{"title":"LMR – A Robust Reservoir Properties Indicator in Carbonate Reservoirs","authors":"M. Urosevic, S. A. Besheli, S. Hendi, J. Vali","doi":"10.3997/2214-4609-pdb.3.p161","DOIUrl":null,"url":null,"abstract":"P161 LMR- A ROBUST RESERVOIR PROPERTIES INDICATOR IN CARBONATE RESERVOIRS Abstract 1 The role of LMR (Lambda Mu Rho) method as a tool for characterization of carbonate reservoirs has not been established. In this study we analyze a carbonate reservoir in the south-west of IRAN to examine the feasibility of LMR for reservoir property estimation and lithological characterization. Of particular interest was to apply this methodology in an area where reservoir is of a low reflectivity and acoustic impedance alone fails to separate high from low porosity zones. Lambda-Rho (λρ) and Mu- Rho (µρ) attributes were computed from both rock","PeriodicalId":110744,"journal":{"name":"66th EAGE Conference & Exhibition","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"66th EAGE Conference & Exhibition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609-pdb.3.p161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
P161 LMR- A ROBUST RESERVOIR PROPERTIES INDICATOR IN CARBONATE RESERVOIRS Abstract 1 The role of LMR (Lambda Mu Rho) method as a tool for characterization of carbonate reservoirs has not been established. In this study we analyze a carbonate reservoir in the south-west of IRAN to examine the feasibility of LMR for reservoir property estimation and lithological characterization. Of particular interest was to apply this methodology in an area where reservoir is of a low reflectivity and acoustic impedance alone fails to separate high from low porosity zones. Lambda-Rho (λρ) and Mu- Rho (µρ) attributes were computed from both rock
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