Geosciences

Chevron, Eliis form AI seismic interpretation/modeling venture

March 26, 2024

Eliis SAS has an agreement with Chevron to jointly develop and commercialize artificial intelligence (AI) algorithms for seismic interpretation, subsurface characterization and modeling.

eliis paleoscan chevron ai seismic interpretation

Offshore staff

MONTPELLIER, France — Eliis SAS has an agreement with Chevron to jointly develop and commercialize artificial intelligence (AI) algorithms for seismic interpretation, subsurface characterization and modeling.

Among Eliis’ technology advances over the past decade in automating seismic interpretation is PaleoScan, a geoscientific interpretation service said to speed up geophysical and geological interpretation workflows. It includes access to algorithms for management, visualization and analysis of subsurface data.

An AI-assisted PaleoScan, using Chevron’s AI models for automated fault extraction, will enable large-scale geological models to be built with increased detail and accuracy, reducing the time required to perform structural interpretation in all geological settings by orders of magnitude.

By combining Chevron’s own AI models for automated fault detection with Eliis’s seismic interpretation, the two companies will seek to reduce the time taken to perform structural interpretation in all geological settings, and to build large-scale geological models with higher levels of detail and accuracy.

“Combining cutting-edge AI technology, developed and tested by Chevron, with the power of automation in PaleoScan, will offer a… solution to the market for advanced seismic and geological interpretation,” said Francois Laferriere, Eliis’s chief revenue officer. “Solutions like this are also crucial for carbon sequestration studies, where comprehensive fault interpretation is a requirement to fully assess a potential storage site’s seal integrity and any associated risk of CO₂ breaching to surface through conductive faults. Our combined approach ensures a level of detail and rigor that could help enable future project success.”

03.26.2024