马先林,教授
电子邮箱:Xianlinm@126.com,电话:029-88382681
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:44118太阳成城集团,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.