| Deconvolution of seismic data processing technology, has an important position inseismic data processing. Its effect related to the assumptions of deconvolution, under normalcircumstances, we adopt the minimum seismic wavelet. But after the filter of earth the sourcewavelet into a waveform with a time delay. It can not produce good results on themixed-phase seismic records, because the deconvolution coefficient get from the originalassumption. So the mixed-phase seismic data processing has become the focus of ourconcern.In this paper, we realized the method of multi-channel statistics Hilbert transform to getthe mixed-phase seismic wavelet. The traditional spiking deconvolution and waveletdeconvolution do the different theoretical treatment of the geological model, comparativeanalysis of their advantages and disadvantages. Using the popular of Yu wavelet in syntheticseismogram, based on Wiener filter, gives the method of Yu wavelet shaping deconvolution.And the minimum phase Yushi wavelet deconvolution and the zero phase of Yushi waveletpure amplitude deconvolution, through a variety of theoretical parameters of reasonablemodel, the application of the above two deconvolution methods in dealing with actual data,and achieved the good results of the two deconvolution actual data processing.The deconvolution will bring noise, making the vertical profiles although improved timeresolution, but it brings additional disadvantage of noise, while Yu wavelet used in this paperbecause of its narrow main lobe, side lobe small advantages, making it can reasonably startby adjusting the cutoff frequency of the output profile to improve resolution and signal tonoise ratio with its best performance in ensuring the resolution is improved at the same timedoes not reduce the signal to noise ratio profiles, through the above Yu wavelet thecombination of the Wiener filter to achieve the desired objectives, the theoretical model andthe real data has been fully validated. |
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