Exhibit 99.10
Press Release
Total to Develop Artificial Intelligence Solutions
with Google Cloud
Paris, April 24, 2018– Total and Google Cloud have signed an agreement to jointly develop artificial intelligence (A.I.) solutions applied to subsurface data analysis for oil and gas exploration and production.
The agreement focuses on the development of A.I. programs that will make it possible to interpret subsurface images, notably from seismic studies (using Computer Vision technology) and automate the analysis of technical documents (using Natural Language Processing technology). These programs will allow Total’s geologists, geophysicists, reservoir andgeo-information engineers to explore and assess oil & gas fields faster and more effectively.
Under this partnership, Total geoscientists will workside-by-side with Google Cloud’s machine learning experts within the same project team based in Google Cloud’s Advanced Solutions Lab in California.
“Total is convinced that applying artificial intelligence in the oil and gas industry is a promising avenue to be explored for optimizing our performance, particularly in subsurface data interpretation. We are excited to work with Google Cloud towards this goal. This builds on the strategy being developed at Total, where A.I. is already used, for example, in predictive maintenance at facilities,”said Marie-Noëlle Semeria, Senior Vice President, Group CTO at Total.
“We believe that the combination of Total’s geoscience expertise and Google’s artificial intelligence skills will ensure the project’s success. Our ambition is to give our geoscience engineers an A.I. personal assistant in the next few years that will free them up to focus on high value-added tasks.”said Kevin McLachlan, Senior Vice President Exploration for Exploration & Production at Total.
“We are thrilled to welcome Total in our Advanced Solutions Labs for the development of A.I. solutions,”said Paul-Henri Ferrand, President of Global Customer Operations Google Cloud. “We are keen to engage our best A.I. engineers to work with Total’s geosciences’ experts.’’
Artificial Intelligence Applied to Exploration & Production at Total
| • | Total started applying artificial intelligence to characterize oil & gas fields using machine learning algorithms in the 1990s. |
| • | In 2013, Total used machine learning algorithms to implement predictive maintenance for turbines, pumps and compressors at its industrial facilities, thus generating savings of several hundred million dollars. |
| • | Today, Total teams are exploring multiple machine learning and deep learning applications such as production profile forecasting, automated analysis of satellite images or analysis of rock sample images. |
About Total
Total is a global integrated energy producer and provider, a leading international oil and gas company, a major player inlow-carbon energies. Our 98,000 employees are committed to better energy that is safer, cleaner, more efficient, more innovative and accessible to as many people as possible. As a responsible corporate citizen, we focus on ensuring that our operations in more than 130 countries worldwide consistently deliver economic, social and environmental benefits.
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Total contacts
Media Relations: +33 1 47 44 46 99 |presse@total.com | @TotalPress
Investor Relations: +44 (0)207 719 7962 |ir@total.com
Cautionary note
This press release, from which no legal consequences may be drawn, is for information purposes only. The entities in which TOTAL S.A. directly or indirectly owns investments are separate legal entities. TOTAL S.A. has no liability for their acts or omissions. In this document, the terms “Total” and “Total Group” are sometimes used for convenience where general references are made to TOTAL S.A. and/or its subsidiaries. Likewise, the words “we”, “us” and “our” may also be used to refer to subsidiaries in general or to those who work for them.
This document may contain forward-looking information and statements that are based on a number of economic data and assumptions made in a given economic, competitive and regulatory environment. They may prove to be inaccurate in the future and are subject to a number of risk factors. Neither TOTAL S.A. nor any of its subsidiaries assumes any obligation to update publicly any forward-looking information or statement, objectives or trends contained in this document whether as a result of new information, future events or otherwise.