【摘要】 局域波分解可以得到有意义的频率并可以抑制时频分布交叉项,是1种新的自适应信号分解方法。在局域波分解基本原理的基础上,研究基于局域波分解的地震信号分频谱及频率属性的提取方法。将局域波分解与传统时频分析结合,进行有效数值实现与对比分析,通过模型地震数据与实际2D地震数据试算验证方法的正确性和有效性。研究表明:基于局域波分解的Wigner时频分布分频谱,具有较高的时频分辨率,交叉项得到简单有效的抑制;基于局域波分解的时频分析方法计算提取的频率属性,避免无意义的负频率,物理意义明确,为在地震储层研究和油气检测中的正确应用奠定基础。更多还原

【Abstract】 Local wave decomposition(LWD) is a new method for signal decomposition to obtain the meaningful frequency and suppress cross terms.On the bais of fundamentals of the local wave decomposition method,frequency decomposition spectrum and frequency extraction from seismic signals based on the local wave decomposing method are studied.Combining the local wave decomposition with the traditional time-frequency method,the numerical algorithms are implemented with usage comparison between the modelled signal and 2D real seismic data to show the valid tity.From the results,it can be concluded that the spectral decomposition method based on LWD possesses high time-frequency localization precision and good cross-term suppression;and the methods based on local wave decompostion for extracting frequency also achieve good application results with a clear physical meaning,providing a basis for seismic reservior research or oil/gas detection.更多还原