The second step in the solution involves imaging the equalized data. As mentioned earlier, after the equalization stage, one can use any imaging operator to invert for the model. We use the AMO operator to invert for a non-zero offset model from the multi-offset input data. From a processing point of view, this is equivalent to the partial stacking of the equalized data after transformation to a common offset of 850 meters.
Previously, Chemingui and Biondi 1994 investigated the application of 2D AMO for coherent partial stacking. They demonstrated on the Marmoussi dataset that stacking after AMO transformation to a common offset eliminates the dip filtering action of NMO stacking by preserving the dipping events and diffractions.
In the context of true-amplitude imaging, we will examine the effects of fold variations on partial stacking by offset continuation and discuss the improvements provided by our solution.