同步挤压小波变换提取地震信号瞬时属性
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西安理工大学自动化与信息工程学院,西安理工大学自动化与信息工程学院,西安理工大学自动化与信息工程学院

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TP301.6

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国家自然科学基金资助重大项目(41390454)


Extracting the Instantaneous Parameters of Seismic Signals with Synchrosqueezing Wavelet Transform
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College of Automation and Information Engineering,Xi''an University of Technology,,College of Automation and Information Engineering,Xi''an University of Technology

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    摘要:

    地震信号瞬时参数的准确提取对于研究地球介质的岩性构造、油气储藏等具有重要意义。针对用传统时频分析方法提取地震信号瞬时参数对噪声敏感、可靠性不强等问题,提出了利用同步挤压小波变换(SST)提取地震信号瞬时参数的方法。该方法是一种连续可逆的时频变换工具,首先结合时频谱重排的思想,得到同步挤压小波变换量值,然后计算出实信号对应的解析信号,接着求取瞬时参数,最后与传统的Hilbert变换方法进行比较,通过仿真信号试验和实际地震资料的应用表明,SST提取的地震瞬时参数抗噪性更强、可靠性强,尤其对于瞬时频率的提取。

    Abstract:

    The accurate extraction of instantaneous parameters of seismic signals is of great significance for the study of the lithology structure, oil and gas reservoirs, etc. For the method of extracting the instantaneous parameters by traditional transform, the method is sensitive to noise and the accuracy is not accurate enough. In this paper,Synchrosqueezing Wavelet Transform to extract the instantaneous parameters of seismic signal.This method is a continuous and reversible time-frequency transform tool, first of all, combined with the idea of time-frequency rearrangement, the value of the squeezed wavelet transform is obtained, and then the corresponding analysis of real signal Signal and finally obtain the instantaneous parameters.The simulation signal experiment and the application of the actual seismic data show that compared with the traditional Hilbert transform method, the instantaneous parameters extracted by this method are more robust to noise, with higher accuracy and less error, especially For instantaneous frequency extraction.

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张志禹,刘彦霞,李向月.同步挤压小波变换提取地震信号瞬时属性计算机测量与控制[J].,2018,26(10):260-263.

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  • 收稿日期:2018-04-04
  • 最后修改日期:2018-04-26
  • 录用日期:2018-04-26
  • 在线发布日期: 2018-10-16
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