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![]() | Reconciling processing and inversion: Multiple attenuation prior to wave-equation inversion | ![]() |
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As is widely known, inversion problems are very sensitive to noise. In seismic, several authors have shown that coherent noise degrades the performance of the velocity inversion and yields erroneous results (Li and Symes, 2007; Chauris and Noble, 2001; Shin and Min, 2006). Therefore it is usually necessary to include some kind of a priori information about the model as an additional regularization equation in the inversion or to perform noise suppression prior to inversion.
Noise also affects least-squares inversion of migrated images into reflectivity. In offshore data, multiples are the main coherent noise. Valenciano (2008) addresses the problem of migrated multiple reflections in inversion by applying a pre-processing step to attenuate them. Here, using the Sigsbee2b dataset (Paffenholz et al., 2002), we characterize the multiples in the subsurface-offset domain, detail the pre-processing step and show the impact it has on inversion.
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![]() | Reconciling processing and inversion: Multiple attenuation prior to wave-equation inversion | ![]() |
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