Eliis announced that it has entered into a collaboration agreement with Chevron to develop and commercialize advanced artificial intelligence (AI) algorithms for seismic interpretation, subsurface characterization, and modeling.
Chevron has used its expertise in hydrocarbon exploration and production to develop advanced AI algorithms for seismic interpretation, subsurface characterization, and modeling. Eliis has pioneered methods for automated advanced seismic interpretation over the past decade, including PaleoScan, a geoscientific interpretation platform.
Ellis says that, by combining Chevron’s AI models for automated fault detection with Eliis’ global methods for advanced seismic interpretation, the time needed to perform structural interpretation, in all geological settings, can be reduced by orders of magnitude. This technology enables large-scale geological models to be built with a high level of detail and accuracy.
“Combining cutting-edge AI technology, developed and tested by Chevron, with the power of automation in PaleoScan, will offer a complete robust solution to the market for advanced seismic and geological interpretation,” said Francois Laferriere, Eliis’ chief revenue officer. “This could potentially pave the way for a complete automated workflow from seismic to simulation. 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.”
Regarding future advances in this field and the implementation of AI, Lafferriere said, “In the field of geosciences, Eliis views artificial-intelligence outcomes not as ultimate end-products but more as enabling technologies that have to be seamlessly integrated into a wider scientific workflow that includes the ability to perform quality control and refinement to ensure that geoscientists remain in control throughout the entire interpretive process.”