The first example concerns a synthetic dataset obtained by acoustic finite-difference modeling over a salt body. Although, in this example, we use our technique to constrain the top of the salt, we would like to emphasize that we can use the same technique in any situation where diffractions are available. For example, in sub-salt regions where angular coverage is small, uncollapsed diffractions carry substantial information which is disregarded in typical MVA methodologies.
The second example is a real dataset of single-channel, Ground-Penetrating Radar (GPR) data. Many GPR datasets are single-channel and no method has thus far been developed to estimate a reasonable interval velocity models in the presence of lateral velocity variations. Typically, the velocity estimated by Dix inversion at sparse locations along the survey line is smoothly extrapolated, although this is not even close to optimal from an imaging point of view.