Invention Grant
- Patent Title: Machine learning assisted reservoir simulation
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Application No.: US16291183Application Date: 2019-03-04
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Publication No.: US11295048B2Publication Date: 2022-04-05
- Inventor: Paul Borrel , Matthias Kormaksson , Carmen Nilda Mena Paz
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Otterstedt, Wallace & Kammer, LLP
- Agent Joseph Petrokaitis
- Main IPC: G06F30/20
- IPC: G06F30/20 ; G06N20/00 ; G01V99/00 ; E21B41/00 ; G01V11/00

Abstract:
An embodiment includes a method for use by at least one machine learning classifier. The method comprises the machine learning classifier obtaining one or more recent results from at least one geomechanical simulation; the machine learning classifier comparing the recent results to stored historical data; and, based on the comparing, the machine learning classifier deciding at least one reservoir model for use by at least one reservoir simulation.
Public/Granted literature
- US20190197208A1 MACHINE LEARNING ASSISTED RESERVOIR SIMULATION Public/Granted day:2019-06-27
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