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Heng Li
Ph.D., Assistant Professor
Department of Energy and Resources Engineering, College of Engineering, Peking University
  • Office Tel: +86-10-62562048
  • Email: liheng@coe.pku.edu.cn

Education

•July 2003  B.S., Theoretical and Applied Mechanics, Peking University

•July 2006  M.S., Fluid Mechanics, Peking University

•Dec. 2010  Ph.D., Petroleum Engineering, University of Southern California


Professional Experiences

•May 2009-Aug.2009  Research Scientist in Reservoir Simulation Research Team, Chevron Energy Technology Company, USA

•May 2008-Aug.2008  Research Scientist in Reservoir Simulation Research Team, Chevron Energy Technology Company, USA

•May 2007-Aug.2007  Research Engineer in Schlumberger  Beijing GeoScience Center


Research Areas

Numerical Modeling of Flow and Transport in Porous Media; Reservoir Characterization and Simulation; Oil and Gas Recovery; Subsurface Uncertainty Quantification


Courses

Advanced Fluid Flow in Porous Media


Selected Recent Publications

1.Zhang, D., H. Li, and H. Chang, History Matching for Non-Gaussian Random Fields Using the Probabilistic Collocation Based Kalman Filter, paper SPE 141893, The 2011 SPE Reservoir Symposium, The Woodlands, Texas, USA.

2.Li, H., P. Sarma, and D. Zhang, A Comparative Study of the Probabilistic Collocation and Experimental Design Methods for Petroleum Reservoir Uncertainty Quantification, SPE Journal, 2011, doi:10.2118/140738-PA.
 
3.Li, H. and D. Zhang, Efficient and Accurate Quantification of Uncertainty for Multiphase Flow with Probabilistic Collocation Method, SPE Journal, Vol. 14, No. 4, 665-679, 2009.
 
4.Shi, L., J. Yang, D. Zhang, and H. Li, Probabilistic Collocation Method for Unconfined Flow in Heterogeneous Media, Journal of Hydrology, Vol. 365, Iss.1-2, 2009.
 
5.Li, H., H. Chang, and D. Zhang, Stochastic Collocation Methods for Efficient and Accurate Quantification of Uncertainty in Multiphase Reservoir Simulations, paper SPE 118964, The 2009 SPE Reservoir Symposium, The Woodlands, Texas, USA, Feb. 2-4, 2009.
 
6.Li, H. and Q. Cai, Numerical Simulation of Granular Flow in Chinese Fish Basin, Acta Mechanica Sinica, Vol. 40, No. 1, 2008.
 
7.Zhang, D., H. Li, H. Chang, and G. Yan, Non-Intrusive Stochastic Approaches for Efficient Quantification of Uncertainty Associated with Reservoir Simulations, 11th European Conference on Efficient the Mathematics of Oil Recovery, Bergen, Norway, 8-11 September 2008.
 
8.Li, H. and D. Zhang, Probabilistic Collocation Method for Flow in Porous Media: Comparisons with Other Stochastic Methods,  Water Resources Research, Vol. 43, W09409, doi:10.1029/2006WR005673, 2007.