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Machine Learning for Subsurface Characterization

1, 2019

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Neural network modeling of in situ fluid-filled pore size distributions in subsurface shale reservoirs under data constraints

Neural computing & applications, 2020-04, Vol.32 (8), p.3873-3885

2020

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Characterization of Pore Electrical Conductivity in Porous Media by Weakly Conductive and Nonconductive Pores

Surveys in geophysics, 2023-06, Vol.44 (3), p.877-923

2023

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Robust machine-learning workflow for subsurface geomechanical characterization and comparison against popular empirical correlations

Expert systems with applications, 2021-09, Vol.177 (C), p.114942, Article 114942

2021

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Reinforcement learning based automated history matching for improved hydrocarbon production forecast

Applied energy, 2021-02, Vol.284 (C), p.116311, Article 116311

2021

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Unsupervised learning monitors the carbon-dioxide plume in the subsurface carbon storage reservoir

Expert systems with applications, 2022-09, Vol.201 (C), p.117216, Article 117216

2022

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Long Short-Term Memory and Variational Autoencoder With Convolutional Neural Networks for Generating NMR T2 Distributions

IEEE geoscience and remote sensing letters, 2019-02, Vol.16 (2), p.192-195

2019

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Unsupervised learning from three-component accelerometer data to monitor the spatiotemporal evolution of meso-scale hydraulic fractures

International journal of rock mechanics and mining sciences (Oxford, England : 1997), 2022-03, Vol.151 (C), p.105046, Article 105046

2022

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Monitoring the propagation of mechanical discontinuity using data-driven causal discovery and supervised learning

Mechanical systems and signal processing, 2022-05, Vol.170 (C), p.108791, Article 108791

2022

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Controlling mixed-mode fatigue crack growth using deep reinforcement learning

Applied soft computing, 2022-09, Vol.127 (C), p.109382, Article 109382

2022

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Intelligent Image Segmentation for Organic-Rich Shales Using Random Forest, Wavelet Transform, and Hessian Matrix

IEEE geoscience and remote sensing letters, 2020-07, Vol.17 (7), p.1144-1147

2020

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Controlling fracture propagation using deep reinforcement learning

Engineering applications of artificial intelligence, 2023-06, Vol.122 (C), p.106075, Article 106075

2023

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A generalized machine learning workflow to visualize mechanical discontinuity

Journal of petroleum science & engineering, 2022-03, Vol.210 (C), p.109963, Article 109963

2022

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Machine learning assisted detection and localization of mechanical discontinuity

International journal of fracture, 2022-08, Vol.236 (2), p.219-234

2022

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Spatiotemporal Variations in the Connectivity of Wetting and Nonwetting Phases during Water Alternating Gas Injection

Energy & fuels, 2021-01, Vol.35 (2), p.1129-1142

2021

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Monitoring the propagation of mechanical discontinuity using data-driven causal discovery and supervised learning

Mechanical systems and signal processing, 2022-01, Vol.170

2022

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Robust machine-learning workflow for subsurface geomechanical characterization and comparison against popular empirical correlations

Expert systems with applications, 2021-09, Vol.177 (C)

2021

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Reinforcement learning based automated history matching for improved hydrocarbon production forecast

Applied energy, 2020-12, Vol.284 (C)

2020

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Assessment of miscible light-hydrocarbon-injection recovery efficiency in Bakken shale formation using wireline-log-derived indices

Marine and petroleum geology, 2018-01, Vol.89, p.585-593

2018

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Machine learning workflow to predict multi-target subsurface signals for the exploration of hydrocarbon and water

Fuel (Guildford), 2020-10, Vol.278, p.118357, Article 118357

2020

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Hydraulic fracture mapping using wavelet-based fusion of wave transmission and emission measurements

Journal of natural gas science and engineering, 2021-12, Vol.96 (C), p.104274, Article 104274

2021

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Viscosity prediction using image processing and supervised learning

Fuel (Guildford), 2023-05, Vol.339, p.127320, Article 127320

2023

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Mechanisms of extensive fracture propagation post-coalescence: A machine learning assisted discovery

Mechanical systems and signal processing, 2024-05, Vol.214 (C), p.111401, Article 111401

2024

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The nexus between diversity management (DM) and organizational performance (OP): mediating role of cognitive and affective diversity

European journal of training and development, 2022-01, Vol.46 (1/2), p.214-238

2022

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Prediction of Subsurface NMR T2 Distributions in a Shale Petroleum System Using Variational Autoencoder-Based Neural Networks

IEEE geoscience and remote sensing letters, 2017-12, Vol.14 (12), p.2395-2397

2017

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Machine Learning for Subsurface Characterization

Neural network modeling of in situ fluid-filled pore size distributions in subsurface shale reservoirs under data constraints

Characterization of Pore Electrical Conductivity in Porous Media by Weakly Conductive and Nonconductive Pores

Robust machine-learning workflow for subsurface geomechanical characterization and comparison against popular empirical correlations

Reinforcement learning based automated history matching for improved hydrocarbon production forecast

Unsupervised learning monitors the carbon-dioxide plume in the subsurface carbon storage reservoir

Long Short-Term Memory and Variational Autoencoder With Convolutional Neural Networks for Generating NMR T2 Distributions

Unsupervised learning from three-component accelerometer data to monitor the spatiotemporal evolution of meso-scale hydraulic fractures

Monitoring the propagation of mechanical discontinuity using data-driven causal discovery and supervised learning

Controlling mixed-mode fatigue crack growth using deep reinforcement learning

Intelligent Image Segmentation for Organic-Rich Shales Using Random Forest, Wavelet Transform, and Hessian Matrix

Controlling fracture propagation using deep reinforcement learning

A generalized machine learning workflow to visualize mechanical discontinuity

Machine learning assisted detection and localization of mechanical discontinuity

Spatiotemporal Variations in the Connectivity of Wetting and Nonwetting Phases during Water Alternating Gas Injection

Monitoring the propagation of mechanical discontinuity using data-driven causal discovery and supervised learning

Robust machine-learning workflow for subsurface geomechanical characterization and comparison against popular empirical correlations

Reinforcement learning based automated history matching for improved hydrocarbon production forecast

Assessment of miscible light-hydrocarbon-injection recovery efficiency in Bakken shale formation using wireline-log-derived indices

Machine learning workflow to predict multi-target subsurface signals for the exploration of hydrocarbon and water

Hydraulic fracture mapping using wavelet-based fusion of wave transmission and emission measurements

Viscosity prediction using image processing and supervised learning

Mechanisms of extensive fracture propagation post-coalescence: A machine learning assisted discovery

The nexus between diversity management (DM) and organizational performance (OP): mediating role of cognitive and affective diversity

Prediction of Subsurface NMR T2 Distributions in a Shale Petroleum System Using Variational Autoencoder-Based Neural Networks

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