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Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network.

, , , and . CoRR, (2022)

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Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example., , and . CoRR, (2020)Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow., , , and . J. Comput. Phys., (2021)Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method., , , , , , and . CoRR, (2020)Deep Learning of Subsurface Flow via Theory-guided Neural Network., , , and . CoRR, (2019)Deep learning based closed-loop optimization of geothermal reservoir production., , , , and . CoRR, (2022)Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network., , , and . CoRR, (2022)A Lagrangian Dual-based Theory-guided Deep Neural Network., , and . CoRR, (2020)Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow., , , and . CoRR, (2020)Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data., , and . CoRR, (2020)Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network., , and . CoRR, (2021)