  In recent years, a variety of Marchenko methods for the attenuation of
internal multiples has been developed. These methods have been extensively
tested on 2D synthetic data and applied to 2D field data, but only little is
known about their behaviour on 3D synthetic data and 3D field data.
Particularly, it is not known whether Marchenko methods are sufficiently robust
for sparse acquisition geometries that are found in practice. Therefore, we
start by performing a series of synthetic tests to identify the key acquisition
parameters and limitations that affect the result of 3D Marchenko internal
multiple prediction and subtraction using an adaptive double-focusing method.
Based on these tests, we define an interpolation strategy and use it for the
field data application.
