While in some cases HEMNO could accurately model the kinematics of these
multiples (see Figures and
), in cases where the salt geometry varied too
fast spatially, HEMNO's performance suffered. I conclude that for moderate,
spatially ``smooth'' dips, HEMNO works well. Failures point to migration
(especially prestack depth migration) techniques to tackle the salt problem.
In section I investigated what, if anything, the multiples
add to the LSJIMP inversion. The improved separation results obtained after
adding the multiples confirmed a central assertion about LSJIMP: the use of
multiple reflections in a global inversion add a useful constraint to
discriminate between signal and noise.
In section , I applied the LSJIMP nonlinear
updating scheme outlined in section
and found that
in particular, poorly-estimated reflection coefficients can be improved by the
updating scheme, which in turn leads to improved separation results. However,
I found that the result of updating the crosstalk weights was negligible to the
separation results.