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Warping prestack imaged data to improve stack quality and resolution |
| ID |
39 |
| Title |
Warping prestack imaged data to improve stack quality and resolution |
| Authors |
Gabriel Perez and Kurt J. Marfurt |
| Authors detail |
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| Publication |
GEOPHYSICS |
| Publication Detail |
VOL. 73, NO. 2 MARCH-APRIL 2008; P. P1–P7, 9 FIGS |
| Volume |
MARCH-APRIL 2008 |
| Year |
2008 |
| Abstract |
Accurate seismic imaging requires that a geologic feature
be located at the same lateral and vertical position in images
obtained by 3D prestack migration from different data bins,
such as common-offset or common-angle subvolumes. Misalignment
of those images degrades the quality of the stack.
For dipping reflectors and lateral discontinuities, imperfect
imaging causes both lateral and vertical misalignment. In
current practice, the vertical component of the misalignment
is used to estimate updates in velocity and other imaging parameters;
the lateral component is largely ignored.We show
that recent developments in seismic-attribute analysis allow
us to examine the lateral misalignment of prestack volumes
with similar resolution to that achieved in examining vertical
moveout. To measure lateral moveout, we pick maxima from
local 2D crosscorrelations computed between slices from 3D
attribute volumes.We then use these measurements to correct
for the lateral misalignment by applying awarping procedure
to the corresponding slices in the prestack migrated seismic
data. We apply our technique to a 3D land survey acquired
over the FortWorth basin in Texas, and obtain subtle, but potentially
important, improvements in the quality and resolution
of the stack as well as in the attribute images computed
from the corrected data. |
| Keywords |
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| Status |
Accepted |
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