{"title":"A Multisynchrosqueezing-Based S-Transform for Time-Frequency Analysis of Seismic Data","authors":"Wei Liu, Zhixing Zhai, Zhou Fang","doi":"10.1007/s00024-024-03566-1","DOIUrl":null,"url":null,"abstract":"<p>Time-frequency analysis (TFA) technique has a powerful capacity to characterize non-stationary signals. In this paper, a highly energy concentrated TFA method, called multisynchrosqueezing-based S-transform (MSSBST), is proposed for the analysis of seismic data. Herein, we combine S-transform (ST) and multisynchrosqueezing framework by making full use of an iterative reassignment procedure to concentrate time-frequency energy in a stepwise manner. Furthermore, we derive a series of formulas about MSSBST and its inverse transform, which means that the MSSBST allows for signal reconstruction from its time-frequency representation (TFR). The numerical analysis shows that the proposed method not only can effectively enhance the time-frequency energy concentration but also can offer better performance in characterizing non-stationary signals compared with the short-time Fourier transform (STFT), ST and synchrosqueezing S-transform (SSST). Field examples further demonstrate its potential in depicting spectral anomalies related to hydrocarbon reservoir, thus, facilitating seismic interpretation.</p>","PeriodicalId":21078,"journal":{"name":"pure and applied geophysics","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"pure and applied geophysics","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s00024-024-03566-1","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
Time-frequency analysis (TFA) technique has a powerful capacity to characterize non-stationary signals. In this paper, a highly energy concentrated TFA method, called multisynchrosqueezing-based S-transform (MSSBST), is proposed for the analysis of seismic data. Herein, we combine S-transform (ST) and multisynchrosqueezing framework by making full use of an iterative reassignment procedure to concentrate time-frequency energy in a stepwise manner. Furthermore, we derive a series of formulas about MSSBST and its inverse transform, which means that the MSSBST allows for signal reconstruction from its time-frequency representation (TFR). The numerical analysis shows that the proposed method not only can effectively enhance the time-frequency energy concentration but also can offer better performance in characterizing non-stationary signals compared with the short-time Fourier transform (STFT), ST and synchrosqueezing S-transform (SSST). Field examples further demonstrate its potential in depicting spectral anomalies related to hydrocarbon reservoir, thus, facilitating seismic interpretation.
时频分析(TFA)技术具有描述非稳态信号特征的强大能力。本文提出了一种能量高度集中的时频分析方法,即基于多同步阙值的 S 变换(MSSBST),用于分析地震数据。在本文中,我们结合了 S 变换(ST)和多同步挤压框架,充分利用迭代重分配程序,逐步集中时频能量。此外,我们还推导出一系列有关 MSSBST 及其逆变换的公式,这意味着 MSSBST 可以从其时频表示(TFR)中重建信号。数值分析表明,与短时傅里叶变换(STFT)、同步傅里叶变换(ST)和同步 S 变换(SSST)相比,所提出的方法不仅能有效提高时频能量集中度,而且在表征非稳态信号方面具有更好的性能。现场实例进一步证明了它在描述与油气储层相关的频谱异常方面的潜力,从而为地震解释提供了便利。
期刊介绍:
pure and applied geophysics (pageoph), a continuation of the journal "Geofisica pura e applicata", publishes original scientific contributions in the fields of solid Earth, atmospheric and oceanic sciences. Regular and special issues feature thought-provoking reports on active areas of current research and state-of-the-art surveys.
Long running journal, founded in 1939 as Geofisica pura e applicata
Publishes peer-reviewed original scientific contributions and state-of-the-art surveys in solid earth and atmospheric sciences
Features thought-provoking reports on active areas of current research and is a major source for publications on tsunami research
Coverage extends to research topics in oceanic sciences
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