張東曉外聘博導美國國家工程院院士

作者：發布者：係統管理員發布時間：2018-03-15 訪問次數：3459

»姓名：張東曉	»職稱：教授
»係屬：	»最高學曆/學位：博士
»學科：油氣田開發工程學科	»所學專業：油氣田開發工程
»電子郵箱：donzhang01@gmail.com
»聯係電話：86-10-6275-7427
»地址郵編：北京市海澱區頤和園路5，北京大學工學院, 燕南園60號，郵編 100871
»個人主頁：

◎學習與工作經曆
學習經曆：
1993.1-1993.12 美國亞利桑那大學工學院水文與水資源係水文學博士，博士論文: Conditional Stochastic Analysis of Solute Transport in Heterogeneous Geologic Media，導師: Shlomo P. Neuman院士.
1991.8-1992.12 美國亞利桑那大學工學院水文與水資源係水文學理學碩士，碩士論文: Some Aspects of Stochastic Flow and Transport in Complex Geologic Media，導師: Shlomo P. Neuman院士.
1990.8-1991.7 美國亞利桑那大學工學院采礦與地質工程係地質工程方向碩士研究生.
1988.8-1989.7 東北大學采礦工程係岩石力學方向碩士研究生.
1984.8-1988.7 東北大學采礦工程係理學學士，學士論文: A Moire Gauge for Measuring Rock Strain (獲批專利)，畢業排名：No.1/60

工作經曆：
2017.11-至今北京大學研究生院常務副院長
2013.07-至今北京大學工學院院長，北京大學海洋研究院院長，能源與資源工程係講席教授
2010.8-2013.6 北京大學工學院常務副院長，能源與資源工程係講席教授
2007.8-2010.8 美國南加州大學土木與環境工程係和化學工程與材料科學係，水資源與石油工程Marshall講席教授
2005.7-2010.8 北京大學工學院創院副院長（2005-2007），能源和資源工程係講席教授，首任係主任（2005-2007）
2004.3-2007.7 美國俄克拉荷馬大學石油與地質工程係，米勒講席教授（終身製）
1996.9-2004.3 美國Los Alamos國家實驗室地球和環境科學部，高級研究員和研究室主任（1999-2003）
2002.8-2002.12 香港科技大學土木工程係訪問學者，從Los Alamos國家實驗室學術休假
教學：隨機地下水文學，研究：地表/地下流動的耦合
2003.6-2010.12 南京大學地球科學係兼任教授，長江學者講席教授（2005年起）
2000.12-2009.12 美國地球物理聯合會《水資源研究》（Water Resources Research）副主編
2002.8-2012.12 國際石油工程師雜誌(SPE Journal) 副主編
2003.7-2008.12 美國土壤科學學會《非飽和帶雜誌》（Vadose Zone Journal）副主編
2004.7-至今 Elsevier出版社Advances in Water Resources編委會成員
2005.1-2011.12 美國工業與應用數學學會Multiscale Modeling and Simulation副主編
2007.1-至今 Springer出版社Journal of Computational Geosciences副主編
2010.1-至今《溫室氣體：科學與技術》（Greenhouse Gases: Science and Technology）編輯顧問
1995.3-1996.8 Daniel B. Stephens＆Associates有限公司高級水文學家
1994.1-1995.2 亞利桑那大學水文和水資源係助理研究員
1993.1-1993.12 亞利桑那大學水文和水資源係研究助理
1991.8-1992.12 亞利桑那大學水文和水資源係研究生研究助理
1990.8-1991.7 亞利桑那大學采礦與地質工程係研究生教學助理

◎研究方向
油氣開釆、地熱開發與利用、二氧化碳埋藏等。

◎承擔科研課題
(1) 北京工程科學與新興技術高精尖創新中心（BIC-ESAT），北京市項目，北京大學，項目負責人、中心主任，2015.9－2019.9.
(2) 頁岩氣開發水資源汙染風險的評估與監測設計研究，基金委國際合作重點項目，北京大學，項目負責人，2016－2020.
(3) 頁岩氣流動機理實驗（私人捐贈），項目負責人，2014－2017.
(4) 頁岩氣開采機理、數值模擬和生產優化，國家自然科學基金委重點項目，項目負責人，2013－2016.
(5) 大規模燃煤電廠煙氣CO2捕集、驅油及封存技術開發及應用示範，國家科技支撐計劃，課題骨幹專家，2012－2015.
(6) 中國碳儲存盆地地圖繪製原理，中國地質調查局，項目負責人，2010-2012.
(7) 神華10萬噸/年碳儲存項目技術支持，北京大學-中國科學院-北京師範大學，項目負責人，2010-2012.
(8) 煤層氣開采機製研究，中石油，項目負責人，2009-2010.
(9) 中國鹹水含水層CO2埋存的基礎研究，美國Stanford大學GCEP項目，北京大學－中國地大（武漢）－南加大，總負責人, 2009－2011.
(10) “合作研究：通過快速超可擴展隨機有限元方法模擬碳封存的不確定性量化”，美國國家科學基金會，項目共同負責人，2009-2011.
(11) “基於生產數據和沉降觀測更新和改進油藏模型”，雪佛龍Cisoft計劃，項目負責人，2008-2009.
(12) “提高頁岩氣采收率”，美國能源公司，項目共同負責人，2008-2009.
(13) OU-CEM “OU 集合隨機方法”工業聯盟，南加州大學項目代表負責人，2007-2008.
(14) “CMG聯合研究：地下水流和反應運移的隨機多尺度建模”，美國國家科學基金，項目共同負責人，2006-2009.
(15) OU-CEM“OU集合隨機方法”工業聯盟, 項目共同負責人, 2006-2009
(16) 國家973項目：溫室氣體提高石油采收率的資源化利用及地下埋存，第3課題負責人（CO2地下埋存的監測和前緣預測技術）, 2007－2011.
(17) “大尺度多孔介質中流動的隨機動態數據同化”，國家自然科學基金委員會（NSFC）傑出青年科學基金，項目負責人，2007- 2011.
(18) “耦合流動和地質力學的隨機不確定性量化和數據同化”，斯倫貝謝北京地球科學中心（BGC），項目負責人，2006-2008.
(19) “利用隨機過程方法研究非均質節理裂隙岩石含水層中的地下水運移規律”, 美國國家科學基金會, 負責人, 2005-2006.
(20) 油田模擬不確定性的高效率定量化, 美國化學學會石油研究基金, 負責人, 2005-2007.
(21) “二氧化碳地質埋存的尺度升級”, 美國Los Alamos 國家實驗室，項目負責人，2005-2006.
(22) “Barnett 頁岩天然氣開采影響因素的縱合研究”, Devon Energy Corporation, 第二負責人, 2005-2007.
(23) “油田行為仿真中不確定性的直接定量化”，美國Los Alamos國家實驗室，項目負責人，2005.
(24) “海底沉積物中水合物形成的孔隙尺度模擬”，美國Los Alamos國家實驗室，項目負責人，2005.
(25) “海底水合物的微尺度模擬”, Los Alamos國家實驗室, 負責人, 2005.
(26) “地質介質中CO2的存儲的基礎研究”, Los Alamos國家實驗室, 負責人, 2003～2006.
(27) “枯竭油庫中CO2存儲的模擬和現場試驗”, 美國能源部, Los Alamos國家實驗室負責人, 2000～2003.
(28) “多孔介質和裂縫型介質中的多相流動、運移和反應”，美國Los Alamos國家實驗室，項目共同負責人，2003-2005.
(29) “地下含水層邊緣地區城市化深基坑的影響”，香港研究資助委員會（RGC），項目共同負責人，2003-2005.
(30) “油田行為仿真中不確定性的直接定量化”, 美國能源部, 負責人, 2002～2003.
(31) “油氣庫的先進信息管理”, 美國能源部, 負責人, 2001.
(32) “孔隙介質的隨機多相流模型”, Los Alamos 國家實驗室CARE計劃, 第二負責人, 2003.
(33) “隨機孔隙介質中兩相流體的矩方法”，美國Los Alamos國家實驗室，項目負責人, 1997～1998.
(34) “不均勻介質對複雜流體流動與汙染物運移的作用”, Los Alamos 國家實驗室CARE計劃, 第二負責人, 2000-2003.
(35) “非均勻滲流場多相流的隨機模型研究”, Chevron 石油技術公司, 負責人, 1998-2002.
(36) “多孔介質中多相流的多尺度物理學”，美國Los Alamos 國家實驗室，項目負責人, 1999-2001
(37) “Nevada測試基地的Typo/Benham現場反應物運移的不確定性分析”, 美國能源部, 負責人, 1998-2000.
(38) “支持破裂山丘現場汙染運移實驗的瞬態非飽和流的隨機模型研究”,美國能源部, 負責人, 1998-2000.
(39) “隨機孔隙介質中兩相流體的矩方法”, Los Alamos國家實驗室, 負責人, 1997～1998.

◎獲獎情況
2017年當選美國國家工程院院士
2017年當選為石油工程師學會（Society of Petroleum Engineers, 即 SPE）榮譽會員
2011年“中國百篇最具影響國際學術論文”獎
2011年當選美國斐陶斐學院榮譽成員
2009年當選美國地質學會會士
2007年石油工程學會學報傑出評審人獎
2006年石油工程學會學報傑出編輯獎
2007 - 2011年國家自然科學基金委傑出青年基金
2006-2010 長江學者講座教授
2005-2007年中國科學院海外傑出青年基金
2005-2007中國科學院海外評審專家委員會委員
2002年當選中國地球科學促進會成員
1999年Los Alamos獎
1997年美國Los Alamos國家實驗室亞洲傑出員工獎
1984 - 1988年傑出學生獎

◎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.

◎論文
(* 表示為通訊作者):

在審論文:
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 (縫洞型油藏井鑽遇大尺度部分充填溶洞數學模型), 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. (頁岩氣開發機理和關鍵問題, 科學通報)
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. (頁岩氣開發水力壓裂技術的環境影響,石油勘探與開發,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. (張東曉, 楊婷雲. 頁岩氣開發綜述. 石油學報, 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“中國百篇最具影響國際學術論文”)
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高被引論文)
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.