个人简介

      张东晓，北京大学工程科学与新兴技术高精尖创新中心能源技术部PI。美国国家工程院院士、国际石油工程师协会荣誉会员、美国地质学会会士(Fellow)。历任美国南加州大学Marshall讲席正教授（终身制），俄克拉荷马大学石油和地质工程系米勒讲席正教授（终身制），北京大学能源与资源工程系首任系主任，长江学者讲座教授，美国著名拉萨拉莫斯(Los Alamos)国家实验室高级研究员。为地下水文学、非常规油气开采（煤层气、页岩气）、二氧化碳地质埋藏方面的国际著名学者，其随机理论建模、数值计算、历史拟合方面的研究成果已被国际同行广泛采用。著有专著两本，其中在2002年出版的《渗流随机理论》（美国学术出版社）已成为领域内的经典著作；发表学术论文220余篇（其中，SCI论文180多篇）。先后担任权威性杂志《水资源研究》、《国际石油工程师杂志》等七种国际学术杂志副主编。作特邀学术报告80余次、发起并组织国际学术会议20余次。曾担任英国国家研究理事会“能源研究评估委员会”委员、美国国家研究委员会“地球科学2010-2020科研规划委员会”委员、《国际石油工程师杂志》CO2地下封存专辑主编、达沃斯世界经济论坛（WEF）“全球议程理事会”理事、国家“千人计划”联谊会能源、资源和环境专业委员会主任以及北京京西国际学校校董（2014－2016）。

代表性著作

1. Zhang, D., Stochastic Methods for Flow in Porous Media: Coping with Uncertainties, Academic Press, San Diego, Calif., ISBN 012-7796215, 350页, 2002.  (专著, SCI 引用次数: 310) 

2. Zhang, D., and C.L. Winter, editors, Theory, Modeling and Field Investigation in Hydrogeology, Geological Society of America, 245页, 2000. (书, 编辑)

3. Zhang, D., Stochastic Methods for Flow in Porous Media: Coping with Uncertainties, Academic Press, San Diego, Calif., ISBN 012-7796215, pp.350, 2002.  (专著，SCI引用: 362；Google Scholar: 566)

4. Teng, Y., and D. Zhang*, Long-term Viability of Carbon Sequestration in Deep-sea Sediments, Science Advances, 4, 10.1126/sciadv.aao6588, 2018.

5. Zhang, D., Y. Chen*, and J. Meng, Synthetic Well Logs Generation based on Recurrent Neural Networks, Petroleum Exploration and Development, 45(4): 629-639, 2018. [对应中文版: 张东晓, 陈云天, 孟晋. 基于循环神经网络的测井曲线生成方法[J]. 石油勘探与开发, 45(4): 598-607, 2018.]

6. Wu, T, X. Li, J. Zhao, and D. Zhang*, Multiscale Pore Structure and its Effect on Gas Transport in Organic-rich Shale, Water Resources Research, DOI: 10.1002/2017WR020780, 53(7): 5438–5450, 2017.

7. 张东晓，杨婷云，吴天昊，赵俊良，页岩气开发机理和关键问题, 科学通报, 61: 62-71, 2015.

8. Zhang, D.*, and T. Yang, Environmental Impacts of Hydraulic Fracturing in Shale Gas Development in the United States, Petroleum Exploration and Development, 42(6): 876-883, 2015. (页岩气开发水力压裂技术的环境影响, 石油勘探与开发, 2015) (SCI引用: 13；Google Scholar: 33)

9. Song, J., and D. Zhang*, Comprehensive Review of Caprock-Sealing Mechanisms for Geologic Carbon Sequestration, Environmental Science and Technology, 10.1021/es301610p, 47: 9-22, 2013. (SCI引用: 70；Google Scholar: 117)

10. Xie, X.H., and D. Zhang, Data Assimilation for Distributed Hydrological Catchment Modeling via Ensemble Kalman Filter, Adv. Water Resources, doi:10.1016/j.advwatres.2010.03.012, 33: 678–690, 2010. (2011年“中国百篇最具影响国际学术论文”；SCI引用: 92；Google Scholar: 136)

11. Li, H., and D. Zhang*, Probabilistic Collocation Method for Flow in Porous Media: Comparisons with Other Stochastic Methods, Water Resour. Res., 43, W09409, DOI:10.1029/2006WR005673, 2007. (SCI引用: 133；Google Scholar: 235)

12. Chen, Y., and D. Zhang*, Data Assimilation for Transient Flow in Geologic Formations via Ensemble Kalman Filter, Adv. Water Resour., doi:10.1016/j.advwatres.2005.09.007, 29, 1107–1122, 2006. (ISI 高被引论文, SCI引用: 189；Google Scholar: 272)

13. Xu, X., S. Chen, and D. Zhang*, Convective Stability Analysis of the Long-Term Storage of Carbon Dioxide in Deep Saline Aquifers, Adv. Water Resour.,  doi:10.1016/j.advwatres.2005.05.008, 29(3):397-407, 2006. (SCI引用: 158；Google Scholar: 227)

14. Zhang, D.*, and Z. Lu, An Efficient, High-Order Perturbation Approach for Flow in Random Porous Media via Karhunen-Loeve and Polynomial Expansions, Journal of Computational Physics, 194(2), 773-794, doi:10.1016/j.jcp.2003.09.015, 2004. (SCI引用: 181；Google Scholar: 270)

15. Kang, Q., D. Zhang*, and S. Chen, Displacement of a Two-Dimensional Immiscible Droplet in a Channel, Physics of Fluids, 14(9), 3203-3214, 2002. (SCI引用: 163；Google Scholar: 228)

16. Zhang, D.*, R. Zhang, S. Chen, and W.E. Soll, Pore Scale Study of Flow in Porous Media: Scale Dependency, REV, and Statistical REV, Geophysical Research Letters, 27(8), 1195-1198, 2000. (SCI引用: 131；Google Scholar: 210)