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Wu, T., J. Zhao, W. Zhang, and D. Zhang*, 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.
Zhao, J., and D. Zhang*, Dynamic crack propagation in heterogeneous shale at microscale, Engineering Fracture Mechanics, 10.1016/j.engfracmech.2020.106906, 2020.
Chen, Y., and D. Zhang*, Physics constrained deep learning of geomechanical logs, IEEE Transactions on Geoscience and Remote Sensing, 10.1109/TGRS.2020.2973171, 2020.
Wu, T., D. Zhang*, & X. Li, 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.
Liao, Q., G. Lei, Z. Wei, D. Zhang*, and S. Patil, Efficient Analytical Upscaling Method for Elliptic Equations in Three-dimensional Heterogeneous Anisotropic Media, Journal of Hydrology, 10.1016/j.jhydrol.2020.124560, 2020.
Zhang, Y., Q. Wen, and D. Zhang*, A novel targeted-plugging and fracture-adaptable gel used as a diverting agent in fracturing, Energy Science & Engineering, 10.1002/ese3.513, 2020.
Chang, H., and D. Zhang*, Identification of Physical Processes via Combined Data-driven and Data-assimilation Methods, J. Comp. Phy., DOI: 10.1016/j.jcp.2019.05.008, 393: 337-350, 2019.
Chang, H., and D. Zhang*, Machine Learning Subsurface Flow Equations from Data, Comp. Geosci., DOI: 10.1007/s10596-019-09847-2, 2019.
Chen, Y., H. Chang, J. Meng, and D. Zhang*, The Ensemble Neural Networks (ENN): A Stochastic Gradient-free Method, Neural Networks, DOI: 10.1016/j.neunet.2018.11.009, 110, pp. 170-185, 2019.
Teng, Y., and D. Zhang*, Comprehensive study and comparison of equilibrium and kinetic models in simulation of hydrate reaction in porous media, Journal of Computational Physics, 10.1016/j.jcp.2019.109094, 2019.
Liu, X., and D. Zhang*, 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, 10.1016/j.jngse.2019.102901, 2019.
Zhao, J., D. Zhang*, 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.
Li, S., X. Feng, D. Zhang*, and H. Tang, Coupled Thermo-hydro-mechanical Analysis of Stimulation and Production for Fractured Geothermal Reservoirs, Applied Energy, DOI: 10.1016/j.apenergy.2019.04.036 , 247: 40-59, 2019.
Lei, G., Q. Liao, and D. Zhang, A new analytical model for flow in acidized fractured-vuggy porous media, Scientific Reports, 9(1), doi.org/10.1038/s41598-019-44802-2, 2019.
Liao, Q., L. Gang, D. Zhang, and S. Patil, Analytical Solution for Upscaling Hydraulic Conductivity in Anisotropic Heterogeneous Formations, Adv. Water Resour., DOI: 10.1016/j.advwatres.2019.04.011, 128: 97-116, 2019.
Yao, M., H. Chang, X. Li, and D. Zhang*, An Integrated Approach for the History Matching of Multiscale-Fractured Reservoir, SPE Journal, doi.org/10.2118/195589-PA, in press, 2019.
Zhou, S., D. Zhang*, H. Wang, and X. Li, 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.
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, SPE194488, in press, 2019.
Zeng, J., H. Li, and D. Zhang, 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.
Tan, Y., Z. Pan, X-T Feng, D. Zhang, L. D. Connell, and S. Li, 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.