{"title":"基于s变换Levenberg-Marquardt重分配算子的低频地震阴影检测","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":"{\"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}","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}
Seismic low-frequency shadow detection based on the Levenberg-Marquardt reassignment operators using S-transforms
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.