{"title":"构造中测井数据的聚类","authors":"I. S. Permyakova, O. V. Tiukavina","doi":"10.3997/2214-4609.201802415","DOIUrl":null,"url":null,"abstract":"The paper presents a method of optimal declustering of well data for fields with a relatively high degree of drilling, on the example of the investigated plicative reservoir. Using of the whole set of available information collected on the irregular cluster grid, in some cases, gives a displaced estimate for the structural constructions controlled by seismic data. Geostatistical modeling of deposits using a declustered list of wells allows to reduce this effect.","PeriodicalId":288128,"journal":{"name":"20th conference on oil and gas geological exploration and development","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Declustering Well Log Data in the Structural Constructions\",\"authors\":\"I. S. Permyakova, O. V. Tiukavina\",\"doi\":\"10.3997/2214-4609.201802415\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a method of optimal declustering of well data for fields with a relatively high degree of drilling, on the example of the investigated plicative reservoir. Using of the whole set of available information collected on the irregular cluster grid, in some cases, gives a displaced estimate for the structural constructions controlled by seismic data. Geostatistical modeling of deposits using a declustered list of wells allows to reduce this effect.\",\"PeriodicalId\":288128,\"journal\":{\"name\":\"20th conference on oil and gas geological exploration and development\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"20th conference on oil and gas geological exploration and development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3997/2214-4609.201802415\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"20th conference on oil and gas geological exploration and development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.201802415","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Declustering Well Log Data in the Structural Constructions
The paper presents a method of optimal declustering of well data for fields with a relatively high degree of drilling, on the example of the investigated plicative reservoir. Using of the whole set of available information collected on the irregular cluster grid, in some cases, gives a displaced estimate for the structural constructions controlled by seismic data. Geostatistical modeling of deposits using a declustered list of wells allows to reduce this effect.
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