摘要:
在传统的地震资料分析、处理和属性分析提取等研究中,基于平稳信号分析处理理论的傅里叶变换是核心技术之一。地震信号往往是非线性、非平稳信号,传统傅里叶变换是一种整体变换,难于反映非平稳信号的局部特征,而时频分析技术能同时展示信号在时间域和频率域的局部化特征。在介绍几种地震常用的时频分析方法基础上,进一步深入研究自适应时频分析方法。理论分析和试验表明,自适应最优核时频分布在抑制交叉项的同时,时频聚集性也较好,因此,更有利于地震勘探信号的分析和地震属性的提取、频谱分解等。
Abstract:
In the traditional seismic study, such as seismic data analysis, processing and attribute analysis, the Fourier transform based on stationary signal processing theory is the core technology. The traditional Fourier transform is a kind of integral transform, and seismic signals are usually non-linear and non-stationary, so it is difficult to reflect the partial feature of the non-stationary signal. However, the time-frequency analysis technique has the capability to reflect the partial feature of signal in time domain and frequency domain. This paper, based on the introduction to several common seismic time-frequency analysis methods, is devoted to in-depth study of adaptive time-frequency analysis method. Theoretical analysis and testing show that:the adaptive optimum Kernel time-frequency representation can repress cross-terms and has better time-frequency resolution, so it is worthy to do more research on seismic attributes extraction and spectral decomposition.
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