{"title":"Raising the Bar: Electrofacies as a Framework for Improving the Practice of Geomodeling","authors":"D. Garner","doi":"10.3997/2214-4609.201902214","DOIUrl":null,"url":null,"abstract":"Summary A key impact on reservoir studies is a rigorous strategy around facies for modeling. The industry practices across small to large companies are highly variable regarding generating facies logs. Geomodeling workflows and geostatistical algorithms treat the facies log variable as hard conditioning information. Facies logs in practice have errors and carry petrophysical inconsistencies, real quality issues, which are not head-on addressed by the time they are used in a geomodeling workflow. Establishing electrofacies modeling best practices in the petroleum industry can help improve the preparation of facies logs for modeling and improve the fidelity of many geomodeling processes. This material presents basic theory, practical considerations, and example results from up to four different fields, depending on poster size. Further discussion is intended to further illustrate benefits of the use of electrofacies and help mature the understanding of the workflows which are not widely used.","PeriodicalId":186806,"journal":{"name":"Petroleum Geostatistics 2019","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Petroleum Geostatistics 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.201902214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Summary A key impact on reservoir studies is a rigorous strategy around facies for modeling. The industry practices across small to large companies are highly variable regarding generating facies logs. Geomodeling workflows and geostatistical algorithms treat the facies log variable as hard conditioning information. Facies logs in practice have errors and carry petrophysical inconsistencies, real quality issues, which are not head-on addressed by the time they are used in a geomodeling workflow. Establishing electrofacies modeling best practices in the petroleum industry can help improve the preparation of facies logs for modeling and improve the fidelity of many geomodeling processes. This material presents basic theory, practical considerations, and example results from up to four different fields, depending on poster size. Further discussion is intended to further illustrate benefits of the use of electrofacies and help mature the understanding of the workflows which are not widely used.