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1Academic Journal
المؤلفون: Saud Qadir Khan, Farzain Ud Din Kirmani
المصدر: Petroleum Research, Vol 9, Iss 3, Pp 393-408 (2024)
مصطلحات موضوعية: Lithology identification, Deep learning, LSTM, Imbalanced dataset, Conventional well logs, Oils, fats, and waxes, TP670-699, Petroleum refining. Petroleum products, TP690-692.5
وصف الملف: electronic resource
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2Academic Journal
المصدر: Artificial Intelligence in Geosciences, Vol 5, Iss , Pp 100094- (2024)
مصطلحات موضوعية: NMR log, Deep learning, Pore size distribution, Pore size classification, Conventional well logs, Geography (General), G1-922, Information technology, T58.5-58.64
وصف الملف: electronic resource
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3Academic Journal
المؤلفون: Bo Shen, Yunhe Tao, Gang Wang, Haitao Fan, Xindong Wang, Ke Sun
المصدر: Processes; Volume 11; Issue 5; Pages: 1466
مصطلحات موضوعية: shale oil, mobility, free oil porosity, flowing porosity, conventional well logs
جغرافية الموضوع: agris
وصف الملف: application/pdf
Relation: Energy Systems; https://dx.doi.org/10.3390/pr11051466
الاتاحة: https://doi.org/10.3390/pr11051466
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4Academic Journal
المؤلفون: Liu Chenglin, Wang Zeyu, Gu Zhenyu, Hu Qiuhong, Zhou Kaijin, Liang Quanquan
المصدر: Open Geosciences, Vol 15, Iss 1, Pp 32-18 (2023)
مصطلحات موضوعية: resistivity cutoff, lrlc pays, simandoux equation, conventional well logs, enping formation, Geology, QE1-996.5
Relation: https://doi.org/10.1515/geo-2022-0520; https://doaj.org/toc/2391-5447; https://doaj.org/article/bae8b66ffe18499fbfd0cd5d9bbc69fb