Bio

Suihong Song collaborates with Professor Tapan Mukerji at the Stanford Center for Earth Resources Forecast (SCERF) as a postdoctoral scholar. His research is centered on integrating machine learning with geosciences, specifically focusing on machine learning-based reservoir characterization and geomodelling, Physics-informed Neural Networks (PINNs) and neural operators as well as their applications in porous flow simulations, neural networks-based surrogate and inversion, decision-making under uncertainty, and machine learning-based geological interpretation of well logs and seismic data. These research endeavors have practical applications in managing underground water resources, oil and gas exploration, geological storage of CO2, and the evaluation of hydrothermal and natural hydrogen, among others.Song proposed GANSim, an abbreviation for Generative Adversarial Networks-based reservoir simulation, which presents a reservoir geomodelling workflow. This innovative approach has been successfully implemented in various 3D field reservoirs by international oil companies, including ExxonMobil.

Honors & Awards

  • Student Travel Grant, IAMG (2019)
  • First-class PhD. Scholarship, China University of Petroleum-Beijing (2017-2021)
  • National Scholarship, Ministry of Education of China (2017)
  • First-class Graduate Scholarship, China University of Petroleum-Beijing (2014-2016)
  • Outstanding Graduate Award, Beijing Municipal Education Commission (2013)

Boards, Advisory Committees, Professional Organizations

  • Associate Editor, Journal of Hydrology (2023 - Present)
  • Session Chair, Annual Conference of International Association of Mathematical Geosciences (IAMG) (2023 - 2023)
  • Journal Review, Water Resources Research, Journal of Hydrology, Geophysics, Computers and Geosciences, Mathematical Geosciences, Computational Geosciences, IEEE TGRS, etc. (2018 - Present)

Professional Education

  • Doctor of Philosophy, China University of Petroleum (2021)
  • Ph.D, China University of Petroleum-Beijing, Geological Resources and Geological Engineering (2021)
  • Visiting Ph.D., Stanford University, Energy Sciences & Engineering (2020)
  • M.Eng., China University of Petroleum-Beijing, Geological Resources and Geological Engineering (2017)
  • B.Eng., China University of Petroleum-Beijing, Petroleum Geology (2013)

Stanford Advisors

Contact

  • Academic
    suihong@stanford.edu
    University - Scholar Department: Department of Energy Science and Engineering Position: Postdoctoral Scholar

Additional Info

  • Mail Code: 2220

All Publications