Conclusions

In this paper, we show how multiples can be transformed into primaries (i.e., pseudo-primaries) by being cross-correlated with the original dataset (primaries+multiples). Pseudo-primaries can recover missing near-offset data as well as some far-offset events that are not recorded. The comparison between images from the primary dataset and from the pseudo-primary dataset on the Sigsbee2B model demonstrates that multiple migration can be used to image complex geological structures.