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Lithology identification from well-log curves via neural networks with additional geologic constraint

Geophysics, 2021-09, Vol.86 (5), p.IM85-IM100

2021

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Deep learning of subsurface flow via theory-guided neural network

Journal of hydrology (Amsterdam), 2020-05, Vol.584, p.124700, Article 124700

2020

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Deep learning based forecasting of photovoltaic power generation by incorporating domain knowledge

Energy (Oxford), 2021-06, Vol.225, p.120240, Article 120240

2021

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Comprehensive Review of Caprock-Sealing Mechanisms for Geologic Carbon Sequestration

Environmental science & technology, 2013-01, Vol.47 (1), p.9-22

2013

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Handling missing data in well-log curves with a gated graph neural network

Geophysics, 2023-01, Vol.88 (1), p.D13-D30

2023

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Synthetic well logs generation via Recurrent Neural Networks

Petroleum exploration and development, 2018-08, Vol.45 (4), p.629-639

2018

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Well Log Generation via Ensemble Long Short‐Term Memory (EnLSTM) Network

Geophysical research letters, 2020-12, Vol.47 (23), p.n/a

2020

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Digital Rock Reconstruction with User-Defined Properties Using Conditional Generative Adversarial Networks

Transport in porous media, 2022-08, Vol.144 (1), p.255-281

2022

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DL-PDE: Deep-Learning Based Data-Driven Discovery of Partial Differential Equations from Discrete and Noisy Data

Communications in computational physics, 2021-03, Vol.29 (3), p.698-728

2021

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Predicting permeability from 3D rock images based on CNN with physical information

Journal of hydrology (Amsterdam), 2022-03, Vol.606, p.127473, Article 127473

2022

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Development of 3‐D Curved Fracture Swarms in Shale Rock Driven by Rapid Fluid Pressure Buildup: Insights From Numerical Modeling

Geophysical research letters, 2021-04, Vol.48 (8), p.n/a

2021

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Lithofacies identification from well-logging curves via integrating prior knowledge into deep learning

Geophysics, 2024-01, Vol.89 (1), p.D31-D41

2024

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Microalgae-based oral microcarriers for gut microbiota homeostasis and intestinal protection in cancer radiotherapy

Nature communications, 2022-03, Vol.13 (1), p.1413-1413, Article 1413

2022

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Probabilistic collocation method for flow in porous media: Comparisons with other stochastic methods

Water resources research, 2007-09, Vol.43 (9), p.W09409-n/a

2007

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Forward prediction and surrogate modeling for subsurface hydrology: A review of theory-guided machine-learning approaches

Computers & geosciences, 2024-06, Vol.188, p.105611, Article 105611

2024

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Multiscale pore structure and its effect on gas transport in organic‐rich shale

Water resources research, 2017-07, Vol.53 (7), p.5438-5450

2017

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Deep-learning of parametric partial differential equations from sparse and noisy data

Physics of fluids (1994), 2021-03, Vol.33 (3)

2021

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Retention time prediction for chromatographic enantioseparation by quantile geometry-enhanced graph neural network

Nature communications, 2023-05, Vol.14 (1), p.3095-3095, Article 3095

2023

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RockGPT: reconstructing three-dimensional digital rocks from single two-dimensional slice with deep learning

Computational geosciences, 2022-06, Vol.26 (3), p.677-696

2022

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Deep learning of dynamic subsurface flow via theory-guided generative adversarial network

Journal of hydrology (Amsterdam), 2021-10, Vol.601, p.126626, Article 126626

2021

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Probabilistic collocation method for strongly nonlinear problems: 3. Transform by time

Water resources research, 2016-03, Vol.52 (3), p.2366-2375

2016

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Coupled thermo-hydro-mechanical analysis of stimulation and production for fractured geothermal reservoirs

Applied energy, 2019-08, Vol.247, p.40-59

2019

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A modified BET equation to investigate supercritical methane adsorption mechanisms in shale

Marine and petroleum geology, 2019-07, Vol.105, p.284-292

2019

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Experimental investigation of water sensitivity effects on microscale mechanical behavior of shale

International journal of rock mechanics and mining sciences (Oxford, England : 1997), 2021-09, Vol.145, p.104837, Article 104837

2021

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Laboratory characterisation of fracture compressibility for coal and shale gas reservoir rocks: A review

International journal of coal geology, 2019-03, Vol.204, p.1-17

2019

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Lithology identification from well-log curves via neural networks with additional geologic constraint

Deep learning of subsurface flow via theory-guided neural network

Deep learning based forecasting of photovoltaic power generation by incorporating domain knowledge

Comprehensive Review of Caprock-Sealing Mechanisms for Geologic Carbon Sequestration

Handling missing data in well-log curves with a gated graph neural network

Synthetic well logs generation via Recurrent Neural Networks

Well Log Generation via Ensemble Long Short‐Term Memory (EnLSTM) Network

Digital Rock Reconstruction with User-Defined Properties Using Conditional Generative Adversarial Networks

DL-PDE: Deep-Learning Based Data-Driven Discovery of Partial Differential Equations from Discrete and Noisy Data

Predicting permeability from 3D rock images based on CNN with physical information

Development of 3‐D Curved Fracture Swarms in Shale Rock Driven by Rapid Fluid Pressure Buildup: Insights From Numerical Modeling

Lithofacies identification from well-logging curves via integrating prior knowledge into deep learning

Microalgae-based oral microcarriers for gut microbiota homeostasis and intestinal protection in cancer radiotherapy

Probabilistic collocation method for flow in porous media: Comparisons with other stochastic methods

Forward prediction and surrogate modeling for subsurface hydrology: A review of theory-guided machine-learning approaches

Multiscale pore structure and its effect on gas transport in organic‐rich shale

Deep-learning of parametric partial differential equations from sparse and noisy data

Retention time prediction for chromatographic enantioseparation by quantile geometry-enhanced graph neural network

RockGPT: reconstructing three-dimensional digital rocks from single two-dimensional slice with deep learning

Deep learning of dynamic subsurface flow via theory-guided generative adversarial network

Probabilistic collocation method for strongly nonlinear problems: 3. Transform by time

Coupled thermo-hydro-mechanical analysis of stimulation and production for fractured geothermal reservoirs

A modified BET equation to investigate supercritical methane adsorption mechanisms in shale

Experimental investigation of water sensitivity effects on microscale mechanical behavior of shale

Laboratory characterisation of fracture compressibility for coal and shale gas reservoir rocks: A review

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