{"title":"Seismic low-frequency shadow detection based on the Levenberg-Marquardt reassignment operators using S-transforms","authors":"R. Anvari, Adil Hussein Mohammed, S. Rashidi","doi":"10.24086/cocos2022/paper.632","DOIUrl":null,"url":null,"abstract":"Based on the phenomenon of low-frequency shadow beneath the oil and gas reservoirs, there is much theoretical research and practical production data. Therefore, accurate detection of the low-frequency shadow in order to predict reservoir. The high-precision detection time-frequency transform in this paper is achieved by adding Levenberg-Marquardt reassignment operators using S-transforms to adjust the window width adaptively according to the characteristics of different signal components. Finally, it optimizes the time-frequency distribution. Simulation results show that this method has a better time-frequency concentration than conventional methods. Finally, an application of this method in detecting low-frequency shadow verifies the effectiveness and feasibility, which provides a high-precision tool and means for reservoir prediction.","PeriodicalId":137930,"journal":{"name":"4th International Conference on Communication Engineering and Computer Science (CIC-COCOS’2022)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"4th International Conference on Communication Engineering and Computer Science (CIC-COCOS’2022)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24086/cocos2022/paper.632","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
Based on the phenomenon of low-frequency shadow beneath the oil and gas reservoirs, there is much theoretical research and practical production data. Therefore, accurate detection of the low-frequency shadow in order to predict reservoir. The high-precision detection time-frequency transform in this paper is achieved by adding Levenberg-Marquardt reassignment operators using S-transforms to adjust the window width adaptively according to the characteristics of different signal components. Finally, it optimizes the time-frequency distribution. Simulation results show that this method has a better time-frequency concentration than conventional methods. Finally, an application of this method in detecting low-frequency shadow verifies the effectiveness and feasibility, which provides a high-precision tool and means for reservoir prediction.