Lawrence Livermore National Laboratory



Mingjie Chen

Research Staff
Physics Division


 +1 925-423-7696


Mingjie Chen
Lawrence Livermore National Laboratory
P.O. Box 808
Livermore, CA 94551-0808

DegreeDiscipline/InstitutionYear
Ph.D. Nuclear Physics
North Carolina State University
2009
PhD. student (left for NCSU)
Kiev Institute of Nuclear Research
2005
B.S. Physics
National Taras Shevchenko University of Kiev
2003

Research Interests

Use of mathematical models and numerical techniques to study multiphase flow and contaminant transport in heterogeneous subsurface media. Research topics include stochastic multiphase flow, geostatistics, inverse modeling, and contaminant fate and transport.

Memberships

AGU, GSA, SPE

Selected Publications

  • Chen, M., A.A. Keller, and Z. Lu (2009), Stochastic Analysis of three-phase flow in heterogeneous porous media, Stochastic Environmental Research and Risk Assessment, VOL. 23(1), doi: 10.1007/s00477-007-0198-y, pp. 93-109.
  • Chen, M., Z. Lu, and G.A. Zyvoloski (2008), Conditional simulation of water-oil flow in heterogeneous porous media, Stochastic Environmental Research and Risk Assessment, VOL. 22(4), doi: 10.1007/s00477-007-0178-2, pp.587-596.
  • Chen, M., D. Zhang, A.A. Keller, Z. Lu, and G.A. Zyvoloski (2006), A stochastic analysis of transient two phase flow in heterogeneous media, Water Resources Research, 42, W03425, doi:10.1029/2005WR004257.
  • Chen, M., D. Zhang, A.A. Keller, and Z. Lu (2005), A stochastic analysis of steady-state two phase flow in heterogeneous media, Water Resources Research, 41(1): W01006, doi:10.1029/2004WR003412.
  • Keller A.A., and M. Chen (2003), Effect of spreading coefficient on three-phase relative permeability of NAPL. Water Resources Research, 39(10): 1288.
  • Chen, M., J. Ni, A. Xue, G. Huang, and A. Chakama (2003), Comparative study on typical feed-forward ANNs for tidal simulation, Journal of Sediment Research, No.5, 2003, 41-48.
  • Chen, M., J. Ni, A. Chakama, G. Huang, and A. Xue (2003), Application of genetic algorithm-based artificial neural networks in 2D tidal flow simulation, Journal of Hydraulic Engineering, No.10, 2003, 87-95.

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