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Identification of Diagenetic Facies in Low-permeability Sandstone Reservoirs Based on Self-organizing Map Neural Network Algorithm
  • 2024-01-08
元数据
名   称 Identification of Diagenetic Facies in Low-permeability Sandstone Reservoirs Based on Self-organizing Map Neural Network Algorithm
科技资源标识 CSTR:11738.14.NCDC.XDA14.PP5987.2024
DOI 10.2523/IPTC-20304-Abstract
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摘   要 Quantitative identification of diagenetic facies is critical for favorable reservoir prediction. In this study, the diagenetic facies of the Chang-8 reservoir in the Zhenbei area of the Ordos Basin was investigated using an integrated analysis of casting thin sections, scanning electron microscopy (SEM) and X-ray diffraction (XRD). The Chang-8 reservoirs can be subdivided into five major diagenetic facies categories: 1) weakly-dissolved chlorite cemented facies, 2) moderately-compacted mineral dissolution-susceptive facies, 3) moderately-dissolved kaolinite-bearing facies, 4) moderately-compacted carbonate cemented facies, and 5) strongly-compacted tight sandstone facies. On the basis of the above analyses, the diagenetic facies were identified from well logs by involving the supervised-mode self-organizing-map neural network (SSOM) algorithm. Six wireline logs sensitive to the diagenetic facies characteristics were used as the model input, the diagenetic facies prediction model was built using SSOM. The prediction results of the diagenetic facies are in good agreement with the core analysis types, with a matching of 83.87%. Our work also sheds light on reservoir typing by linking the diagenetic facies with reservoir quality and oil testing data.
学科分类
170.50
关键词
shale gas zhenbei area machine learning complex reservoir chang-8 reservoir dissolution pore facies Artificial Intelligence Upstream Oil & Gas petrophysical property
作者 Yan Lu,Keyu Liu,and Ya Wang
数据量 2.0 MiB
论文类型： journal
论文网址： https://doi.org/10.2523/IPTC-20304-Abstract
期刊名称： SPE Paper
出版时间： 2020-09-01
引用和标注
数据引用
Yan Lu,Keyu Liu,and Ya Wang. Identification of Diagenetic Facies in Low-permeability Sandstone Reservoirs Based on Self-organizing Map Neural Network Algorithm. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2024. https://cstr.cn/CSTR:11738.14.NCDC.XDA14.PP5987.2024.
Yan Lu,Keyu Liu,and Ya Wang. Identification of Diagenetic Facies in Low-permeability Sandstone Reservoirs Based on Self-organizing Map Neural Network Algorithm. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2024. https://www.doi.org/10.2523/IPTC-20304-Abstract.
许可协议
知识共享许可协议   本作品采用 知识共享署名 4.0 国际许可协议进行许可。
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