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张东晓
美国国家工程院 院士
北京大学工学院 院长
海洋研究院 院长
清洁能源研究院 院长
能源与资源工程系 教授
“国家杰出青年科学基金”获得者
北京大学首届“十佳导师”
电子邮箱:dxz@pku.edu.cn
教育经历:
1994/01~1995/02 美国Arizona大学 水文学 博士后
1993/01~1993/12 美国Arizona大学 水文学 博士
1991/08~1992/12 美国Arizona大学 水文学 硕士
1990/07~1991/07 美国Arizona大学 地质工程 硕士研究生
1988/08~1989/07 东北大学 岩石力学 硕士研究生
1984/08~1988/07 东北大学 采矿工程 学士
研究领域:
地下水文学、油田开采、二氧化碳地质埋藏等
背景资料:
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,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180余篇(其中,SCI论文150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地下封存专缉主编、达沃斯世界经济论坛(WEF)“全球议程理事会”理事以及北京京西国际学校校董(2014-2016)。
主要学术任职、研究工作简历:
2013~ 北京大学工学院院长, 教授
2006~2013 北京大学工学院常务副院长, 能源与资源工程系系主任(2006-2009)、教授
2005~2008 中国科学院海外评审专家
2007~2010 美国南加州大学Marshall讲席教授(终身制)
2004~2007 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)
1996~2004 美国Los Alamos国家实验室, 高级研究科学家与研究课题组长
1995~1996 美国DBSA公司, 高级水力学家主要从事多相流研究
2001~ 美国地球物理联合会《水资源研究》(《Water Resources Research》)副主编
2002~ 美国石油工程师杂志《SPE Journal》副主编
2003~ 美国土壤科学学会《非饱和带杂志》副主编
2004~ Elsevier出版社《Advances in Water Resources》副主编
2005~ 美国工业与应用数学学会《Multiscale Modeling and Simulation》副主编
2007~ Springer出版社《Journal of Computational Geosciences》副主编
主持或参加的各类科研项目:
最近15年主持的科研课题,总经费超过3千万美元。主要课题有:
(1) “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.
(2) 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.
(3) “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, 2005-2006.
(4) “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.
(5) “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.
(6) “海底水合物的微尺度模拟”, Los Alamos国家实验室, 负责人, 2005.
(7) “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.
(8) “枯竭油库中CO2存储的现场试验”, 美国能源部, Los Alamos国家实验室负责人, 2000~2003.
(9) “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.
(10) “油气库的先进信息管理”, 美国能源部, 负责人, 2001.
(11) “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.
(12) “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.
(13) “孔隙介质中多相流的多尺度物理学”, Los Alamos 国家实验室LDRD/ER, 负责人, 1999-2001.
(14) “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.
(15) “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.
(16) “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.
(17) “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.
主要论文列表:
论著、论文目录
括号中为SCI引用次数 (累计SCI 引用次数: 2730次;检索时间―2014年12月31日 Researcher ID: www.researcherid.com/rid/D-5289-2009)

论著:
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)

期刊论文:

Under Review:

6. Liao, Q., and D. Zhang*, Probabilistic Collocation Method for Strongly Nonlinear Problems: 3. Transform by Time, Water Resour. Res., under review, 2015.

5. Dai, C., L. Xue, D. Zhang, and A. Guadagnini, An Efficient Data-worth Analysis Framework via Probabilistic Collocation Method Based Ensemble Kalman Filter, Water Resour. Res., under review, 2014.

4. Li, W., and D. Zhang*, An Adaptive Sampling Algorithm for History Matching and Uncertainty Quantification Using Gaussian Process-based Surrogates, SPE Journal, under review, 2014.

3. Chang, H., and D. Zhang, Jointly Updating the Mean Size and Spatial Distribution of Facies in Reservoir History Matching, Comp. Geosci., under review, 2014.

2. Lu, L., and D. Zhang, Assisted History Matching for Fractured Reservoirs using Hough Transform based Parameterization, SPE Journal, under review, 2014.

1. 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, under review, 2014.


2015 (5):

133. Liao, Q., and D. Zhang*, Data Assimilation for Strongly Nonlinear Problems by Transformed Ensemble Kalman Filter, SPE Journal, SPE-173893-PA, http://dx.doi.org/10.2118/173893-PA, published online, 2015.

132. 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.

131. 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, accepted, in press, 2015.

130. 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.

129. Liao, Q., and D. Zhang*, Constrained Probabilistic Collocation Method for Uncertainty Quantification of Geophysical Models, Comp. Geosci., accepted, in press, 2015.

2014 (9):

128. 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.

127. Xue, L., and D. Zhang*, A Multi-model Data Assimilation Framework via the Ensemble Kalman Filter, Water Resour. Res., 50(5): 4197-4219, DOI:10.1002/2013WR014525, 2014.

126. Liao, Q., and D. Zhang*, Probabilistic Collocation Method for Strongly Nonlinear Problems: 2. Transform by Displacement, Water Resour. Res., DOI:10.1002/2014WR016238, 2014.

125. 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.

124. 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.

123. 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. (SCI citation: 1)

122. 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.

121. 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.

120. 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, 2014.

2013 (8):

119. 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 citation: 14)

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. (SCI citation: 1)

117. Sun A.Y., M. Zeidouni, J.-P. Nicot, Z. Lu, and D. Zhang, Assessing Leakage Detectability at Geologic CO2Sequestration Sites Using the Probabilistic Collocation Method, Adv. Water Resour., 10.1016/j.advwatres.2012.11.017, 2013. (SCI citation: 9)

116. 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.

115. 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. (SCI citation: 1)

114. 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.)

113. 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. (SCI citation: 1)

112. 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. (SCI citation: 2)

2012(4):
111. 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. (SCI citation: 3)

110. Zeng, L., L. Shi, D. Zhang, and L. Wu, A Sparse Grid Based Bayesian Method for Contaminant Source Iidentification, Adv. Water Resour., 10.1016/j.advwatres.2011.09.011, 37:1-9, 2012. (SCI citation: 11)

109. 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.

108. 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. (SCI citation: 1)

2011(5):
107. 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. (SCI citation: 5)

106. 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. (SCI citation: 6)

105. Jahangiri, H.R., and D. Zhang*, Effect of Spatial Heterogeneity on Plume Distribution and Dilution during CO2Sequestration, International Journal of Greenhouse Gas Control, 10.1016/j.ijggc.2010.10.003, 5:281-293, 2011. (SCI citation: 6)

104. Jafroodia N., and D. Zhang, New Method for Reservoir Characterization and Optimization Using CRM-EnOpt Approach, J Pet. Sci. Eng., 77: 155-171, 2011. (SCI citation: 2)

103. Chen, Y., Q. Kang, Q.D. Cai, and D. Zhang, Lattice Boltzmann Method on Quadtree Grids, Physical Review E, 83, 026707, 2011. (SCI citation: 4)

2010(11):
102. Xie, X.H., and D. Zhang, Data Assimilation for Distributed Hydrological Catchment Modeling via Ensemble Kalman Filter, Adv. Water Resources, 33: 678–690, 2010. (Selected as one of the “Top 100 Most Cited Chinese Papers Published in International Journals”) (SCI citation: 34)

101. 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. (SCI citation: 14)

100. 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. (SCI citation: 11)

99. 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. (SCI citation: 16)

98. 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. (SCI citation: 16)

97. 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. (SCI citation: 11)

96. 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. (SCI citation: 6)

95. Chang, H., Y. Chen, and D. Zhang*, Data Assimilation of Coupled Fluid Flow and Geomechanics via Ensemble Kalman Filter, SPE Journal, SPE-118963-PA, 2010. (SCI citation: 7)

94. Zeng, L., and D. Zhang*, A Stochastic Collocation Based Kalman Filter for Data Assimilation, Computational Geosciences, 10.1007/s10596-010-9183-5, 2010. (SCI citation: 9)

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. (SCI citation: 8)

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. (SCI citation: 5)

2009 (12):

91. 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. (SCI citation: 11)

90. 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. (SCI citation: 26)

89. 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. (SCI citation: 21)

88. 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. (SCI citation: 21)

87. 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. (SCI citation: 16)

86. 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. (SCI citation: 17)

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. (SCI citation: 9)

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. (SCI citation: 3)

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. (SCI citation: 1)

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. (SCI citation: 3)

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. (SCI citation: 6)

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. (SCI citation: 14)

2008 (5):

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., 31: 975–986, 2008. (SCI citation: 45)

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. (SCI citation: 48)

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. (SCI citation: 16)

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. (SCI citation: 7)

75. Shi, L., J. Yang, and D. Zhang, The KL-based Moment-equation Method for Unconfined flow Subject to Multiple Random Fields, Stochastic Environmental Research and Risk Assessment, 10.1007/s00477-008-0261-3, 2008. (SCI citation: 2)

2007 (8):

74. 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 citation: 65)

73. 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. (SCI citation: 38)

72. 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. (SCI citation: 25)

71. 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. (SCI citation: 3)

70. 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. (SCI citation: 10)

69. 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. (SCI citation: 1)

68. 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, 2007. (SCI citation: 7)

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. (SCI citation: 12)

2006 (6):

66. Chen, Y., and D. Zhang*, Data Assimilation for Transient Flow in Geologic Formations via Ensemble Kalman Filter, Adv. Water Resour., 29, 1107–1122, 2006. (SCI citation: 92; ISI Highly Cited Paper)

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., 29(3):397-407, 2006. (SCI citation: 91)

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. (SCI citation: 69)

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. (SCI citation: 9)

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. (SCI citation: 6)

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. (SCI citation: 6)

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. (SCI citation: 49)

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. (SCI citation: 30)

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. (SCI citation: 15)

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. (SCI citation: 3)

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. (SCI citation: 103)

55. Kang, Q., D. Zhang, and P. Lichtner, and I. Tsimpanogiannis, Lattice Boltzmann Model for Crystal Growth from Supersaturated Solution, Geophysical Research Letters, 31, L21604(1-5), 2004. (SCI citation: 32)

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. (SCI citation: 23)

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. (SCI citation: 36)

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. (SCI citation: 18)

51. Zhang, D., and Q. Kang, Pore Scale Simulation of Solute Transport in Fractured Porous Media, Geophysical Research Letters, vol.31(6), 2004. (SCI citation: 14)

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. (SCI citation: 11)

49. Zhang, Y.K., and D. Zhang, Forum: The State of Stochastic Hydrology, Stochastic Environmental Research and Risk Assessment, 18(4):265, 2004. (SCI citation: 12)

48. Zhang, D.*, and Z. Lu, Stochastic Delineation of Well Capture Zones, Stochastic Environmental Research and Risk Assessment, 18(1), 39-46, 2004. (SCI citation: 5)

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. (SCI citation: 2)

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. (SCI citation: 2)

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. (SCI citation: 18)

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. (SCI citation: 51)

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. (SCI citation: 21)

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, 188(1), pp 296 - 317, 2003. (SCI citation: 11)

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. (SCI citation: 10)

40. Lu, Z., and D. Zhang, Solute Spreading in Nonstationary Flows in Bounded Heterogeneous Saturated-Unsaturated Media, Water Resour. Res., 39(3), 1049, DOI:10.1029/2001WR000908, 2003. (SCI citation: 8)

39. Wu, J., B.X. Hu, D. Zhang, and C. Shirley, A Three-Dimensional Numerical Method of Moments for Groundwater Flow and Solute Transport in a Nonstationary Conductivity Field, Adv. Water Resources, 26(11), 1149-1169, 2003. (SCI citation: 11)

38. Wu J., B.X. Hu, and D. Zhang, Applications of Nonstationary Stochastic Theories to Solute Transport in Multi-scale Geological Media, Journal of Hydrology, 275:208-228, 2003. (SCI citation: 8)

37. Hu, B.X., J. Wu, A.K. Panorska, D. Zhang, and C. He, Stochastic Study on Groundwater Flow and Solute Transport in Porous Media with Multi-Scale Heterogeneity, Adv. Water Resources, 26:541-560, 2003. (SCI citation: 2)

2002 (9):

36. 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 citation: 96)

35. Kang, Q., D. Zhang, S. Chen, and X. He, Lattice Boltzmann Simulations of Chemical Dissolution in Porous Media, Physical Review E, 65(3), 2002. (SCI citation: 70)

34. Lu, Z., and D. Zhang*, On Stochastic Modeling of Flow in Multimodal Heterogeneous Formations, Water Resour. Res., 38(10), DOI:10.1029/2001WR001026, 2002. (SCI citation: 42)

33. Kang, Q., D. Zhang, and S. Chen, Unified Lattice Boltzmann Method for Flow in Multiscale Porous Media, Physical Review E, 66(11), 056307, 2002. (SCI citation: 57)

32. Zhang, D.*, and Z. Lu, Stochastic Analysis of Flow in a Heterogeneous Unsaturated-Saturated System, Water Resour. Res., 38(2), DOI:10.1029/2001WR000515, 2002. (SCI citation: 19)

31. Valentine, G., D. Zhang, and B.A. Robinson, Modeling Complex, Nonlinear Geological Processes, Annual Review of Earth and Planetary Sciences, 30: 35-64, 2002. (SCI citation: 9)

30. Lu, Z., and D. Zhang*, Stochastic Analysis of Transient Flow in Heterogeneous, Variably Saturated Porous Media: The van Genuchten-Mualem Constitutive Model, Vadose Zone Journal, 1(1), 137-149, 2002.

29. Lu, G., and D. Zhang*, Nonstationary Stochastic Analysis of Flow in a Heterogeneous Semiconfined Aquifer, Water Resour. Res., 38(8), DOI:10.1029/2001WR000546, 2002. (SCI citation: 3)

28. Hu, B.X., H. Huang, and D. Zhang, Stochastic Analysis of Solute Transport in Heterogeneous, Dual-Permeability Media, Water Resour. Res., 38(9), DOI:10.1029/2001WR000442, 2002. (SCI citation: 5)

2000 (5):

27. 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 citation: 84)

26. Zhang, D.*, R. Andricevic, A.Y. Sun, X.B. Hu, and G. He, Solute Flux Approach to Transport Through Spatially Nonstationary Flow in Porous Media, Water Resour. Res., 36(8), 2107-2120, 2000. (SCI citation: 35)

25. Zhang, D.*, and A.Y. Sun, Stochastic Analysis of Saturated Flow through Heterogeneous Fractured Porous Media: A Double-Permeability Approach, Water Resour. Res., 36(4), 865-874, 2000. (SCI citation: 22)

24. Zhang, D.*, L. Li, and H.A. Tchelepi, Stochastic Formulation for Uncertainty Assessment of Two-Phase Flow in Heterogeneous Reservoirs, Society of Petroleum Engineers Journal, 5(1), 60-70, 2000. (SCI citation: 19)

23. Sun, A.Y., and D. Zhang*, Prediction of Solute Spreading in Unsaturated, Bounded Heterogeneous Porous Media, Water Resour. Res., 36(3), 715-723, 2000. (SCI citation: 11)

1999 (5):

22. Zhang, D.*, Nonstationary Stochastic Analysis of Transient Unsaturated Flow in Randomly Heterogeneous Media, Water Resour. Res., Vol.35, No.4, 1999. (SCI citation: 47)

21. Harter, T., and D. Zhang, Water Flow and Solute Spreading in Heterogeneous Soils with Spatially Variable Water Content, Water Resour. Res., Vol.35, No.2, 1999. (SCI citation: 35)

20. Zhang, D.*, and C.L. Winter, Moment Equation Approach to Single-Phase Fluid Flow in Heterogeneous Reservoirs, Society of Petroleum Engineers Journal, Vol.4, No.2, 1999. (SCI citation: 32)

19. Zhang, D.*, and H. Tchelepi, Stochastic Analysis of Immiscible Two-Phase Flow in Heterogeneous Media, Society of Petroleum Engineers Journal, 4(4), 380-388, 1999.

18. Zhang, D.*, Quantification of Uncertainty for Fluid Flow in Heterogeneous Petroleum Reservoirs, Physica D, 133, 488-497, 1999. (SCI citation: 6)

1998 (4):

17. Zhang, D.*, Numerical Solutions to Statistical Moment Equations of Groundwater Flow in Nonstationary, Bounded Heterogeneous Media, Water Resour. Res., Vol.34, No.3, 1998. (SCI citation: 51)

16. Zhang, D.*, and C.L. Winter, Nonstationary Stochastic Analysis of Steady-State Flow through Variably Saturated, Heterogeneous Media, Water Resour. Res., Vol.34, No.5, 1998. (SCI citation: 32)

15. Zhang, D.*, T. Wallstrom, and L. Winter, Stochastic Analysis of Steady-State Unsaturated Flow in Heterogeneous Media: Comparison of Brooks-Corey and Gardner-Russo Models, Water Resour. Res., Vol.34, No.6, 1998. (SCI citation: 31)

14. Xin, J., and D. Zhang*, Stochastic Analysis of Biodegradation Fronts in One-Dimensional Heterogeneous Porous Media, Adv. Water Resources, Vol.22, No.2, 1998. (SCI citation: 11)

1997 (2):

13. Zhang, D.*, Conditional Stochastic Analysis of Multiphase Transport in Randomly Heterogeneous, Variably Saturated Media, Transport in Porous Media, Vol.27, No.3, 1997. (SCI citation: 1)

12. Zhang, Y.-K., and D. Zhang, Time-Dependent Dispersion of Non-ergodic Solute Transport in Two-Dimensional Heterogeneous Porous Media, ASCE Journal of Hydrologic Engineering, Vol.2, No.2, 1997.

1996 (4):

11. Hsu, K.-C., D. Zhang, and S.P. Neuman, Higher-Order Effects on Flow and Transport in Randomly Heterogeneous Porous Media, Water Resour. Res., Vol.32, No.3, 1996. (SCI citation: 60)

10. Zhang, D., and S.P. Neuman, Effect of Local Dispersion on Solute Transport in Randomly Heterogeneous Porous Media, Water Resour. Res., Vol.32, No.9, 1996. (SCI citation: 41)

9. Zhang, D., and S.P. Neuman, Head and Velocity Covariances Under Quasi-Steady State Flow and Their Effects on Advective Transport, Water Resour. Res., Vol.32, No.1, 1996. (SCI citation: 21)

8. Zhang, Y.-K., D. Zhang, and J. Lin, Non-ergodic Solute Transport in Three-Dimensional Heterogeneous Isotropic Aquifers, Water Resour. Res., Vol.32, No.9, 1996. (SCI citation: 26)

1995(5):

7. Zhang, D., and S.P. Neuman, Eulerian-Lagrangian Analysis of Transport Conditioned on Hydraulic Data: 1. Analytical-Numerical Approach, Water Resour. Res., Vol.31, No.1, 1995. (SCI citation: 55)

6. Zhang, D., and S.P. Neuman, Eulerian-Lagrangian Analysis of Transport Conditioned on Hydraulic Data: 2. Effects of Log Transmissivity and Hydraulic Head Measurements, Water Resour. Res., Vol.31, No.1, 1995. (SCI citation: 23)

5. Zhang, D., and S.P. Neuman, Eulerian-Lagrangian Analysisof Transport Conditioned on Hydraulic Data: 3. Spatial Moments, Travel Time Distribution, Mass Flow Rate and Cumulative Release Across a Compliance Surface, Water Resour. Res., Vol.31, No.1, 1995. (SCI citation: 22)

4. Zhang, D., and S.P. Neuman, Eulerian-Lagrangian Analysis of Transport Conditioned on Hydraulic Data: 4. Uncertain Initial Plume State and Non-Gaussian Velocities, Water Resour. Res., Vol.31, No.1, 1995. (SCI citation: 12)

3. Zhang, D., Impacts of Local Dispersion and First-Order Decay on Solute Transport in Randomly Heterogeneous Porous Media, Transport in Porous Media, Vol.21, No.2, 1995. (SCI citation: 6)

Others (2):

2. Zhang, D., and S.P. Neuman, Comment on “A Note on Head and Velocity Covariances in Three-Dimensional Flow through Heterogeneous Anisotropic Porous Media” by Y. Rubin and G. Dagan, Water Resour. Res., Vol.31, No.12, 1992. (SCI citation: 37)

1. Zhang, D., Rotating Sense Determination in Planar Gear Train by Use of Complex Number, Journal of Northeastern University, P. R. China, No.1, 1988.

Papers in Books and Conference Proceedings:

41. Wu, T., Z. Jiang, and D. Zhang, A Case Study of Fluid Transport in Shale Crushed Samples: Experiment and Interpretation, 2014 International Symposium of the Society of Core Analysis, Avignon, France, 8-12 September 2014.

40. Ghods, P., and D. Zhang, Automatic Estimation of Fracture Properties in Multi-stage Fractured Shale Gas Horizontal Wells, SPE Western Regional Meeting, Bakersfield, CA: SPE 153913, 2012.

39. Zhang, D., H. Li, and H. Chang, History Matching for Non-gaussian Random Fields Using the Probabilistic Collocation Based Kalman Filter, SPE 141893, 2009 SPE Reservoir Symposium, The Woodlands, Texas, Feb. 21-23, 2011.

38. Li, W., D. Oyerinde, D. Stern, X.H. Wu, and D. Zhang, Probabilistic Collocation Based Kalman Filter for Assisted History Matching, SPE 141930, 2009 SPE Reservoir Symposium, The Woodlands, Texas, Feb. 21-23, 2011.

37. Jahangiri, H.R., and D. Zhang, Optimization of Carbon Dioxide Sequestration and Enhanced Oil Recovery in Oil Reservoir, SPE Western Regional Meeting, Anaheim, CA: SPE 133594, 2010.

36. Ghods, P., and D. Zhang. Ensemble Based Characterization and History Matching of Naturally Fractured Tight/Shale Gas Reservoirs, SPE Western Regional Meeting, Anaheim, CA: SPE133606, 2010.

35. Jahangiri, H.R., and D. Zhang, Optimization of the Net Present Value of Carbon Dioxide Sequestration and Enhanced Oil Recovery, OTC 21985, 2011 Offshore Technology Conference, Houston, Texas, USA, 2–5 May 2011.

34. Chang, H., Y. Chen, and D. Zhang, Data Assimilation of Coupled Fluid Flow and Geomechanics via Ensemble Kalman Filter, SPE 118963, 2009 SPE Reservoir Symposium, The Woodlands, Texas, Feb. 2-4, 2009.

33. Li, H., H. Chang, and D. Zhang, Stochastic Collocation Methods for Efficient and Accurate Quantification of Uncertainty in Multiphase Reservoir Simulations, SPE 118964, 2009 SPE Reservoir Symposium, The Woodlands, Texas, Feb. 2-4, 2009.

32. Zhang, D., H. Li, H. Chang, and G. Yan, Non-Intrusive Stochastic Approaches for Efficient Quantification of Uncertainty Associated with Reservoir Simulations, 11th European Conference on the Mathematics of Oil Recovery, Bergen, Norway, 8-11 September 2008.

31. Lu, Z., D. Zhang, and Y. Chen, Information Fusion Using the Kalman Filter Based on Karhunen-Loeve Decomposition, in Quantitative Information Fusion for Hydrological Sciences by X. Cai and T.C. J. Yeh, 2008.

30. Klie, H.M., M.F. Wheeler, G. Liu, and D. Zhang, Stochastic Subspace Projection Methods for Efficient Multiphase Flow Uncertainty Assessment, 10th European Conference on the Mathematics of Oil Recovery , Amsterdam, The Netherlands, 4-7 September 2006.

29. Zhang, D., Z. Lu, and G. Liu, An Efficient Stochastic Decomposition Approach for Large-Scale Subsurface Flow Problems, Computational Method for Water Resources - XVI, 18-22 June 2006, Copenhagen, Denmark.

28. Kang, Q., P. Lichtner, and D. Zhang, Recent Progresses in Lattice Boltzmann Simulations of Flow and Multi-Component Reactive Transport in Porous Media, Computational Method for Water Resources - XVI, 18-22 June 2006, Copenhagen, Denmark.

27. Zhang, D., Z. Lu, and Y. Chen, Dynamic Reservoir Data Assimilation with an Efficient, Dimension-Reduced Kalman Filter, 2005 SPE Annual Technical Conference and Exhibition, Dallas, Texas, U.S.A., 9 – 12 October 2005.

26. Zhang, D., Multiscale Modeling of Flow and Transport in Fractured Porous Media via the Lattice Boltzmann Method, 3rd Biot Conference on Poromechanics, Norman, OK, May 24-27, 2005.

25. Lu, Z., and D. Zhang, Accurate, Efficient Quantification of Uncertainty for Flow in Heterogeneous Reservoirs Using the KLME Approach, SPE paper #93452, 2005 SPE Reservoir Symposium, Houston, Texas, Jan. 31-Feb. 2, 2005.

24. Lu, Z., Higdon, and D. Zhang, A Markov Chain Monte Carlo Method for the Groundwater Inverse Problem, Proceedings of the 15th International Conference on Computational Methods in Water Resources, June 13-17, 2004, Chapel Hill, NC, USA.

23. Lu, Z. , and D. Zhang, Stochastic Analysis of Flow in Heterogeneous, Nonstationary Unsaturated-Saturated Porous Media, Proceedings of the 10th International High-Level Radioactive Waste Management Conference, American Nuclear Society, 13-19, 2003

22. Lu, Z., and D. Zhang, An Efficient Approach for Simulating Saturated Flow in Randomly Heterogeneous Porous Media Conditioned on Hydraulic Conductivity Measurements, Proceedings of MODFLOW and More 2003: Understanding through Modeling, Sept 16-20, Boulder, CO.

21. Zhang, D., and Z. Lu, Monte Carlo Simulations of Solute Transport in Bimodal Randomly Heterogeneous Porous Media, Proceeding of World Water & Environmental Resources Congress 2003 and Symposium of Probabilistic Approaches and Groundwater Modeling, June 22-26, 2003, Philadelphia, PA.

20. Lu, Z., and D. Zhang, Higher-Order Approximations for Saturated Flow in Random Heterogeneous Media via Karhunen-Loeve Decomppsition, Proceeding of World Water & Environmental Resources Congress 2003 and Symposium of Probabilistic Approaches and Groundwater Modeling, June 22-26, 2003, Philadelphia, PA.

19. Pawar, R.J., N. Warpinski, B. Stubbs, and D. Zhang, Numerical Modeling of CO2 Sequestration in a Depleted Oil Reservoir, Proceedings of the 2nd Annual Conference on Carbon Sequestration, Alexandria, VA, May 5-8, 2003.

18. Lu, Z., and D. Zhang, Stochastic Analysis of Flow in Heterogeneous, Nonstationary Unsaturated-Saturated Porous Media, Proceeding of the International High-Level Radioactive Waste Management Conference, March 30-April 2, 2003, Las Vegas, NV.

17. Zhang, D., Q. Kang, and S. Chen, Study of Fluid Flow, Transport and Reaction in Porous Media with the Lattice Boltzmann Method, the XIV International Conference on Computational Methods in Water Resources, Delft, The Netherlands, June 23-28, 2002.

16. Zhang, D., and Z. Lu, Stochastic Analysis of Well Capture Zones in Heterogeneous Porous Media, the 4th International Conference on Calibrating and Reliability in Groundwater Modeling (ModelCARE 2002), Prague, Czech Republic, June 17-20, 2002.

15. Hu, B.X., J. Wu, D. Zhang, and C. Shirley, A Numerical Method of Moments for Solute Flux in Nonstationary Flow Fields, the 4th International Conference on Calibrating and Reliability in Groundwater Modeling (ModelCARE 2002), Prague, Czech Republic, June 17-20, 2002.

14. Krumhansl, J., R. Pawar, H. Westrich, N. Warpinski, D. Zhang, and others, Geological Sequestration of Carbon Dioxide in a Depleted Oil Reservoir, SPE/DOE Thirteenth Symposium on Improved Oil Recovery, Tulsa, Oklahoma, April 13-17, 2002.

13. Lu, Z., and Zhang, D., and E. Keating, Applicability of Unimodal Stochastic Approaches in Simulating Flow in Bimodal Heterogeneous Formations, International Groundwater Symposium on “Bridging the Gap between Measurement and Modeling in Heterogeneous Media”, Berkeley, California, March 25-28, 2002.

12. Pawar, R.J., D. Zhang, D., H.R. Westrich, and C. Byrer, Sequestration of CO2 in a Depleted Oil Reservoir: Numerical Simulations Related to a Field Demonstration,
International Pittsburgh Coal Conference, Newcastle NSW, Australia, December 4-7, 2001.

11. Pawar, R.J., D. Zhang, D., B. Stubbs, and H.R. Westrich, Sequestration of CO2 in a Depleted Oil Rreservoir: Preliminary Simulation Study, the 1st National Carbon Sequestration Conference Proceedings, May 15-17, 2001.

10. Zhang, D., among others, Sequestration of CO2 in a Depleted Oil Reservoir: An Overview, the 1st National Carbon Sequestration Conference Proceedings, May 15-17, 2001.

9. Zhang, D., L. Li, and H.A. Tchelepi, Stochastic Formulation for Uncertainty Assessment of Two-Phase Flow in Heterogeneous Reservoirs, the 15th Reservoir Simulation Symposium, 1999.

8. Harter, Th., D. Zhang, and S. Ezzedine, Non-point Source Pollution on the Field Scale: Heterogeneity and Uncertainty, in 1997 Joint Chapman/SSSA Outreach Conference: Applications of GIS, Remote Sensing, Geostatistics, and Solute Transport Modeling to the Assessment of Non-Point Source Pollutants in the Vadose Zone, 1997.

7. Zhang, D., and Y.-K. Zhang, Higher-Order Velocity Covariance and Its Effect on Advective Transport in Three-Dimensional Heterogeneous Anisotropic Media, in Computational Methods in Water Resources XI, 1996.

6. Ksu, K.-C., D. Zhang, and S. P. Neuman, Higher-Order Effects on Flow and Transport in Randomly Heterogeneous Porous Media, in Advances in Ground Water Pollution Control and Remediation, ed. by M. M. Aral, Kluwer Academic Pub., Dordrecht, pp. 75-96, 1996.

5. Zhang, D., and S.P. Neuman, A Stochastically-Derived, Deterministic Model of Solute Transport Conditioned on Hydraulic Data, in Models for Assessing and Monitoring Groundwater Quality, ed. by B.J. Wagner, T.H. Illangasekare and K.H. Jensen, IAHS Publ. no. 227, 1995.

4. Harter, Th., and D. Zhang, Conditional Prediction of Transport in Unsaturated, Heterogeneous Porous Media: Monte Carlo Simulation vs. Eulerian-Lagrangian Theory, in Models for Assessing and Monitoring Groundwater Quality, ed. by B.J. Wagner, T.H. Illangasekare and K.H. Jensen, IAHS Publ. no. 227, 1995.

3. Zhang, D., and S.P. Neuman, Information-Dependent Prediction of Solute Transport in Heterogeneous Geologic Media, in Computational Methods in Water Resources X, ed. by A. Peters, G. Wittum, B. Herling, and U. Meissner, Kluwer Academic Publ., Netherlands, Vol.1, 545--552, 1994.

2. Neuman, S.P., and D. Zhang, Considerations of Scale and Information Content in Subsurface Flow and Transport Modeling, in Proc. Joint USGS/USNRC Technical Workshop on Research Related to Low-Level Radioactive Waste Disposal, Reston, Virginia, 1994.

1. Neuman, S.P., O. Levin, S. Orr, E. Paleologos, D. Zhang, and Y.-K. Zhang, Nonlocal Representations of Subsurface Flow and Transport by Conditional Moments, Computational Stochastic Mechanics, ed. by A.H.-D. Cheng and C.Y. Yang, Computational Mechanics Publications, Southampton, United Kingdom, 1993.