Data-Driven Prediction of Unconventional Shale-Reservoir Dynamics
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DOI: 10.2118/193904-pa
Abstract: The present work introduces extended dynamic mode decomposition (EDMD) as a suitable data-driven framework for learning the reservoir dynamics entailed by flow/fracture interactions in unconventional shales. The proposed EDMD approach builds on the approximation of… read more here.
Keywords: production data; data driven; reservoir dynamics; unconventional shale ... See more keywords