Gege Wen

According to our database, Gege Wen authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Learning CO₂ plume migration in faulted reservoirs with Graph Neural Networks.

Xin Ju, François P. Hamon, Gege Wen, Rayan Kanfar, Mauricio Araya-Polo, Hamdi A. Tchelepi

CoRR, 2023

Optimizing Carbon Storage Operations for Long-Term Safety.

Yizheng Wang, Markus Zechner, Gege Wen, Anthony Louis Corso, John Michael Mern, Mykel J. Kochenderfer, Jef Karel Caers

CoRR, 2023

2022

Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges.

Feras A. Batarseh, Priya L. Donti, Ján Drgona, Kristen Fletcher, Pierre-Adrien Hanania, Melissa Hatton, Srinivasan Keshav, Bran Knowles, Raphaela Kotsch, Sean McGinnis, Peetak Mitra, Alex Philp, Jim Spohrer, Frank Stein, Meghna Tare, Svitlana Volkov, Gege Wen

CoRR, 2022

Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators.

Gege Wen, Zongyi Li, Qirui Long, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson

CoRR, 2022

2021

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

Gege Wen, Zongyi Li, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson

CoRR, 2021

CCSNet: a deep learning modeling suite for CO₂ storage.

Gege Wen, Catherine Hay, Sally M. Benson

CoRR, 2021

2019

Multiphase flow prediction with deep neural networks.

Gege Wen, Meng Tang, Sally M. Benson

CoRR, 2019