希尔伯特-黄变换在地震资料处理中的应用

Application of the Hilbert-Huang Transform to Seismic Data Processing

希尔伯特-黄变换是最新发展起来的处理非线性非平稳信号的时频分析方法。本文介绍了该方法的基本原理和几个关键技术,以及其优势所在,并将它应用于含随机噪音的地震信号和实际地震资料的分解。分解后的信号能够重构原始信号,重构后在信噪比和分辨率方面有了一定的提高,对地震资料的去噪有重要意义。

Hilbert-Huang transformation is a newly developed time-frequency analysis method for dealing with the non-linear,non-stationary signals.In this paper,the basic principles and several key technologies of the Hilbert-Huang transform,as well as its strengths are briefly introduced.It s application to the decomposition of seismic signal with random noise included and actual seismic data are discussed also.The original signal can be really reconstructed with this method,and reconstructed signal improves signal-to-noise ratio and resolution of the attributes, so It is a meaningful method for denoising the seismic data.