Physics-informed Machine Learning for Real-time Unconventional Reservoir Management

Conference · Thu Feb 27 00:00:00 EST 2020

OSTI ID:1579690

Mudunuru, Maruti Kumar  ^[1]; O'Malley, Daniel  ^[1]; Srinivasan, Shriram  ^[1]; Hyman, Jeffrey De'Haven  ^[1]; Sweeney, Matthew Ryan  ^[1]; Frash, Luke Philip  ^[1]; Carey, James William  ^[1]; Gross, Michael Robert ^[1]; Welch, Nathan James  ^[1]; Karra, Satish  ^[1]; Vesselinov, Velimir Valentinov  ^[1]; Kang, Qinjun  ^[1]; Xu, Hongwu  ^[1]; Pawar, Rajesh J.  ^[1]; Carr, Tim ^[2]; Li, Liwei ^[2]; Guthrie, George Drake Jr. ^[1]; Viswanathan, Hari S.  ^[1]

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1. Los Alamos National Laboratory
2. West Virginia University

• Research Organization: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: 89233218CNA000001
• OSTI ID: 1579690
• Report Number(s): LA-UR-19-31611
• Resource Relation: Conference: Combining Artificial Intelligence and Machine Learning with Physics Sciences ; 2020-03-23 - 2020-03-25
• Country of Publication: United States
• Language: English

Related Subjects

Computer Science
Earth Sciences
Energy Sciences
Information Science
Mathematics
Machine learning
reservoir management
multi-physics
site behavior libraries