3D Symmetric Sampling on Land of Sparse Acquisition Geometries

For successful AVO analysis the quality and reliability of the prestack data has to be ensured by a combination of high-quality acquisition and powerful processing. Therefore, it is appropriate to consider some ingredients of data acquisition that are necessary to achieve reliable reflection amplitudes. Based on two earlier papers (Vermeer, 2010a; 2010b), this paper discusses various ways to improve prestack data quality. I start with a review of the symmetric sampling technique which is in my view the best way of selecting acquisition parameters, followed by a discussion of various aspects of parameter choice that influence final prestack land data quality.