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A application of mixed-phase deconvolution in the processing of seismic data |
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Abstract: Mixed-phase deconvolution is proposed to process the seismic data,, with a new flowchart of the mix-phase deconvolution, based on the fact that the seismic wavelet is a mix-phase wavelet. Firstly, the amplitude spectrum of the seismic .wavelet is fitted by least squares method according to the relationship between the autocorrelation of the seismic records and the autocorrelation of the seismic wavelet, and then the autocorrelation of the seismic wavelet is computed anew. Secondly, a minimum phase filter is designed by using computed autocorrelation of the seismic wavelet, a delay is added to the dominant diagonal of the autocorrelation function, a minimum phase filter is decomposed into a short filter and is convoluted with a longer filter, resulting in a series of mixed phase wavelets and a mixed phase filter. Finally, the resulted mixed phase filter is convoluted with raw seismic traces, and an optimal mixed phase filter and an associated mixed phase wavelet are selected. The model test and the real data processing show that the mixed phase deconvolution is better than the minimum phase deconvolution.
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Received: 24 July 2009
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