{"title":"Brittleness prediction and azimuthal AVO analysis in unconventional reservoir for multi stage hydraulic fracturing efficiency improving","authors":"B. Plotnikov, I. Karimov, R. Volkov, D. Ignatova","doi":"10.3997/2214-4609.202113158","DOIUrl":null,"url":null,"abstract":"Summary Unconventional reservoirs are unique geological objects without generally accepted and widely proofed effective approaches for core studying, well data interpretation and reservoir properties prediction. Horizontal wells with multi-stage hydraulic fracturing are widely used to provide the maximum possible stimulated rock volume (SRV) and increase initial and accumulated oil rates production. Natural fracture and brittleness provide the main contribution to the efficiency of multi-stage hydraulic fracturing. Prediction of these properties in the interwell space is a complex question that requires modern and advanced solution. To deals with this question authors used Bayesian classification and azimuthal AVO analysis. As a result brittleness and anysotropy properties of resrviour were predicted.","PeriodicalId":265130,"journal":{"name":"82nd EAGE Annual Conference & Exhibition","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"82nd EAGE Annual Conference & Exhibition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.202113158","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 Unconventional reservoirs are unique geological objects without generally accepted and widely proofed effective approaches for core studying, well data interpretation and reservoir properties prediction. Horizontal wells with multi-stage hydraulic fracturing are widely used to provide the maximum possible stimulated rock volume (SRV) and increase initial and accumulated oil rates production. Natural fracture and brittleness provide the main contribution to the efficiency of multi-stage hydraulic fracturing. Prediction of these properties in the interwell space is a complex question that requires modern and advanced solution. To deals with this question authors used Bayesian classification and azimuthal AVO analysis. As a result brittleness and anysotropy properties of resrviour were predicted.