能源与资源工程系 副研究员
2006.09~2011.07 北京大学工学院, 能源与资源工程系, 博士
2002.09~2006.07 吉林大学数学学院, 理论与应用力学专业, 学士
2015.11~至今 北京大学工学院, 能源与资源工程系, 副研究员
2013.07~2015.10 北京大学工学院, 能源与资源工程系, 助理研究员
2011.07~2013.07 北京大学工学院, 能源与资源工程系, 博士后
Chang, H., Liao, Q., Zhang, D., Benchmark problems for subsurface flow uncertainty quantification. Journal of Hydrology. 2015, 531, 168-186
Chang, H., Zhang, D., Jointly updating the mean size and spatial distribution of facies in reservoir history matching. Computational Geosciences.2015, 19, 727-746
Chang, H., Zhang, D., History matching of facies distribution with varying mean lengths or different principle correlation orientations. Journal of Petroleum Science and Engineering. 2014,124, 275-292
Chang, H., Zhang, D., History matching of statistically anisotropic fields using the Karhunen-Loeve expansion-based global parameterization technique. Computational Geosciences.2014,18(2),265-282
Zhang, D., Li, H., Chang, H., History Matching for Non-Gaussian Random Fields Using the Probabilistic Collocation Based Kalman Filter. SPE Reservoir Simulation Symposium, The Woodlands, Texas. 2011, SPE 141893.
Zeng, L., Chang, H., Zhang, D., A Probabilistic Collocation-Based Kalman Filter for History Matching. SPE Journal. 2011,16(2), 294-306.
Zhang, D., Shi, L., Chang, H., Yang, J., A comparative study of numerical approaches to risk assessment of contaminant transport. Stochastic Environmental Research and Risk Assessment. 2010, 24(7), 971-984.
Chang, H., Zhang, D., Lu, Z., History matching of facies distribution with the EnKF and level set parameterization. Journal of Computational Physics. 2010, 229, 8011-8030.
Chang, H., Chen, Y., Zhang, D., Data Assimilation of Coupled Fluid Flow and Geomechanics Using the Ensemble Kalman Filter. SPE Journal. 2010, 15(2), 382-394.
Li, H., Chang, H., Zhang, D., Stochastic Collocation Methods for Efficient and Accurate Quantification of Uncertainty in Multiphase Reservoir Simulations. SPE Reservoir Simulation Symposium, The Woodlands, Texas. 2009, SPE 118964.
Chang, H., Zhang, D., A Comparative Study of Stochastic Collocation Methods for Flow in Spatially Correlated Random Fields. Communications in Computational Physics. 2009, 6(3): 509-535.