Machine learning assisted workflows to accelerate subsurface interpretation
talk to an expertCloud-accelerated workflows to automate interpretation of subsurface data, reduce time-to-decision making, and increase understanding of uncertainty and risk.
The scalable compute capacity of cloud technology helps reduce time to decision and supports:
Spotlight
The interpretation of faults in 3D seismic data is a critical component of hydrocarbon exploration and development workflows. Faults frequently control factors such as reservoir compartmentalization and fluid migration and may create drilling hazards.
Read spotlightDomain knowledge is preserved within trained models to support consistent interpretation with reduced human bias across datasets. Users can:
Workflows can be optimized through the provision of:
Numerical measures of confidence can be assigned to interpretations allowing areas of greater uncertainty to be easily identified. This can be used to help:
