{"title":"估算瑞利波群速度谱的新方法","authors":"Jiazhe Li, Xianhai Song, Xueqiang Zhang, Shichuan Yuan, Limin Wang, Kai Zhang","doi":"10.1190/geo2023-0458.1","DOIUrl":null,"url":null,"abstract":"Shear-wave velocity is commonly used to understand the characteristics of the subsurface, which can be retrieved by inverting the phase or group velocity in Rayleigh wave surveys. Now, many studies have shown the advantage of analyzing group velocity over phase velocity to obtain the S-wave velocity. However, previous methods often suffer from poor resolution in estimating group velocity. In order to improve the resolution of the group velocity and reduce uncertainty in extracting dispersion curves, we propose a new method for estimation of the Rayleigh wave group velocity spectrum based on the slant stack and adaptive generalized S-transform with energy reassignment. This method incorporates the adaptive generalized S-transform and the energy reassignment technique to enhance the time-frequency representation, and then calculates the group velocity at each frequency using the slant stack. By conducting experiments with synthetic seismic records, it is evident that the new method has high resolution and accurate multimode group velocity calculations. Furthermore, when applied to a field dataset and synthetic record with noise, the method shows better results and noise robustness. This confirms the superior performance of the method at generating high-resolution dispersion images of the group velocity compared to previous approaches. The method will become an efficient tool in Rayleigh wave exploration.","PeriodicalId":509604,"journal":{"name":"GEOPHYSICS","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new method for estimation of Rayleigh wave group velocity spectrum\",\"authors\":\"Jiazhe Li, Xianhai Song, Xueqiang Zhang, Shichuan Yuan, Limin Wang, Kai Zhang\",\"doi\":\"10.1190/geo2023-0458.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Shear-wave velocity is commonly used to understand the characteristics of the subsurface, which can be retrieved by inverting the phase or group velocity in Rayleigh wave surveys. Now, many studies have shown the advantage of analyzing group velocity over phase velocity to obtain the S-wave velocity. However, previous methods often suffer from poor resolution in estimating group velocity. In order to improve the resolution of the group velocity and reduce uncertainty in extracting dispersion curves, we propose a new method for estimation of the Rayleigh wave group velocity spectrum based on the slant stack and adaptive generalized S-transform with energy reassignment. This method incorporates the adaptive generalized S-transform and the energy reassignment technique to enhance the time-frequency representation, and then calculates the group velocity at each frequency using the slant stack. By conducting experiments with synthetic seismic records, it is evident that the new method has high resolution and accurate multimode group velocity calculations. Furthermore, when applied to a field dataset and synthetic record with noise, the method shows better results and noise robustness. This confirms the superior performance of the method at generating high-resolution dispersion images of the group velocity compared to previous approaches. The method will become an efficient tool in Rayleigh wave exploration.\",\"PeriodicalId\":509604,\"journal\":{\"name\":\"GEOPHYSICS\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"GEOPHYSICS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1190/geo2023-0458.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"GEOPHYSICS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1190/geo2023-0458.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
剪切波速度通常用于了解地下的特征,可以通过反演瑞利波勘测中的相位或群速度来获取。目前,许多研究表明,分析群速度比相位速度更有利于获得 S 波速度。然而,以往的方法在估算群速度时往往存在分辨率低的问题。为了提高群速度的分辨率,减少提取频散曲线时的不确定性,我们提出了一种基于斜叠加和能量重分配的自适应广义 S 变换的估算瑞利波群速度谱的新方法。该方法结合了自适应广义 S 变换和能量重新分配技术,以增强时频表示,然后利用斜叠加计算每个频率的群速度。通过对合成地震记录进行实验,可以明显看出新方法具有高分辨率和精确的多模群速度计算。此外,当应用于野外数据集和带有噪声的合成记录时,该方法显示出更好的结果和噪声鲁棒性。这证明,与以前的方法相比,该方法在生成高分辨率群速度频散图像方面性能优越。该方法将成为瑞利波探测的有效工具。
A new method for estimation of Rayleigh wave group velocity spectrum
Shear-wave velocity is commonly used to understand the characteristics of the subsurface, which can be retrieved by inverting the phase or group velocity in Rayleigh wave surveys. Now, many studies have shown the advantage of analyzing group velocity over phase velocity to obtain the S-wave velocity. However, previous methods often suffer from poor resolution in estimating group velocity. In order to improve the resolution of the group velocity and reduce uncertainty in extracting dispersion curves, we propose a new method for estimation of the Rayleigh wave group velocity spectrum based on the slant stack and adaptive generalized S-transform with energy reassignment. This method incorporates the adaptive generalized S-transform and the energy reassignment technique to enhance the time-frequency representation, and then calculates the group velocity at each frequency using the slant stack. By conducting experiments with synthetic seismic records, it is evident that the new method has high resolution and accurate multimode group velocity calculations. Furthermore, when applied to a field dataset and synthetic record with noise, the method shows better results and noise robustness. This confirms the superior performance of the method at generating high-resolution dispersion images of the group velocity compared to previous approaches. The method will become an efficient tool in Rayleigh wave exploration.