Topic: Use Machine Learning and Seismic to build Fault Probability Cubes for Structural Models
Anne Dutranois Coumont is a geomodeler specialized in structural modeling and 3D gridding. She obtained her Master of Science in Geology from France (Nancy). After graduation, Anne worked 7 years for Earth Decision and then Paradigm. She did support, testing, product management, training and consulting on Gocad and then SKUA. Anne currently works at Chevron ETC as a Geomodeler and is reaching her 10th year in Chevron. She mostly works at ETC (deploying software and managing research projects). Anne has a special interest in topics linking interpretation and modeling.
Topic: REX on TotalEnergies GAIA Project: How AI could help Seismic Interpretation?
Sebastien is a Senior Specialist in Computer Vision. He has spent nearly 25 years in managing projects in Image Processing and Computer Vision in various domains like Seismic Interpretation Tools (image processing, deep learning), Scientific Visualization (3D visualization, large scale display). Sebastien also collaborated on transverse activities on image processing. Sebastien has extensive experience in team leading, animation of relationships with external service providers and R&D partnerships. He is also author and co-author of many conferences or journal papers and patents. Sebastien has been involved in TotalEnergies GAIA project in collaboration with Google since 2018 and oversaw the data science part of the program dedicated to the development of Machine Learning algorithm for automatic seismic interpretation. Since 2021, Sébastien joined the TotalEnergies R&D team and led the “Computer Vision and A&I” project.