{"title":"模糊聚类分析在蒸汽驱优势通道划分中的应用——以CF油田P612区块沙湾组一段S121层为例","authors":"Rui Qi, Hui-jian Wen","doi":"10.54097/ije.v1i1.3430","DOIUrl":null,"url":null,"abstract":"In order to determine the dominant channel of steam flooding in heavy oil reservoir P612 block of CF oilfield, the geological evaluation parameters of five dominant channels of steam flooding, namely permeability, reservoir thickness, sedimentary microfacies, coefficient of variation and interlayer frequency, were determined by combining reservoir static description with development dynamic analysis. According to the development dynamic characteristics, the sand body of the dominant channel was determined and the sample data was extracted. The fuzzy clustering analysis method was used to divide the two categories of the dominant channel and determine the interval value of its parameters. Thus, the geological classification evaluation standard of the dominant channel was established.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"39 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of fuzzy clustering analysis in Classification of dominant channel of steam flooding: A case study of S121 Layer, Member 1 of Shawan Formation, Block P612, CF Oilfield\",\"authors\":\"Rui Qi, Hui-jian Wen\",\"doi\":\"10.54097/ije.v1i1.3430\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to determine the dominant channel of steam flooding in heavy oil reservoir P612 block of CF oilfield, the geological evaluation parameters of five dominant channels of steam flooding, namely permeability, reservoir thickness, sedimentary microfacies, coefficient of variation and interlayer frequency, were determined by combining reservoir static description with development dynamic analysis. According to the development dynamic characteristics, the sand body of the dominant channel was determined and the sample data was extracted. The fuzzy clustering analysis method was used to divide the two categories of the dominant channel and determine the interval value of its parameters. Thus, the geological classification evaluation standard of the dominant channel was established.\",\"PeriodicalId\":14093,\"journal\":{\"name\":\"International journal of energy science\",\"volume\":\"39 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of energy science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54097/ije.v1i1.3430\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of energy science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54097/ije.v1i1.3430","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of fuzzy clustering analysis in Classification of dominant channel of steam flooding: A case study of S121 Layer, Member 1 of Shawan Formation, Block P612, CF Oilfield
In order to determine the dominant channel of steam flooding in heavy oil reservoir P612 block of CF oilfield, the geological evaluation parameters of five dominant channels of steam flooding, namely permeability, reservoir thickness, sedimentary microfacies, coefficient of variation and interlayer frequency, were determined by combining reservoir static description with development dynamic analysis. According to the development dynamic characteristics, the sand body of the dominant channel was determined and the sample data was extracted. The fuzzy clustering analysis method was used to divide the two categories of the dominant channel and determine the interval value of its parameters. Thus, the geological classification evaluation standard of the dominant channel was established.