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

Conference proceeding

02/27/2020

Abstract and subjects

Computer Science

Earth Sciences

Energy Sciences

Information Science

Machine learning, reservoir management, multi-physics, site behavior libraries

Mathematics

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Title: Physics-informed Machine Learning for Real-time Unconventional Reservoir Management
Authors/Creators - name: Maruti Kumar Mudunuru
Daniel O'Malley
Shriram Srinivasan
Jeffrey De'Haven Hyman
Matthew Ryan Sweeney
Luke Philip Frash
James William Carey
Michael Robert Gross
Nathan James Welch
Satish Karra
Velimir Valentinov Vesselinov
Qinjun Kang
Hongwu Xu
Rajesh J Pawar
Tim Carr
Liwei Li
George Drake Jr Guthrie
Hari S Viswanathan
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Language: English
Resource Type: Conference proceeding