Surface-related multiple prediction for ocean-bottom node data based on demigration using downgoing wave imaging data

Ocean-bottom node exploration has developed rapidly in marine seismic exploration. However, due to no illumination for the seafloor, and the observation system of the 'less traces but more shots' mode, the conventional surface-related multiples elimination meets challenges for the application in the ocean-bottom node exploration. This paper develops a new three-dimensional surface-related multiples elimination technique for ocean-bottom node data. First, a three-dimensional Kirchhoff pre-stack time mirror migration algorithm is proposed to realize the accurate imaging for the seabed. Second, the time domain Kirchhoff demigration method is used to construct the contribution traces for multiples prediction. Finally, the surface multiples can be predicted based on the equation derived in the paper. Model tests and field data processing prove that our method can accurately predict the surface-related multiples for ocean-bottom node data and be helpful to the multiple elimination, which shows that the proposed technique has potential in actual ocean-bottom node data processing.