Nanzhe Wang
Publications by Year
Research Areas
Reservoir Engineering and Simulation Methods, Hydraulic Fracturing and Reservoir Analysis, Seismic Imaging and Inversion Techniques, Model Reduction and Neural Networks, Neural Networks and Applications
Most-Cited Works
- → Deep learning of subsurface flow via theory-guided neural network(2020)305 cited
- → Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method(2021)139 cited
- → Efficient uncertainty quantification for dynamic subsurface flow with surrogate by Theory-guided Neural Network(2020)74 cited
- → Theory-guided Auto-Encoder for surrogate construction and inverse modeling(2021)69 cited
- → Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow(2021)61 cited
- → Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network(2022)60 cited
- → Efficient well placement optimization based on theory-guided convolutional neural network(2021)54 cited
- → Efficient Uncertainty Quantification and Data Assimilation via Theory-Guided Convolutional Neural Network(2021)45 cited
- → Deep learning based closed-loop well control optimization of geothermal reservoir with uncertain permeability(2023)42 cited
- → Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data(2021)35 cited