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随着勘探难度的增加,小波变换时频分辨率的精度已经难以达到实际勘探目标的要求,这就需要探索分辨率更高的时频分析方法。同步挤压小波变换(Synchrosqueezing Wavelet Transform-SWT)通过对小波变换的复系数谱在频率方向上进行压缩重组,得到比小波变换更高的时频分辨率,同时还具有可逆性和一定的抗噪性。通过模拟信号的测试结果表明,同步挤压小波变换在刻画信号的时频特征方面精度更高、准确性更好;而在实际地震资料的分析当中,利用同步挤压小波变换对舍气薄储层的地震数据进行分频处理,其低频处出现明显异常,而且频率越低异常越明显,有效地预测出储层的存在。
With the increase of exploration difficulty, the accuracy of wavelet transform time-frequency resolution has been difficult to meet the requirements of the actual exploration objectives, which requires exploration of higher resolution time-frequency analysis. Synchrosqueezing Wavelet Transform (SWT) can obtain higher time-frequency resolution than wavelet transform by compressing and recombining the complex coefficient spectrum of wavelet transform in the frequency direction, and has reversibility and certain anti-noise Sex. The simulation results show that the synchronous squeeze wavelet transform is more accurate and accurate in characterizing the time-frequency characteristics of the signal. In the analysis of actual seismic data, the synchronous squeeze wavelet transform Layer seismic data frequency processing, the obvious abnormalities occur at low frequencies, and the lower the frequency the more obvious anomaly, effectively predict the existence of the reservoir.