SYSTEMS AND METHODS FOR MAPPING SEISMIC DATA TO RESERVOIR PROPERTIES FOR RESERVOIR MODELING

Implementations described and claimed herein provide systems and methods for reservoir modeling. In one implementation, an input dataset comprising seismic data is received for a particular subsurface reservoir. Based on the input dataset and utilizing a deep learning computing technique, a pluralit...

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Bibliographische Detailangaben
Hauptverfasser: BRHLIK, Michal, WARDROP, Mark A, ILDSTAD, Charles, BORMANN, Peter, HAKKARINEN, Douglas, GLOVER, David W, JOHNSON, Brock, TIWARI, Upendra K, OSBORNE, Timothy D, PALADINO, Nickolas, OLSEN, Christopher S
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung:Implementations described and claimed herein provide systems and methods for reservoir modeling. In one implementation, an input dataset comprising seismic data is received for a particular subsurface reservoir. Based on the input dataset and utilizing a deep learning computing technique, a plurality of trained reservoir models may be generated based on training data and/or validation information to model the particular subsurface reservoir. From the plurality of trained reservoir models, an optimized reservoir model may be selected based on a comparison of each of the plurality of reservoir models to a dataset of measured subsurface characteristics.