Alexander Klokov and Sergey Fomel
Bureau of Economic Geology,
Jackson School of Geosciences,
The University of Texas at Austin,
University Station, Box X,
Austin, TX 78713-8924,
USA
We present a method for selecting a migration aperture in Kirchhoff migration.
We first split migrated data into constant-dip-angle partial images. Then,
in every partial image, we estimate the consistency between each event and the constant dip of the analyzed
section. We filter out events whose slope is far from the corresponding dip. Stacking of the filtered
partial images corresponds to migration having an optimal aperture. Synthetic and real data examples
demonstrate that the proposed approach to migration-aperture optimization is able to reduce migration noise while
preserving diffraction energy, which characterizes small geological objects and brings additional resolution to the image.
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