A. Pascarella, P. Vegt, C. Leo, M. Zhang, P. Doulgeris, P. Haffinger
{"title":"Integration Borehole Image and WEB AVO inversion for fracture prediction in deep reservoirs","authors":"A. Pascarella, P. Vegt, C. Leo, M. Zhang, P. Doulgeris, P. Haffinger","doi":"10.3997/2214-4609.201903317","DOIUrl":null,"url":null,"abstract":"Summary Deep and tight reservoirs are an important target for both Oil and Gas and Geothermal Industries. Fractures have a key role for producing from such reservoirs and therefore fracture identification is essential.In this talk we analyse the potential correlation between BHI fracture characterization results and elastic properties as output by wave-equation based AVO (WEB-AVO) inversion. WEB-AVO inversion is unique in the sense that it directly inverts for compressibility and shear compliance (inverses of bulk and shear moduli). While those parameters are already successfully used for exploration and production of hydrocarbons as well as for underground storage of CO2, here we will test their usefulness in the context of geothermal exploration.","PeriodicalId":427666,"journal":{"name":"Third EAGE Borehole Geology Workshop","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third EAGE Borehole Geology Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.201903317","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 Deep and tight reservoirs are an important target for both Oil and Gas and Geothermal Industries. Fractures have a key role for producing from such reservoirs and therefore fracture identification is essential.In this talk we analyse the potential correlation between BHI fracture characterization results and elastic properties as output by wave-equation based AVO (WEB-AVO) inversion. WEB-AVO inversion is unique in the sense that it directly inverts for compressibility and shear compliance (inverses of bulk and shear moduli). While those parameters are already successfully used for exploration and production of hydrocarbons as well as for underground storage of CO2, here we will test their usefulness in the context of geothermal exploration.