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PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media

Advances in water resources, 2020-04, Vol.138, p.103539, Article 103539

2020

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Automatic Semivariogram Modeling by Convolutional Neural Network

Mathematical geosciences, 2022, Vol.54 (1), p.177-205

2022

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Computationally Efficient Multiscale Neural Networks Applied to Fluid Flow in Complex 3D Porous Media

Transport in porous media, 2021-10, Vol.140 (1), p.241-272

2021

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Conditioning well data to rule-based lobe model by machine learning with a generative adversarial network

Energy exploration & exploitation, 2020-11, Vol.38 (6), p.2558-2578

2020

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History matching of channel reservoirs using ensemble Kalman filter with continuous update of channel information

Energy exploration & exploitation, 2017-01, Vol.35 (1), p.3-23

2017

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Machine-learning-based porosity estimation from multifrequency poststack seismic data

Geophysics, 2022-10, Vol.87 (5), p.M217-M233

2022

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Sensitivity analysis of geological rule-based subsurface model parameters on fluid flow

AAPG bulletin, 2023-06, Vol.107 (6), p.887-906

2023

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Sequential binary classification of lithofacies from well log data and its uncertainty quantification

Interpretation (Tulsa), 2024-09, p.1-53

2024

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Physics-Informed Sampling Scheme for Efficient Well Placement Optimization

Journal of energy resources technology, 2024-07, p.1-22

2024

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Application of latent variable evolution for channel reservoir characterization using generative adversarial networks and particle swarm optimization

Geoenergy Science and Engineering, 2024-09, Vol.240, p.213016, Article 213016

2024

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Rule-Based and Machine Learning Hybrid Reservoir Modeling for Improved Forecasting

Jo, Honggeun

2021

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Deep learning-accelerated 3D carbon storage reservoir pressure forecasting based on data assimilation using surface displacement from InSAR

International journal of greenhouse gas control, 2022-10, Vol.120, p.103765, Article 103765

2022

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Dynamic time warping for well injection and production history connectivity characterization

Computational geosciences, 2023-02, Vol.27 (1), p.159-178

2023

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Hierarchical machine learning workflow for conditional and multiscale deep-water reservoir modeling

AAPG bulletin, 2022-11, Vol.106 (11), p.2163-2186

2022

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Robust Rule-Based Aggradational Lobe Reservoir Models

Natural resources research (New York, N.Y.), 2020-04, Vol.29 (2), p.1193-1213

2020

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Characterization of Various Channel Fields Using an Initial Ensemble Selection Schemeand Covariance Localization

Journal of energy resources technology, 2017-11, Vol.139 (6)

2017

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Synthetic Sonic Log Generation With Machine Learning: A Contest Summary From Five Methods

Petrophysics (Houston, Tex.), 2021-08, Vol.62 (4), p.393-406

2021

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Geological model sampling using PCA-assisted support vector machine for reliable channel reservoir characterization

Journal of petroleum science & engineering, 2018-08, Vol.167, p.396-405

2018

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Machine learning assisted history matching for a deepwater lobe system

Journal of petroleum science & engineering, 2021-12, Vol.207, p.109086, Article 109086

2021

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Field-scale SAGD Performance Evaluation Utilizing Homogeneous Reservoir Model Based on Vertical Wells

Journal of the Korean Society of Mineral and Energy Resources Engineers, 2024-06, Vol.61 (3), p.208-221

2024

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Recursive update of channel information for reliable history matching of channel reservoirs using EnKF with DCT

Journal of petroleum science & engineering, 2017-06, Vol.154, p.19-37

2017

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Machine Learning-based 4-D Seismic Data Integration and Characterization of Channelized Anticline Aquifer for Geological Carbon Sequestration

Journal of the Korean Society of Mineral and Energy Resources Engineers, 2024-02, Vol.61 (1), p.1-14

2024

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Deep Learning-Accelerated 3d Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from Insar

SSRN Electronic Journal

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Microbiology and risk factors for gram-positive Cocci bacteremia in biliary infections

Hepatobiliary & pancreatic diseases international, 2020-10, Vol.19 (5), p.461-466

2020

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PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media

Automatic Semivariogram Modeling by Convolutional Neural Network

Computationally Efficient Multiscale Neural Networks Applied to Fluid Flow in Complex 3D Porous Media

Conditioning well data to rule-based lobe model by machine learning with a generative adversarial network

History matching of channel reservoirs using ensemble Kalman filter with continuous update of channel information

Machine-learning-based porosity estimation from multifrequency poststack seismic data

Sensitivity analysis of geological rule-based subsurface model parameters on fluid flow

Sequential binary classification of lithofacies from well log data and its uncertainty quantification

Physics-Informed Sampling Scheme for Efficient Well Placement Optimization

Application of latent variable evolution for channel reservoir characterization using generative adversarial networks and particle swarm optimization

Rule-Based and Machine Learning Hybrid Reservoir Modeling for Improved Forecasting

Deep learning-accelerated 3D carbon storage reservoir pressure forecasting based on data assimilation using surface displacement from InSAR

Dynamic time warping for well injection and production history connectivity characterization

Hierarchical machine learning workflow for conditional and multiscale deep-water reservoir modeling

Robust Rule-Based Aggradational Lobe Reservoir Models

Characterization of Various Channel Fields Using an Initial Ensemble Selection Schemeand Covariance Localization

Synthetic Sonic Log Generation With Machine Learning: A Contest Summary From Five Methods

Geological model sampling using PCA-assisted support vector machine for reliable channel reservoir characterization

Machine learning assisted history matching for a deepwater lobe system

Field-scale SAGD Performance Evaluation Utilizing Homogeneous Reservoir Model Based on Vertical Wells

Recursive update of channel information for reliable history matching of channel reservoirs using EnKF with DCT

Machine Learning-based 4-D Seismic Data Integration and Characterization of Channelized Anticline Aquifer for Geological Carbon Sequestration

Deep Learning-Accelerated 3d Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from Insar

Microbiology and risk factors for gram-positive Cocci bacteremia in biliary infections

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