Stochastic methods for flow in porous media: coping with uncertainties, Academic Press D Zhang | 734* | 2001 |
Efficient Ensemble-Based Closed-Loop Production Optimization Y Chen, DS Oliver, D Zhang SPE Journal 14 (4), 634-645, 2009 | 503 | 2009 |
An efficient, high-order perturbation approach for flow in random porous media via Karhunen–Loeve and polynomial expansions D Zhang, Z Lu Journal of Computational Physics 194 (2), 773-794, 2004 | 408 | 2004 |
Data assimilation for transient flow in geologic formations via ensemble Kalman filter Y Chen, D Zhang Advances in Water Resources 29 (8), 1107-1122, 2006 | 398 | 2006 |
Lattice Boltzmann pore‐scale model for multicomponent reactive transport in porous media Q Kang, PC Lichtner, D Zhang Journal of Geophysical Research: Solid Earth 111 (B5), 2006 | 382 | 2006 |
Pore scale study of flow in porous media: Scale dependency, REV, and statistical REV D Zhang, R Zhang, S Chen, WE Soll Geophysical research letters 27 (8), 1195-1198, 2000 | 374 | 2000 |
Lattice Boltzmann simulation of chemical dissolution in porous media Q Kang, D Zhang, S Chen, X He Physical Review E 65 (3), 036318, 2002 | 334 | 2002 |
Displacement of a two-dimensional immiscible droplet in a channel Q Kang, D Zhang, S Chen Physics of fluids 14 (9), 3203-3214, 2002 | 333 | 2002 |
Comprehensive review of caprock-sealing mechanisms for geologic carbon sequestration J Song, D Zhang Environmental science & technology 47 (1), 9-22, 2013 | 315 | 2013 |
Probabilistic collocation method for flow in porous media: Comparisons with other stochastic methods H Li, D Zhang Water Resources Research 43 (9), 2007 | 313 | 2007 |
Convective stability analysis of the long-term storage of carbon dioxide in deep saline aquifers X Xu, S Chen, D Zhang Advances in water resources 29 (3), 397-407, 2006 | 301 | 2006 |
An improved lattice Boltzmann model for multicomponent reactive transport in porous media at the pore scale Q Kang, PC Lichtner, D Zhang Water Resources Research 43 (12), 2007 | 277 | 2007 |
Synthetic well logs generation via Recurrent Neural Networks D Zhang, C Yuntian, M Jin Petroleum Exploration and Development 45 (4), 629-639, 2018 | 255 | 2018 |
Mechanisms for geological carbon sequestration D Zhang, J Song Procedia IUTAm 10, 319-327, 2014 | 252 | 2014 |
Deep learning of subsurface flow via theory-guided neural network N Wang, D Zhang, H Chang, H Li Journal of Hydrology 584, 124700, 2020 | 245 | 2020 |
Simulation of dissolution and precipitation in porous media Q Kang, D Zhang, S Chen Journal of Geophysical Research: Solid Earth 108 (B10), 2003 | 232 | 2003 |
Unified lattice Boltzmann method for flow in multiscale porous media Q Kang, D Zhang, S Chen Physical Review E 66 (5), 056307, 2002 | 215 | 2002 |
Data assimilation for distributed hydrological catchment modeling via ensemble Kalman filter X Xie, D Zhang Advances in Water Resources 33 (6), 678-690, 2010 | 212 | 2010 |
Coupled fluid-flow and geomechanics for triple-porosity/dual-permeability modeling of coalbed methane recovery Z Wei, D Zhang International Journal of Rock Mechanics and Mining Sciences 47 (8), 1242-1253, 2010 | 166 | 2010 |
Deep learning based forecasting of photovoltaic power generation by incorporating domain knowledge X Luo, D Zhang, X Zhu Energy 225, 120240, 2021 | 163 | 2021 |