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References from Permeability prediction of tight sandstone reservoirs under few-shot and imbalanced conditions: A generative data enhancement and bi-directional attention fusion framework. Local targets link to admitted publications; unresolved targets remain external evidence.
Geological concepts, characteristics, resource potential and key techniques of unconventional hydrocarbon: on unconventional petroleum geology
10.1016/s1876-3804(13)60053-1 · 2013 · External reference
Concept, technology and practice of ”man-made reservoirs” development
10.1016/s1876-3804(17)30019-8 · 2017 · External reference
Connotation, pathway and significance of carbon neutrality ”super energy system”: a case study of the ordos basin, nw China
10.1016/s1876-3804(24)60525-2 · 2024 · External reference
Application of bayesian theory to predict permeability of reservoir
2015 · External reference
Classification of reservoir permeability prediction technology based on fisher discrimination
2017 · External reference
A permeability prediction method based on pore structure and lithofacies
10.1016/s1876-3804(19)60250-8 · 2019 · External reference
Research progress of permeability prediction technology for tight sandstone reservoirs
2022 · External reference
Characterization of reservoir permeability and analysis of influencing factors in fracture-pore media
2021 · External reference
Non-linear regression for permeability prediction and hydraulic flow units' characterization from core and well logs of a pre-salt carbonate reservoir in the santos basin, Brazil
10.1016/j.jappgeo.2025.105865 · 2025 · External reference
Rtg-gnn: a novel rock topology-guided approach for permeability prediction using graph neural networks
10.1016/j.geoen.2024.213358 · 2024 · External reference
Prediction of permeability from well logs using a new hybrid machine learning algorithm
10.1016/j.petlm.2022.03.003 · 2023 · External reference
A novel deep learning method based on 2-d cnns and grus for permeability prediction of tight sandstone
10.1016/j.geoen.2024.212851 · 2024 · External reference
Estimation of reservoir porosity from drilling parameters using artificial neural networks
2020 · External reference
Research progress of reservoir logging evaluation based on machine learning
2022 · External reference
Prediction of relative permeability and calculation of water cut of tight sandstone reservoir based on radial basis function neural network
2020 · External reference
Permeability prediction of tight sandstone reservoir based on improved bpnn and t2 full-spectrum
2017 · External reference
Permeability prediction using pso-xgboost based on logging data
2021 · External reference
Logging interpretation model on complex carbonate reservoir permeability based on hybrid simulated annealing-genetic algorithm-random forest algorithm
2022 · External reference
Fracture parameter optimization of tight sandstone gas reservoirs based on the hybrid optimization algorithm and deep neural network model
2024 · External reference
Comparison of machine learning methods for estimating permeability and porosity of oil reservoirs via petro-physical logs
10.1016/j.petlm.2018.06.002 · 2019 · External reference
Permeability prediction using logging data in a heterogeneous carbonate reservoir: a new self-adaptive predictor
10.1016/j.geoen.2023.211635 · 2023 · External reference
Density logging curve reconstruction method based on tcn-bigru with multi-head attention mechanism
2025 · External reference
Prediction method of reservoir evaluation parameters based on improved stacking fusion model
2025 · External reference
Reservoir porosity prediction using the vae-bigru-attention model: an example study of middle-low permeability sandstone reservoir
2025 · External reference
A transformer-based approach for anomaly detection in intelligent well completions
2025 · External reference
A multiple-input deep residual convolutional neural network for reservoir permeability prediction
10.1016/j.geoen.2023.211420 · 2023 · External reference
Prediction of reservoir porosity, permeability, and saturation based on gated recurrent unit neural network
2020 · External reference
Permeability logging evaluation of carbonate reservoirs in oilfield h of Iraq based on long short-term memory recurrent neural network
2022 · External reference
Multitask learning based reservoir parameters prediction with geophysical logs
2022 · External reference
Prediction case of core parameters of shale gas reservoirs through deep transformer transfer learning
2023 · External reference
Research status and application of artificial intelligence large models in the oil and gas industry
10.1016/s1876-3804(24)60524-0 · 2024 · External reference
Artificial intelligence large model for logging curve reconstruction
10.1016/s1876-3804(25)60607-0 · 2025 · External reference
Synthetic well logs generation via recurrent neural networks
10.1016/s1876-3804(18)30068-5 · 2018 · External reference
Physics-informed machine learning
10.1038/s42254-021-00314-5 · 2021 · External reference
Can-pinn: a fast physics-informed neural network based on coupled-automatic–numerical differentiation method
10.1016/j.cma.2022.114909 · 2022 · External reference
Physics-informed machine learning for solving partial differential equations in porous media
2023 · External reference
Application and development trend of artificial intelligence in petroleum exploration and development
10.1016/s1876-3804(21)60001-0 · 2021 · External reference
Semi-supervised neural network for complex lithofacies identification using well logs
2024 · External reference
Fracture identification and evaluation using conventional logs in tight sandstones: a case study in the ordos basin, China
10.1016/j.engeos.2020.06.003 · 2020 · External reference
A deep kernel method for lithofacies identification using conventional well logs
10.1016/j.petsci.2022.11.027 · 2023 · External reference
Experimental study of starting pressure gradient in carbonate gas reservoirs
10.1007/s10706-024-03004-y · 2024 · External reference
Intelligent modeling with physics-informed machine learning for petroleum engineering problems
10.46690/ager.2023.05.01 · 2023 · External reference
Data-driven physics-informed interpolation evolution combining historical-predicted knowledge for remaining oil distribution prediction
10.1016/j.petrol.2022.110795 · 2022 · External reference
A physics-informed deep convolutional neural network for simulating and predicting transient darcy flows in heterogeneous reservoirs without labeled data
10.1016/j.petrol.2022.110179 · 2022 · External reference
Physics-integrated neural networks for improved mineral volumes and porosity estimation from geophysical well logs
10.1016/j.engeos.2025.100410 · 2025 · External reference
