Characterizing clay textures and their impact on the reservoir using deep learning and Lattice-Boltzmann simulation applied to SEM images
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DOI: 10.1016/j.energy.2021.122599
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Cited by:
- Jianmeng Sun & Ping Feng & Peng Chi & Weichao Yan, 2022. "Microscopic Conductivity Mechanism and Saturation Evaluation of Tight Sandstone Reservoirs: A Case Study from Bonan Oilfield, China," Energies, MDPI, vol. 15(4), pages 1-27, February.
- Li, Fuli & Yan, Wei & Kong, Xianyong & Li, Juan & Zhang, Wei & Kang, Zeze & Yang, Tao & Tang, Qing & Wang, Kongyang & Tan, Chaodong, 2024. "Study on multi-factor casing damage prediction method based on machine learning," Energy, Elsevier, vol. 296(C).
- Naser Golsanami & Bin Gong & Sajjad Negahban, 2022. "Evaluating the Effect of New Gas Solubility and Bubble Point Pressure Models on PVT Parameters and Optimizing Injected Gas Rate in Gas-Lift Dual Gradient Drilling," Energies, MDPI, vol. 15(3), pages 1-25, February.
- Han, Dongho & Kwon, Sanguk & Lee, Miyoung & Kim, Jonghoon & Yoo, Kisoo, 2023. "Electrochemical impedance spectroscopy image transformation-based convolutional neural network for diagnosis of external environment classification affecting abnormal aging of Li-ion batteries," Applied Energy, Elsevier, vol. 345(C).
- Xiaolong Guo & Bin Yan & Juyi Zeng & Guangzhi Zhang & Lin Li & You Zhou & Rui Yang, 2022. "Seismic Anisotropic Fluid Identification in Fractured Carbonate Reservoirs," Energies, MDPI, vol. 15(19), pages 1-15, September.
- Kang, Yili & Ma, Chenglin & Xu, Chengyuan & You, Lijun & You, Zhenjiang, 2023. "Prediction of drilling fluid lost-circulation zone based on deep learning," Energy, Elsevier, vol. 276(C).
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Keywords
Clay minerals; Deep learning; MATLAB App; Fluid flow; Lattice-Boltzmann method;All these keywords.
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