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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

15 July 2021
B. Yan
Bailian Chen
D. Harp
R. Pawar
    AI4CE
ArXivPDFHTML

Papers citing "A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods"

12 / 12 papers shown
Title
Physics-informed Partitioned Coupled Neural Operator for Complex
  Networks
Physics-informed Partitioned Coupled Neural Operator for Complex Networks
Weidong Wu
Yong Zhang
Lili Hao
Y. Chen
Xiaoyan Sun
Dunwei Gong
AI4CE
18
0
0
28 Oct 2024
Accelerated training of deep learning surrogate models for surface
  displacement and flow, with application to MCMC-based history matching of CO2
  storage operations
Accelerated training of deep learning surrogate models for surface displacement and flow, with application to MCMC-based history matching of CO2 storage operations
Yifu Han
François P. Hamon
L. Durlofsky
OOD
AI4CE
24
1
0
20 Aug 2024
History Matching for Geological Carbon Storage using Data-Space
  Inversion with Spatio-Temporal Data Parameterization
History Matching for Geological Carbon Storage using Data-Space Inversion with Spatio-Temporal Data Parameterization
Su Jiang
L. Durlofsky
AI4CE
14
10
0
05 Oct 2023
Deep Learning in Deterministic Computational Mechanics
Deep Learning in Deterministic Computational Mechanics
L. Herrmann
Stefan Kollmannsberger
AI4CE
PINN
43
0
0
27 Sep 2023
Multi-fidelity Fourier Neural Operator for Fast Modeling of Large-Scale
  Geological Carbon Storage
Multi-fidelity Fourier Neural Operator for Fast Modeling of Large-Scale Geological Carbon Storage
Hewei Tang
Qingkai Kong
Joseph P. Morris
AI4CE
27
10
0
17 Aug 2023
Machine learning for phase-resolved reconstruction of nonlinear ocean
  wave surface elevations from sparse remote sensing data
Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data
Svenja Ehlers
Marco Klein
Alexander Heinlein
Mathies Wedler
Nicolas Desmars
Norbert Hoffmann
M. Stender
AI4Cl
29
2
0
18 May 2023
SciAI4Industry -- Solving PDEs for industry-scale problems with deep
  learning
SciAI4Industry -- Solving PDEs for industry-scale problems with deep learning
Philipp A. Witte
Russell J. Hewett
K. Saurabh
A. Sojoodi
Ranveer Chandra
AI4CE
13
2
0
23 Nov 2022
Partial Differential Equations Meet Deep Neural Networks: A Survey
Partial Differential Equations Meet Deep Neural Networks: A Survey
Shudong Huang
Wentao Feng
Chenwei Tang
Jiancheng Lv
AI4CE
AIMat
24
17
0
27 Oct 2022
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
Aleksandra Pachalieva
Daniel O’Malley
D. Harp
Hari S. Viswanathan
AI4CE
12
20
0
21 Jun 2022
Model-Parallel Fourier Neural Operators as Learned Surrogates for
  Large-Scale Parametric PDEs
Model-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs
Thomas J. Grady
R. Khan
M. Louboutin
Ziyi Yin
Philipp A. Witte
Ranveer Chandra
Russell J. Hewett
Felix J. Herrmann
AI4CE
18
33
0
04 Apr 2022
A Gradient-based Deep Neural Network Model for Simulating Multiphase
  Flow in Porous Media
A Gradient-based Deep Neural Network Model for Simulating Multiphase Flow in Porous Media
B. Yan
D. Harp
R. Pawar
AI4CE
20
63
0
30 Apr 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
203
2,282
0
18 Oct 2020
1