Next is the result of using NMO in the regressors. Next, the result of downward continuation in the regressors. On the right, velocity scans were also used.
Rectangles outline certain or likely multiple reflections.
My final effort, shown on the right, includes the idea that the data contains random noise which could be windowed away in velocity space. To understand how this was done, recall that the basic model is , where is the left panel, are constants determined by least squares, and are the regressors, which are panels like but delayed and diffracted. Let denote an operator that transforms to velocity space. This procedure offers the possible advantage that a weighting function can be used in the velocity space. Applying all these ideas, we see that a reflector remains which looks more like a multiple than a primary.