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Application of artificial neural network for predicting the performance of CO2 enhanced oil recovery and storage in residual oil zones

Scientific reports, 2020-10, Vol.10 (1), p.18204-18204, Article 18204

2020

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Integrated workflow in 3D geological model construction for evaluation of CO2 storage capacity of a fractured basement reservoir in Cuu Long Basin, Vietnam

International journal of greenhouse gas control, 2019-11, Vol.90, p.102826, Article 102826

2019

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Pyramid with Super Resolution for In-The-Wild Facial Expression Recognition

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Experimental study of moisture effects on spontaneous combustion of Baiyinhua lignite from individual particles to stockpile

Fuel (Guildford), 2023-02, Vol.334, p.126774, Article 126774

2023

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Fault and fracture network characterization using seismic data: a study based on neural network models assessment

Geomechanics and geophysics for geo-energy and geo-resources., 2022-04, Vol.8 (2), Article 41

2022

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Identifying payable cluster distributions for improved reservoir characterization: a robust unsupervised ML strategy for rock typing of depositional facies in heterogeneous rocks

Geomechanics and geophysics for geo-energy and geo-resources., 2024-12, Vol.10 (1), p.1-22, Article 131

2024

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Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: Implications for carbon utilization projects

Energy (Oxford), 2023-09, Vol.278, p.127860, Article 127860

2023

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Estimation of porosity and facies distribution through seismic inversion in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos basin

Frontiers in earth science (Lausanne), 2022-09, Vol.10

2022

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Integrated static modeling and dynamic simulation framework for CO2 storage capacity in Upper Qishn Clastics, S1A reservoir, Yemen

Geomechanics and geophysics for geo-energy and geo-resources., 2022-02, Vol.8 (1), Article 2

2022

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Impact of a new geological modelling method on the enhancement of the CO2 storage assessment of E sequence of Nam Vang field, offshore Vietnam

Energy sources. Part A, Recovery, utilization, and environmental effects, 2020-06, Vol.42 (12), p.1499-1512

2020

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Application of hybrid artificial intelligent models to predict deliverability of underground natural gas storage sites

Renewable energy, 2022-11, Vol.200, p.169-184

2022

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Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations

Applied soft computing, 2023-08, Vol.143, p.110408, Article 110408

2023

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Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables

Separation and purification technology, 2023-07, Vol.316, p.123807, Article 123807

2023

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Predicting Dynamic Contact Angle in Immiscible Fluid Displacement: A Machine Learning Approach for Subsurface Flow Applications

Energy & fuels, 2024-03, Vol.38 (5), p.3635-3644

2024

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Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern – a theoretical study

Expert systems with applications, 2024-09, Vol.250, p.123944, Article 123944

2024

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CO2 Sequestration and Enhanced Oil Recovery via the Water Alternating Gas Scheme in a Mixed Transgressive Sandstone-Carbonate Reservoir: Case Study of a Large Middle East Oilfield

Energy & fuels, 2022-09, Vol.36 (17), p.10299-10314

2022

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Artificial intelligence-based prediction of hydrogen adsorption in various kerogen types: Implications for underground hydrogen storage and cleaner production

International journal of hydrogen energy, 2024-02, Vol.57, p.1000-1009

2024

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Investigate on spontaneous combustion characteristics of lignite stockpiles considering moisture and particle size effects

Energy (Oxford), 2024-11, Vol.309, p.133193, Article 133193

2024

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Predicting CO2 trapping in deep saline aquifers using optimized long short-term memory

Environmental science and pollution research international, 2023-03, Vol.30 (12), p.33780-33794

2023

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Identification of solute transport parameters in fractured granites with heterogeneous apertures

Journal of hydrology (Amsterdam), 2024-04, Vol.633, p.130938, Article 130938

2024

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Robust optimization of CO2 sequestration through a water alternating gas process under geological uncertainties in Cuu Long Basin, Vietnam

Journal of natural gas science and engineering, 2020-04, Vol.76, p.103208, Article 103208

2020

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Enhancing carbon sequestration: Innovative models for wettability dynamics in CO2-brine-mineral systems

Journal of environmental chemical engineering, 2024-10, Vol.12 (5), p.113435, Article 113435

2024

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Stochastic lithofacies and petrophysical property modeling for fast history matching in heterogeneous clastic reservoir applications

Scientific reports, 2024-01, Vol.14 (1), p.22-22, Article 22

2024

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Smart predictive viscosity mixing of CO2–N2 using optimized dendritic neural networks to implicate for carbon capture utilization and storage

Journal of environmental chemical engineering, 2024-04, Vol.12 (2), p.112210, Article 112210

2024

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Hydrocarbon Potential Assessment of Carbonate-Bearing Sediments in a Meyal Oil Field, Pakistan: Insights from Logging Data Using Machine Learning and Quanti Elan Modeling

ACS omega, 2022-11, Vol.7 (43), p.39375-39395

2022

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Application of artificial neural network for predicting the performance of CO2 enhanced oil recovery and storage in residual oil zones

Integrated workflow in 3D geological model construction for evaluation of CO2 storage capacity of a fractured basement reservoir in Cuu Long Basin, Vietnam

Pyramid with Super Resolution for In-The-Wild Facial Expression Recognition

Experimental study of moisture effects on spontaneous combustion of Baiyinhua lignite from individual particles to stockpile

Fault and fracture network characterization using seismic data: a study based on neural network models assessment

Identifying payable cluster distributions for improved reservoir characterization: a robust unsupervised ML strategy for rock typing of depositional facies in heterogeneous rocks

Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: Implications for carbon utilization projects

Estimation of porosity and facies distribution through seismic inversion in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos basin

Integrated static modeling and dynamic simulation framework for CO2 storage capacity in Upper Qishn Clastics, S1A reservoir, Yemen

Impact of a new geological modelling method on the enhancement of the CO2 storage assessment of E sequence of Nam Vang field, offshore Vietnam

Application of hybrid artificial intelligent models to predict deliverability of underground natural gas storage sites

Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations

Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables

Predicting Dynamic Contact Angle in Immiscible Fluid Displacement: A Machine Learning Approach for Subsurface Flow Applications

Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern – a theoretical study

CO2 Sequestration and Enhanced Oil Recovery via the Water Alternating Gas Scheme in a Mixed Transgressive Sandstone-Carbonate Reservoir: Case Study of a Large Middle East Oilfield

Artificial intelligence-based prediction of hydrogen adsorption in various kerogen types: Implications for underground hydrogen storage and cleaner production

Investigate on spontaneous combustion characteristics of lignite stockpiles considering moisture and particle size effects

Predicting CO2 trapping in deep saline aquifers using optimized long short-term memory

Identification of solute transport parameters in fractured granites with heterogeneous apertures

Robust optimization of CO2 sequestration through a water alternating gas process under geological uncertainties in Cuu Long Basin, Vietnam

Enhancing carbon sequestration: Innovative models for wettability dynamics in CO2-brine-mineral systems

Stochastic lithofacies and petrophysical property modeling for fast history matching in heterogeneous clastic reservoir applications

Smart predictive viscosity mixing of CO2–N2 using optimized dendritic neural networks to implicate for carbon capture utilization and storage

Hydrocarbon Potential Assessment of Carbonate-Bearing Sediments in a Meyal Oil Field, Pakistan: Insights from Logging Data Using Machine Learning and Quanti Elan Modeling

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