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Automatic well test interpretation based on convolutional neural network for a radial composite reservoir

Petroleum exploration and development, 2020-06, Vol.47 (3), p.623-631

2020

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Editorial: Applications of artificial intelligence in the oil and gas industry

Frontiers in earth science (Lausanne), 2023-03, Vol.11

2023

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Investigation of low water recovery based on gas-water two-phase low-velocity Non-Darcy flow model for hydraulically fractured horizontal wells in shale

Petroleum, 2023-09, Vol.9 (3), p.364-372

2023

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Effect of Knudsen diffusion and Langmuir adsorption on pressure transient response in tight- and shale-gas reservoirs

Journal of petroleum science & engineering, 2014-12, Vol.124, p.146-154

2014

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Evaluation Method of the Vertical Well Hydraulic Fracturing Effect Based on Production Data

Geofluids, 2021-11, Vol.2021, p.1-12

2021

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Gas Transport in Shale Nanopores with Miscible Zone

Geofluids, 2020, Vol.2020 (2020), p.1-14

2020

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Pressure-Transient Behavior in a Multilayered Polymer Flooding Reservoir

Journal of chemistry, 2015-01, Vol.2015 (2015), p.1-7

2015

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Forecasting monthly gas field production based on the CNN-LSTM model

Energy (Oxford), 2022-12, Vol.260, p.124889, Article 124889

2022

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Physics-constrained deep learning for solving seepage equation

Journal of petroleum science & engineering, 2021-11, Vol.206, p.109046, Article 109046

2021

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Simulation of Gas Transport in Tight/Shale Gas Reservoirs by a Multicomponent Model Based on PEBI Grid

Journal of chemistry, 2015-01, Vol.2015 (2015), p.1-9

2015

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Effect of Matrix-Wellbore Flow and Porosity on Pressure Transient Response in Shale Formation Modeling by Dual Porosity and Dual Permeability System

Journal of chemistry, 2015-01, Vol.2015 (2015), p.1-9

2015

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Solving seepage equation using physics-informed residual network without labeled data

Computer methods in applied mechanics and engineering, 2024-01, Vol.418, p.116563, Article 116563

2024

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A reconstruction method of porous media integrating soft data with hard data

Chinese science bulletin, 2009-06, Vol.54 (11), p.1876-1885

2009

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Deep learning-based analysis of the main controlling factors of different gas-fields recovery rate

Energy (Oxford), 2023-12, Vol.285, p.128767, Article 128767

2023

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Numerical Well Test Analysis for Polymer Flooding considering the Non-Newtonian Behavior

Journal of chemistry, 2015-01, Vol.2015 (2015), p.1-10

2015

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Deep learning‐based method for solving seepage equation under unsteady boundary

International journal for numerical methods in fluids, 2024-01, Vol.96 (1), p.87-101

2024

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Molecular Simulations of Methane Adsorption Behavior in Illite Nanopores Considering Basal and Edge Surfaces

Energy & fuels, 2018-04, Vol.32 (4), p.4783-4796

2018

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Multiparameter Inversion of Reservoirs Based on Deep Learning

SPE journal (Society of Petroleum Engineers (U.S.) : 1996), 2024-01, Vol.29 (1), p.126-137

2024

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A nonlinear solver based on residual network for seepage equation

Engineering applications of artificial intelligence, 2023-11, Vol.126, p.106850, Article 106850

2023

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Research on the reconstruction method of porous media using multiple-point geostatistics

Science China. Physics, mechanics & astronomy, 2010, Vol.53 (1), p.122-134

2010

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Physical Asymptotic-Solution nets: Physics-driven neural networks solve seepage equations as traditional numerical solution behaves

Physics of fluids (1994), 2023-02, Vol.35 (2)

2023

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Artificial intelligence methods for oil and gas reservoir development: Current progresses and perspectives

Advances in Geo-Energy Research, 2023-10, Vol.10 (1), p.65-70

2023

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Automatic Well Test Interpretation Method for Circular Reservoirs With Changing Wellbore Storage Using One-Dimensional Convolutional Neural Network

Journal of energy resources technology, 2023-03, Vol.145 (3)

2023

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Reconstruction of shale image based on Wasserstein Generative Adversarial Networks with gradient penalty

Advances in Geo-Energy Research, 2020-03, Vol.4 (1), p.107-114

2020

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Convolution-Based Model-Solving Method for Three-Dimensional, Unsteady, Partial Differential Equations

Neural computation, 2022-01, Vol.34 (2), p.518-540

2022

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Automatic well test interpretation based on convolutional neural network for a radial composite reservoir

Editorial: Applications of artificial intelligence in the oil and gas industry

Investigation of low water recovery based on gas-water two-phase low-velocity Non-Darcy flow model for hydraulically fractured horizontal wells in shale

Effect of Knudsen diffusion and Langmuir adsorption on pressure transient response in tight- and shale-gas reservoirs

Evaluation Method of the Vertical Well Hydraulic Fracturing Effect Based on Production Data

Gas Transport in Shale Nanopores with Miscible Zone

Pressure-Transient Behavior in a Multilayered Polymer Flooding Reservoir

Forecasting monthly gas field production based on the CNN-LSTM model

Physics-constrained deep learning for solving seepage equation

Simulation of Gas Transport in Tight/Shale Gas Reservoirs by a Multicomponent Model Based on PEBI Grid

Effect of Matrix-Wellbore Flow and Porosity on Pressure Transient Response in Shale Formation Modeling by Dual Porosity and Dual Permeability System

Solving seepage equation using physics-informed residual network without labeled data

A reconstruction method of porous media integrating soft data with hard data

Deep learning-based analysis of the main controlling factors of different gas-fields recovery rate

Numerical Well Test Analysis for Polymer Flooding considering the Non-Newtonian Behavior

Deep learning‐based method for solving seepage equation under unsteady boundary

Molecular Simulations of Methane Adsorption Behavior in Illite Nanopores Considering Basal and Edge Surfaces

Multiparameter Inversion of Reservoirs Based on Deep Learning

A nonlinear solver based on residual network for seepage equation

Research on the reconstruction method of porous media using multiple-point geostatistics

Physical Asymptotic-Solution nets: Physics-driven neural networks solve seepage equations as traditional numerical solution behaves

Artificial intelligence methods for oil and gas reservoir development: Current progresses and perspectives

Automatic Well Test Interpretation Method for Circular Reservoirs With Changing Wellbore Storage Using One-Dimensional Convolutional Neural Network

Reconstruction of shale image based on Wasserstein Generative Adversarial Networks with gradient penalty

Convolution-Based Model-Solving Method for Three-Dimensional, Unsteady, Partial Differential Equations

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