公开(公告)号：US20220404515A1

公开(公告)日：2022-12-22

申请号：US17842304

申请日：2022-06-16

Applicant: ConocoPhillips Company

Inventor： Christopher S. Olsen ,  Douglas Hakkarinen ,  Michal Brhlik ,  Upendra K. Tiwari ,  Timothy D. Osborne ,  Nickolas Paladino ,  Mark A. Wardrop ,  David W. Glover ,  Brock Johnson ,  Peter Bormann ,  Charles Ildstad

IPC: G01V1/28 ,  G01V1/30 ,  G06N3/08 ,  G01V1/36

Abstract: 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.