Short Note
Shot interpolation for radon multiple suppression

Sean Crawley

sean@sep.stanford.edu

ABSTRACT

Decreased CMP fold, such as that found in multi-source, multi-streamer acquisition geometries, can hinder processing steps which benefit from well sampled CMP gathers, such as radon transforms. In two steps of linear least squares, multiscale prediction-error filters (PEF)s can estimate local dips from the recorded data and then use the dip information to fill in unrecorded shot or receiver gathers. In this paper I use multiscale, volumetric PEFs to interpolate sparse, multiple-contaminated data. The increase in fold improves multiple-suppression results.