D. Ryzhov, V. Ryzhov, V. Pikhalov, D. Galyautdinov, I. Sharapov, S. Feofilov
{"title":"低频全波反演方法在剖面上的薄倾斜层探测","authors":"D. Ryzhov, V. Ryzhov, V. Pikhalov, D. Galyautdinov, I. Sharapov, S. Feofilov","doi":"10.3997/2214-4609.201802417","DOIUrl":null,"url":null,"abstract":"The paper considers a method for detecting thin contrast layers in a section on the basis of analysis of the shape of the spectral characteristic of the seismic response of the seismomechanical model. The task of determining several thin layers in a section can be solved using the approaches of full-wave inversion. A technique for solving the inverse problem using elastic full-wave numerical simulation is described. The recovery results show the applicability of the chosen technique for detecting several contrasting expanded inclined layers in a section based on an analysis of the spectral response characteristic in the low-frequency range of 1-10 Hz.","PeriodicalId":288128,"journal":{"name":"20th conference on oil and gas geological exploration and development","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection of Thin Inclined Layers in the Section by Full Wave Inversion Approach in the Low-frequency Spectral Range\",\"authors\":\"D. Ryzhov, V. Ryzhov, V. Pikhalov, D. Galyautdinov, I. Sharapov, S. Feofilov\",\"doi\":\"10.3997/2214-4609.201802417\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper considers a method for detecting thin contrast layers in a section on the basis of analysis of the shape of the spectral characteristic of the seismic response of the seismomechanical model. The task of determining several thin layers in a section can be solved using the approaches of full-wave inversion. A technique for solving the inverse problem using elastic full-wave numerical simulation is described. The recovery results show the applicability of the chosen technique for detecting several contrasting expanded inclined layers in a section based on an analysis of the spectral response characteristic in the low-frequency range of 1-10 Hz.\",\"PeriodicalId\":288128,\"journal\":{\"name\":\"20th conference on oil and gas geological exploration and development\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"20th conference on oil and gas geological exploration and development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3997/2214-4609.201802417\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"20th conference on oil and gas geological exploration and development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.201802417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection of Thin Inclined Layers in the Section by Full Wave Inversion Approach in the Low-frequency Spectral Range
The paper considers a method for detecting thin contrast layers in a section on the basis of analysis of the shape of the spectral characteristic of the seismic response of the seismomechanical model. The task of determining several thin layers in a section can be solved using the approaches of full-wave inversion. A technique for solving the inverse problem using elastic full-wave numerical simulation is described. The recovery results show the applicability of the chosen technique for detecting several contrasting expanded inclined layers in a section based on an analysis of the spectral response characteristic in the low-frequency range of 1-10 Hz.