{"title":"利用距离核方法对硅质碎屑岩储层的空间不确定性量化","authors":"Mihály Apró","doi":"10.1556/24.61.2018.06","DOIUrl":null,"url":null,"abstract":"Assessing the uncertainty in reservoir performance is a necessary step during the exploration phase. To examine the uncertainty in flow response, a large set of realizations must be processed. Ther...","PeriodicalId":39930,"journal":{"name":"Central European Geology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1556/24.61.2018.06","citationCount":"2","resultStr":"{\"title\":\"Spatial uncertainty quantification of siliciclastic reservoirs, using the distance kernel method\",\"authors\":\"Mihály Apró\",\"doi\":\"10.1556/24.61.2018.06\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Assessing the uncertainty in reservoir performance is a necessary step during the exploration phase. To examine the uncertainty in flow response, a large set of realizations must be processed. Ther...\",\"PeriodicalId\":39930,\"journal\":{\"name\":\"Central European Geology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1556/24.61.2018.06\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Central European Geology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1556/24.61.2018.06\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Central European Geology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1556/24.61.2018.06","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatial uncertainty quantification of siliciclastic reservoirs, using the distance kernel method
Assessing the uncertainty in reservoir performance is a necessary step during the exploration phase. To examine the uncertainty in flow response, a large set of realizations must be processed. Ther...