Semblance Estimate of Cross-Line Multiple Contributions

P024 Semblance Estimate of Cross-Line Multiple Contributions D. Donno* (Politecnico di Milano) E. Loinger (ENI - E&P Division) & F. Rocca (Politecnico di Milano) SUMMARY The basic theory of surface-multiple elimination (SRME) can be easily formulated for 3D seismic data. However the application of such technique to standard 3D marine acquisitions is likely to be affected by severe aliasing due to coarse crossline sampling. To address this problem we propose a Semblance-based method which allows focusing of apex-shifted hyperbolic events in the crossline Multiple Contribution Gathers (MCG): such method uses only the available input traces. A simple threshold applied to