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We have presented a new technique for processing
wide-azimuth surveys that accurately images 3-D seismic data while preserving
relative amplitudes describing the offset and azimuth-dependent reflectivity
function.
The technique is based on organization of the data into common-azimuth
(CA) and common-offset (CO), which
allows interpolation to a regular grid before imaging.
The method addresses both issues of algorithmic accuracy and proper handling
of irregular geometry and therefore allows for reliable
AVO analysis on migrated data.
We applied this technique to invert for a
synthetic reflectivity model
which simulates a
real 3-D wide-azimuth land survey over a fractured reservoir.
Results showed that Kirchoff migration was unable to preserve amplitudes
in case of sparse and irregular coverage.
The AMO transformation before migration
succeeded in reconstructing the data as regular gridded cubes while preserving
its amplitude information for imaging.
We conclude that (a) interpolating seismic data prior to migration is
a promising method for preserving amplitude information;
(b) AMO is an effective tool for organizing the data for common-azimuth
processing while correcting for the sparse and irregular coverage in
wide azimuth 3-D acquisition.
Next: ACKNOWLEDGMENTS
Up: Chemingui & Biondi: Handling
Previous: SYNTHETIC EXPERIMENT
Stanford Exploration Project
11/12/1997