Applicability of an Artificial Neural Network for Predicting Water-Alternating-CO 2 Performance
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- Ren, Bo & Ren, Shaoran & Zhang, Liang & Chen, Guoli & Zhang, Hua, 2016. "Monitoring on CO2 migration in a tight oil reservoir during CCS-EOR in Jilin Oilfield China," Energy, Elsevier, vol. 98(C), pages 108-121.
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- Jinkai Wang & Hengyi Liu & Jinliang Zhang & Jun Xie, 2018. "Lost Gas Mechanism and Quantitative Characterization during Injection and Production of Water-Flooded Sandstone Underground Gas Storage," Energies, MDPI, vol. 11(2), pages 1-26, January.
- Emad A. Al-Khdheeawi & Doaa Saleh Mahdi, 2019. "Apparent Viscosity Prediction of Water-Based Muds Using Empirical Correlation and an Artificial Neural Network," Energies, MDPI, vol. 12(16), pages 1-10, August.
- Emad A. Al-Khdheeawi, 2024. "Optimizing CO 2 -Water Injection Ratio in Heterogeneous Reservoirs: Implications for CO 2 Geo-Storage," Energies, MDPI, vol. 17(3), pages 1-14, January.
- Bocoum, Alassane Oumar & Rasaei, Mohammad Reza, 2023. "Multi-objective optimization of WAG injection using machine learning and data-driven Proxy models," Applied Energy, Elsevier, vol. 349(C).
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Keywords
water-alternating-gas (WAG); artificial neural network (ANN); estimation; CO 2 storage; enhanced oil recovery (EOR); critical performance;All these keywords.
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