Application of Robust Surface-Consistent Deconvolution

The analysis of seismic data requires in many cases (AVO studies for example) the preservation of true amplitudes. This precludes the use of any processing step that modifies seismic amplitudes in an irreproducible way. Amongst such processes the trace by trace deconvolution is notable and this is one reason why the surface consistent deconvolution has become the preferred method. Other reasons for its popularity are the more stable and thus superior operators that are derived from spectra that have passed the strong but realistic filter of the surface consistent decomposition. In practice non surface consistent noise like ground roll or sporadic noise bursts that is prevalent in most land data can impair the surface consistent deconvolution to the point of uselessness. Because of these problems the surface consistent deconvolution could be used with land data only in connection with elaborate trace editing or in a processing sequence that is not altogether true amplitude. The modified surface consistent deconvolution (Robust Deconvolution) apply a method of deconvolution that attacks mentioned problems: Robust Solver that gives unbiased results even in the presence of strong inconsistent noise and Robust Application that enables the computation of additional temporally limited operators that abate the noise.