Abstract：The time-frequency analysis method has been widely applied in the processing and interpretation of seismic signals for a long time. At present,the oil and gas exploration is exposed to problems such as the small trap size,thin reservoir thickness,and scattered distribution of rich resources. In addition,with the narrow frequency band and low resolution of effective signals in seismic data,high-resolution time-frequency analysis methods are especially required to improve the identification accu-racy of small-scale oil and gas targets. The bilinear time-frequency analysis method of smoothed pseudo Wigner-Ville distribution (SPWVD) has good time-frequency focusing,and the spiral sampling interpolation characteristic of Chrip-Z transform (CZT) can highlight the local details of 3D space. By capitalizing on the advantages of the two,we present a new method,i.e.,the SPWVD-CZT method,to improve the time-frequency resolution of seismic signals. The interpolation calculations of signals are achieved by sampling to raise the number of effective frequency division points,improve the local details of time-frequency distribution,and realize the refinement of spectrum information in the time-frequency domain. The application of si-mulated signal calculation and channel microfacies identification of actual seismic signals shows that the method can effectively improve the time-frequency resolution of seismic signals and develop a new theory for the discovery of small-scale geological bodies and oil-gas development.
李思源, 徐天吉. 基于Wigner-Ville分布与Chrip-Z变换的高分辨时频分析方法[J]. 石油地球物理勘探, 2022, 57(1): 168-175,211.
LI Siyuan, XU Tianji. A new high-resolution time-frequency analysis method based on Wigner-Ville distribution and Chrip-Z transform. Oil Geophysical Prospecting, 2022, 57(1): 168-175,211.
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