Bio

Gege Wen is a Ph.D. candidate in the Benson Lab. She obtained her B.S. degree from the Mining Engineering Department at the University of Toronto and an M.S. degree from the Civil and Environmental Engineering Department at Stanford University.

Her Ph.D. research focuses on using deep learning to conduct fast multiphase flow simulation.

Stanford Advisors

Contact

Additional Info

  • Mail Code: 4020

Links

All Publications

  • Towards a predictor for CO2 plume migration using deep neural networks INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL Wen, G., Tang, M., Benson, S. M. 2021; 105

    View details for DOI 10.1016/j.ijggc.2020.103223

  • CO2 plume migration and dissolution in layered reservoirs INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL Wen, G., Benson, S. M. 2019; 87: 66–79

    View details for DOI 10.1016/j.ijggc.2019.05.012

    View details for Web of Science ID 000474239200007

  • Predicting CO2 Plume Migration using Deep Neural Networks ICML 2019 Workshop Wen, G., Tang, M., Benson, S. M. 2019