Bicheng Yan, Ph.D.

Faculty

Assistant Professor

Current

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Research Interests

Prof. Yan is interested in developing physics-driven and data-driven predictive models for fluid flow and transport in porous media and applying such predictive models for the management related to subsurface energy and environmental processes.

Selected Publications

  • On the Feasibility of Using Physics-Informed Machine Learning for Underground Reservoir Pressure Management.
    D., Harp, D., O’Malley, B., Yan, R., Pawar
    Expert Systems with Applications, 178, (2021).
  • An Enhanced Discrete Fracture Network Model for Multiphase Flow in Fractured Reservoirs.
    B., Yan, L., Mi, Chai, Z., Y. Wang, J.E., Killough.
    Journal of Petroleum Science and Engineering, 161, 667-682, (2018)
  • Analyzing the Well-Interference Phenomenon in the Eagle Ford Shale/Austin Chalk Production System with a Comprehensive Compositional Reservoir Model.
    H., Tang, B., Yan, Z., Chai, L., Zuo, J.E., Killough, Z., Sun
    SPE Reservoir Evaluation & Engineering, 22(03), 827-841, (2018).
  • Multi-Porosity Multi-Physics Compositional Simulation for Gas Storage and Transport in Highly Heterogeneous Shales.
    B., Yan, L., Mi, Y., Wang, H., Tang, C., An, J.E., Killough
    Journal of Petroleum Science and Engineering, 160, 498-509, (2018).
  • Accelerating Flash Calculation using Compositional Space for Compositional Simulation.
    B., Yan, Y., Wang, H., Nasrabadi, J.E., Killough
    Journal of Petroleum Science and Engineering, 159, 1000-1008, (2017).
  • A Fully Compositional Model Considering the Effect of Nanopores in Tight Oil Reservoirs.
    B., Yan, Y., Wang, J.E., Killough
    Journal of Petroleum Science and Engineering, 152, 675-682, (2017).
  • General Multi-Porosity Simulation for Fractured Reservoir Modeling.
    B., Yan, M., Alfi, C., An, Y., Cao, Y., Wang, J.E., Killough
    Journal of Natural Gas Science and Engineering, 33, 777-791, (2016).
  • Beyond Dual-Porosity Modeling for the Simulation of Complex Flow Mechanisms in Shale Reservoirs.
    B., Yan, Y. Wang, J.E., Killough
    Computational Geoscience, 20(1), 69-91, (2016).

Education

  • Ph.D., Petroleum Eng., Texas A&M University, College Station, U.S., 2017
  • M.Sc, Petroleum Eng., Texas A&M University, College Station, U.S., 2013
  • International Graduate Program, Petroleum Eng., China University of Petroleum (Beijing), China, 2011
  • B.Sc, Petroleum Eng., China University of Petroleum (Beijing), China, 2009

Professional Profile

  • 2021-present: Professor, ANPERC, KAUST, Thuwal, Saudi Arabia
  • 2020-2021: Postdoc Research Associate, Computational Earth Science (EES-16), Los Alamos National Laboratory, Los Alamos, U.S.
  • 2019-2020: Senior Data Scientist, DeepCast LLC, Houston, U.S.
  • 2017-2019: Subsurface Reservoir Engineer & Asset Reservoir Lead & Data Scientist, Sanchez Oil & Gas Corp., Houston, U.S.
  • 2014-2015: Reservoir Simulation Engineer Intern, ConocoPhillips, Houston, U.S.

Scientific and Professional Membership

  • Society of Petroleum Engineer (SPE)
  • American Geophysical Union (AGU)
  • International Society for Porous Media (InterPore)

Awards

  • Best of URTeC 2020 Technical Paper Award (co-authorship with H. Klie and A. Klie from DeepCast LLC)
  • 2016 Technical Editor Award for SPE Journal
  • 2016 Teaching Fellow for Future Faculty by Texas A&M University

KAUST Affiliations

  • Ali I. Al-Naimi Petroleum Engineering Research Center (ANPERC)
  • Division of Physical Science and Engineering (PSE)

Research Interests Keywords

reservoir simulation data analytics Unconventional Reservoirs geologic carbon storage