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From Coreflooding and Scaled Physical Model Experiments to Field-Scale Enhanced Oil Recovery Evaluations: Comprehensive Review of the Gas-Assisted Gravity Drainage Process

Energy & fuels, 2018-11, Vol.32 (11), p.11067-11079

Al-Mudhafar, Watheq J

2018

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Rapid evaluation and optimization of carbon dioxide‐enhanced oil recovery using reduced‐physics proxy models

Energy science & engineering, 2022-10, Vol.10 (10), p.4112-4135

2022

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Integrating lithofacies and well logging data into smooth generalized additive model for improved permeability estimation: Zubair formation, South Rumaila oil field

Marine geophysical researches, 2019-09, Vol.40 (3), p.315-332

J Al-Mudhafar, Watheq

2019

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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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Well Placement Optimization through the Triple-Completion Gas and Downhole Water Sink-Assisted Gravity Drainage (TC-GDWS-AGD) EOR Process

Energies (Basel), 2023-02, Vol.16 (4), p.1790

2023

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Integrating kernel support vector machines for efficient rock facies classification in the main pay of Zubair formation in South Rumaila oil field, Iraq

Modeling earth systems and environment, 2017-04, Vol.3 (1), p.1-8, Article 12

J. Al-Mudhafar, Watheq

2017

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Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage

The Science of the total environment, 2023-06, Vol.877, p.162944-162944, Article 162944

2023

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Reservoir sensitivity analysis for heterogeneity and anisotropy effects quantification through the cyclic CO2-Assisted Gravity Drainage EOR process – A case study from South Rumaila oil field

Fuel (Guildford), 2018-06, Vol.221, p.455-468

2018

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Multiple–Point Geostatistical Lithofacies Simulation of Fluvial Sand–Rich Depositional Environment: A Case Study From Zubair Formation/South Rumaila Oil Field

SPE reservoir evaluation & engineering, 2018-02, Vol.21 (1), p.39-53

Al-Mudhafar, Watheq J.

2018

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Integrating well log interpretations for lithofacies classification and permeability modeling through advanced machine learning algorithms

Journal of petroleum exploration and production technology, 2017-12, Vol.7 (4), p.1023-1033

Al-Mudhafar, Watheq J.

2017

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Bayesian and LASSO Regressions for Comparative Permeability Modeling of Sandstone Reservoirs

Natural resources research (New York, N.Y.), 2019-01, Vol.28 (1), p.47-62

Al-Mudhafar, Watheq J.

2019

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Geostatistical lithofacies modeling of the upper sandstone member/Zubair formation in south Rumaila oil field, Iraq

Arabian journal of geosciences, 2017-03, Vol.10 (6), p.1-14, Article 153

Al-Mudhafar, Watheq J.

2017

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Improving permeability prediction in carbonate reservoirs through gradient boosting hyperparameter tuning

Earth science informatics, 2023-12, Vol.16 (4), p.3417-3432

2023

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Leveraging Designed Simulations and Machine Learning to Develop a Surrogate Model for Optimizing the Gas–Downhole Water Sink–Assisted Gravity Drainage (GDWS-AGD) Process to Improve Clean Oil Production

Processes, 2024-06, Vol.12 (6), p.1174

2024

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Bayesian kriging for reproducing reservoir heterogeneity in a tidal depositional environment of a sandstone formation

Journal of applied geophysics, 2019-01, Vol.160, p.84-102

Al-Mudhafar, Watheq J.

2019

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Development and simulation of the gas-downhole water sink-assisted gravity drainage (GDWS-AGD) process to reduce carbon footprint and improve clean oil production by injecting CO2 and petroleum-associated gas

Journal of cleaner production, 2024-07, Vol.464, Article 142792

2024

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Performance evaluation of boosting machine learning algorithms for lithofacies classification in heterogeneous carbonate reservoirs

Marine and petroleum geology, 2022-11, Vol.145, p.105886, Article 105886

2022

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Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers

Applied energy, 2022-05, Vol.314, p.118985, Article 118985

2022

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Experimental evaluation of Carbon Dioxide-Assisted Gravity Drainage process (CO2-AGD) to improve oil recovery in reservoirs with strong water drive

Fuel (Guildford), 2022-09, Vol.324, p.124409, Article 124409

2022

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Experimental influence assessments of water drive and gas breakthrough through the CO2-assisted gravity drainage process in reservoirs with strong aquifers

Fuel (Guildford), 2024-08, Vol.370, p.131873, Article 131873

2024

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Key aspects of underground hydrogen storage in depleted hydrocarbon reservoirs and saline aquifers: A review and understanding

Energy Geoscience, 2024-10, Vol.5 (4), p.100339, Article 100339

2024

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Integration of electromagnetic, resistivity-based and production logging data for validating lithofacies and permeability predictive models with tree ensemble algorithms in heterogeneous carbonate reservoirs

Petroleum geoscience, 2024-02, Vol.30 (1)

2024

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Integrating machine learning and data analytics for geostatistical characterization of clastic reservoirs

Journal of petroleum science & engineering, 2020-12, Vol.195, p.107837, Article 107837

Al-Mudhafar, Watheq J.

2020

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Bayesian averaging sensitivity analysis of reservoir heterogeneity and anisotropy of carbon dioxide assisted gravity drainage of a large clastic oil reservoir

Fuel (Guildford), 2023-04, Vol.337, p.127200, Article 127200

2023

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Robust Optimization of Cyclic CO2 flooding through the Gas-Assisted Gravity Drainage process under geological uncertainties

Journal of petroleum science & engineering, 2018-07, Vol.166 (C), p.490-509

2018

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From Coreflooding and Scaled Physical Model Experiments to Field-Scale Enhanced Oil Recovery Evaluations: Comprehensive Review of the Gas-Assisted Gravity Drainage Process

Rapid evaluation and optimization of carbon dioxide‐enhanced oil recovery using reduced‐physics proxy models

Integrating lithofacies and well logging data into smooth generalized additive model for improved permeability estimation: Zubair formation, South Rumaila oil field

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

Well Placement Optimization through the Triple-Completion Gas and Downhole Water Sink-Assisted Gravity Drainage (TC-GDWS-AGD) EOR Process

Integrating kernel support vector machines for efficient rock facies classification in the main pay of Zubair formation in South Rumaila oil field, Iraq

Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and storage

Reservoir sensitivity analysis for heterogeneity and anisotropy effects quantification through the cyclic CO2-Assisted Gravity Drainage EOR process – A case study from South Rumaila oil field

Multiple–Point Geostatistical Lithofacies Simulation of Fluvial Sand–Rich Depositional Environment: A Case Study From Zubair Formation/South Rumaila Oil Field

Integrating well log interpretations for lithofacies classification and permeability modeling through advanced machine learning algorithms

Bayesian and LASSO Regressions for Comparative Permeability Modeling of Sandstone Reservoirs

Geostatistical lithofacies modeling of the upper sandstone member/Zubair formation in south Rumaila oil field, Iraq

Improving permeability prediction in carbonate reservoirs through gradient boosting hyperparameter tuning

Leveraging Designed Simulations and Machine Learning to Develop a Surrogate Model for Optimizing the Gas–Downhole Water Sink–Assisted Gravity Drainage (GDWS-AGD) Process to Improve Clean Oil Production

Bayesian kriging for reproducing reservoir heterogeneity in a tidal depositional environment of a sandstone formation

Development and simulation of the gas-downhole water sink-assisted gravity drainage (GDWS-AGD) process to reduce carbon footprint and improve clean oil production by injecting CO2 and petroleum-associated gas

Performance evaluation of boosting machine learning algorithms for lithofacies classification in heterogeneous carbonate reservoirs

Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers

Experimental evaluation of Carbon Dioxide-Assisted Gravity Drainage process (CO2-AGD) to improve oil recovery in reservoirs with strong water drive

Experimental influence assessments of water drive and gas breakthrough through the CO2-assisted gravity drainage process in reservoirs with strong aquifers

Key aspects of underground hydrogen storage in depleted hydrocarbon reservoirs and saline aquifers: A review and understanding

Integration of electromagnetic, resistivity-based and production logging data for validating lithofacies and permeability predictive models with tree ensemble algorithms in heterogeneous carbonate reservoirs

Integrating machine learning and data analytics for geostatistical characterization of clastic reservoirs

Bayesian averaging sensitivity analysis of reservoir heterogeneity and anisotropy of carbon dioxide assisted gravity drainage of a large clastic oil reservoir

Robust Optimization of Cyclic CO2 flooding through the Gas-Assisted Gravity Drainage process under geological uncertainties

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