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The update to the interval slowness contains rapid lateral variations.
These variations have a wavelength approximately the same as the cable
length (2 km). The slowness model had a node spacing of 1 km horizontally
and .25 km vertically.
While some of these variations may be actual features of the
true interval slowness model, it is more likely that they are artifacts.
Gaps in reflector point coverage and variations in quality of velocity
information are possible causes (Fowler, 1988).
The shape of the multiples in Figure 2 do indicate some
short wavelength features (less than a cable length), and eventually these
features can be estimated; but
for an initial update after a migration with v(z), it is best to
try for a laterally smooth update.
deltaw.smoothed
Figure 12 A smoothed version of the update to the model in the
previous figure. The smoothing was over 3 nodes laterally and
vertically. This removes the features that resonate with
the cable leaving only features with lateral wavelengths longer
than the cable.
For the example shown, the
inversion was unconstrained and no model covariance matrix was
used.
Smoothing the result show in Figure 11 gives the
slowness model update shown in Figure 12.
The low wavenumber change to the background model is more evident.
It would have been more correct get a smoother update by including a model
covariance matrix in the inversion. I will do this in the future.
It is encouraging that the algorithm recognized the
slowness decrease (velocity increase) we would expect over and
around the dome where deeper, faster rocks are thrust up. The
next step is to remigrate the data from scratch with the new velocity
model and see if the stack is better and if the structural image improves.
Next: CONCLUSIONS
Up: ESTIMATING A NEW SLOWNESS
Previous: Running the inversion algorithm
Stanford Exploration Project
1/13/1998