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Bicheng Yan

Assistant Professor, Energy Resources and Petroleum Engineering

Physical Science and Engineering Division 
Center membership :
Ali I. Al-Naimi Petroleum Engineering Research Center

bicheng.yan@kaust.edu.sa
Deep Geo-EnergY & Engineering Modeling Lab (DGYM)


Affiliations

Education Profile

  • Postdoctoral Research Associate, Los Alamos National Lab, 2020-2021
  • Ph.D. Petroleum Engineering, Texas A&M University, 2017
  • M.S. Petroleum Engineering, Texas A&M University, 2013
  • B.S. Petroleum Engineering, China University of Petroleum (Beijing), 2009

Research Interests

Professor Yan's current research interests are physics-driven modeling and data-driven modeling for complex subsurface processes related to energy and environmental domains. He has worked in areas including reservoir simulation, multi-porosity modeling for flow and transport in heterogeneous porous media (mainly shale), integrating physics with data analytics in unconventional field and carbon storage management, history matching and stochastic optimization.

Selected Publications

  • Yan, B., Mi, L., Chai, Z., Wang, Y. et al. 2018. An Enhanced Discrete Fracture Network Model for Multiphase Flow in Fractured Reservoirs. Journal of Petroleum Science and Engineering, Vol 161: 667-682.

  • Yan, B., Mi, L., Wang, Y., Tang, H. etl al. 2018. Multi-Porosity Multi-Physics Compositional Simulation for Gas Storage and Transport in Highly Heterogeneous Shales. Journal of Petroleum Science and Engineering, Vol 160: 498-509.

  • Yan, B., Wang, Y., Killough, J. 2017. A Fully Compositional Model Considering the Effect of Nanopores in Tight Oil Reservoirs. Journal of Petroleum Science and Engineering, Vol 152: 675-682.

  • Yan, B., Alfi, M., An, C., Cao, Y., Wang, Y., Killough, J.E. 2016. General Multi-Porosity Simulation for Fractured Reservoir Modeling. Journal of Natural Gas Science and Engineering, Vol 33: 777-791.

  • Yan, B., Wang, Y., and Killough, J.E. 2015. Beyond Dual-Porosity Modeling for the Simulation of Complex Flow Mechanisms in Shale Reservoirs. Computational Geosciences, Vol 20 (1): 69-91.