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xk星空官网 Dongxiao
Chair Professor
Member of the National Academy of Engineering (USA)
zhangdx@sustech.edu.cn

Professor xk星空官网 is the Provost at Southern University of Science and Technology, Shenzhen, China. He is a Member of the U.S. National Academy of Engineering, an Honorary Member of Society of Petroleum Engineers, and a Fellow of Geological Society of America. He had held positions as Senior Scientist at Los Alamos National Laboratory, Miller Chair Professor at the Department of Petroleum and Geological Engineering at the University of Oklahoma, Chair Professor at the University of Southern California, Executive Dean of Graduate School and Dean of College of Engineering at Peking University. He has authored 2 books and published over 180 peer-reviewed papers. He earned both his Master’s degree and Ph.D. in hydrology and water resources in 1992 and 1993, respectively, from the University of Arizona. Professor xk星空官网 is an internationally well known expert in unconventional oil and gas production, groundwater hydrology, and geological carbon sequestration, whose research achievements in stochastic modeling, numerical simulation, inverse modeling and machine learning are widely adopted by his peers. Professor xk星空官网 has been an associate editor for SPE Journal, Water Resource Research, Advances in Water Resources, SIAM Multiscale Modeling and Simulation, Journal of Computational Geosciences, Journal of Natural Gas Science and Engineering, and Vadose Zone Journal. He has served as a panelist on the RCUK Review of Energy, UK Research Councils, a member of US National Research Council’s Committee on New Research Opportunities in the Earth Sciences, and a council member of World Economic Forum Global Agenda Council on New Energy Architecture.

 

Education:

1/93-12/93Ph.D. in Hydrology. Dissertation: Conditional Stochastic Analysis of Solute Transport in Heterogeneous Geologic Media. Advisor: Regents’ Professor Shlomo P. Neuman. Dept. of Hydrology and Water Resources, College of Engineering, University of Arizona, Tucson.
8/91-12/92M.Sc. in Hydrology. Thesis: Some Aspects of Stochastic xk星空官网 and Transport in Complex Geologic Media. Advisor: Regents’ Professor Shlomo P. Neuman. Dept. of Hydrology and Water Resources, College of Engineering, University of Arizona, Tucson.
8/90-7/91Graduate Studies in Geological Engineering. Dept. of Mining and Geological Engineering, College of Engineering, University of Arizona, Tucson.
8/88-7/89Graduate Studies in Rock Mechanics. Dept. of Civil and Mining Engineering. Northeastern University, Shenyang, China.
8/84-7/88B.Sc. in Engineering. Bachelor’s Thesis: A Moire Gauge for Measuring Rock Strain (A Patent Awarded). Graduated first in a class of 60. Dept. of Civil and Mining Engineering, Northeastern University, Shenyang, China.

 

Experience:

07/19-presentProvost and Chair Professor, Southern University of Science and Technology (SUSTech), Shenzhen, China.
11/17-08/19Executive Dean, Graduate School, Peking University (PKU), Beijing, China.
07/13-07/19Dean, College of Engineering, Peking University (PKU), Beijing, China; Director, PKU Institute of Ocean Research; Chair Professor, Dept. of Energy and Resources Engineering.
08/10-06/13Executive Dean, College of Engineering; Chair Professor, Dept. of Energy and Resources Engineering, Peking University, Beijing, China.
08/07-08/10Gordon S. Marshall Professor of Water Resources & Petroleum Engineering, the Sonny Astani Dept. of Civil and Environmental Engineering and the Mork Family Dept. of Chemical Engineering and Materials Science, the University of Southern California.
07/05-08/10Guest Professor, and Founding Chair (2005-2007, Consulting), Dept. of Energy and Resources Engineering; Founding Vice Dean (2005-2007, Consulting), College of Engineering, Peking University, Beijing, China.
03/04-07/07Miller Chair Professor, Mewbourne School of Petroleum and Geological Engineering, the University of Oklahoma.
09/96-03/04Senior Research Scientist, and Team Leader (1999-2003), Earth and Environmental Sciences Division, Los Alamos National Laboratory.
08/02-12/02Visiting Faculty, Dept. of Civil Engineering, Hong Kong University of Science and Technology. Sabbatical leave from Los Alamos National Lab. Teaching: Stochastic Subsurface Hydrology. Research: Coupling of Surface/Subsurface Flows.
06/03-12/10Adjunct Professor, Dept. of Earth Sciences, Nanjing University, Nanjing, China.
12/01-12/09Associate Editor, Water Resources Research, American Geophysical Union.
08/02 -presentAssociate Editor, Society of Petroleum Engineers Journal (SPE Journal).
07/03-12/08Associate Editor, Vadose Zone Journal, the Soil Science Society of America.
07/04-presentEditorial Board, Advances in Water Resources Research.
01/05-12/11Associate Editor, SIAM Multiscale Modeling and Simulation.
01/07-presentAssociate Editor, Journal of Computational Geosciences.
01/10-presentConsultant Editor, Greenhouse Gases: Science and Technology.
03/95-08/96Senior Hydrologist, Daniel B. Stephens & Associates, Inc.
01/94-02/95Assistant Research Scientist, Dept. of Hydrology and Water Resources, University of Arizona.
01/93-12/93Graduate Research Associate, Dept. of Hydrology and Water Resources, University of Arizona.
08/91-12/92Graduate Research Assistant, Dept. of Hydrology and Water Resources, University of Arizona.
08/90-07/91Graduate Teaching Assistant, Dept. of Mining and Geological Engineering, University of Arizona.

 

Honors and Awards:

Elected Member, the U.S. National Academy of Engineering, 2017.
Honorary Membership Award, Society of Petroleum Engineers, 2017.
Distinguished Member Award, Society of Petroleum Engineers, 2017.
Recipient of “Top 100 Most Cited Chinese Papers Published in International Journals” Award, 2011.
Elected Member, The Phi Tau Phi Scholastic Honor Society of America, 2011.
Elected Fellow, Geological Society of America, 2009.
Society of Petroleum Engineers Journal, 2007 Outstanding Review Chair Award.
Society of Petroleum Engineers Journal, 2006 Outstanding Technical Editor Award.
Natural Science Foundation of China, Outstanding Young Researcher Award, 2007-2011.
Chinese Academy of Sciences, Outstanding Young Oversea Researcher Foundation Award, 2005-2007.
Elected Member of Chinese Academy of Sciences’ Oversea Evaluation Expert Committee, 2005-2007.
Elected Member, IPACES (International Professionals for the Advancement of Chinese Earth Sciences), since 2002.
Los Alamos Award, 1999.
LANL Outstanding Asian Employee, 1997.
Top Student Awards, 1984-1988.

 

Professional Memberships:

AGU, American Geophysical Union, since 1992.
SPE, Society of Petroleum Engineers, since 1999; Honorary Membership, since 2017.
GSA, Geological Society of America, since 2001; Fellow, since 2009.
ASCE, American Society of Civil Engineers, since 2003.
SIAM, Society of Industrial and Applies Mathematics, since 2005.
NAE, the U.S. National Academy of Engineering, Member, since 2017.

 

Publications

Researcher ID: https://publons.com/researcher/2968087/dongxiao-xk星空官网/
Google Scholar Author Profile: Dongxiao xk星空官网 (http://scholar.google.com/citations?user=HJdIx6QAAAAJ&hl=en)

 

Books:

  1. xk星空官网, D., Stochastic Methods for Flow in Porous Media: Coping with Uncertainties, Academic Press, San Diego, Calif., ISBN 012-7796215, pp.350, 2002.  (SCI citation: 410；Google Scholar: 610)

  2. xk星空官网, D., and C.L. Winter, editors, Theory, Modeling and Field Investigation in Hydrogeology, Geological Society of America, pp.245, 2000.

 

Papers in Refereed Journals (* indicates corresponding author):

 

Under Review:

  1. Zheng, Q., and xk星空官网*, Digital rock reconstruction with user-defined properties using conditional generative adversarial networks,Journal of Geophysical Research – Solid Earth, under review, 2020.

  2. Xu, H.,D. xk星空官网*, N. Wang,Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data, Journal of Computational Physics, under review, 2020.

  3. Wang, N., H. Chang, and D. xk星空官网*, Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling, Computer Methods in Applied Mechanics and Engineering, under review, 2020.

  4. Xu, H.,xk星空官网*, and J. Zeng, Deep-learning of Parametric Partial Differential Equations from Sparse and Noisy Data, Phys. Rev. Research, under review, 2020.()

  5. Luo, X.,D. xk星空官网*, and X. Zhu, Deep Learning Based Forecasting of Photovoltaic Power Generation via Theory-guided LSTM, Energy, under review, 2020. (Preprint available at )

  6. Zheng, J., P. Tang, H. xk星空官网, and D. xk星空官网*, Simulating particle settling in inclined narrow channels with the unresolved CFD-DEM method, Phys. Rev. Fluids,under review, 2020.

  7. Wang, N., H. Chang, and D. xk星空官网*, Deep-Learning based Inverse ModelingApproaches:A Subsurface xk星空官网 Example, Journal of Geophysical Research – Solid Earth, under review, 2020.

  8. Xu, R.,D. xk星空官网*, M. Rong, and N. Wang,Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase xk星空官网, Journal of Computational Physics, under review, 2020.

  9. Rong, M.,D. xk星空官网*, and N. Wang, A Lagrangian Dual-based Theory-guided Deep Neural Network, Complex& Intelligent Systems, under review, 2020. ()

  10. Jiang, C., and D. xk星空官网*, Lithology identification from well log curves via neural networks with additional geological constraint, Geophysics, under review, 2020.

  11. Xia, Z., P. xk星空官网, and D. xk星空官网*, Nanopore characteristics of lacustrine shale oil reservoir in the Shahejie Formation, Bohai Bay Basin, China, Journal of Natural Gas Science & Engineering, under review, 2020.

  12. Yang, W., and D. xk星空官网*, Experimental investigate of multiphase xk星空官网 in 3D-printed, filled fracture-vug media, Journal of Natural Gas Science & Engineering, under review, 2020.

  13. xk星空官网, T. andxk星空官网*, Deep Learning of Dynamic Subsurface xk星空官网 via Theory-guided Generative Adversarial Network, Journal of Hydrology, under review, 2020.(arXiv:2006.13305)

  14. xk星空官网, W.,D. xk星空官网*, and J. Zhao, Experimental investigation of water sensitivity effects on microscale mechanical behavior of shale, International Journal of Rock Mechanics and Mining Sciences, under review, 2020. (Preprint available online at ESSOAr: )

 

2021 (2):

  1. Wang, N., H. Chang*, and xk星空官网*, Efficient Uncertainty Quantification for Dynamic Subsurface xk星空官网 with Surrogate by Theory-guided Neural Network, Computer Methods in Applied Mechanics and Engineering, https://doi.org/10.1016/j.cma.2020.113492, 2021. ()

  2. Chen, Y., and D. xk星空官网*, Theory guided deep-learning for load forecasting (TgDLF) via ensemble long short-term memory (EnLSTM), Advances in Applied Energy, doi.org/10.1016/j.adapen.2020.100004, 2020. (Preprint available at )

 

2020 (20):

  1. Chen, Y., and D. xk星空官网*, Well log generation via ensemble long short-term memory (EnLSTM) network, Geophy. xk星空官网. Lett., DOI:10.1029/2020GL087685, 2020

  2. xk星空官网, S., A. Firoozabadi*, and xk星空官网*, Hydromechanical Modeling of Nonplanar Three-Dimensional Fracture Propagation Using an Iteratively Coupled Approach, Journal of Geophysical Research – Solid Earth, 10.1029/2020JB020115, 2020. (Preprint available online at ESSOAr: )

  3. Zhao, J., W. xk星空官网, R. Wei, Y. Wang, and xk星空官网*, Influence of geochemical features on the mechanical properties of organic matter in shale, Journal of Geophysical Research – Solid Earth, 10.1029/2020JB019809, 2020. (Preprint available online at ESSOAr: )

  4. Xu, H., H. Chang*, and xk星空官网*, DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm, Journal of Computational Physics, DOI: 10.1016/j.jcp.2020.109584, 2020. ()

  5. Xu, H., H. Chang*, and xk星空官网*, DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data, Commun. Comp. Phys., in press, 2020. ()

  6. Wang, N.,D. xk星空官网*, H. Chang, and H. xk星空官网, Deep Learning of Subsurface Flow via Theory-guided Neural Network, Journal of Hydrology, 10.1016/j.jhydrol.2020.124700, 2020. ()

  7. Zhao, L., H. Li*, J. Meng, and D. xk星空官网, Efficient uncertainty quantification for permeability of three-dimensional porous media through image analysis and pore-scale simulations,Rev. E, 102, 023308, DOI: 10.1103/PhysRevE.102.023308, 2020.

  8. Wu, T., J. Zhao, W. xk星空官网, and D. xk星空官网*, Nanopore Structure and Nanomechanical Properties of Organic-Rich Terrestrial Shale: An Insight into Technical Issues for Hydrocarbon Production, Nano Energy, 69: 104426, 10.1016/j.nanoen.2019.104426, 2020.

  9. Zhao, J., and D. xk星空官网*, Dynamic crack propagation in heterogeneous shale at microscale, Engineering Fracture Mechanics, , 2020.

  10. Chen, Y., and D. xk星空官网*, Physics-constrained deep learning of geomechanical logs, IEEE Transactions on Geoscience and Remote Sensing, 10.1109/TGRS.2020.2973171, 2020.

  11. xk星空官网, X., X. xk星空官网, D. xk星空官网*, and R. Yu, A dual grid, implicit, and sequentially coupled geomechanics-and-composition model for fractured reservoir simulation, SPE Journal, DOI: 10.2118/201210-PA, 2020.

  12. Lei, G., Q. Liao*, D. xk星空官网, S. Patil, A mechanistic model for permeability in deformable gas hydrate-bearing sediments, Journal of Natural Gas Science & Engineering, , 2020.

  13. Yang, W.,xk星空官网*, and G. Lei, Experimental study on multiphase xk星空官网 in fracture-vug medium using 3D Printing Technology and Visualization Techniques, Journal of Petroleum Science and Engineering, , 2020. (Preprint available online at ESSOAr: 10.1002/essoar.10502278.1)

  14. xk星空官网, S. Z. Kang, X.-T. Feng, Z. Pan, X. Huang, and xk星空官网*, Three‐dimensional hydrochemical model for dissolutional growth of fractures in karst aquifers, Water Resources Research, 56, e2019WR025631, https://doi.org/10.1029/2019WR025631, 2020.

  15. Wu, T.,xk星空官网*, & X. xk星空官网, A radial differential pressure decay method with micro-plug samples for determining the apparent permeability of shale matrix, Journal of Natural Gas Science & Engineering, 74: 103126, 10.1016/j.jngse.2019.103126, 2020.

  16. Chen, Y., and xk星空官网*, Physics-constrained indirect supervised learning, Theoretical and Applied Mechanics Letters, 10: 1-6, http://dx.doi.org/10.1016/j.taml.2020.01.019, 2020.

  17. Yang, W., J. Zeng, and xk星空官网*, Contrasting phase field method and pairwise force smoothed particle hydrodynamics method in simulating multiphase xk星空官网 through fracture-vug medium, Journal of Natural Gas Science and Engineering, https://doi.org/10.1016/j.jngse.2020.103424, 2020.

  18. Liao, Q., G. Lei, Z. Wei, xk星空官网*, and S. Patil, Efficient Analytical Upscaling Method for Elliptic Equations in Three-dimensional Heterogeneous Anisotropic Media, Journal of Hydrology, , 2020.

  19. xk星空官网, Y., Q. Wen, and D. xk星空官网*, A novel targeted-plugging and fracture-adaptable gel used as a diverting agent in fracturing, Energy Science & Engineering, , 2020.

  20. Teng, Y., and xk星空官网*, Comprehensive study and comparison of equilibrium and kinetic models in simulation of hydrate reaction in porous media, Journal of Computational Physics, ,2020.

 

2019 (13):

  1. Chang, H., and xk星空官网*, Identification of Physical Processes via Combined Data-driven and Data-assimilation Methods, J. Comp. Phy., DOI:, 393: 337-350, 2019.

  2. Chang, H., and xk星空官网*, Machine Learning Subsurface xk星空官网 Equations from Data, Comp. Geosci., DOI: 10.1007/s10596-019-09847-2, 2019.

  3. Chen, Y., H. Chang, J. Meng, and D. xk星空官网*, The Ensemble Neural Networks (ENN): A Stochastic Gradient-free Method, Neural Networks, DOI:, 110, pp. 170-185, 2019.

  4. Liu, X., and D. xk星空官网*, A Review of Phase Behavior Simulation of Hydrocarbons in Confined Space: Implications for Shale Oil and Shale Gas, Journal of Natural Gas Science and Engineering, , 2019.

  5. Zhao, J.,xk星空官网*, T. Wu, H. Tang, Q. Xuan, Z. Jiang, and C. Dai, Multiscale approach for mechanical characterization of organic-rich shale and its application, International Journal of Geomechanics, 19(1): 04018180, DOI: 10.1061/ (ASCE)GM.1943-5622.0001281,2019.

  6. xk星空官网, S., X. Feng, xk星空官网*, and H. Tang,Coupled Thermo-hydro-mechanical Analysis of Stimulation and Production for Fractured Geothermal Reservoirs, Applied Energy, DOI: , 247: 40-59, 2019.

  7. Lei, G., Q. Liao, and D. xk星空官网, , Scientific Reports, 9(1), doi.org/10.1038/s41598-019-44802-2, 2019.

  8. Liao, Q., L. Gang, D. xk星空官网, and S. Patil, Analytical Solution for Upscaling Hydraulic Conductivity in Anisotropic Heterogeneous Formations, Adv. Water Resour., , 128: 97-116, 2019.

  9. Yao, M., H. Chang, X. xk星空官网, and D. xk星空官网*, An Integrated Approach for the History Matching of Multiscale-Fractured Reservoir, SPE Journal, , in press, 2019.

  10. Zhou, S.,D. xk星空官网*, H. Wang, and X. xk星空官网, A modified BET Equation to Investigate Supercritical Methane Adsorption Mechanisms in Shale, Marine & Petroleum Geology, DOI: 10.1016/j.marpetgeo.2019.04.036, 105: 284–292, 2019.

  11. Liao, Q., L. Zeng, H. Chang, and D. xk星空官网, Efficient History Matching using Markov Chain Monte Carlo via Transformed Adaptive Stochastic Collocation Method, SPE Journal,SPE194488, inpress, 2019.

  12. Zeng, J., H. xk星空官网, and D. xk星空官网, Numerical Simulation of Proppant Transport in Propagating Fractures with the Multi-phase Particle-in-cell Method, Fuel,245: 316-335, doi.org/10.1016/j.fuel.2019.02.056, 2019.

  13. Tan,Y., Z. Pan, X-T Feng, D. xk星空官网, L. D. Connell, and S. xk星空官网, Laboratory Characterisation of Fracture Compressibility for Coal and Shale Gas Reservoir Rocks: A Review, Int’l J. Coal Geol., 204:1-17, 10.1016/j.coal.2019.01.010, 2019.

 

2018 (8):

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

  2. Yao, M., H. Chang, X. xk星空官网, and xk星空官网*, Tuning Fractures with Dynamic Data, Water Resources Research, 54,, 2018.

  3. xk星空官网, S., and D. xk星空官网*, How Effective is Carbon Dioxide as an Alternative Fracturing Fluid? SPE J, SPE-194198-PA, , 2018.

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

  5. xk星空官网, X., X. xk星空官网, and D. xk星空官网, Generalized Prism Grid: a pillar-based unstructured grid for simulation of reservoirs with complicated geological geometries, Comput. Geosci., 22: 6, 1561-1581, 10.1007/s10596-018-9774-0, 2018.

  6. Jiang,Z., L. Zhao, and D.xk星空官网*, 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.

  7. Tang, H., S. xk星空官网, and D. xk星空官网*, The Effect of Heterogeneity on Hydraulic Fracturing,Journal of Petroleum Science and Engineering, 162: 292-308, 2018.

 

2017 (12):

  1. Wu, T, X. Li, J. Zhao, and D. xk星空官网*, MultiscalePore Structure and its Effect on Gas Transport in Organic-rich Shale, WaterResources Research, DOI: 1002/2017WR020780, 53(7): 5438–5450, 2017.

  2. Chen, Y., J. Su, xk星空官网*, C. Liu, Estimation of Shale Gas Resource via Statistical Learning, Applied Energy, DOI: 10.1016/j.apenergy.2017.04.029, 197: 327-341, 2017.

  3. Chang, H., and xk星空官网*, History Matching of Stimulated Reservoir Volume of Shale Gas Reservoirs Using an Iterative Ensemble Smoother, SPE Journal, SPE-189436-PA,, 2017.

  4. Yang, T., X. xk星空官网, and D. xk星空官网*, Where Gas is Produced from a Shale Formation: A Simulation Study, J. Natural Gas Sci. & Eng., DOI:, 45: 860-870, 2107.

  5. Lei, G., D. xk星空官网, 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.

  6. Jiang, Z.,D. xk星空官网*, 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.

  7. xk星空官网, Z., H. Li, and D. xk星空官网, 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.

  8. Liao, Q.,D. xk星空官网, and H. Tchelepi, Nested sparse grid collocation method with delay and transformation for subsurface xk星空官网 and transport problems, Adv. Water Resour., DOI: 10.1016/j.advwatres.2017.03.020, 104: 158-173, 2017.

  9. xk星空官网, S.,D. xk星空官网*, and X. xk星空官网. A New Approach to the Modeling of Hydraulic Fracturing Treatments in Naturally Fractured Reservoirs,SPE Journal, , 22(4): 1064-1081, 2017.

  10. xk星空官网, S., and D. xk星空官网*, A Fully Coupled Model for Hydraulic Fracture Growth during Multi-well Fracturing Treatments: Enhancing Fracture Complexity, SPE Production & Operations, , inpress, 2017.

  11. Chang, H., Q. Liao, and D. xk星空官网, Surrogate Model based Iterative Ensemble Smoother for Subsurface xk星空官网 Data Assimilation, Adv. Water Resour., Doi:10.1016/j.advwatres.2016.12.001, 100: 96-108, 2017.

  12. Liao, Q.,D. xk星空官网, and H. Tchelepi, A Two-stage Adaptive Stochastic Collocation Method on Nested Sparse Grids for Multiphase xk星空官网 in Randomly Heterogeneous Porous Media, J. Comp. Phys., , 330: 828-845, 2017.

 

2016 (6):

  1. Wu, T., and D. xk星空官网*, Impact of Adsorption on Gas Transport in Nanopores, Scientific Reports, 6:23629, DOI: 10.1038/srep23629, 2016.

  2. xk星空官网, X., Y. Xue, M. Zou, D. xk星空官网, 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.

  3. xk星空官网, S., X. xk星空官网, and D. xk星空官网*, 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.

  4. Dai, C., L. Xue, D. xk星空官网, and A. Guadagnini, Data-worth Analysis through Probabilistic Collocation-based Ensemble Kalman Filter, J. Hydrol., DOI:, 540: 488–503, 2016.

  5. Zeng, J., H. xk星空官网, and D. xk星空官网, 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.

  6. Liao, Q., and D. xk星空官网*, Probabilistic Collocation Method for Strongly Nonlinear Problems: 3. Transform by Time, Water Resour. xk星空官网., 52, doi:10.1002/2015WR017724, 2016.

 

2015 (12):

  1. Chang, H., Q. Liao, and D. xk星空官网*, Benchmark Problems for Subsurface xk星空官网 Uncertainty Quantification,J. Hydrol.,, 531:168-186, 2015.

  2. xk星空官网, X., and D. xk星空官网*, A Multi-continuum Multiple xk星空官网 Mechanism Simulator for Unconventional Oil andGasRecovery, J. Natural Gas Sci. & Eng., doi: 10.1016/j.jngse.2015.07.005, 652-669, 2015.

  3. Lu, L., and D. xk星空官网*, Assisted History Matching for Fractured Reservoirs using Hough Transform based Parameterization, SPE Journal, , 20(5): 942-961,2015.

  4. xk星空官网, D.*, T. Yang, T. Wu, X. xk星空官网, 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)

  5. Chen, Y., Q. Kang, Q. Cai, M. Wang, and D. xk星空官网,Lattice Boltzmann Simulation of Particle Motion in BinaryImmiscible Fluids, Communications in Computational Physics, 18(3): 757-786, 2015.

  6. xk星空官网, 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)

  7. Chang, H., and D. xk星空官网, 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.

  8. Liao, Q., and D. xk星空官网*, Data Assimilation for Strongly Nonlinear Problems by Transformed Ensemble Kalman Filter, SPE Journal, 20(1): 202-221,DOI:10.2118/173893-PA, 2015.

  9. Yang, T., X. xk星空官网, and D. xk星空官网*, Quantitative Dynamic Analysisof Gas Desorption Contribution to Production in Shale Gas Reservoirs, J. Uncon. Oil & Gas Resour., , 9:18-30, 2015.

  10. Dai, C., H. xk星空官网, D. xk星空官网*, and L. Xue, Efficient Data-Worth Analysis for the Selection of Surveillance Operation in a Geologic CO2Sequestration System, Greenhouse Gases: Science and Technology, DOI:10.1002/ghg.1492, 5(5):513-529, 2015.

  11. xk星空官网, Z., H. Li, and D. xk星空官网, 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.

  12. Liao, Q., and D. xk星空官网*, 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):

  1. xk星空官网, W., G. Lin, and D. xk星空官网*, 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.

  2. Xue, L., and D. xk星空官网*,A Multimodel Data Assimilation Framework via the Ensemble Kalman Filter, Water Resour. xk星空官网., 50(5): 4197-4219,DOI:10.1002/2013WR014525, 2014.

  3. Liao, Q., and D. xk星空官网*, Probabilistic Collocation Method for Strongly Nonlinear Problems: 2. Transform by Displacement, Water Resour. xk星空官网., DOI:10.1002/2014WR016238, 2014.

  4. Xue, L.,D. xk星空官网, A. Guadagnini, and S.P. Neuman, Multimodel Bayesian Analysis of Groundwater Data Worth, Water Resour. xk星空官网., DOI:10.1002/2014WR015503, 2014.

  5. Ping, J., and D. xk星空官网*, History Matching of Channelized Reservoirs with Vector-based Level Set Parameterization, SPE Journal, 19(3): 514-529, , 2014.

  6. Dai, C., H. xk星空官网, and D. xk星空官网*, Efficient and Accurate Global Sensitivity Analysis for Reservoir Simulations Using Probabilistic Collocation Method, SPE Journal, 19(4): 621-634, 10.2118/167609-PA,2013.

  7. Chang, H., and D. xk星空官网, History Matching of Statistically Anisotropic Fields Using Karhunen-Loeve Expansion based Global Parameterization Technique, Comp. Geosci., 18(2): 265-282, 2014.

  8. xk星空官网, X. andD. xk星空官网*, A Backward Automatic Differentiation Framework for Reservoir Simulation,Comp. Geosci., 10.1007/s10596-014-9441-z, 18:1009-1022, 2014.

  9. Chang, H., and D. xk星空官网, 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.

  10. xk星空官网, D.*, and J. Song, ,Procedia IUTAM, 10: 319-327, 2014.

 

2013 (8):

  1. Song, J., and D. xk星空官网*, Comprehensive Review of Caprock-Sealing Mechanisms for Geologic Carbon Sequestration, Environmental Science and Technology, 10.1021/es301610p, 47: 9-22, 2013.

  2. Sun A.Y.,, , , and, Assessing Leakage Detectability at Geologic CO2Sequestration Sites using the Probabilistic Collocation Method, Adv. Water Resour., , 2013.

  3. Wei, Z., and D. xk星空官网*, A Fully Coupled Multicomponent, Multiphase xk星空官网 and Geomechanics Model for Enhanced Coalbed Methane Recovery and CO2Storage,SPE Journal, 18(3): 448-467, 2013.

  4. xk星空官网, H., and D. xk星空官网, 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.

  5. Ping, J., and D. xk星空官网*, History Matching of Fracture Distributions by Ensemble Kalman Filter Combined with Vector Based Level Set Parameterization, Journal of Petroleum Science and Engineering, , 2013.

  6. xk星空官网*, 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.)

  7. Xie, X., and D. xk星空官网, A Partitioned Update Scheme for State-Parameter Estimation of Distributed Hydrologic Models based on the Ensemble Kalman Filter, Water Resour. xk星空官网., VOL. 49, 7350–7365, 10.1002/2012WR012853, 2013.

  8. Liao, Q., and D. xk星空官网*, Probabilistic Collocation Method for Strongly Nonlinear Problems: 1. Transform by location, Water Resour. xk星空官网., 49(12), 7911-7928, 10.1002/2013WR014055,2013.

 

2012(4):

  1. Jahangiri, H.R., and D. xk星空官网*, 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.

  2. Zeng, L., L. Shi, D. xk星空官网, 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.

  3. Shi, L., L. Zeng, D. xk星空官网, and J. Yang, Multiscale-Finite-Element-Based Ensemble Kalman Filter for Large-Scale Groundwater xk星空官网, J. Hydrology, DOI: 10.1016/j.jhydrol.2012.08.003, 468: 22-34, 2012.

  4. xk星空官网, Z.,D. xk星空官网, and X. xk星空官网, Tracking Colloid Transport in Real Pore Structures: Comparisons with Correlation Equations and Experimental Observations, Water Resour. xk星空官网., 48, doi:10.1029/2012WR011847, 2012.

2011(5):

  1. Zeng, L., H. Chang, and D. xk星空官网*, A Probabilistic Collocation Based Kalman Filter for History Matching, SPE Journal, SPE-140737-PA-P, 294-306, 2011.

  2. xk星空官网, H., P. Sarma, andD. xk星空官网*, 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.

  3. Jahangiri, H.R., and D. xk星空官网*, 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.

  4. Jafroodia N., and D. xk星空官网, New Method for Reservoir Characterization and Optimization Using CRM-EnOpt Approach, J Pet. Sci. Eng., , 77: 155-171, 2011.

  5. Chen, Y., Q. Kang, Q.D. Cai, and D. xk星空官网, Lattice Boltzmann Method on Quadtree Grids, Physical Review E, 83, 026707, 2011.

 

2010(12):

  1. Xie, X.H., and D. xk星空官网, 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”)

  2. xk星空官网, 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.

  3. Wei, Z., and D. xk星空官网*, Coupled Fluid xk星空官网 and Geomechanics for Triple-Porosity/Dual-Permeability Modeling of Coalbed Methane Recovery, International Journal of Rock Mechanics and Mining Sciences, 47: 1242–1253, 2010.

  4. Chang, H.,D. xk星空官网*, 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.

  5. xk星空官网, X.*, Z. xk星空官网, and D. xk星空官网*, Role of Low xk星空官网 and Backward xk星空官网 Zones on Colloid Transport in Pore Structures Derived from Real Porous Media, Environmental Science & Technology, 44(13), 4936-4942, 2010.

  6. Chen, C., and D. xk星空官网*, Pore-Scale Simulation of Density-Driven Convection in Fractured Porous Media during Geological CO2Sequestration, Water Resour. xk星空官网., 46, W11527, DOI: 10.1029/2010WR009453, 2010.

  7. xk星空官网, Z.,D. xk星空官网, and X. xk星空官网, 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.

  8. Chang, H., Y. Chen, and D. xk星空官网*, Data Assimilation of Coupled Fluid xk星空官网 and Geomechanics Using Ensemble Kalman Filter, SPE Journal, SPE-118963-PA, 15(2): 382-394, 2010.

  9. Zeng, L., and D. xk星空官网*, A Stochastic Collocation Based Kalman Filter for Data Assimilation, Computational Geosciences, 10.1007/s10596-010-9183-5, 2010.

  10. Wei, Z., and D. xk星空官网, Coupled Fluid Flow and Geomechanics in Coalbed Methane Recovery Study, Mod. Phy. Lett. B, 24(13): 1291-1294, DOI: 10.1142/S0217984910023451, 2010.

  11. Chen, C., A. Packman, D. xk星空官网, and J. -F. Gaillard, A Multi-scale Investigation of Interfacial Transport, Pore Fluid xk星空官网, and Fine Particle Deposition in a Sediment Bed, Water Resour. xk星空官网., vol. 46, W11560, DOI: 10.1029/2009WR009018, 2010.

  12. Shi, L.,D. xk星空官网*, L. Lin, and J. Yang, A Multiscale Probabilistic Collocation Method for Subsurface xk星空官网 in Heterogeneous Media, Water Resour. xk星空官网., VOL. 46, W11562, DOI:10.1029/2010WR009066, 2010.

 

2009 (12):

  1. Chen, Y., D. Oliver, and D. xk星空官网, Efficient Ensemble-based Closed-Loop Production Optimization, SPE Journal, 10.2118/112873-PA, 14(4): 634-645, 2009.

  2. Chen, Y., D. Oliver, and D. xk星空官网, 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.

  3. Rapaka, S., R. Pawar, P. Stauffer, D. xk星空官网, 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.

  4. Shi, L., J. Yang, D. xk星空官网, and H. xk星空官网, Probabilistic Collocation Method for Unconfined Flow in Heterogeneous Media, J. Hydrology, 365(1-2):4-10, 2009.

  5. xk星空官网, W., Z. Lu, D. xk星空官网*, Stochastic Analysis of Unsaturated xk星空官网 with Probabilistic Collocation Method, Water Resour. xk星空官网.,45, W08425, DOI: 10.1029/2008WR007530, 2009.

  6. xk星空官网, H., and D. xk星空官网*, Efficient and Accurate Quantification of Uncertainty for Multiphase xk星空官网 with Probabilistic Collocation Method, SPE Journal, 10.2118/114802-PA, 665－679, 2009.

  7. Chang, H., and D. xk星空官网*, A Comparative Study of Stochastic Collocation Methods for xk星空官网 in Porous Media, Commun. Comput. Phys.,6(3): 509-535, 2009.

  8. Shi, L.S., J.Z. Yang, and D. xk星空官网, A Stochastic Approach to Nonlinear Unconfined xk星空官网 Subject to Multiple Random Fields, Stochastic Environmental Research and Risk Assessment, 23: 823-835, DOI: 10.1007/s00477-008-0261-3, 2009.

  9. Shi, L., J. Yang,andD. xk星空官网, Evaluating the Uncertainty of Darcy Velocity with Sparse Grid Collocation Method, , 52(11): 3270-3278, 10.1007/s11431-009-0353-4, 2009.

  10. Lu, G., D. J. DePaolo, Q. Kang, and D. xk星空官网, Lattice Boltzmann Simulation of Snow Crystal Growth in Clouds, J. Geophys. xk星空官网., 114, D07305, DOI: 10.1029/2008JD011087, 2009.

  11. Chen, C., and D. xk星空官网*, Lattice Boltzmann Simulation of the Rise and Dissolution of Two-Dimensional Immiscible Droplets, Physics of Fluids, 21, 103301, DOI: 10.1063/1.3253385, 2009.

  12. Feng, X.T., W.X. Ding, and D. xk星空官网, Multi-Crack Interaction in Limestone Subject to Stress and xk星空官网 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):

  1. Liu, G., Y. Chen, and D. xk星空官网, Investigation of xk星空官网 and Transport Processes at the MADE Site Using Ensemble Kalman Filter, Adv. Water Resour., , 31: 975–986, 2008.

  2. Rapaka, S., S. Chen, R. Pawar, P.H. Stauffer, and D. xk星空官网, Nonmodal Growth of Perturbations in Density-driven Convection in Porous Media, J Fluid Mech., vol. 609, pp. 285–303, 2008.

  3. Gainis, B., H. Klie, M.F. Wheeler, T. Wildey, I. Yotov, and D. xk星空官网, Stochastic Collocation and Mixed finite elements for xk星空官网 in Porous Media, Comput. Methods Appl. Mech. Engrg., 197: 3547–3559,2008.

  4. Ding, Y., T. xk星空官网, D. xk星空官网, and P. xk星空官网, Adaptive Stroud stochastic collocation method for flow in random porous media via Karhunen-Loeve expansion, Communications in Comp. Phys., 4(1):102-123, 2008.

  5. Shi, L., J. Yang, and D. xk星空官网, A Stochastic Approach to Unconfined xk星空官网 Subject to Multiple Random Fields, Stochastic Environmental Research and Risk Assessment, 10.1007/s00477-008-0261-3, 2008.

  6. Ding, G., J.J. Jiao, and D. xk星空官网, 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):

  1. xk星空官网, H., and D. xk星空官网*, Probabilistic Collocation Method for xk星空官网 in Porous Media: Comparisons with Other Stochastic Methods, Water Resour. xk星空官网., 43, W09409, DOI:10.1029/2006WR005673, 2007.

  2. Kang, Q., P.C. Lichtner, and D. xk星空官网, An Improved Lattice Boltzmann Model for Multi-Component Reactive Transport in Porous Media at the Pore Scale, Water Resour. xk星空官网., 43, W12S14, DOI:10.1029/2006WR005551,2007.

  3. xk星空官网, D.*, Z. Lu, and Y. Chen, Dynamic Reservoir Data Assimilation with an Efficient, Dimension-Reduced Kalman Filter, SPE Journal, 12(1), 108-117, 2007.

  4. Lu, Z., xk星空官网, D., and B. Robinson, Explicit Analytical Solutions for One-Dimensional Steady State xk星空官网 in Layered, Heterogeneous Unsaturated Soils under Uncertainties, Water Resour. xk星空官网., 43, W09413, DOI:10.1029/2005WR004795,2007.

  5. Liu, G., Z. Lu, and D. xk星空官网*, Stochastic Uncertainty Analysis for Solute Transport in Randomly Heterogeneous Media Using a Karhunen-Loeve Based Moment Equation Approach, Water Resour. xk星空官网., 43, W07427, DOI:10.1029/2006WR005193, 2007.

  6. Xu, X., S. Chen, and D. xk星空官网*, Comment on the Effect of Anisotropy on the Onset of Convection in a Porous Medium-Reply, Adv. Water Resour., 30 (3): 698-699, 2007.

  7. Lu, Z., andD. xk星空官网, Stochastic Simulations for xk星空官网 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):

  1. Chen, Y., and D. xk星空官网*, Data Assimilation for Transient xk星空官网 in Geologic Formations via Ensemble Kalman Filter, Adv. Water Resour., , 29, 1107–1122, 2006. (ISI Highly Cited Paper)

  2. Xu, X., S. Chen, and D. xk星空官网*, Convective Stability Analysis of the Long-Term Storage of Carbon Dioxide in Deep Saline Aquifers, Adv. Water Resour., , 29(3):397-407, 2006.

  3. Kang, Q., P.C. Lichtner, and D. xk星空官网, Lattice-Boltzmann Pore-Scale Model for Multi-component Reactive Transport in Porous Media, J. Geophy. xk星空官网., VOL. 111, B05203, DOI: 10.1029/2005JB003951, 2006.

  4. Chen, M., A. Keller,D. xk星空官网,Z. Lu, and G.A. Zyvoloski, A Stochastic Analysis of Transient Two-Phase xk星空官网 in Heterogeneous Porous Media, Water Resour. xk星空官网., 42(3), W03425, DOI:10.1029/2005WR004257, 2006.

  5. Lu, Z., andD. xk星空官网*, Accurate, Efficient Quantification of Uncertainty for xk星空官网 in Heterogeneous Reservoirs using the KLME Approach, SPE Journal, 11(2), 239-247, 2006.

  6. Liu, G.,D. xk星空官网, and Z. Lu, Stochastic Uncertainty Analysis for Unconfined xk星空官网 Systems, Water Resour. xk星空官网., VOL. 42, W09412, DOI:10.1029/2005WR004766, 2006.

 

2005 (4):

  1. Kang, Q.,D. xk星空官网, and S. Chen, Displacement of a Three-Dimensional Immiscible Droplet in a Duct, J. Fluid Mech., 545: 41-66, 2005.

  2. Kang, Q., I.N. Tsimpanogiannis, D. xk星空官网, and P. Lichtner, Numerical Modeling of Pore-scale Phenomena during CO2 Sequestration in Oceanic Sediments, Fuel Processing Technology, 86:1647-1665, 2005.

  3. Chen, M.,D. xk星空官网, A. Keller, and Z. Lu, A Stochastic Analysis of Steady State Two-Phase xk星空官网 in Heterogeneous Media, Water Resour. xk星空官网., Vol. 41, W01006, DOI:10.1029/2004WR003412,2005.

  4. Lu, Z., and D. xk星空官网, Analytical Solutions of Statistical Moments for Transient xk星空官网 in Two-Dimensional Bounded, Randomly Heterogeneous Media, Water Resour. xk星空官网., Vol.41, W01016, DOI:10.1029/2004WR003389, 2005.

 

2004 (12):

  1. xk星空官网, D.*, and Z. Lu, An Efficient, High-Order Perturbation Approach for xk星空官网 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.

  2. Kang, Q.,D. xk星空官网, 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.

  3. Lu, Z., and D. xk星空官网*, Comparative Study on Quantifying Uncertainty of xk星空官网 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.

  4. Kang, Q.,D. xk星空官网, and S. Chen, Immiscible Displacement in a Channel: Simulations of Fingering in Two Dimensions, Adv. Water Resources, 27(1), 13-22, 2004.

  5. Lu, Z., and D. xk星空官网, Conditional Simulations of xk星空官网 in Randomly Heterogeneous Porous Media Using a KL-based Moment-equation Approach, Adv. Water Resources, 27:859-874, 2004.

  6. xk星空官网, D., and Q. Kang, Pore Scale Simulation of Solute Transport in Fractured Porous Media, Geophysical Research Letters, vol.31(6), 2004.

  7. Lu, Z., andD. xk星空官网, Analytical Solutions to Unsaturated xk星空官网 in Layered, Heterogeneous Soils via Kirchhoff Transformation, Adv. Water Resources, 27:775-784, 2004.

  8. xk星空官网, Y.K., and D. xk星空官网,Forum: The State of Stochastic Hydrology, Stochastic Environmental Research and Risk Assessment, 18(4):265, 2004.

  9. xk星空官网, D.*, and Z. Lu,Stochastic Delineation of Well Capture Zones, Stochastic Environmental Research and Risk Assessment, 18(1), 39-46, 2004.

  10. Hu, B.X., J. Wu, and xk星空官网, 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.

  11. Sun, A., and D. xk星空官网, A Solute Flux Approach to Transport through Bounded, Unsaturated Heterogeneous Porous Media, Vadose Zone Journal, 3:513-526, 2004.

  12. Yang, J.,D. xk星空官网*, and Z. Lu, Stochastic Analysis of Saturated-Unsaturated xk星空官网 in Heterogeneous Media by Combining Karhunen-Loeve Expansion and Perturbation Method, J. Hydrology, vol.294, 18-38, 2004.

 

2003 (8)

  1. Kang, Q.,D. xk星空官网*, and S. Chen, Simulation of Dissolution and Precipitation in Porous Media, J. Geophysical Research-Solid Earth, 108(B10), 2505, DOI:10.1029/2003JB002504, 2003.

  2. Lu, Z., and D. xk星空官网, On Importance Sampling Monte Carlo Approach to Uncertainty Analysis of xk星空官网 and Transport in Porous Media, Adv. Water Resources, 26(11), 1177-1188, 2003.

  3. xk星空官网, L., H.A. Tchelepi, and D. xk星空官网*, Perturbation-based Moment Equation Approach for xk星空官网 in Heterogeneous Porous Media: Applicability Range and Analysis of High-Order Terms, J. of Computational Physics, , 188(1), pp 296 - 317, 2003.

  4. Lu, Z., and D. xk星空官网, On Stochastic Study of Well Capture Zones in Bounded, Randomly Heterogeneous Media, Water Resour. xk星空官网., 39(4), DOI:10.1029/2002WR001633, 2003.

  5. Lu, Z., and D. xk星空官网, Solute Spreading in Nonstationary Flows in Bounded Heterogeneous Saturated-Unsaturated Media, Water Resour. xk星空官网., 39(3), 1049, DOI:10.1029/2001WR000908, 2003.

  6. Wu, J., B.X. Hu, D. xk星空官网, and C. Shirley, A Three-Dimensional Numerical Method of Moments for Groundwater xk星空官网 and Solute Transport in a Nonstationary Conductivity Field, Adv. Water Resources, 26(11), 1149-1169, 2003.

  7. Wu J., B.X. Hu, and D. xk星空官网, Applications of Nonstationary Stochastic Theories to Solute Transport in Multi-scale Geological Media, Journal of Hydrology, 275:208-228, 2003.

  8. Hu, B.X., J. Wu, A.K. Panorska, D. xk星空官网, and C. xk星空官网, Stochastic Study on Groundwater Flow and Solute Transport in Porous Media with Multi-Scale Heterogeneity, Adv. Water Resources, 26:541-560, 2003.

 

2002 (9):

  1. Kang, Q.,D. xk星空官网, and S. Chen, Displacement of a Two-Dimensional Immiscible Droplet in a Channel, Physics of Fluids, 14(9), 3203-3214, 2002.

  2. Kang, Q.,D. xk星空官网, S. Chen, and X. xk星空官网, Lattice Boltzmann Simulations of Chemical Dissolution in Porous Media, Physical Review E, 65(3), 2002.

  3. Lu, Z., and D. xk星空官网*, On Stochastic Modeling of xk星空官网 in Multimodal Heterogeneous Formations, Water Resour. xk星空官网., 38(10), DOI:10.1029/2001WR001026, 2002.

  4. Kang, Q.,D. xk星空官网, and S. Chen, Unified Lattice Boltzmann Method for xk星空官网 in Multiscale Porous Media, Physical Review E, 66(11), 056307, 2002.

  5. xk星空官网, D.*, and Z. Lu, Stochastic Analysis of xk星空官网 in a Heterogeneous Unsaturated-Saturated System, Water Resour. xk星空官网., 38(2), DOI:10.1029/2001WR000515, 2002.

  6. Valentine, G., D. xk星空官网, and B.A. Robinson, Modeling Complex, Nonlinear Geological Processes, Annual Review of Earth and Planetary Sciences, 30: 35-64, 2002.

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

  8. Lu, G., and D. xk星空官网*, Nonstationary Stochastic Analysis of xk星空官网 in a Heterogeneous Semiconfined Aquifer, Water Resour. xk星空官网., 38(8), DOI:10.1029/2001WR000546, 2002.

  9. Hu, B.X., H. Huang, and D. xk星空官网, Stochastic Analysis of Solute Transport in Heterogeneous, Dual-Permeability Media, Water Resour. xk星空官网., 38(9), DOI:10.1029/2001WR000442, 2002.

 

2000 (5):

  1. xk星空官网, D.*, R. xk星空官网, 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.

  2. xk星空官网, D.*, R. Andricevic, A.Y. Sun, X.B. Hu, and G. xk星空官网, Solute Flux Approach to Transport Through Spatially Nonstationary Flow in Porous Media, Water Resour. xk星空官网., 36(8), 2107-2120, 2000.

  3. xk星空官网, D.*, and A.Y. Sun, Stochastic Analysis of Saturated xk星空官网 through Heterogeneous Fractured Porous Media: A Double-Permeability Approach, Water Resour. xk星空官网., 36(4), 865-874, 2000.

  4. xk星空官网, D.*, L. xk星空官网, and H.A. Tchelepi, Stochastic Formulation for Uncertainty Assessment of Two-Phase Flow in Heterogeneous Reservoirs, SPE Journal, 5(1), 60-70, 2000.

  5. Sun, A.Y., and D. xk星空官网*, Prediction of Solute Spreading in Unsaturated, Bounded Heterogeneous Porous Media, Water Resour. xk星空官网., 36(3), 715-723, 2000.

 

1999 (5):

  1. xk星空官网, D.*, Nonstationary Stochastic Analysis of Transient Unsaturated xk星空官网 in Randomly Heterogeneous Media, Water Resour. xk星空官网., Vol.35, No.4, 1999.

  2. xk星空官网, D.*, and C.L. Winter, Moment Equation Approach to Single-Phase Fluid xk星空官网 in Heterogeneous Reservoirs, SPE Journal, Vol.4, No.2, 1999.

  3. Harter, T., and D. xk星空官网, Water xk星空官网 and Solute Spreading in Heterogeneous Soils with Spatially Variable Water Content, Water Resour. xk星空官网., Vol.35, No.2, 1999.

  4. xk星空官网, D.*, and H. Tchelepi, Stochastic Analysis of Immiscible Two-Phase xk星空官网 in Heterogeneous Media, SPE Journal, 4(4), 380-388, 1999.

  5. xk星空官网, D.*, Quantification of Uncertainty for Fluid xk星空官网 in Heterogeneous Petroleum Reservoirs, Physica D, 133, 488-497, 1999.

 

1998 (4):

  1. xk星空官网, D.*, Numerical Solutions to Statistical Moment Equations of Groundwater xk星空官网 in Nonstationary, Bounded Heterogeneous Media, Water Resour. xk星空官网., Vol.34, No.3, 1998.

  2. xk星空官网, D.*, and C.L. Winter, Nonstationary Stochastic Analysis of Steady-State xk星空官网 through Variably Saturated, Heterogeneous Media, Water Resour. xk星空官网., Vol.34, No.5, 1998.

  3. xk星空官网, D.*, T. Wallstrom, and L. Winter, Stochastic Analysis of Steady-State Unsaturated xk星空官网 in Heterogeneous Media: Comparison of Brooks-Corey and Gardner-Russo Models, Water Resour. xk星空官网., Vol.34, No.6, 1998.

  4. Xin, J., and D. xk星空官网*, Stochastic Analysis of Biodegradation Fronts in One-Dimensional Heterogeneous Porous Media, Adv. Water Resources, Vol.22, No.2, 1998.

 

1997 (2):

  1. xk星空官网, D.*, Conditional Stochastic Analysis of Multiphase Transport in Randomly Heterogeneous, Variably Saturated Media, Transport in Porous Media, Vol.27, No.3, 1997.

  2. xk星空官网, Y.-K., and D. xk星空官网, 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):

  1. Hsu, K.-C., D. xk星空官网, and S.P. Neuman, Higher-Order Effects on xk星空官网 and Transport in Randomly Heterogeneous Porous Media, Water Resour. xk星空官网., Vol.32, No.3, 1996.

  2. xk星空官网, D., and S.P. Neuman, Effect of Local Dispersion on Solute Transport in Randomly Heterogeneous Porous Media, Water Resour. xk星空官网., Vol.32, No.9, 1996.

  3. xk星空官网, D., and S.P. Neuman, Head and Velocity Covariances Under Quasi-Steady State xk星空官网 and Their Effects on Advective Transport, Water Resour. xk星空官网., Vol.32, No.1, 1996.

  4. xk星空官网, Y.-K., D. xk星空官网, and J. Lin, Non-ergodic Solute Transport in Three-Dimensional Heterogeneous Isotropic Aquifers, Water Resour. xk星空官网., Vol.32, No.9, 1996.

 

1995 (5):

  1. xk星空官网, D., and S.P. Neuman, Eulerian-Lagrangian Analysis of Transport Conditioned on Hydraulic Data: 1. Analytical-Numerical Approach, Water Resour. xk星空官网., Vol.31, No.1, 1995.

  2. xk星空官网, 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. xk星空官网., Vol.31, No.1, 1995.

  3. xk星空官网, D., and S.P. Neuman, Eulerian-Lagrangian Analysisof Transport Conditioned on Hydraulic Data: 3. Spatial Moments, Travel Time Distribution, Mass xk星空官网 Rate and Cumulative Release Across a Compliance Surface, Water Resour. xk星空官网., Vol.31, No.1, 1995.

  4. xk星空官网, 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. xk星空官网., Vol.31, No.1, 1995.

  5. xk星空官网, 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.

 

Others (2):

  1. xk星空官网, 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. (Published during M.Sc. studies)

  2. xk星空官网, D., Rotating Sense Determination in Planar Gear Train by Use of Complex Number, Journal of Northeastern University, P. R. China, No.1, 1988. (Published during undergraduate studies)

 

Papers in Books and Conference Proceedings:

  1. Li, S., and D. xk星空官网, A Fully Coupled Model for Hydraulic Fracture Growth during Multi-well Fracturing Treatments: Enhancing Fracture Complexity, the SPE Reservoir Simulation Conference, held in Montgomery, TX, USA 20–22 February 2017.

  2. Li, S., D. xk星空官网, and X. Li. A New Approach to the Modeling of Hydraulic Fracturing Treatments in Naturally Fractured Reservoirs, SPE Asia Pacific Hydraulic Fracturing Conference, Beijing, China, SPE-181828-MS, 2016.

  3. Wu, T., Z. Jiang, and D. xk星空官网, 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.

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

  5. xk星空官网, 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.

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

  7. Jahangiri, H.R., and D. xk星空官网, Optimization of Carbon Dioxide Sequestration and Enhanced Oil Recovery in Oil Reservoir, SPE Western Regional Meeting, Anaheim, CA: SPE 133594, 2010.

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

  9. Jahangiri, H.R., and D. xk星空官网, 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.

  10. Chang, H., Y. Chen, and D. xk星空官网, 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.

  11. Li, H., H. Chang, and D. xk星空官网, 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.

  12. xk星空官网, 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.

  13. Lu, Z., D. xk星空官网, 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.

  14. Klie, H.M., M.F. Wheeler, G. Liu, and D. xk星空官网, 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.

  15. xk星空官网, 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.

  16. Kang, Q., P. Lichtner, and D. xk星空官网, 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.

  17. xk星空官网, 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.

  18. xk星空官网, 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.

  19. Lu, Z., and D. xk星空官网, 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.

  20. Lu, Z., Higdon, and D. xk星空官网, 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.

  21. Lu, Z., and D. xk星空官网, 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. xk星空官网, 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.

  23. xk星空官网, 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.

  24. Lu, Z., and D. xk星空官网, 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.

  25. Pawar, R.J., N. Warpinski, B. Stubbs, and D. xk星空官网, 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.

  26. Lu, Z., and D. xk星空官网, 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.

  27. xk星空官网, 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.

  28. xk星空官网, 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.

  29. Hu, B.X., J. Wu, D. xk星空官网, 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.

  30. Krumhansl, J., R. Pawar, H. Westrich, N. Warpinski, D. xk星空官网, 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.

  31. Lu, Z., and xk星空官网, 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.

  32. Pawar, R.J., D. xk星空官网, 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.

  33. Pawar, R.J., D. xk星空官网, 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.

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

  35. xk星空官网, 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.

  36. Harter, Th., D. xk星空官网, 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.

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

  38. Ksu, K.-C., D. xk星空官网, 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.

  39. xk星空官网, 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.

  40. Harter, Th., and D. xk星空官网, 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.

  41. xk星空官网, 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.

  42. Neuman, S.P., and D. xk星空官网, 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.

  43. Neuman, S.P., O. Levin, S. Orr, E. Paleologos, D. xk星空官网, and Y.-K. xk星空官网, 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.

 

 

Patents and Copyrights:

  1. xk星空官网, D., S. Li, J. Wu, X. Sun, X. Li, and H. Qiao, CO2Frac V1.0 (二氧化碳压裂模拟器软件V1.0), Software copyright: 2017SR120808, date issued: April 17, 2017.

  2. xk星空官网, D., and S. Li, FracTHM (A coupled thermal-hydro-mechanic hydraulic fracturing simulator), Software copyright: 2016SR347861, date issued: December 1, 2016.

  3. Li, X., and D. xk星空官网, 基于逆向自动微分的油藏动态模拟方法 (A dynamic reservoir simulation framework with backward automatic differentiation), Chinese patent: ZL201310242744.X, date issued: December 4, 2015.

  4. Li, X., and D. xk星空官网, UNCONG_S V1.0 (Unconventional Oil & Gas Reservoir Simulator), Software copyright: 2015SR148669, date issued: June 7, 2015.


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