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.