{"title":"NUMERICAL MODELING OF SELF-POTENTIAL SIGNALS TAKING INTO ACCOUNT THE SHALINESS OF THE RESERVOIR","authors":"A. Glinskikh","doi":"10.25205/978-5-4437-1251-2-52-55","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new method for the numerical simulation of self-potential (SP) signals based on the finite element method. A detailed physical and mathematical model is introduced, reflecting the influence of the geometric and petrophysical parameters of the investigated area on the observed SP signals. The choice of an adequate parameterization of the reservoir made it possible to clearly demonstrate the dependence of the SP signals on the shale content of the reservoir and the type of shale minerals. The proposed approach to modeling SP signals allows obtaining new petrophysical characteristics and expanding the field of application of SP logging.","PeriodicalId":203470,"journal":{"name":"Trofimuk Readings - 2021: Proceedings of the All-Russian Youth Scientific Conference with the Participation of Foreign Scientists","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trofimuk Readings - 2021: Proceedings of the All-Russian Youth Scientific Conference with the Participation of Foreign Scientists","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25205/978-5-4437-1251-2-52-55","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
In this paper, we propose a new method for the numerical simulation of self-potential (SP) signals based on the finite element method. A detailed physical and mathematical model is introduced, reflecting the influence of the geometric and petrophysical parameters of the investigated area on the observed SP signals. The choice of an adequate parameterization of the reservoir made it possible to clearly demonstrate the dependence of the SP signals on the shale content of the reservoir and the type of shale minerals. The proposed approach to modeling SP signals allows obtaining new petrophysical characteristics and expanding the field of application of SP logging.