Robust Surface-Consistent Deconvolution: Creating Inversion Ready Land Data
Bruce W. Hootman · Proceedings · 2011
We define the concept of “inversion ready seismic data” to mean that the embedded wavelet in the data is everywhere the same, has a known phase (preferably zero-phase) and is convolved with the reflectivity series of the earth. Effects of factors such as variable noise, multiples, near surface absorption and non-white reflectivity leave deconvolved land data far from the ideal. Surface consistent deconvolution is one important step in land data processing toward preparing the data for inversion and AVO. Over the years, various methods of surface-consistent deconvolution have been used in order to mitigate the effect of noise on the deconvolution operators. I limit the discussion in this paper to spiking deconvolution for operator generation, because the use of predictive or so-called gap deconvolution operators supply little or no possibility for increasing the phase stability of land data.