Abstract

We compare and contrast a variety of approaches for identifying high frequency (structural and velocity) anomalies in the overburden for the purpose of properly accounting for these anomalies in time or depth imaging velocity model building. The method is independent of domain of application but assumes that later time or deeper depth surfaces exhibit significantly lower structural frequencies than those characterized by the anomalies. We present results from the application of this new approach to a towed-streamer data-set.