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Physics-informed machine learning with differentiable programming for
  heterogeneous underground reservoir pressure management

Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management

21 June 2022
Aleksandra Pachalieva
Daniel O’Malley
D. Harp
Hari S. Viswanathan
    AI4CE
ArXivPDFHTML

Papers citing "Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management"

2 / 2 papers shown
Title
Computationally Efficient and Error Aware Surrogate Construction for
  Numerical Solutions of Subsurface Flow Through Porous Media
Computationally Efficient and Error Aware Surrogate Construction for Numerical Solutions of Subsurface Flow Through Porous Media
Aleksei G. Sorokin
Aleksandra Pachalieva
Daniel O’Malley
James M. Hyman
F. J. Hickernell
N. W. Hengartner
8
1
0
20 Oct 2023
A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior
  during Geological CO2 Sequestration Injection and Post-Injection Periods
A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods
B. Yan
Bailian Chen
D. Harp
R. Pawar
AI4CE
23
89
0
15 Jul 2021
1