


 Fast automatic waveequation migration velocity analysis using encoded simultaneous sources  

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Fast automatic waveequation migration velocity analysis using encoded simultaneous sources
Yaxun Tang
Abstract:
I present a method based on source encoding for fast waveequation migration velocity analysis (WEMVA).
Instead of migrating each impulsivesource gather separately, I assemble all gathers together and
migrate only one super shot gather. This procedure results in the computational cost of WEMVA to be independent from the
number of impulsivesource gathers, which is typically huge for large surveys.
The proposed encoding method can be applied to data acquired from any
acquisition geometry, such as land or marine acquisition geometries.
The velocity inversion is done automatically by solving a nonlinear optimization problem that maximizes the image stack power, which is
shown to be equivalent to the datadomain inversion using only primary reflections.
Preliminary results show that WEMVA with encoded sources can produce inversion results similar
to those produced by conventional separatesource WEMVA, but with drastically reduced computational cost.



 Fast automatic waveequation migration velocity analysis using encoded simultaneous sources  

Next: introduction
Up: Reproducible Documents
20110913