Search Results - "Wang, Nanzhe"

Deep learning of subsurface flow via theory-guided neural network by Wang, Nanzhe, Zhang, Dongxiao, Chang, Haibin, Li, Heng

“…•TgNN model trained with data while being guided by theory of the underlying problem.•TgNN achieves better predictability, reliability, and generalizability…”
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GANSim-surrogate: An integrated framework for stochastic conditional geomodelling by Song, Suihong, Zhang, Dongxiao, Mukerji, Tapan, Wang, Nanzhe

“…•GANSim, surrogate, and search algorithms are integrated for stochastic geomodelling.•A CNN-based flow surrogate is trained using physics-informed method…”
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Inverse Modeling for Subsurface Flow Based on Deep Learning Surrogates and Active Learning Strategies by Wang, Nanzhe, Chang, Haibin, Zhang, Dongxiao

“…Inverse modeling is usually necessary for prediction of subsurface flows, which is beneficial to characterize underground geologic properties and reduce…”
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Theory-guided full convolutional neural network: An efficient surrogate model for inverse problems in subsurface contaminant transport by He, Tianhao, Wang, Nanzhe, Zhang, Dongxiao

“…•Theory-guided full convolutional neural network (TgFCNN) is trained with data while being simultaneously guided by theory of the underlying problem.•The…”
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Physics‐Informed Convolutional Decoder (PICD): A Novel Approach for Direct Inversion of Heterogeneous Subsurface Flow by Wang, Nanzhe, Kong, Xiang‐Zhao, Zhang, Dongxiao

“…We propose a physics‐informed convolutional decoder (PICD) framework for inverse modeling of heterogenous groundwater flow. PICD stands out as a direct…”
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Deep‐Learning‐Based Inverse Modeling Approaches: A Subsurface Flow Example by Wang, Nanzhe, Chang, Haibin, Zhang, Dongxiao

“…Deep‐learning has achieved good performance and demonstrated great potential for solving forward and inverse problems. In this work, two categories of…”
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Theory-guided Auto-Encoder for surrogate construction and inverse modeling by Wang, Nanzhe, Chang, Haibin, Zhang, Dongxiao

“…A Theory-guided Auto-Encoder (TgAE) framework is proposed for surrogate construction, and is further used for uncertainty quantification and inverse modeling…”
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Efficient uncertainty quantification for dynamic subsurface flow with surrogate by Theory-guided Neural Network by Wang, Nanzhe, Chang, Haibin, Zhang, Dongxiao

“…Subsurface flow problems usually involve some degree of uncertainty. Consequently, uncertainty quantification is commonly necessary for subsurface flow…”
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Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network by Wang, Nanzhe, Chang, Haibin, Zhang, Dongxiao

“…The theory-guided convolutional neural network (TgCNN) framework, which can incorporate discretized governing equation residuals into the training of…”
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Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data by Xu, Hao, Zhang, Dongxiao, Wang, Nanzhe

“…•A deep-learning framework is developed to discover PDE in integral form.•The proposed method performs well for PDEs with high-order derivatives.•The proposed…”
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Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network by Xu, Rui, Zhang, Dongxiao, Wang, Nanzhe

“…•TgCNN is used for surrogate modeling of 3D subsurface flow problems.•Dynamic pressure estimation can be obtained given stochastic permeability…”
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Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow by Xu, Rui, Zhang, Dongxiao, Rong, Miao, Wang, Nanzhe

“…•Weak form physics constraints are incorporated into a fully-connected neural network to predict future responses.•Domain decomposition reduces computational…”
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Solution of diffusivity equations with local sources/sinks and surrogate modeling using weak form Theory-guided Neural Network by Xu, Rui, Wang, Nanzhe, Zhang, Dongxiao

“…•A weak form Theory-guided Neural Network is proposed to solve diffusivity equations with local sources/sinks.•Different methods of domain decomposition and…”
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Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method by Chen, Yuntian, Huang, Dou, Zhang, Dongxiao, Zeng, Junsheng, Wang, Nanzhe, Zhang, Haoran, Yan, Jinyue

“…•Theory-guided HCP is proposed to introduce domain knowledge and prior information as hard constraints into neural networks through projection.•A projection…”
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Deep learning based closed-loop well control optimization of geothermal reservoir with uncertain permeability by Wang, Nanzhe, Chang, Haibin, Kong, Xiang-Zhao, Zhang, Dongxiao

“…To maximize the economic benefits of geothermal energy production, it is essential to optimize geothermal reservoir management strategies, in which geologic…”
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Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network by Wang, Nanzhe, Liao, Qinzhuo, Chang, Haibin, Zhang, Dongxiao

“…Large-scale or high-resolution geologic models usually comprise a huge number of grid blocks, which can be computationally demanding and time-consuming to…”
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A Lagrangian dual-based theory-guided deep neural network by Rong, Miao, Zhang, Dongxiao, Wang, Nanzhe

“…The theory-guided neural network (TgNN) is a kind of method which improves the effectiveness and efficiency of neural network architectures by incorporating…”
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Efficient well placement optimization based on theory-guided convolutional neural network by Wang, Nanzhe, Chang, Haibin, Zhang, Dongxiao, Xue, Liang, Chen, Yuntian

“…Well placement optimization is important in reservoir management, but it is challenging to implement due to the high-dimensional solution space and large…”
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Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data by Wang, Nanzhe, Durlofsky, Louis J

“…Geological carbon storage entails the injection of megatonnes of supercritical CO2 into subsurface formations. The properties of these formations are usually…”
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High glucose stimulates proliferation and inhibits apoptosis of non-small-cell lung cancer cells by JNK-mediated downregulation of p53 pathway by Wang, Lumei, Zhong, Nanzhe, Liu, Shujuan, Zhu, Xiaoyan, Liu, Yujian

“…Accumulating epidemiological studies suggest that diabetes mellitus （DM） may play a critical role in facilitating the progression and metastasis of some tumors…”
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