A Method for Automatic Identification of Natural Fracture Based on Machine Learning: A Case Study on the Dahebian Block of the Liupanshui Basin in Guizhou Province
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0272-5_39
Reference27 articles.
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4. Chen, S.Y., Wang, Y.J., Guo, J.Y., et al.: Multi-scale evaluation of fractured carbonate reservoir and its implication to sweet-spot optimization: a case study of Tazhong oilfield, central tarim basin. China. Energy Reports 7, 2976–2988 (2021)
5. Pan, D.D., Li, Y.H., Lin, C.J., et al.: Intelligent rock fracture identification based on image semantic segmentation: methodology and application. Environ. Earth Sci. 82(3), 71 (2023)
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