Approaches of Combining Machine Learning with NMR-Based Pore Structure Characterization for Reservoir Evaluation
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- Mao, Shaowen & Chen, Bailian & Malki, Mohamed & Chen, Fangxuan & Morales, Misael & Ma, Zhiwei & Mehana, Mohamed, 2024. "Efficient prediction of hydrogen storage performance in depleted gas reservoirs using machine learning," Applied Energy, Elsevier, vol. 361(C).
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- Feiyu Chen & Linghui Sun & Boyu Jiang & Xu Huo & Xiuxiu Pan & Chun Feng & Zhirong Zhang, 2025. "A Review of AI Applications in Unconventional Oil and Gas Exploration and Development," Energies, MDPI, vol. 18(2), pages 1-30, January.
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machine learning; intelligent evaluation and prediction; spherical–tubular model; petrophysical parameters;All these keywords.
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