Data-driven internal multiple elimination applications using imperfectly sampled reflection data
J.A. Brackenhoff (TU Delft - Civil Engineering & Geosciences)
J.E. van IJsseldijk (TU Delft - Civil Engineering & Geosciences)
K. Wapenaar (TU Delft - Civil Engineering & Geosciences)
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Abstract
We consider reflection data that have been subsampled by 70% and use Point-Spread-Functions to reconstruct the original data. The subsampled, original and reconstructed reflection data are used to image the medium of interest with the Marchenko method. The image obtained using the subsampled data shows artifacts caused by internal multiples, which are eliminated when the original and reconstructed data are used.