| 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 | 280 | 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 | 92* | 2021 |
| CCSNet: a deep learning modeling suite for CO2 storage G Wen, C Hay, S Benson Advances in Water Resources 155 (104009), 2021 | 62 | 2021 |
| 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 | 55* | 2023 |
| 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 | 46 | 2022 |
| CO2 plume migration and dissolution in layered reservoirs G Wen, SM Benson International Journal of Greenhouse Gas Control 87, 66-79, 2019 | 32 | 2019 |
| Fast uncertainty quantification of reservoir simulation with variational U-Net L Jin, H Lu, G Wen arXiv preprint arXiv:1907.00718, 2019 | 21 | 2019 |
| Deep-Learning-Based Flow Prediction for CO2 Storage in Shale–Sandstone Formations AK Chu, SM Benson, G Wen Energies 16 (1), 246, 2022 | 9 | 2022 |
| Learning CO2 plume migration in faulted reservoirs with Graph Neural Networks X Ju, FP Hamon, G Wen, R Kanfar, M Araya-Polo, HA Tchelepi Computers & Geosciences, 105711, 2024 | 7 | 2024 |
| 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 | 1 | 2023 |
| Criteria and workflow for selecting saline formations for carbon storage C Callas, JS Davis, SD Saltzer, SS Hashemi, G Wen, PO Gold, ... International Journal of Greenhouse Gas Control 135, 104138, 2024 | | 2024 |
| 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 |
| Predicting CO2 Plume Migration using Deep Neural Networks G Wen, M Tang, SM Benson | | |
Sally BensonStanford UniversityVerified email at stanford.edu