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Industry Article

Machine learning for predicting stochastic fluid and mineral volumes in complex unconventional reservoirs

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A machine learning workflow can quickly, and accurately, predict mineralogy, porosity and saturation in multiple wells to better understand productive layers in unconventional oil reservoirs.
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Publications

World Oil Journal

Authors

FRED JENSON, CHIRANJITH RANGANATHAN, SHI XIUPING and TED HOLDEN, CGG GeoSoftware

Month

April

Copyright

© 2021 by Gulf Publishing Company