It is now commonly acknowledged that spatial filters using geostatistics (factorial kriging) may prove useful when applied to seismic cubes in several operational contexts such as spatial quality check, noise reduction, 4D equalization and spectral decomposition. But even when based upon a reliable co-regionalization model defined along the main inline, crossline and time or depth axes, these spatial filters are opened to criticism as no structural dipping information is taken into account. A dip steered factorial kriging solution is presented which consists in introducing local dip and azimuth information into the kriging equations system, thus leading to more geologically consistent results.<br><br>A real data case study illustrates the contribution of the dip steered factorial kriging when applied to a post-stack amplitude cube for noise reduction purpose: The coherency of the geological seismic events is enhanced when compared to results obtained by factorial kriging disregarding structural dipping. <br>


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