马先林：教师个人介绍
马先林-教授-西安石油大学-
教育经历： 2004.6-2008.8： 美国德克萨斯A&M大学石油工程系，博士研究生，博士； 1994.9-1997.7： 中国科学院计算技术研究所，博士研究生，工学博士； 1987.9-1990.3： 中国石油大学（北京），硕士研究生，工学硕士； 1983.9-1987.6： 中国地质大学（武汉），本科生，工学学士。 工作经历： 2015.11-今：西安石油大学，教授； 1998.2-2000.3： 美国斯坦福大学石油工程系， 博士后； 1990.3-1994.8： 中国石油大学（华东）计算机系，助教、讲师。 研究领域： 油藏数值模拟， 油藏不确定性量化与开发优化 主讲课程： 本科生课程《油藏工程》，《采油气科学与技术》； 研究生课程《高等油气藏工程》。 代表性论著： 1. Ma, X., Al-Harbi, M., Datta-Gupta, A., and Efendiev, Y. 2008. An Efficient Two-Stage Sampling Method for Uncertainty Quantification in History Matching Geological Models.SPE Journal13(1): 77-87. 2. Ma, X., Datta-Gupta, A., and Efendiev, Y. 2008. A Multistage MCMC Method with Nonparametric Error Model for Efficient Uncertainty Quantification in History Matching. Paper SPE 115911 presented at the SPE Annual Technical Conference and Exhibition, 21-24 September, Denver, Colorado, USA 3. Talbert, M.,Ma, X., Datta-Gupta, A. 2008.Upgridding 3-D Reservoir Models in a Channel Environment. SPE Indian Oil and Gas Technical Conference and Exhibition, 4-6 March, Mumbai, India 4. Efendiev, Y., Datta-Gupta, A.,Ma, X., and Mallick, B. 2008. Modified MCMC for Dynamic Data Integration Using Streamline Models. Mathematical Geosciences 40(2)213:232 5. Ma, X., Al-Harbi, M., Datta-Gupta, A., and Efendiev, Y. 2006.A Multistage Sampling Method for Rapid Quantification of Uncertainty in History Matching Geological Models. Paper SPE 102476 presented at the SPE Annual Technical Conference and Exhibition, 24-27 September, San Antonio, Texas, USA 6. King, M. J., Burn, K. S., Wang, P., Muralidharan, V., Alvarado,Ma, X.and Datta-Gupta, A. 2006. Optimal Coarsening of 3D Reservoir Models for Flow Simulation, SPE Reservoir Evaluation & Engineering 7. Efendiev, Y., Datta-Gupta, A., Ginting, V.,Ma., X.and Mallick, B. 2005. An efficient two-stage Markov chain Monte Carlo method for dynamic data integration.Water Resources Res. 41 (12) 8. Efendiev, Y., Datta-Gupta, A., Hwang, K.,Ma., X.and Mallick, B. 2011. Bayesian Partition Models for Subsurface Characterization.Large-Scale Inverse Problems and Quantification of Uncertainty 9. Caers, J. and Ma, X.2002. Modeling Conditional Distribution of Facies from Seismic Using Neural Nets.Mathematical Geology34(2): 143-167. 10. Ma, X.and Yao, T. 2001. A Program for 2D Modeling (cross) Correlogram Tables Using Fast Fournier.Computers & Geosciences27(7) 763-774. Ma, X. and Journel, A. 1999. An Expanded GSLIB Cokriging Program Allowing for Two Markov Models.Computers & Geosciences25(6): 627-639.
