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In the absence of multiples

The top panel of Figure [*] displays the result of migrating the multiple-free data with the background velocity shown in the left panel of Figure [*]. High-amplitude vertical streaks mark the presence of FEAVA. The FEAVA detector Vlad (2004) works by measuring the departure of AVA from the Shuey (1985) model. The output of the detector (bottom panel of Figure [*]) highlights the AVA much more clearly than the stack. Migrating with the adjoint of the modeling operator (split-step, three reference velocities) eliminates the FEAVA from the image (Figure [*]).

 
com_nomult_imag
com_nomult_imag
Figure 3
FEAVA is present after migrating the multiple-free data with the background velocity. Top: as higher-amplitude streaks in the stack (barely visible); Bottom: after applying the FEAVA detector.
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com_nomult_imaC
com_nomult_imaC
Figure 4
FEAVA disappears after migrating the multiple-free data with the correct velocity and the exact adjoint of the modeling operator. Top: Stack. Bottom: after applying the FEAVA detector. Compare with lower panel of Figure [*]
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next up previous print clean
Next: In the presence of Up: FEAVA in the image Previous: FEAVA in the image
Stanford Exploration Project
10/23/2004