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2104.01795
Cited By

CCSNet: a deep learning modeling suite for CO$_2$ storage

CCSNet: a deep learning modeling suite for CO $_2$ storage

5 April 2021

ArXiv (abs)PDF HTML

Papers citing "CCSNet: a deep learning modeling suite for CO$_2$ storage"

12 / 12 papers shown

Feature-Modulated UFNO for Improved Prediction of Multiphase Flow in Porous Media

Feature-Modulated UFNO for Improved Prediction of Multiphase Flow in Porous Media

313

0

0

25 Nov 2025

Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements

Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements

176

0

0

29 Aug 2025

Benchmark Dataset for Pore-Scale CO2-Water Interaction

Benchmark Dataset for Pore-Scale CO2-Water Interaction

250

1

0

22 Mar 2025

Fourier Neural Operator based surrogates for $CO_2$ storage in realistic geologies

Fourier Neural Operator based surrogates for

CO_2

storage in realistic geologies

Anirban Chandra

Aniruddha Panda

Kamyar Azizzadenesheli

...

Clement Etienam

Pandu Devarakota

405

9

0

14 Mar 2025

Efficient and generalizable nested Fourier-DeepONet for
three-dimensional geological carbon sequestration

Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestrationEngineering Applications of Computational Fluid Mechanics (EACFM), 2024

Jonathan E. Lee

Min Zhu

Lu Lu

184

13

0

25 Sep 2024

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 StorageJournal of Hydrology (J Hydrol), 2023

Joseph P. Morris

283

25

0

17 Aug 2023

Graph Convolutional Networks for Simulating Multi-phase Flow and
Transport in Porous Media

Graph Convolutional Networks for Simulating Multi-phase Flow and Transport in Porous Media

174

2

0

10 Jul 2023

Fourier-MIONet: Fourier-enhanced multiple-input neural operators for
multiphase modeling of geological carbon sequestration

Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestrationReliability Engineering & System Safety (Reliab. Eng. Syst. Saf.), 2023

206

82

0

08 Mar 2023

Deep Learning Methods for Partial Differential Equations and Related
Parameter Identification Problems

Deep Learning Methods for Partial Differential Equations and Related Parameter Identification ProblemsInverse Problems (IP), 2022

Derick Nganyu Tanyu

Tom Freudenberg

Nick Heilenkötter

286

57

0

06 Dec 2022

Machine Learning in Heterogeneous Porous Materials

Machine Learning in Heterogeneous Porous Materials

Cedric G. Fraces

L. Graham‐Brady

...

Hari S. Viswanathan

193

11

0

04 Feb 2022

Uncertainty quantification and inverse modeling for subsurface flow in
3D heterogeneous formations using a theory-guided convolutional
encoder-decoder network

Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder networkJournal of Hydrology (J. Hydrol.), 2021

214

21

0

14 Nov 2021

U-FNO -- An enhanced Fourier neural operator-based deep-learning model
for multiphase flow

U-FNO -- An enhanced Fourier neural operator-based deep-learning model for multiphase flow

Kamyar Azizzadenesheli

Anima Anandkumar

417

542

0

03 Sep 2021

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