,000 | 0.043 | - | 0.06 | - |
0.045 | - | 0.000 | - | 0.00 | - |
0.050 | - | 0.000 | - | 0.00 | - |
Pinion Inferred Transitional - Open Pit
Cutoff | | | | | |
oz Au/ton | Tons | oz Au/ton | oz Au | oz Ag/ton | oz Ag |
0.001 | 364,000 | 0.004 | 1,000 | 0.04 | 14,000 |
0.002 | 208,000 | 0.006 | 1,000 | 0.06 | 13,000 |
0.003 | 150,000 | 0.007 | 1,000 | 0.08 | 12,000 |
0.004 | 120,000 | 0.008 | 1,000 | 0.09 | 11,000 |
0.005 | 108,000 | 0.008 | 1,000 | 0.09 | 10,000 |
0.006 | 98,000 | 0.009 | 1,000 | 0.10 | 9,000 |
0.007 | 73,000 | 0.010 | 1,000 | 0.11 | 8,000 |
0.008 | 63,000 | 0.010 | 1,000 | 0.11 | 7,000 |
0.009 | 46,000 | 0.010 | - | 0.12 | 5,000 |
0.010 | 30,000 | 0.011 | - | 0.13 | 4,000 |
0.015 | - | 0.000 | - | 0.00 | - |
0.020 | - | 0.000 | - | 0.00 | - |
0.025 | - | 0.000 | - | 0.00 | - |
0.030 | - | 0.000 | - | 0.00 | - |
0.035 | - | 0.000 | - | 0.00 | - |
0.040 | - | 0.000 | - | 0.00 | - |
0.045 | - | 0.000 | - | 0.00 | - |
0.050 | - | 0.000 | - | 0.00 | - |
Mine Development Associates | Appendix C Page 6 of 10 |
Jasperoid Wash Inferred Oxide - Open Pit
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 20,264,000 | 0.007 | 148,000 |
0.002 | 19,030,000 | 0.008 | 147,000 |
0.003 | 17,018,000 | 0.008 | 141,000 |
0.004 | 14,554,000 | 0.009 | 132,000 |
0.005 | 12,491,000 | 0.010 | 124,000 |
0.006 | 11,449,000 | 0.010 | 118,000 |
0.007 | 9,377,000 | 0.011 | 104,000 |
0.008 | 6,519,000 | 0.013 | 83,000 |
0.009 | 5,053,000 | 0.014 | 71,000 |
0.010 | 3,818,000 | 0.015 | 59,000 |
0.015 | 1,582,000 | 0.021 | 33,000 |
0.020 | 732,000 | 0.025 | 18,000 |
0.025 | 235,000 | 0.030 | 7,000 |
0.030 | 75,000 | 0.036 | 3,000 |
0.035 | 33,000 | 0.040 | 1,000 |
0.040 | 15,000 | 0.044 | 1,000 |
0.045 | 2,000 | 0.048 | - |
0.050 | - | 0.000 | - |
Jasperoid Wash Inferred Transitional - Open Pit
Cutoff | | | |
oz Au/ton | Tonnes | oz Au/ton | oz Au |
0.001 | 1,336,000 | 0.006 | 8,000 |
0.002 | 1,225,000 | 0.007 | 8,000 |
0.003 | 991,000 | 0.007 | 7,000 |
0.004 | 867,000 | 0.008 | 7,000 |
0.005 | 669,000 | 0.009 | 6,000 |
0.006 | 583,000 | 0.010 | 6,000 |
0.007 | 386,000 | 0.011 | 4,000 |
0.008 | 268,000 | 0.013 | 3,000 |
0.009 | 203,000 | 0.014 | 3,000 |
0.010 | 159,000 | 0.015 | 2,000 |
0.015 | 76,000 | 0.020 | 1,000 |
0.020 | 30,000 | 0.023 | 1,000 |
0.025 | 7,000 | 0.028 | - |
0.030 | 2,000 | 0.031 | - |
0.035 | - | 0.000 | - |
0.040 | - | 0.000 | - |
0.045 | - | 0.000 | - |
0.050 | - | 0.000 | - |
Mine Development Associates | Appendix C Page 7 of 10 |
North Bullion Inferred Oxide - Open Pit
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 394,000 | 0.003 | 1,000 |
0.002 | 256,000 | 0.004 | 1,000 |
0.003 | 151,000 | 0.006 | 1,000 |
0.004 | 109,000 | 0.006 | 1,000 |
0.005 | 74,000 | 0.007 | 1,000 |
0.006 | 50,000 | 0.008 | - |
0.007 | 29,000 | 0.010 | - |
0.008 | 23,000 | 0.010 | - |
0.009 | 17,000 | 0.011 | - |
0.010 | 8,000 | 0.012 | - |
0.015 | 1,000 | 0.016 | - |
0.000 | - | - | - |
0.000 | - | - | - |
0.000 | - | - | - |
0.000 | - | - | - |
0.000 | - | - | - |
0.000 | - | - | - |
0.000 | - | - | - |
0.000 | - | - | - |
North Bullion Inferred Refractory - Open Pit
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 19,836,000 | 0.024 | 482,000 |
0.002 | 15,699,000 | 0.030 | 476,000 |
0.003 | 13,412,000 | 0.035 | 471,000 |
0.004 | 12,603,000 | 0.037 | 468,000 |
0.005 | 12,065,000 | 0.039 | 464,000 |
0.006 | 11,432,000 | 0.040 | 462,000 |
0.007 | 10,694,000 | 0.043 | 457,000 |
0.008 | 9,892,000 | 0.046 | 451,000 |
0.009 | 9,006,000 | 0.049 | 443,000 |
0.010 | 8,140,000 | 0.054 | 436,000 |
0.015 | 5,674,000 | 0.071 | 405,000 |
0.020 | 4,529,000 | 0.085 | 386,000 |
0.025 | 4,050,000 | 0.093 | 375,000 |
0.030 | 3,780,000 | 0.097 | 368,000 |
0.035 | 3,547,000 | 0.102 | 360,000 |
0.040 | 3,350,000 | 0.105 | 353,000 |
0.045 | 3,140,000 | 0.110 | 344,000 |
0.050 | 2,936,000 | 0.114 | 334,000 |
0.100 | 1,100,000 | 0.187 | 206,000 |
North Bullion Inferred Refractory - Underground
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.010 | 504,000 | 0.131 | 66,000 |
0.020 | 504,000 | 0.131 | 66,000 |
0.030 | 504,000 | 0.131 | 66,000 |
0.040 | 504,000 | 0.131 | 66,000 |
0.050 | 504,000 | 0.131 | 66,000 |
0.060 | 504,000 | 0.131 | 66,000 |
0.070 | 504,000 | 0.131 | 66,000 |
0.080 | 504,000 | 0.131 | 66,000 |
0.090 | 504,000 | 0.131 | 66,000 |
0.100 | 504,000 | 0.131 | 66,000 |
0.140 | 130,000 | 0.179 | 23,000 |
0.190 | 38,000 | 0.228 | 9,000 |
0.240 | 10,000 | 0.284 | 3,000 |
0.290 | 4,000 | 0.319 | 1,000 |
0.340 | 1,000 | 0.356 | - |
0.000 | - | 0.000 | - |
0.000 | - | 0.000 | - |
0.000 | - | 0.000 | - |
0.000 | - | 0.000 | - |
0.000 | - | 0.000 | - |
Mine Development Associates | Appendix C Page 8 of 10 |
Sweet Hollow Inferred Oxide - Open Pit
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 5,024,000 | 0.010 | 50,000 |
0.002 | 4,446,000 | 0.011 | 49,000 |
0.003 | 3,981,000 | 0.012 | 48,000 |
0.004 | 3,349,000 | 0.014 | 46,000 |
0.005 | 2,873,000 | 0.015 | 44,000 |
0.006 | 2,599,000 | 0.016 | 42,000 |
0.007 | 2,433,000 | 0.017 | 41,000 |
0.008 | 2,251,000 | 0.018 | 40,000 |
0.009 | 2,057,000 | 0.019 | 38,000 |
0.010 | 1,840,000 | 0.020 | 36,000 |
0.015 | 874,000 | 0.028 | 24,000 |
0.020 | 464,000 | 0.037 | 17,000 |
0.025 | 283,000 | 0.046 | 13,000 |
0.030 | 187,000 | 0.056 | 11,000 |
0.035 | 138,000 | 0.065 | 9,000 |
0.040 | 112,000 | 0.071 | 8,000 |
0.045 | 95,000 | 0.077 | 7,000 |
0.050 | 82,000 | 0.081 | 7,000 |
0.100 | 14,000 | 0.115 | 2,000 |
POD Inferred Oxide - Open Pit
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 1,599,000 | 0.032 | 51,000 |
0.002 | 1,388,000 | 0.037 | 51,000 |
0.003 | 1,280,000 | 0.039 | 50,000 |
0.004 | 1,207,000 | 0.042 | 50,000 |
0.005 | 1,149,000 | 0.044 | 50,000 |
0.006 | 1,101,000 | 0.045 | 50,000 |
0.007 | 1,063,000 | 0.047 | 50,000 |
0.008 | 1,029,000 | 0.048 | 49,000 |
0.009 | 987,000 | 0.050 | 49,000 |
0.010 | 953,000 | 0.051 | 49,000 |
0.015 | 705,000 | 0.064 | 45,000 |
0.020 | 555,000 | 0.077 | 43,000 |
0.025 | 488,000 | 0.085 | 41,000 |
0.030 | 462,000 | 0.088 | 41,000 |
0.035 | 434,000 | 0.092 | 40,000 |
0.040 | 400,000 | 0.096 | 38,000 |
0.045 | 367,000 | 0.101 | 37,000 |
0.050 | 338,000 | 0.106 | 36,000 |
0.100 | 133,000 | 0.160 | 21,000 |
Sweet Hollow Inferred Refractory - Open Pit
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 249,000 | 0.009 | 2,000 |
0.002 | 147,000 | 0.014 | 2,000 |
0.003 | 93,000 | 0.021 | 2,000 |
0.004 | 84,000 | 0.023 | 2,000 |
0.005 | 78,000 | 0.024 | 2,000 |
0.006 | 74,000 | 0.025 | 2,000 |
0.007 | 71,000 | 0.026 | 2,000 |
0.008 | 67,000 | 0.027 | 2,000 |
0.009 | 64,000 | 0.028 | 2,000 |
0.010 | 61,000 | 0.029 | 2,000 |
0.015 | 48,000 | 0.033 | 2,000 |
0.020 | 38,000 | 0.037 | 1,000 |
0.025 | 30,000 | 0.041 | 1,000 |
0.030 | 25,000 | 0.044 | 1,000 |
0.035 | 19,000 | 0.048 | 1,000 |
0.040 | 14,000 | 0.052 | 1,000 |
0.045 | 11,000 | 0.054 | 1,000 |
0.050 | 7,000 | 0.057 | - |
0.000 | - | 0.000 | - |
POD Inferred Refractory - Open Pit
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 688,000 | 0.063 | 43,000 |
0.002 | 647,000 | 0.066 | 43,000 |
0.003 | 610,000 | 0.070 | 43,000 |
0.004 | 583,000 | 0.073 | 43,000 |
0.005 | 567,000 | 0.075 | 43,000 |
0.006 | 556,000 | 0.077 | 43,000 |
0.007 | 547,000 | 0.078 | 43,000 |
0.008 | 540,000 | 0.079 | 43,000 |
0.009 | 533,000 | 0.080 | 43,000 |
0.010 | 525,000 | 0.081 | 42,000 |
0.015 | 459,000 | 0.091 | 42,000 |
0.020 | 418,000 | 0.098 | 41,000 |
0.025 | 400,000 | 0.101 | 40,000 |
0.030 | 390,000 | 0.103 | 40,000 |
0.035 | 375,000 | 0.106 | 40,000 |
0.040 | 344,000 | 0.112 | 39,000 |
0.045 | 310,000 | 0.120 | 37,000 |
0.050 | 286,000 | 0.126 | 36,000 |
0.100 | 159,000 | 0.169 | 27,000 |
Mine Development Associates | Appendix C Page 9 of 10 |
South Lodes Inferred Oxide - Open Pit
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 1,343,000 | 0.011 | 15,000 |
0.002 | 1,204,000 | 0.012 | 14,000 |
0.003 | 1,070,000 | 0.013 | 14,000 |
0.004 | 922,000 | 0.015 | 14,000 |
0.005 | 798,000 | 0.016 | 13,000 |
0.006 | 719,000 | 0.018 | 13,000 |
0.007 | 676,000 | 0.018 | 12,000 |
0.008 | 648,000 | 0.019 | 12,000 |
0.009 | 620,000 | 0.019 | 12,000 |
0.010 | 589,000 | 0.020 | 12,000 |
0.015 | 358,000 | 0.024 | 9,000 |
0.020 | 206,000 | 0.030 | 6,000 |
0.025 | 105,000 | 0.037 | 4,000 |
0.030 | 68,000 | 0.042 | 3,000 |
0.035 | 49,000 | 0.046 | 2,000 |
0.040 | 35,000 | 0.049 | 2,000 |
0.045 | 24,000 | 0.052 | 1,000 |
0.050 | 15,000 | 0.056 | 1,000 |
0.000 | - | 0.000 | - |
South Lodes Inferred Refractory - Open Pit
Cutoff | | | |
oz Au/ton | Tons | oz Au/ton | oz Au |
0.001 | 9,000 | 0.004 | - |
0.002 | 7,000 | 0.005 | - |
0.003 | 4,000 | 0.006 | - |
0.004 | 3,000 | 0.007 | - |
0.005 | 2,000 | 0.009 | - |
0.006 | 1,000 | 0.012 | - |
0.007 | 1,000 | 0.012 | - |
0.008 | 1,000 | 0.014 | - |
0.009 | 1,000 | 0.014 | - |
0.010 | 1,000 | 0.015 | - |
0.015 | - | 0.019 | - |
0.020 | - | 0.023 | - |
0.000 | - | 0.000 | - |
0.000 | - | 0.000 | - |
0.000 | - | 0.000 | - |
0.000 | - | 0.000 | - |
0.000 | - | 0.000 | - |
0.000 | - | 0.000 | - |
0.000 | - | 0.000 | - |
Mine Development Associates | Appendix C Page 10 of 10 |