| Application of Cluster Analysis in the Multi-parameter Classification of Porous Media of Low Permeability Reservoirs | |
| Song Kaoping ; Xie Ting ; Liu Ying ; Liang Yunlong ; Chen Li | |
| 2010 | |
| 关键词 | cluster analysis distance similarity coefficient |
| 英文摘要 | Cluster analysis is a multivariate statistical method of the study of sample (or variables) classification, gradually classified by the analysis of the sample or the similarity between the variables. In this paper, taking the case of Daqing low permeability reservoir, according to the movable fluid saturation, the average throat radius and the starting pressure gradient, we used cluster analysis method to conduct the multi-parameter classification of low permeability porous media, and achieved good results. The results showed that: The method in low permeability porous media category is feasible and has strong rationality.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000320736000068&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Management; Operations Research & Management Science; Mathematics, Applied; Social Sciences, Mathematical Methods; CPCI-S(ISTP); CPCI-SSH(ISSHP); 0 |
| 语种 | 英语 |
| 内容类型 | 会议论文 |
| 源URL | [http://ir.pku.edu.cn/handle/20.500.11897/316466]  |
| 专题 | 工学院 |
| 推荐引用方式 GB/T 7714 | Song Kaoping,Xie Ting,Liu Ying,et al. Application of Cluster Analysis in the Multi-parameter Classification of Porous Media of Low Permeability Reservoirs[C]. 见:. |
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