Industry Article
Machine learning for predicting stochastic fluid and mineral volumes in complex unconventional reservoirs
Back to Technical ContentA 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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World Oil JournalAuthors
FRED JENSON, CHIRANJITH RANGANATHAN, SHI XIUPING and TED HOLDEN, CGG GeoSoftware