Deblending using a combined PNMO-MF-FK coherency filter

Abstract

Simultaneous shooting achieves a tremendously faster acquisition but pose a very challenging problem for subsequent processing because of the interference from the neighbor crews. Separation of different sources, also called deblending, becomes exceptionally important for the overall success of the new acquisition technology. In this paper, we propose a novel deblending approach following the shaping regularization framework. The shaping operator is chosen as a very effective filter, combining pseudo normal-moveout, median filtering, frequency wavenumber filtering (PNMO-MF-FK). We combine the median-filter based deblending approaches and the FK filter based deblending approach with the proposed framework. Instead of simply using the MF to remove blending noise, we apply a pseudo NMO (PNMO) to prepare a relatively flatter profile in advance, which can make the MF more effective. The proposed deblending approach with the PNMOMF-FK filter can obtain excellent performance within small number of iterations. Compared with the alternative MF-FK filter, or FK filter, the PNMO-MF-FK filter can obtain obviously better results. We use a simulated field data example to demonstrate the performance.