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A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow
  for Commercial-Scale Geologic Carbon Storage
v1v2 (latest)

A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage

International Journal of Greenhouse Gas Control (IJGGC), 2021
9 May 2021
Hewei Tang
P. Fu
C. Sherman
Jize Zhang
X. Ju
Franccois P. Hamon
N. Azzolina
Matthew Burton-Kelly
J. Morris
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage"

6 / 6 papers shown
AI enhanced data assimilation and uncertainty quantification applied to
  Geological Carbon Storage
AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage
G. S. Seabra
N. T. Mücke
Vinicius Luiz Santos Silva
Denis Voskov
F. Vossepoel
AI4CE
188
21
0
09 Feb 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
Hewei Tang
Qingkai Kong
Joseph P. Morris
AI4CE
281
25
0
17 Aug 2023
Learning CO$_2$ plume migration in faulted reservoirs with Graph Neural
  Networks
Learning CO2_22​ plume migration in faulted reservoirs with Graph Neural Networks
X. Ju
Franccois P. Hamon
Gege Wen
Rayan Kanfar
Mauricio Araya-Polo
H. Tchelepi
AI4CE
190
6
0
16 Jun 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
259
3
0
23 Nov 2022
Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure
  Forecasting Based on Data Assimilation Using Surface Displacement from InSAR
Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from InSARSocial Science Research Network (SSRN), 2022
Hewei Tang
P. Fu
H. Jo
Su Jiang
C. Sherman
Franccois P. Hamon
N. Azzolina
Joseph P. Morris
AI4CE
220
31
0
21 Jan 2022
Machine learning-based porosity estimation from spectral decomposed
  seismic data
Machine learning-based porosity estimation from spectral decomposed seismic data
H. Jo
Yongchae Cho
Michael J. Pyrcz
Hewei Tang
P. Fu
136
2
0
23 Nov 2021
1