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Applications of Artificial Intelligence Techniques in the Petroleum Industry

1, 2020

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Optimization of WAG Process Using Dynamic Proxy, Genetic Algorithm and Ant Colony Optimization

Arabian journal for science and engineering (2011), 2018-11, Vol.43 (11), p.6399-6412

2018

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Evolving support vector regression using Grey Wolf optimization; forecasting the geomechanical properties of rock

Engineering with computers, 2022-04, Vol.38 (2), p.1819-1833

2022

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On the evaluation of the carbon dioxide solubility in polymers using gene expression programming

Scientific reports, 2023-08, Vol.13 (1), p.12505-12505, Article 12505

2023

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Modeling solubility of sulfur in pure hydrogen sulfide and sour gas mixtures using rigorous machine learning methods

International journal of hydrogen energy, 2020-11, Vol.45 (58), p.33274-33287

Nait Amar, Menad

2020

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Production optimization under waterflooding with long short-term memory and metaheuristic algorithm

Petroleum, 2023-03, Vol.9 (1), p.53-60

2023

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Prediction of Wax Appearance Temperature Using Artificial Intelligent Techniques

Arabian journal for science and engineering (2011), 2020-02, Vol.45 (2), p.1319-1330

2020

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Proxy Model Development for the Optimization of Water Alternating CO2 Gas for Enhanced Oil Recovery

Energies (Basel), 2023-04, Vol.16 (8), p.3337

2023

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On the evaluation of the interfacial tension of immiscible binary systems of methane, carbon dioxide, and nitrogen-alkanes using robust data-driven approaches

Alexandria engineering journal, 2022-12, Vol.61 (12), p.11601-11614

2022

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Toward robust models for predicting carbon dioxide absorption by nanofluids

Greenhouse gases: science and technology, 2022-08, Vol.12 (4), p.537-551

2022

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Towards improved genetic programming based-correlations for predicting the interfacial tension of the systems pure/impure CO2-brine

Journal of the Taiwan Institute of Chemical Engineers, 2021-10, Vol.127, p.186-196

Nait Amar, Menad

2021

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Predicting wax deposition using robust machine learning techniques

Petroleum, 2022-06, Vol.8 (2), p.167-173

2022

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Modeling interfacial tension of the hydrogen-brine system using robust machine learning techniques: Implication for underground hydrogen storage

International journal of hydrogen energy, 2022-12, Vol.47 (93), p.39595-39605

2022

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Robust smart schemes for modeling carbon dioxide uptake in metal − organic frameworks

Fuel (Guildford), 2022-03, Vol.311, p.122545, Article 122545

2022

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Rigorous Connectionist Models to Predict Carbon Dioxide Solubility in Various Ionic Liquids

Applied sciences, 2020-01, Vol.10 (1), p.304

2020

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Adaptive surrogate modeling with evolutionary algorithm for well placement optimization in fractured reservoirs

Applied soft computing, 2019-07, Vol.80, p.177-191

2019

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Toward smart schemes for modeling CO2 solubility in crude oil: Application to carbon dioxide enhanced oil recovery

Fuel (Guildford), 2021-02, Vol.285, p.119147, Article 119147

2021

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Application of machine learning methods for estimating and comparing the sulfur dioxide absorption capacity of a variety of deep eutectic solvents

Journal of cleaner production, 2022-08, Vol.363, p.132465, Article 132465

2022

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Modeling Wax Disappearance Temperature Using Advanced Intelligent Frameworks

Energy & fuels, 2019-11, Vol.33 (11), p.10959-10968

2019

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On the evaluation of solubility of hydrogen sulfide in ionic liquids using advanced committee machine intelligent systems

Journal of the Taiwan Institute of Chemical Engineers, 2021-01, Vol.118, p.159-168

2021

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Predicting thermal conductivity of carbon dioxide using group of data-driven models

Journal of the Taiwan Institute of Chemical Engineers, 2020-08, Vol.113, p.165-177

2020

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A Survey on the Application of Machine Learning and Metaheuristic Algorithms for Intelligent Proxy Modeling in Reservoir Simulation

Computers & chemical engineering, 2023-02, Vol.170, p.108107, Article 108107

2023

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On the evaluation of thermal conductivity of nanofluids using advanced intelligent models

International communications in heat and mass transfer, 2020-11, Vol.118, p.104825, Article 104825

2020

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Applying hybrid support vector regression and genetic algorithm to water alternating CO2 gas EOR

Greenhouse gases: science and technology, 2020-06, Vol.10 (3), p.613-630

2020

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Modeling interfacial tension of methane-brine systems at high pressure and high salinity conditions

Journal of the Taiwan Institute of Chemical Engineers, 2020-09, Vol.114, p.125-141

2020

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Applications of Artificial Intelligence Techniques in the Petroleum Industry

Optimization of WAG Process Using Dynamic Proxy, Genetic Algorithm and Ant Colony Optimization

Evolving support vector regression using Grey Wolf optimization; forecasting the geomechanical properties of rock

On the evaluation of the carbon dioxide solubility in polymers using gene expression programming

Modeling solubility of sulfur in pure hydrogen sulfide and sour gas mixtures using rigorous machine learning methods

Production optimization under waterflooding with long short-term memory and metaheuristic algorithm

Prediction of Wax Appearance Temperature Using Artificial Intelligent Techniques

Proxy Model Development for the Optimization of Water Alternating CO2 Gas for Enhanced Oil Recovery

On the evaluation of the interfacial tension of immiscible binary systems of methane, carbon dioxide, and nitrogen-alkanes using robust data-driven approaches

Toward robust models for predicting carbon dioxide absorption by nanofluids

Towards improved genetic programming based-correlations for predicting the interfacial tension of the systems pure/impure CO2-brine

Predicting wax deposition using robust machine learning techniques

Modeling interfacial tension of the hydrogen-brine system using robust machine learning techniques: Implication for underground hydrogen storage

Robust smart schemes for modeling carbon dioxide uptake in metal − organic frameworks

Rigorous Connectionist Models to Predict Carbon Dioxide Solubility in Various Ionic Liquids

Adaptive surrogate modeling with evolutionary algorithm for well placement optimization in fractured reservoirs

Toward smart schemes for modeling CO2 solubility in crude oil: Application to carbon dioxide enhanced oil recovery

Application of machine learning methods for estimating and comparing the sulfur dioxide absorption capacity of a variety of deep eutectic solvents

Modeling Wax Disappearance Temperature Using Advanced Intelligent Frameworks

On the evaluation of solubility of hydrogen sulfide in ionic liquids using advanced committee machine intelligent systems

Predicting thermal conductivity of carbon dioxide using group of data-driven models

A Survey on the Application of Machine Learning and Metaheuristic Algorithms for Intelligent Proxy Modeling in Reservoir Simulation

On the evaluation of thermal conductivity of nanofluids using advanced intelligent models

Applying hybrid support vector regression and genetic algorithm to water alternating CO2 gas EOR

Modeling interfacial tension of methane-brine systems at high pressure and high salinity conditions

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