With the goal to conjointly develop artificial intelligence (A.I.) solutions applied to subsurface data analysis for fuel exploration and production, Total and Google Cloud have entered into an agreement.
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) is the focus of the agreement. Total’s geologists, geophysicists, reservoir and geo-information engineers will be enabled to explore and assess fuel fields faster and more effectively, by these programs.
Total geoscientists, under this partnership, will work side-by-side with Google Cloud’s machine learning experts within the same project team based in Google Cloud’s Advanced Solutions Lab in California.
Marie-Noëlle Semeria, Senior Vice President, Group CTO at Total said that Total is convinced that applying artificial intelligence in the fuel industry is a promising avenue to be explored for optimizing 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.”
Paul-Henri Ferrand, President of Global Customer Operations Google Cloud expressed keenness to engage their best A.I. engineers to work with Total’s geosciences’ experts. “We are thrilled to welcome Total in our Advanced Solutions Labs for the development of A.I. solutions.”
Kevin McLachlan, Senior Vice President Exploration for Exploration & Production at Total, said “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.” PWKD02052018
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