摘要：Time-frequency decomposition technology is an effective tool for analyzing non-stationary signals. Improving resolution of spectral decomposition techniques is important to extract more useful information from the received signal. The Wigner-Ville distribution (WVD) has been widely applied in seismic signal analysis, it can better analyze seismic signals due to many excellent mathematical properties, but this method has a drawback that cross terms interference exists in the analyzing of multicomponent signals, which severely limits its application. The combination of the complex-domain matching pursuit (CDMP) with this approach effectively solves this problem. However, the conventional CDMP-WVD does not take the influence of the scale parameter on the Morlet wavelet waveform into account, which reduces the time-frequency resolution of CDMP-WVD. Therefore, to correct the defect that the atomic waveforms change only with the frequency parameter, we propose an improved spectral decomposition method ICDMP-WVD that considers the scale parameter. In this study, we first analyze influences of the scale parameter on Morlet wavelet waveform and make the scale parameter a search parameter that improves the computational efficiency and time-frequency resolution of the traditional CDMP-WVD method. Accordingly, the seismic dispersion-dependent attributes are calculated via combing the improved CDMP-WVD algorithm and the frequency-dependent AVO inversion. We adopt a two-step frequency-dependent AVO inversion method to improve the stability of the conventional frequency-dependent AVO inversion. Theoretical data and real data application show that the approach in this study can identify gas reservoirs efficiently and accurately.

关键字：time-frequency analysis technique; improved CDMP-WVD; Gray's formula; frequency-dependent AVO inversion; dispersion-dependent attribute

ISSN号：1742-2132

卷、期、页：卷21期2: 534-547

发表日期：2024-02-21

影响因子：0.000000

期刊分区（SCI为中科院分区）：三区

收录情况：SCI（科学引文索引印刷版）,SCIE（科学引文索引网络版）

发表期刊名称：JOURNAL OF GEOPHYSICS AND ENGINEERING

通讯作者：苗发维

第一作者：贺艳晓,王尚旭,黄捍东

论文类型：期刊论文

论文概要：苗发维,贺艳晓,王尚旭,黄捍东，A novel fluid identification method based on a high-precision spectral decomposition method，JOURNAL OF GEOPHYSICS AND ENGINEERING，2024，卷21期2: 534-547

论文题目：A novel fluid identification method based on a high-precision spectral decomposition method