Colored Deconvolution Based on Signal Purity Spectrum

Signal to noise ratio (SNR) and resolution are two important but contradictory characteristics used to evaluate the quality of seismic data. For relatively preserving SNR while enhancing resolution, signal purity spectrum is introduced, estimated and used to define the desired output amplitude spectrum after deconvolution. Since real reflectivity series is blue rather than white, the effects of white reflectivity hypothesis on wavelet are experimentally analyzed, and the color compensation is applied after spectrum whitening. The experiment on real seismic data indicates that the cascade of the two processing stage can improve the ability of seismic data to delineate the geological details.