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Abstract

An important goal of seismic processing is to shape reflection events so that the final seismic section can be interpreted easily and unambiguously. The manipulation of seismic data to achieve this goal is generally called wavelet processing. Typically, some form of deconvolution is used to perform the desired shaping of the wavelets in a seismic dataset. Many different deconvolution algorithms have been developed for processing of seismic data. They all have one thing in common: their derivation are based on mathematical assumptions about the seismic trace. The most important assumptions are: the autocorrelation of the trace is a scaled version of the seismic wavelet and the seismic wavelet is minimum-phase, In these conditions we want to estimate the minimum-phase wavelet.

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/content/papers/10.3997/2214-4609.201411028
1991-05-28
2020-07-09
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201411028
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