张东晓外聘博导美国国家工程院院士

作者：发布者：系统管理员发布时间：2018-03-15 访问次数：3458

»姓名：张东晓	»职称：教授
»系属：	»最高学历/学位：博士
»学科：油气田开发工程学科	»所学专业：油气田开发工程
»电子邮箱：donzhang01@gmail.com
»联系电话：86-10-6275-7427
»地址邮编：北京市海淀区颐和园路5，北京大学工学院, 燕南园60号，邮编 100871
»个人主页：

◎学习与工作经历
学习经历：
1993.1-1993.12 美国亚利桑那大学工学院水文与水资源系水文学博士，博士论文: Conditional Stochastic Analysis of Solute Transport in Heterogeneous Geologic Media，导师: Shlomo P. Neuman院士.
1991.8-1992.12 美国亚利桑那大学工学院水文与水资源系水文学理学硕士，硕士论文: Some Aspects of Stochastic Flow and Transport in Complex Geologic Media，导师: Shlomo P. Neuman院士.
1990.8-1991.7 美国亚利桑那大学工学院采矿与地质工程系地质工程方向硕士研究生.
1988.8-1989.7 东北大学采矿工程系岩石力学方向硕士研究生.
1984.8-1988.7 东北大学采矿工程系理学学士，学士论文: A Moire Gauge for Measuring Rock Strain (获批专利)，毕业排名：No.1/60

工作经历：
2017.11-至今北京大学研究生院常务副院长
2013.07-至今北京大学工学院院长，北京大学海洋研究院院长，能源与资源工程系讲席教授
2010.8-2013.6 北京大学工学院常务副院长，能源与资源工程系讲席教授
2007.8-2010.8 美国南加州大学土木与环境工程系和化学工程与材料科学系，水资源与石油工程Marshall讲席教授
2005.7-2010.8 北京大学工学院创院副院长（2005-2007），能源和资源工程系讲席教授，首任系主任（2005-2007）
2004.3-2007.7 美国俄克拉荷马大学石油与地质工程系，米勒讲席教授（终身制）
1996.9-2004.3 美国Los Alamos国家实验室地球和环境科学部，高级研究员和研究室主任（1999-2003）
2002.8-2002.12 香港科技大学土木工程系访问学者，从Los Alamos国家实验室学术休假
教学：随机地下水文学，研究：地表/地下流动的耦合
2003.6-2010.12 南京大学地球科学系兼任教授，长江学者讲席教授（2005年起）
2000.12-2009.12 美国地球物理联合会《水资源研究》（Water Resources Research）副主编
2002.8-2012.12 国际石油工程师杂志(SPE Journal) 副主编
2003.7-2008.12 美国土壤科学学会《非饱和带杂志》（Vadose Zone Journal）副主编
2004.7-至今 Elsevier出版社Advances in Water Resources编委会成员
2005.1-2011.12 美国工业与应用数学学会Multiscale Modeling and Simulation副主编
2007.1-至今 Springer出版社Journal of Computational Geosciences副主编
2010.1-至今《温室气体：科学与技术》（Greenhouse Gases: Science and Technology）编辑顾问
1995.3-1996.8 Daniel B. Stephens＆Associates有限公司高级水文学家
1994.1-1995.2 亚利桑那大学水文和水资源系助理研究员
1993.1-1993.12 亚利桑那大学水文和水资源系研究助理
1991.8-1992.12 亚利桑那大学水文和水资源系研究生研究助理
1990.8-1991.7 亚利桑那大学采矿与地质工程系研究生教学助理

◎研究方向
油气开釆、地热开发与利用、二氧化碳埋藏等。

◎承担科研课题
(1) 北京工程科学与新兴技术高精尖创新中心（BIC-ESAT），北京市项目，北京大学，项目负责人、中心主任，2015.9－2019.9.
(2) 页岩气开发水资源污染风险的评估与监测设计研究，基金委国际合作重点项目，北京大学，项目负责人，2016－2020.
(3) 页岩气流动机理实验（私人捐赠），项目负责人，2014－2017.
(4) 页岩气开采机理、数值模拟和生产优化，国家自然科学基金委重点项目，项目负责人，2013－2016.
(5) 大规模燃煤电厂烟气CO2捕集、驱油及封存技术开发及应用示范，国家科技支撑计划，课题骨干专家，2012－2015.
(6) 中国碳储存盆地地图绘制原理，中国地质调查局，项目负责人，2010-2012.
(7) 神华10万吨/年碳储存项目技术支持，北京大学-中国科学院-北京师范大学，项目负责人，2010-2012.
(8) 煤层气开采机制研究，中石油，项目负责人，2009-2010.
(9) 中国咸水含水层CO2埋存的基础研究，美国Stanford大学GCEP项目，北京大学－中国地大（武汉）－南加大，总负责人, 2009－2011.
(10) “合作研究：通过快速超可扩展随机有限元方法模拟碳封存的不确定性量化”，美国国家科学基金会，项目共同负责人，2009-2011.
(11) “基于生产数据和沉降观测更新和改进油藏模型”，雪佛龙Cisoft计划，项目负责人，2008-2009.
(12) “提高页岩气采收率”，美国能源公司，项目共同负责人，2008-2009.
(13) OU-CEM “OU 集合随机方法”工业联盟，南加州大学项目代表负责人，2007-2008.
(14) “CMG联合研究：地下水流和反应运移的随机多尺度建模”，美国国家科学基金，项目共同负责人，2006-2009.
(15) OU-CEM“OU集合随机方法”工业联盟, 项目共同负责人, 2006-2009
(16) 国家973项目：温室气体提高石油采收率的资源化利用及地下埋存，第3课题负责人（CO2地下埋存的监测和前缘预测技术）, 2007－2011.
(17) “大尺度多孔介质中流动的随机动态数据同化”，国家自然科学基金委员会（NSFC）杰出青年科学基金，项目负责人，2007- 2011.
(18) “耦合流动和地质力学的随机不确定性量化和数据同化”，斯伦贝谢北京地球科学中心（BGC），项目负责人，2006-2008.
(19) “利用随机过程方法研究非均质节理裂隙岩石含水层中的地下水运移规律”, 美国国家科学基金会, 负责人, 2005-2006.
(20) 油田模拟不确定性的高效率定量化, 美国化学学会石油研究基金, 负责人, 2005-2007.
(21) “二氧化碳地质埋存的尺度升级”, 美国Los Alamos 国家实验室，项目负责人，2005-2006.
(22) “Barnett 页岩天然气开采影响因素的纵合研究”, Devon Energy Corporation, 第二负责人, 2005-2007.
(23) “油田行为仿真中不确定性的直接定量化”，美国Los Alamos国家实验室，项目负责人，2005.
(24) “海底沉积物中水合物形成的孔隙尺度模拟”，美国Los Alamos国家实验室，项目负责人，2005.
(25) “海底水合物的微尺度模拟”, Los Alamos国家实验室, 负责人, 2005.
(26) “地质介质中CO2的存储的基础研究”, Los Alamos国家实验室, 负责人, 2003～2006.
(27) “枯竭油库中CO2存储的模拟和现场试验”, 美国能源部, Los Alamos国家实验室负责人, 2000～2003.
(28) “多孔介质和裂缝型介质中的多相流动、运移和反应”，美国Los Alamos国家实验室，项目共同负责人，2003-2005.
(29) “地下含水层边缘地区城市化深基坑的影响”，香港研究资助委员会（RGC），项目共同负责人，2003-2005.
(30) “油田行为仿真中不确定性的直接定量化”, 美国能源部, 负责人, 2002～2003.
(31) “油气库的先进信息管理”, 美国能源部, 负责人, 2001.
(32) “孔隙介质的随机多相流模型”, Los Alamos 国家实验室CARE计划, 第二负责人, 2003.
(33) “随机孔隙介质中两相流体的矩方法”，美国Los Alamos国家实验室，项目负责人, 1997～1998.
(34) “不均匀介质对复杂流体流动与污染物运移的作用”, Los Alamos 国家实验室CARE计划, 第二负责人, 2000-2003.
(35) “非均匀滲流场多相流的随机模型研究”, Chevron 石油技术公司, 负责人, 1998-2002.
(36) “多孔介质中多相流的多尺度物理学”，美国Los Alamos 国家实验室，项目负责人, 1999-2001
(37) “Nevada测试基地的Typo/Benham现场反应物运移的不确定性分析”, 美国能源部, 负责人, 1998-2000.
(38) “支持破裂山丘现场污染运移实验的瞬态非饱和流的随机模型研究”,美国能源部, 负责人, 1998-2000.
(39) “随机孔隙介质中两相流体的矩方法”, Los Alamos国家实验室, 负责人, 1997～1998.

◎获奖情况
2017年当选美国国家工程院院士
2017年当选为石油工程师学会（Society of Petroleum Engineers, 即 SPE）荣誉会员
2011年“中国百篇最具影响国际学术论文”奖
2011年当选美国斐陶斐学院荣誉成员
2009年当选美国地质学会会士
2007年石油工程学会学报杰出评审人奖
2006年石油工程学会学报杰出编辑奖
2007 - 2011年国家自然科学基金委杰出青年基金
2006-2010 长江学者讲座教授
2005-2007年中国科学院海外杰出青年基金
2005-2007中国科学院海外评审专家委员会委员
2002年当选中国地球科学促进会成员
1999年Los Alamos奖
1997年美国Los Alamos国家实验室亚洲杰出员工奖
1984 - 1988年杰出学生奖

◎著作
2. Zhang, D., Stochastic Methods for Flow in Porous Media: Coping with Uncertainties, Academic Press, San Diego, Calif., ISBN 012-7796215, pp.350, 2002. (SCI citation: 341；Google Scholar: 518)
1. Zhang, D., and C.L. Winter, editors, Theory, Modeling and Field Investigation in Hydrogeology, Geological Society of America, pp.245, 2000.

◎论文
(* 表示为通讯作者):

在审论文:
13. Teng, Y., and D. Zhang*, Long-term Viability of Carbon Sequestration in Deep-sea Sediments, Science Advances, under review after revision, 2017.
12. Chang, H., and D. Zhang*, Machine Learning Subsurface Flow Equations from Data, Water Resources Research, under review, 2017.
11. Chen, Y., H. Chang, J. Meng, and D. Zhang*, The Ensemble Neural Networks (ENN): A Stochastic Gradient-free Method, International Conference on Machine Learning (ICML), under review, 2017.
10. Li, S., and D. Zhang*, Fracturing Potential of Carbon Dioxide for Tight/Shale Reservoirs, SPE J, under review, 2018.
9. Zhao, J., D. Zhang*, T. Wu, H. Tang, Q. Xuan, and Z. Jiang, Multiscale approach for mechanical characterization of organic-rich shale and its application, International Journal of Geomechanics, under review, 2017.
8. Zhou, S., D. Zhang*, X. Li, and H. Xue, A Modified BET Equation to Investigate Supercritical Methane Adsorption Mechanism in Shale, International Journal of Coal Geology, under review, 2017.
7. Liao, Q., L. Zeng, H. Chang, and D. Zhang, Efficient History Matching using Markov Chain Monte Carlo via Transformed Adaptive Stochastic Collocation Method, SPE Journal, under review, 2017.
6. Zhang, Z., J. and D. Zhang*, Big Data Mining for Identification of Sweet Formations in Shale Oil Reservoirs, Journal of Hydrology, under review, 2017.
5. Wang, L., D. Zhang*, Z. Dong, and X. Li, A multi-scale flow model for production performance analysis in shale gas reservoirs with fractal geometry, SPE Journal, under review, 2017.
4. Lei, G., W. Li, D. Zhang*, L. Wang, H. Wang, C. Wang, and W. Yang, A fractal composite model for fluid flow characteristics in acidized fractured-vuggy porous media, Journal of Petroleum Science and Engineering, under review, 2017.
3. Wu, T., X. Li, S. Ma, and D. Zhang*, Differential Pressure Decay Method for Shale Matrix Permeability Test, International Journal of Coal Geology, under review, 2017.
2. Tang, H., S. Li, and D. Zhang*, The Effect of Heterogeneity on Hydraulic Fracturing, Journal of Petroleum Science and Engineering, under review, 2017.
1. Zeng, J., H. Li, and D. Zhang, Numerical Simulation of Proppant Transport in Propagating Fractures with the Multi-phase Particle-in-cell Method, J. Natural Gas Sci. & Eng., revised after review, 2017

2018 (2):
162. Yao, M., H. Chang, X. Li, and D. Zhang*, Tuning Fractures with Dynamic Data, Water Resources Research, 54,https://doi.org/10.1002/2017WR022019, 2018.
161. Jiang, Z., L. Zhao, and D. Zhang*, Study of Adsorption Behavior in Shale Reservoirs under High Pressure, J. Natural Gas Sci. & Eng., DOI: 10.1016/j.jngse.2017.11.009, 49: 275-285, 2018.

2017 (12):
160. 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.
159. Chen, Y., J. Su, D. Zhang*, C. Liu, Estimation of Shale Gas Resource via Statistical Learning, Applied Energy, DOI: 10.1016/j.apenergy.2017.04.029, 197: 327-341, 2017.
158. Chang, H., and D. Zhang*, History Matching of Stimulated Reservoir Volume of Shale Gas Reservoirs Using an Iterative Ensemble Smoother, SPE Journal, SPE-189436-PA, DOI: 10.2118/189436-PA, 2017.
157. Yang, T., X. Li, and D. Zhang*, Where Gas is Produced from a Shale Formation: A Simulation Study, J. Natural Gas Sci. & Eng., DOI: 10.1016/j.jngse.2017.06.015, 45: 860-870, 2107.
156. Lei, G., D. Zhang, W. Yang, and H. Wang, Mathematical Model for Wells Drilled in Large-Scale Partially Filled Cavity in Fractured-Cavity Reservoirs (缝洞型油藏井钻遇大尺度部分充填溶洞数学模型), Earth Science, 42(8): 1413-1420, 2017.
155. Jiang, Z., D. Zhang*, J. Zhao, and Y. Zhou, Experimental Investigation of the Pore Structure of Triassic Terrestrial Shale in the Yanchang Formation, Ordos Basin, China, J. Natural Gas Sci. & Eng., DOI: 10.1016/j.jngse.2017.08.002, 2017.
154. Zhang, Z., H. Li, and D. Zhang, Reservoir Characterization and Production Optimization using the Ensemble-based Optimization Method and Multi-layer Capacitance-resistive Models, J. Petrol. Sci. Eng., DOI: 10.1016/j.petrol.2017.06.020, 2017.
153. Liao, Q., D. Zhang, and H. Tchelepi, Nested sparse grid collocation method with delay and transformation for subsurface flow and transport problems, Adv. Water Resour., DOI: 10.1016/j.advwatres.2017.03.020, 104: 158-173, 2017.
152. Li, S., D. Zhang*, and X. Li. A New Approach to the Modeling of Hydraulic Fracturing Treatments in Naturally Fractured Reservoirs, SPE Journal, Doi:10.2118/181828-PA, 22(4): 1064-1081, 2017.
151. Li, S., and D. Zhang*, A Fully Coupled Model for Hydraulic Fracture Growth during Multi-well Fracturing Treatments: Enhancing Fracture Complexity, SPE Production & Operations, DOI: 10.2118/182674-PA, in press, 2017.
150. Chang, H., Q. Liao, and D. Zhang, Surrogate Model based Iterative Ensemble Smoother for Subsurface Flow Data Assimilation, Adv. Water Resour., Doi:10.1016/j.advwatres.2016.12.001, 100: 96-108, 2017.
149. Liao, Q., D. Zhang, and H. Tchelepi, A Two-stage Adaptive Stochastic Collocation Method on Nested Sparse Grids for Multiphase Flow in Randomly Heterogeneous Porous Media, J. Comp. Phys., DOI: 10.1016/j.jcp.2016.10.061, 330: 828-845, 2017.

2016 (6):
148. Wu, T., and D. Zhang*, Impact of Adsorption on Gas Transport in Nanopores, Scientific Reports, 6:23629, DOI: 10.1038/srep23629, 2016.
147. Li, X., Y. Xue, M. Zou, D. Zhang, A. Cao, and H. Duan, Direct Oil Recovery from Saturated Carbon Nanotube Sponges, ACS Appl. Mater. Interfaces, DOI: 10.1021/acsami.6b01623, 8(19): 12337–12343, 2016.
146. Li, S., X. Li, and D. Zhang*, A Fully Coupled Thermo-Hydro-Mechanical, Three-Dimensional Model for Hydraulic Stimulation Treatments, J. Natural Gas Sci. & Eng., DOI: 10.1016/j.jngse.2016.06.046, 34: 64-84, 2016.
145. Dai, C., L. Xue, D. Zhang, and A. Guadagnini, Data-worth Analysis through Probabilistic Collocation-based Ensemble Kalman Filter, J. Hydrol., DOI: 10.1016/j.jhydrol.2016.06.037, 540: 488–503, 2016.
144. Zeng, J., H. Li, and D. Zhang, Numerical Simulation of Proppant Transport in Hydraulic Fracture with Upscaling CFD-DEM Method, J. Natural Gas Sci. & Eng., doi:10.1016/j.jngse.2016.05.030, 33: 264-277, 2016.
143. Liao, Q., and D. Zhang*, Probabilistic Collocation Method for Strongly Nonlinear Problems: 3. Transform by Time, Water Resour. Res., 52, doi:10.1002/2015WR017724, 2016.

2015 (12):
142. Chang, H., Q. Liao, and D. Zhang*, Benchmark Problems for Subsurface Flow Uncertainty Quantification, J. Hydrol., doi:10.1016/j.jhydrol.2015.09.040, 531:168-186, 2015.
141. Li, X., and D. Zhang*, A Multi-continuum Multiple Flow Mechanism Simulator for Unconventional Oil and Gas Recovery, J. Natural Gas Sci. & Eng., doi: 10.1016/j.jngse.2015.07.005, 652-669, 2015.
140. Lu, L., and D. Zhang*, Assisted History Matching for Fractured Reservoirs using Hough Transform based Parameterization, SPE Journal,http://dx.doi.org/10.2118/176024-PA, 20(5): 942-961, 2015.
139. Zhang, D.*, T. Yang, T. Wu, X. Li, and J. Zhao, Recovery Mechanisms and Key Issues in Shale Gas Development, Chin. Sci. Bull., 61: 62-71, 2015. (页岩气开发机理和关键问题, 科学通报)
138. Chen, Y., Q. Kang, Q. Cai, M. Wang, and D. Zhang, Lattice Boltzmann Simulation of Particle Motion in Binary Immiscible Fluids, Communications in Computational Physics, 18(3): 757-786, 2015.
137. 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)
136. Chang, H., and D. Zhang, Jointly Updating the Mean Size and Spatial Distribution of Facies in Reservoir History Matching, Comp. Geosci., DOI 10.1007/s10596-015-9478-7, 19(4): 727-746, 2015.
135. Liao, Q., and D. Zhang*, Data Assimilation for Strongly Nonlinear Problems by Transformed Ensemble Kalman Filter, SPE Journal, 20(1): 202-221, DOI:10.2118/173893-PA, 2015.
134. Yang, T., X. Li, and D. Zhang*, Quantitative Dynamic Analysis of Gas Desorption Contribution to Production in Shale Gas Reservoirs, J. Uncon. Oil & Gas Resour., doi:10.1016/j.juogr.2014.11.003, 9:18-30, 2015.
133. Dai, C., H. Li, D. Zhang*, and L. Xue, Efficient Data-Worth Analysis for the Selection of Surveillance Operation in a Geologic CO2 Sequestration System, Greenhouse Gases: Science and Technology, DOI: 10.1002/ghg.1492, 5(5):513-529, 2015.
132. Zhang, Z., H. Li, and D. Zhang, Water Flooding Performance Prediction by Multi-Layer Capacitance-Resistive Models Combined with the Ensemble Kalman Filter, J. Petrol. Sci. Eng., 1-19, 10.1016/j.petrol.2015.01.020, 2015.
131. Liao, Q., and D. Zhang*, Constrained Probabilistic Collocation Method for Uncertainty Quantification of Geophysical Models, Comp. Geosci., DOI 10.1007/s10596-015-9471-1, 19(2): 311-326, 2015.

2014 (10):
130. Li, W., G. Lin, and D. Zhang*, An Adaptive ANOVA-based PCKF for High-Dimensional Nonlinear Inverse Modeling, Journal of Computational Physics, 258C: 752-772, 10.1016/j.jcp.2013.11.019, 2014.
129. Xue, L., and D. Zhang*, A Multimodel Data Assimilation Framework via the Ensemble Kalman Filter, Water Resour. Res., 50(5): 4197-4219, DOI:10.1002/2013WR014525, 2014.
128. Liao, Q., and D. Zhang*, Probabilistic Collocation Method for Strongly Nonlinear Problems: 2. Transform by Displacement, Water Resour. Res., DOI:10.1002/2014WR016238, 2014.
127. Xue, L., D. Zhang, A. Guadagnini, and S.P. Neuman, Multimodel Bayesian Analysis of Groundwater Data Worth, Water Resour. Res., DOI:10.1002/2014WR015503, 2014.
126. Ping, J., and D. Zhang*, History Matching of Channelized Reservoirs with Vector-based Level Set Parameterization, SPE Journal, 19(3): 514-529, 10.2118/169898-PA, 2014.
125. Dai, C., H. Li, and D. Zhang*, Efficient and Accurate Global Sensitivity Analysis for Reservoir Simulations Using Probabilistic Collocation Method, SPE Journal, 19(4): 621-634, 10.2118/167609-PA, 2013.
124. Chang, H., and D. Zhang, History Matching of Statistically Anisotropic Fields Using Karhunen-Loeve Expansion based Global Parameterization Technique, Comp. Geosci., 18(2): 265-282, 2014.
123. Li, X. and D. Zhang*, A Backward Automatic Differentiation Framework for Reservoir Simulation, Comp. Geosci., 10.1007/s10596-014-9441-z, 18:1009-1022, 2014.
122. Chang, H., and D. Zhang, History Matching of Facies Distribution with Varying Mean Lengths or Different Principle Correlation Orientations, J Petrol. Sci. Eng., DOI: 10.1016/j.petrol.2014.09.029, 124: 275-292, 2014.
121. Zhang, D.*, and J. Song, Mechanisms for Geological Carbon Sequestration, Procedia IUTAM, 10: 319-327, 2014.

2013 (8):
120. 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.
119. Sun A.Y., M. Zeidouni, J.-P. Nicot, Z. Lu, and D. Zhang, Assessing Leakage Detectability at Geologic CO2 Sequestration Sites using the Probabilistic Collocation Method, Adv. Water Resour., 10.1016/j.advwatres.2012.11.017, 2013.
118. Wei, Z., and D. Zhang*, A Fully Coupled Multicomponent, Multiphase Flow and Geomechanics Model for Enhanced Coalbed Methane Recovery and CO2 Storage, SPE Journal, 18(3): 448-467, 2013.
117. Li, H., and D. Zhang, Stochastic Representation and Dimension Reduction for Non-Gaussian Random Fields: Review and Reflection, Stochastic Environmental Research and Risk Assessment, DOI 10.1007/s00477-013-0700-7, 27:1621–1635, 2013.
116. Ping, J., and D. Zhang*, History Matching of Fracture Distributions by Ensemble Kalman Filter Combined with Vector Based Level Set Parameterization, Journal of Petroleum Science and Engineering,http://dx.doi.org/10.1016/j.petrol.2013.04.018i, 2013.
115. Zhang*, D., T. Yang, An Overview of Shale-Gas Production, ACTA PETROLEI SINICA, 2013, 34 (4): 792-801. (张东晓, 杨婷云. 页岩气开发综述. 石油学报, 2013, 34 (4): 792－801.)
114. Xie, X., and D. Zhang, A Partitioned Update Scheme for State-Parameter Estimation of Distributed Hydrologic Models based on the Ensemble Kalman Filter, Water Resour. Res., VOL. 49, 7350–7365, 10.1002/2012WR012853, 2013.
113. Liao, Q., and D. Zhang*, Probabilistic Collocation Method for Strongly Nonlinear Problems: 1. Transform by location, Water Resour. Res., 49(12), 7911-7928, 10.1002/2013WR014055, 2013.

(40) (4):
112. Jahangiri, H.R., and D. Zhang*, Ensemble Based Co-optimization of Carbon Dioxide Sequestration and Enhanced Oil Recovery, International Journal of Greenhouse Gas Control, 10.1016/j.ijggc.2012.01.013, 8: 22-33, 2012.
111. Zeng, L., L. Shi, D. Zhang, and L. Wu, A Sparse Grid Based Bayesian Method for Contaminant Source Identification, Adv. Water Resour., 10.1016/j.advwatres.2011.09.011, 37:1-9, 2012.
110. Shi, L., L. Zeng, D. Zhang, and J. Yang, Multiscale-Finite-Element-Based Ensemble Kalman Filter for Large-Scale Groundwater Flow, J. Hydrology, DOI: 10.1016/j.jhydrol.2012.08.003, 468: 22-34, 2012.
109. Li, Z., D. Zhang, and X. Li, Tracking Colloid Transport in Real Pore Structures: Comparisons with Correlation Equations and Experimental Observations, Water Resour. Res., 48, doi:10.1029/2012WR011847, 2012.

(41) (5):
108. Zeng, L., H. Chang, and D. Zhang*, A Probabilistic Collocation Based Kalman Filter for History Matching, SPE Journal, SPE-140737-PA-P, 294-306, 2011.
107. 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, SPE-140738-PA-P, 429-439, 2011.
106. Jahangiri, H.R., and D. Zhang*, Effect of Spatial Heterogeneity on Plume Distribution and Dilution during CO2 Sequestration, International Journal of Greenhouse Gas Control, 10.1016/j.ijggc.2010.10.003, 5:281-293, 2011.
105. Jafroodia N., and D. Zhang, New Method for Reservoir Characterization and Optimization Using CRM-EnOpt Approach, J Pet. Sci. Eng., doi:10.1016/j.petrol.2011.02.011, 77: 155-171, 2011.
104. Chen, Y., Q. Kang, Q.D. Cai, and D. Zhang, Lattice Boltzmann Method on Quadtree Grids, Physical Review E, 83, 026707, 2011.

(42) (12):
103. 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”)
102. Zhang, D.*, L. Shi, H. Chang, and J. Yang, A Comparative Study of Numerical Approaches to Risk Assessment of Contaminant Transport, Stochastic Environmental Research and Risk Assessment, 10.1007/s00477-010-0400-5, 2010.
101. Wei, Z., and D. Zhang*, Coupled Fluid Flow and Geomechanics for Triple-Porosity/Dual-Permeability Modeling of Coalbed Methane Recovery, International Journal of Rock Mechanics and Mining Sciences, 47: 1242–1253, 2010.
100. Chang, H., D. Zhang*, and Z. Lu, History Matching of Facies Distribution with the EnKF and Level Set Parameterization, J. Comp. Phys., 229:8011-8030, DOI:10.1016/j.jcp.2010.07.005, 2010.
99. Li, X.*, Z. Li, and D. Zhang*, Role of Low Flow and Backward Flow Zones on Colloid Transport in Pore Structures Derived from Real Porous Media, Environmental Science & Technology, 44(13), 4936-4942, 2010.
98. Chen, C., and D. Zhang*, Pore-Scale Simulation of Density-Driven Convection in Fractured Porous Media during Geological CO2 Sequestration, Water Resour. Res., 46, W11527, DOI: 10.1029/2010WR009453, 2010.
97. Li, Z., D. Zhang, and X. Li, Tracking Colloid Transport in Porous Media Using Discrete Flow Fields and Sensitivity of Simulated Colloid Deposition to Space Discretization, Environmental Science & Technology, 44(4), 1274-1280, 2010.
96. Chang, H., Y. Chen, and D. Zhang*, Data Assimilation of Coupled Fluid Flow and Geomechanics Using Ensemble Kalman Filter, SPE Journal, SPE-118963-PA, 15(2): 382-394, 2010.
95. Zeng, L., and D. Zhang*, A Stochastic Collocation Based Kalman Filter for Data Assimilation, Computational Geosciences, 10.1007/s10596-010-9183-5, 2010.
94. Wei, Z., and D. Zhang, Coupled Fluid Flow and Geomechanics in Coalbed Methane Recovery Study, Mod. Phy. Lett. B, 24(13): 1291-1294, DOI: 10.1142/S0217984910023451, 2010.
93. Chen, C., A. Packman, D. Zhang, and J. -F. Gaillard, A Multi-scale Investigation of Interfacial Transport, Pore Fluid Flow, and Fine Particle Deposition in a Sediment Bed, Water Resour. Res., vol. 46, W11560, DOI: 10.1029/2009WR009018, 2010.
92. Shi, L., D. Zhang*, L. Lin, and J. Yang, A Multiscale Probabilistic Collocation Method for Subsurface Flow in Heterogeneous Media, Water Resour. Res., VOL. 46, W11562, DOI:10.1029/2010WR009066, 2010.

2009 (12):
91. Chen, Y., D. Oliver, and D. Zhang, Efficient Ensemble-based Closed-Loop Production Optimization, SPE Journal, 10.2118/112873-PA, 14(4): 634-645, 2009.
90. Chen, Y., D. Oliver, and D. Zhang, Data Assimilation for Nonlinear Problems by Ensemble Kalman Filter with Reparameterization, J. Petroleum Science & Engineering, DOI:10.1016/j.petrol.2008.12.002, 66(1-2): 1-14, 2009.
89. Rapaka, S., R. Pawar, P. Stauffer, D. Zhang, S. Chen, Onset of Convection Over a Transient Base-State in Anisotropic and Layered Porous Media, J. Fluid Mech., 641: 227-244, DOI:10.1017/S0022112009991479, 2009.
88. Shi, L., J. Yang, D. Zhang, and H. Li, Probabilistic Collocation Method for Unconfined Flow in Heterogeneous Media, J. Hydrology, 365(1-2):4-10, 2009.
87. Li, W., Z. Lu, D. Zhang*, Stochastic Analysis of Unsaturated Flow with Probabilistic Collocation Method, Water Resour. Res., 45, W08425, DOI: 10.1029/2008WR007530, 2009.
86. Li, H., and D. Zhang*, Efficient and Accurate Quantification of Uncertainty for Multiphase Flow with Probabilistic Collocation Method, SPE Journal, 10.2118/114802-PA, 665－679, 2009.
85. Chang, H., and D. Zhang*, A Comparative Study of Stochastic Collocation Methods for Flow in Porous Media, Commun. Comput. Phys., 6(3): 509-535, 2009.
84. Shi, L.S., J.Z. Yang, and D. Zhang, A Stochastic Approach to Nonlinear Unconfined Flow Subject to Multiple Random Fields, Stochastic Environmental Research and Risk Assessment, 23: 823-835, DOI: 10.1007/s00477-008-0261-3, 2009.
83. Shi, L., J. Yang, and D. Zhang, Evaluating the Uncertainty of Darcy Velocity with Sparse Grid Collocation Method, Science in China Series E: Technological Sciences, 52(11): 3270-3278, 10.1007/s11431-009-0353-4, 2009.
82. Lu, G., D. J. DePaolo, Q. Kang, and D. Zhang, Lattice Boltzmann Simulation of Snow Crystal Growth in Clouds, J. Geophys. Res., 114, D07305, DOI: 10.1029/2008JD011087, 2009.
81. Chen, C., and D. Zhang*, Lattice Boltzmann Simulation of the Rise and Dissolution of Two-Dimensional Immiscible Droplets, Physics of Fluids, 21, 103301, DOI: 10.1063/1.3253385, 2009.
80. Feng, X.T., W.X. Ding, and D. Zhang, Multi-Crack Interaction in Limestone Subject to Stress and Flow of Chemical Solutions, International Journal of Rock Mechanics and Mining Sciences, 46(1): 159-171, 10.1016/j.ijrmms.2008.08.001, 2009.

2008 (6):
79. Liu, G., Y. Chen, and D. Zhang, Investigation of Flow and Transport Processes at the MADE Site Using Ensemble Kalman Filter, Adv. Water Resour., doi:10.1016/j.advwatres.2008.03.006, 31: 975–986, 2008.
78. Rapaka, S., S. Chen, R. Pawar, P.H. Stauffer, and D. Zhang, Nonmodal Growth of Perturbations in Density-driven Convection in Porous Media, J Fluid Mech., vol. 609, pp. 285–303, 2008.
77. Gainis, B., H. Klie, M.F. Wheeler, T. Wildey, I. Yotov, and D. Zhang, Stochastic Collocation and Mixed finite elements for Flow in Porous Media, Comput. Methods Appl. Mech. Engrg., 197: 3547–3559, 2008.
76. Ding, Y., T. Li, D. Zhang, and P. Zhang, Adaptive Stroud stochastic collocation method for flow in random porous media via Karhunen-Loeve expansion, Communications in Comp. Phys., 4(1):102-123, 2008.
75. Shi, L., J. Yang, and D. Zhang, A Stochastic Approach to Unconfined flow Subject to Multiple Random Fields, Stochastic Environmental Research and Risk Assessment, 10.1007/s00477-008-0261-3, 2008.
74. Ding, G., J.J. Jiao, and D. Zhang, Modelling Study on the Impact of Deep Building Foundations on the Groundwater System, Hydrol. Process., 22(12): 1857-1865, DOI: 10.1002/hyp.6768, 2008.

2007 (7):
73. 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.
72. Kang, Q., P.C. Lichtner, and D. Zhang, An Improved Lattice Boltzmann Model for Multi-Component Reactive Transport in Porous Media at the Pore Scale, Water Resour. Res., 43, W12S14, DOI:10.1029/2006WR005551, 2007.
71. Zhang, D.*, Z. Lu, and Y. Chen, Dynamic Reservoir Data Assimilation with an Efficient, Dimension-Reduced Kalman Filter, SPE Journal, 12(1), 108-117, 2007.
70. Lu, Z., Zhang, D., and B. Robinson, Explicit Analytical Solutions for One-Dimensional Steady State Flow in Layered, Heterogeneous Unsaturated Soils under Uncertainties, Water Resour. Res., 43, W09413, DOI:10.1029/2005WR004795, 2007.
69. Liu, G., Z. Lu, and D. Zhang*, Stochastic Uncertainty Analysis for Solute Transport in Randomly Heterogeneous Media Using a Karhunen-Loeve Based Moment Equation Approach, Water Resour. Res., 43, W07427, DOI:10.1029/2006WR005193, 2007.
68. Xu, X., S. Chen, and D. Zhang*, Comment on the Effect of Anisotropy on the Onset of Convection in a Porous Medium-Reply, Adv. Water Resour., 30 (3): 698-699, 2007.
67. Lu, Z., and D. Zhang, Stochastic Simulations for Flow in Nonstationary Randomly Heterogeneous Porous Media Using a KL-based Moment-equation Approach, SIAM Multiscale Modeling and Simulation, 6(1), 228-245, DOI. 10.1137/060665282, 2007.

2006 (6):
66. 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)
65. 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.
64. Kang, Q., P.C. Lichtner, and D. Zhang, Lattice-Boltzmann Pore-Scale Model for Multi-component Reactive Transport in Porous Media, J. Geophy. Res., VOL. 111, B05203, DOI: 10.1029/2005JB003951, 2006.
63. Chen, M., A. Keller, D. Zhang, Z. Lu, and G.A. Zyvoloski, A Stochastic Analysis of Transient Two-Phase Flow in Heterogeneous Porous Media, Water Resour. Res., 42(3), W03425, DOI:10.1029/2005WR004257, 2006.
62. Lu, Z., and D. Zhang*, Accurate, Efficient Quantification of Uncertainty for Flow in Heterogeneous Reservoirs using the KLME Approach, SPE Journal, 11(2), 239-247, 2006.
61. Liu, G., D. Zhang, and Z. Lu, Stochastic Uncertainty Analysis for Unconfined Flow Systems, Water Resour. Res., VOL. 42, W09412, DOI:10.1029/2005WR004766, 2006.

2005 (4):
60. Kang, Q., D. Zhang, and S. Chen, Displacement of a Three-Dimensional Immiscible Droplet in a Duct, J. Fluid Mech., 545: 41-66, 2005.
59. Kang, Q., I.N. Tsimpanogiannis, D. Zhang, and P. Lichtner, Numerical Modeling of Pore-scale Phenomena during CO2 Sequestration in Oceanic Sediments, Fuel Processing Technology, 86:1647-1665, 2005.
58. Chen, M., D. Zhang, A. Keller, and Z. Lu, A Stochastic Analysis of Steady State Two-Phase Flow in Heterogeneous Media, Water Resour. Res., Vol. 41, W01006, DOI:10.1029/2004WR003412, 2005.
57. Lu, Z., and D. Zhang, Analytical Solutions of Statistical Moments for Transient Flow in Two-Dimensional Bounded, Randomly Heterogeneous Media, Water Resour. Res., Vol.41, W01016, DOI:10.1029/2004WR003389, 2005.

2004 (12):
56. Zhang, D.*, and Z. Lu, An Efficient, High-Order Perturbation Approach for Flow in Random Porous Media via Karhunen-Loeve and Polynomial Expansions, J. of Computational Physics, 194(2), 773-794, doi:10.1016/j.jcp.2003.09.015, 2004.
55. Kang, Q., D. Zhang, and P. Lichtner, and I. Tsimpanogiannis, Lattice Boltzmann Model for Crystal Growth from Supersaturated Solution, Geophysical Research Letters, DOI: 10.1029/2004GL021107, 31, L21604(1-5), 2004.
54. Lu, Z., and D. Zhang*, Comparative Study on Quantifying Uncertainty of Flow in Randomly Heterogeneous Media Using Monte Carlo Simulations, the Conventional and KL-based Moment-equation Approaches, SIAM Journal on Scientific Computing, 26(2), 558-577, doi:10.1137/S1064827503426826, 2004.
53. Kang, Q., D. Zhang, and S. Chen, Immiscible Displacement in a Channel: Simulations of Fingering in Two Dimensions, Adv. Water Resources, 27(1), 13-22, 2004.
52. Lu, Z., and D. Zhang, Conditional Simulations of Flow in Randomly Heterogeneous Porous Media Using a KL-based Moment-equation Approach, Adv. Water Resources, 27:859-874, 2004.
51. Zhang, D., and Q. Kang, Pore Scale Simulation of Solute Transport in Fractured Porous Media, Geophysical Research Letters, vol.31(6), 2004.
50. Lu, Z., and D. Zhang, Analytical Solutions to Unsaturated Flow in Layered, Heterogeneous Soils via Kirchhoff Transformation, Adv. Water Resources, 27:775-784, 2004.
49. Zhang, Y.K., and D. Zhang, Forum: The State of Stochastic Hydrology, Stochastic Environmental Research and Risk Assessment, 18(4):265, 2004.
48. Zhang, D.*, and Z. Lu, Stochastic Delineation of Well Capture Zones, Stochastic Environmental Research and Risk Assessment, 18(1), 39-46, 2004.
47. Hu, B.X., J. Wu, and Zhang, D., A Numerical Method of Moments for Solute Transport in Physically and Chemically Nonstationary Formations: Linear Equilibrium Sorption with Random Kd, Stochastic Environmental Research and Risk Assessment, 18(1), 22-30, 2004.
46. Sun, A., and D. Zhang, A Solute Flux Approach to Transport through Bounded, Unsaturated Heterogeneous Porous Media, Vadose Zone Journal, 3:513-526, 2004.
45. Yang, J., D. Zhang*, and Z. Lu, Stochastic Analysis of Saturated-Unsaturated Flow in Heterogeneous Media by Combining Karhunen-Loeve Expansion and Perturbation Method, J. Hydrology, vol.294, 18-38, 2004.

2003 (8)
44. Kang, Q., D. Zhang*, and S. Chen, Simulation of Dissolution and Precipitation in Porous Media, J. Geophysical Research-Solid Earth, 108(B10), 2505, DOI:10.1029/2003JB002504, 2003.
43. Lu, Z., and D. Zhang, On Importance Sampling Monte Carlo Approach to Uncertainty Analysis of Flow and Transport in Porous Media, Adv. Water Resources, 26(11), 1177-1188, 2003.
42. Li, L., H.A. Tchelepi, and D. Zhang*, Perturbation-based Moment Equation Approach for Flow in Heterogeneous Porous Media: Applicability Range and Analysis of High-Order Terms, J. of Computational Physics, doi:10.1016/S0021-9991(03)00186-4, 188(1), pp 296 - 317, 2003.
41. Lu, Z., and D. Zhang, On Stochastic Study of Well Capture Zones in Bounded, Randomly Heterogeneous Media, Water Resour. Res., 39(4), DOI:10.1029/2002WR001633, 2003.
40. Lu, Z., and D. Zhang, Solute Spreading in Nonstationary Flows in Bounded Heterogeneous Saturated-Unsaturated Media, Water Resour.