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马先林

发布时间: 2016-12-01 11:16:57   作者:石油工程学院   来源: 本站原创   浏览次数:

    

  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:西安石油大学,教授;

2008.8-2015.10:美国雪佛龙石油公司,油藏工程师、高级油藏工程师;

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 Journal 13 (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 Geology 34 (2): 143-167.

10.   Ma, X. and Yao, T. 2001. A Program for 2D Modeling (cross) Correlogram Tables Using Fast Fournier. Computers & Geosciences 27 (7) 763-774.

Ma, X. and Journel, A. 1999. An Expanded GSLIB Cokriging Program Allowing for Two Markov Models. Computers & Geosciences 25 (6): 627-639.


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