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The proposed prestack exploding-reflectors modeling
preserves the velocity information in
the starting prestack image.
Taking advantage of the limited subsurface-offset range
of partially focused images,
several SODCIGs can be combined without degrading
the velocity information necessary for MVA.
My first tests of the method demonstrate that the number
of independent experiments required for MVA can be
substantially lower than the number of shot
profiles in the original data set.
They indicate that minimum number of independent experiments
depends on the degree of focusing of the migrated image.
The proposed method has the potential
of significantly reducing the computational cost
of MVA based on wavefield continuation migration and modeling,
and to enable the use of expensive wavefields methods when estimating
migration velocity.
The number of SODCIG that can be combined to
form an independent experiment depends
on the degree of correlation between the SODCIGs.
In this paper I presented a simple
schemes for combining SODCIGs that takes
advantage of their limited offset range
to achieve spatial decorrelation.
However, temporal decorrelation can be also induced by
modeling using spatially varying, and temporally decorrelated,
source functions.
This approach would follow the ideas used for phase encoding
and Montecarlo migration.
The additional degrees of freedom introduced by the
variations in source functions
are likely to enable
further reduction of the number of independent experiments
needed to preserve the velocity information
necessary to improve velocity by MVA.
Next: REFERENCES
Up: Biondi: Prestack exploding-reflectors modeling
Previous: Synthetic data examples
Stanford Exploration Project
4/5/2006