Liu Qicheng, Zheng Wenjing, Tong Xiangrong, Song Yibin, Zhang Wei
{"title":"时移地震属性聚类分析","authors":"Liu Qicheng, Zheng Wenjing, Tong Xiangrong, Song Yibin, Zhang Wei","doi":"10.1109/ICSAI.2012.6223163","DOIUrl":null,"url":null,"abstract":"Time-lapse attribution clustering analysis technology is studied. By analyzing many kinds of time-lapse seismic attribution and the geologic condition, the clustering analysis is done using the time-lapse seismic attribution with small correlative coefficient in the attribution relation graphics and the matrix distributing graphics, to determine the relationship between the time-lapse seismic attribution and the reservoir characteristic parameter. A practical clustering analysis class that is developed using object-oriented technology is introduced. It can complete the fundamental operation dynamic clustering analysis programming with little information. This paper also proposes the idea of adopting data parallelism when designing a parallel clustering algorithm. The clustering analysis technology and parallel clustering algorithm studied in this paper can also be used to design a network information propagation monitoring system combined with Chinese information processing and to achieve text cluster and theme discovery.","PeriodicalId":90521,"journal":{"name":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time-lapse seismic attributions clustering analysis\",\"authors\":\"Liu Qicheng, Zheng Wenjing, Tong Xiangrong, Song Yibin, Zhang Wei\",\"doi\":\"10.1109/ICSAI.2012.6223163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Time-lapse attribution clustering analysis technology is studied. By analyzing many kinds of time-lapse seismic attribution and the geologic condition, the clustering analysis is done using the time-lapse seismic attribution with small correlative coefficient in the attribution relation graphics and the matrix distributing graphics, to determine the relationship between the time-lapse seismic attribution and the reservoir characteristic parameter. A practical clustering analysis class that is developed using object-oriented technology is introduced. It can complete the fundamental operation dynamic clustering analysis programming with little information. This paper also proposes the idea of adopting data parallelism when designing a parallel clustering algorithm. The clustering analysis technology and parallel clustering algorithm studied in this paper can also be used to design a network information propagation monitoring system combined with Chinese information processing and to achieve text cluster and theme discovery.\",\"PeriodicalId\":90521,\"journal\":{\"name\":\"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSAI.2012.6223163\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAI.2012.6223163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Time-lapse attribution clustering analysis technology is studied. By analyzing many kinds of time-lapse seismic attribution and the geologic condition, the clustering analysis is done using the time-lapse seismic attribution with small correlative coefficient in the attribution relation graphics and the matrix distributing graphics, to determine the relationship between the time-lapse seismic attribution and the reservoir characteristic parameter. A practical clustering analysis class that is developed using object-oriented technology is introduced. It can complete the fundamental operation dynamic clustering analysis programming with little information. This paper also proposes the idea of adopting data parallelism when designing a parallel clustering algorithm. The clustering analysis technology and parallel clustering algorithm studied in this paper can also be used to design a network information propagation monitoring system combined with Chinese information processing and to achieve text cluster and theme discovery.