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
225 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
77 * 2021 CCSNet: a deep learning modeling suite for CO2 storage G Wen, C Hay, S Benson
Advances in Water Resources 155 (104009), 2021
49 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
33 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
29 * 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
7 2022 Learning CO 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
Sally BensonStanford UniversityПотвърден имейл адрес: stanford.edu
