First Operational A.I. Fault Interpretation Study Performed at Total

Summary In 2018, Total in collaboration with Google launched the GAIA project to jointly develop artificial intelligence (A.I.) solutions applied to subsurface data analysis for oil and gas exploration and production. The ambition is to give to Total’s geoscientists an A.I. personal assistant in the next few years that will free them up to focus on high value-added tasks. After one year of partnership, we obtained very encouraging results with the development of an A.I. fault model and proceeded to its deployment in Total’s internal geosciences and reservoir integrated platform, SISMAGE, within a dedicated user interface. In this paper, we present the first operational interpretation study with an A.I. fault model performed by an asset team at Total. The results of this study confirm that A.I. solutions will improve the efficiency of geoscientists and help them to focus on high value-added tasks and improve subsurface understanding.