Toward robust models for predicting carbon dioxide absorption by nanofluids.
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- Greenhouse Gases: Science & Technology, 2022, v. 12, n. 4, p. 537, doi. 10.1002/ghg.2166
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- Article
Works matching AU Zeraibi, Noureddine
Results: 6
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Applying hybrid support vector regression and genetic algorithm to water alternating CO<sub>2</sub> gas EOR.
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- Greenhouse Gases: Science & Technology, 2020, v. 10, n. 3, p. 613, doi. 10.1002/ghg.1982
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- Article
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NUMERICAL STUDY OF NATURAL MELT CONVECTION IN CYLINDRICAL CAVITY WITH HOT WALLS AND COLD BOTTOM SINK.
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- Thermal Science, 2013, v. 17, n. 3, p. 853, doi. 10.2298/TSCI110327166A
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- Article
4
Modeling temperature dependency of oil - water relative permeability in thermal enhanced oil recovery processes using group method of data handling and gene expression programming.
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- Engineering Applications of Computational Fluid Mechanics, 2019, v. 13, n. 1, p. 724, doi. 10.1080/19942060.2019.1639549
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- Article
5
Numerical study of nanofluid heat transfer SiC>2 through a solar flat plate collector.
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- International Journal of Heat & Technology, 2017, v. 35, n. 3, p. 619, doi. 10.18280/ijht.350319
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- Article
6
Prediction of Key Parameters in the Design of CO 2 Miscible Injection via the Application of Machine Learning Algorithms.
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- Eng (2673-4117), 2023, v. 4, n. 3, p. 1905, doi. 10.3390/eng4030108
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- Article