CDP noise attenuation using local linear models

Todor I. Todorov and Gary F. Margrave

ABSTRACT

Seismic noise attenuation plays an important part in a seismic processing flow. Spatial prediction filters, like FX deconvolution, has been successfully applied to seismic volumes. However, since they require uniform spatial sampling, they are not suitable for noise attenuation of CDP gathers. A new method for noise attenuation on CDP gathers, based on local linear models, is developed. The process is applied to synthetic and real data from Alberta oil sands and shows a robust performance while preserving the AVO amplitude variations.

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