Research on the Distribution of Remaining Gas Based on the Dynamic Fine-Grained K-Means Recursive Algorithm

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Detalles Bibliográficos
Publicado en:	Chemistry and Technology of Fuels and Oils vol. 61, no. 1 (Mar 2025), p. 195
Autor principal:	Zhao, Chunlan
Otros Autores:	He, Xi, Guo, Ping, Jing, Jintao, Zheng, Wenjuan, Wu, Xiang
Publicado:	Springer Nature B.V.
Materias:	China Sandstone Oil reserves Neural networks Unsupervised learning Classification Support vector machines Algorithms Reservoirs Physical properties Machine learning Residual gas Natural gas reserves Economic Environmental
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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