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根据子波振幅谱估算最小相位子波已有多种方法,本文对用希尔伯特变换法、同态法、零相位子波法、松弛迭代法等估算的最小相位子波,进行了详细的分析。相比之下,以希尔伯特变换估算的效果最佳:在傅氏变换的点数为128时,其估算的最小相位子波与原始子波的相似系数为0.99762189,这种相似程度随着傅氏点数的增多而加大。文中从相位及子波时变两个方面详细地分析了估算的最小相位子波与实际子波之间的误差,并用“波形相似系数S”及“反褶积功能参数Q”作为衡量误差大小的依据。从反褶积的效果来看,当S不小于0.95和Q接近于1时,才能收到较好的效果。为了做到这点,必须对地震记录进行相位校正及大地滤波校正。
There are many methods to estimate the minimum phase wavelet based on the amplitude spectrum of the wavelet. In this paper, the minimum phase wavelet estimated by the Hilbert transform method, the homomorphism method, the zero-phase wavelet method, relaxation iteration method and so on are described in detail Analysis. In contrast, the Hilbert transform estimates the best results: the number of Fourier transform points 128, the estimated minimum phase wavelet and the original wavelet similarity coefficient of 0.99762189, this similarity with the Fourier points increase and increase. In this paper, the error between the estimated minimum phase wavelet and the actual wavelet is analyzed in detail from the aspects of phase and wavelet time-varying. The “waveform similarity coefficient S” and the “deconvolution function parameter Q” The basis. From the effect of deconvolution, when S is not less than 0.95 and Q is close to 1, to receive better results. In order to do this, the seismic records must be phase-corrected and earth-filtered corrected.