Sharpen your subsurface understanding
talk to an expertManually interpreting hundreds of wells is time-consuming and introduces inconsistencies through human bias. Now you can speed up the process and obtain consistent lithological prediction across your enterprise with the help of a supervised machine learning (ML) technique offered by Assisted Lithology Interpretation, a DecisionSpace® 365 cloud application.
Trained lithological models & automatic model selection
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Consistency is key
Connected and informed:
Enhance collaboration with shared access to consistent lithology interpretations for thousands of wells and the most current subsurface understanding.
Consistent interpretation:
Use a standardized process for consistent data interpretation across the enterprise with trained models. Leverage custom models trained on your proprietary data and interpretations or choose predefined models.
Our innovative ML technology predicts lithology from wireline responses using trained models that runs hundreds of interpretations via advanced cloud computing. Taking minutes rather than days, this process allows you to rapidly test different interpretations while also integrating interpretation data into your workflows, providing automated updates and changes.
speed is of the essence
Seamless integration:
Seamlessly access your data and save back to OpenWorks® to incorporate Assisted Lithology Interpretation into your workflows. Use custom models trained using proprietary data in DS365.ai, our cloud-native AI platform, for powerful insights at your fingertips.
Rapid interpretation:
Perform algorithm-driven interpretation via advanced computing in the cloud, taking minutes rather than days.
OpenWorks® database connectivity
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Prior & posterior probability
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Advanced technology at your fingertips
Quantifiable confidence limits:
Capture and track uncertainty of lithology predictions throughout the interpretation workflow on a well-by-well basis with numerical measures of confidence down each well section.
Reduce subsurface uncertainty:
Rapidly test multiple scenarios on the same data to aid lithology prediction and reduce subsurface uncertainty.
