Large dip artifacts in 1.5D internal multiple prediction and their mitigation

Kristopher A. H. Innanen, Pan (Penny) Pan

In this short note we point out that large-dip artifacts noticeable in kg dependent integration limiting parameter . The results are largely consistent with those obtainable by post-prediction filtering, but the (kg) approach is preferable in that it is tied to our interpretation of the origins of the artifacts.