U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow G Wen, Z Li, K Azizzadenesheli, A Anandkumar, SM Benson Advances in Water Resources 163, 104180, 2022 | 228 | 2022 |
Towards a predictor for CO2 plume migration using deep neural networks G Wen, M Tang, SM Benson International Journal of Greenhouse Gas Control 105, 103223, 2021 | 79* | 2021 |
CCSNet: a deep learning modeling suite for CO2 storage G Wen, C Hay, S Benson Advances in Water Resources 155 (104009), 2021 | 50 | 2021 |
Criteria and workflow for selecting depleted hydrocarbon reservoirs for carbon storage C Callas, SD Saltzer, JS Davis, SS Hashemi, AR Kovscek, ER Okoroafor, ... Applied Energy 324, 119668, 2022 | 34 | 2022 |
Real-time high-resolution CO 2 geological storage prediction using nested Fourier neural operators G Wen, Z Li, Q Long, K Azizzadenesheli, A Anandkumar, SM Benson Energy & Environmental Science 16 (4), 1732-1741, 2023 | 30* | 2023 |
CO2 plume migration and dissolution in layered reservoirs G Wen, SM Benson International Journal of Greenhouse Gas Control 87, 66-79, 2019 | 27 | 2019 |
Fast uncertainty quantification of reservoir simulation with variational U-Net L Jin, H Lu, G Wen arXiv preprint arXiv:1907.00718, 2019 | 20 | 2019 |
Deep-Learning-Based Flow Prediction for CO2 Storage in Shale–Sandstone Formations AK Chu, SM Benson, G Wen Energies 16 (1), 246, 2022 | 8 | 2022 |
Learning CO plume migration in faulted reservoirs with Graph Neural Networks X Ju, FP Hamon, G Wen, R Kanfar, M Araya-Polo, HA Tchelepi arXiv preprint arXiv:2306.09648, 2023 | 3 | 2023 |
Optimizing Carbon Storage Operations for Long-Term Safety Y Wang, M Zechner, G Wen, AL Corso, JM Mern, MJ Kochenderfer, ... arXiv preprint arXiv:2304.09352, 2023 | 2 | 2023 |
CCSNet II: an advanced machine learning modeling suite for CO2 storage in anisotropic and heterogeneous media G Wen, S Benson AGU Fall Meeting Abstracts 2021, H33C-04, 2021 | | 2021 |
CCSNet: an end-to-end web application for CO2 storage site management A Chu, G Wen, S Benson AGU Fall Meeting Abstracts 2021, ED45B-0645, 2021 | | 2021 |
CCSNet: A deep learning modeling suite for CO [formula omitted] storage G Wen, C Hay, SM Benson | | 2021 |
Criteria and Workflow for Selecting Saline Formations for Carbon Storage C Callas, JS Davis, SS Hashemi, G Wen, PO Gold, M Zoback, SM Benson, ... Sam S. and Wen, Gege and Gold, Peter O. and Zoback, Mark and Benson, Sally M …, 0 | | |
Predicting CO2 Plume Migration using Deep Neural Networks G Wen, M Tang, SM Benson | | |