Bicheng Yan, Ph.D.

Faculty

Assistant Professor

Research Interest

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

  • 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