Nanzhe Wang

All Publications

• GANSim-surrogate: An integrated framework for stochastic conditional geomodelling JOURNAL OF HYDROLOGY Song, S., Zhang, D., Mukerji, T., Wang, N. 2023; 620

  View details for DOI 10.1016/j.jhydrol.2023.129493

  View details for Web of Science ID 000990444800001

• Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network JOURNAL OF COMPUTATIONAL PHYSICS Wang, N., Chang, H., Zhang, D. 2022; 466

  View details for DOI 10.1016/j.jcp.2022.111419

  View details for Web of Science ID 000885956800002

• Efficient well placement optimization based on theory-guided convolutional neural network JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING Wang, N., Chang, H., Zhang, D., Xue, L., Chen, Y. 2022; 208

  View details for DOI 10.1016/j.petrol.2021.109545

  View details for Web of Science ID 000710878400059

• Theory-guided Auto-Encoder for surrogate construction and inverse modeling COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Wang, N., Chang, H., Zhang, D. 2021; 385

  View details for DOI 10.1016/j.cma.2021.114037

  View details for Web of Science ID 000691787800002

• Deep-Learning-Based Inverse Modeling Approaches: A Subsurface Flow Example JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH Wang, N., Chang, H., Zhang, D. 2021; 126 (2)

  View details for DOI 10.1029/2020JB020549

  View details for Web of Science ID 000631921200043

• Efficient uncertainty quantification for dynamic subsurface flow with surrogate by Theory-guided Neural Network COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Wang, N., Chang, H., Zhang, D. 2021; 373

  View details for DOI 10.1016/j.cma.2020.113492

  View details for Web of Science ID 000600288300006

• Deep learning of subsurface flow via theory-guided neural network JOURNAL OF HYDROLOGY Wang, N., Zhang, D., Chang, H., Li, H. 2020; 584

  View details for DOI 10.1016/j.jhydrol.2020.124700

  View details for Web of Science ID 000527390200029