俞氏子波整形反褶积在提高地震资料分辨率中的研究与应用

Research and application of Yu wavelet shaping deconvolution to improve the resolution of seismic data

在浅层地震勘探中,由于地震资料受表层干扰波影响大,资料纵向分辨率低,信噪比差,层位识别困难。子波整形反褶积技术将子波提取和不同子波通过维纳滤波器结合起来,改变期望输出得到不同要求的整形反褶积因子,本文将余氏子波主峰窄、旁瓣小、分辨率高的优点结合到子波整形反褶积中,获取了一种余氏子波整形反褶积因子,它既能压缩子波提高纵向分辨率,又能通过调节期望输出的余氏子波峰值改善剖面输出的效果,并应用理论模型验证了该方法的有效性,最后在实际资料处理中得到不同分辨率的地震剖面。

In the shallow seismic exploration, due to the seismic data influenced by the surface interference wave greatly, the vertical resolution is always low, the signal-to-noise ratio is poor and the strata identification is difficult. Wavelet shaping deconvolution technique will extract wavelet and combine different wavelet by Wiener filter, and get the shaping deconvolution factor under different requirements of expected output. This article will combines the advantages of narrow wavelet peak, small sidelobe and high resolution to the sub-wave shaping deconvolution to obtain the Yn wavelet shaping deconvolution factor which could improve the vertical resolution and the section of the wavelet by adjusting the expected output peak value of Yu wavelet. It is proved effective in the theory models. The seismic sections of different resolution are obtained in the practical data processing.