Correlation-picking deconvolution

Carlos A. Cunha Filho

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ABSTRACT

A scaled correlation between the residuals and the wavelet is used as the basis of a new deconvolution approach, which resolves first the strongest events and then, as the number of iteration increases, the weaker events of the reflectivity sequence. An important property of this method is that the retrieved series has the same frequency content as the original sequence. The results obtained with the application of this algorithm to real data are equivalent to a sharper version of the results of predictive deconvolution.