Shallow water surface related multiple attenuation using multi-sailline 3D deconvolution imaging

Surface related demultiple continues to be a major challenge in shallow water environments. While multiples generated by the water bottom reflection can often be adequately attenuated with targeted demultiple approaches, multiple reflections from other shallow events can be more challenging to remove. Deconvolution can help to mitigate this problem, but applications are generally limited to 2D or work on one sailline at a time. We describe a 3D multi-sailline deconvolution-like approach that uses surface datum deghosted data to derive a multiple prediction operator in the image domain using one-way wavefield extrapolation operators. Synthetic and real data results show how the method may predict multiples from shallow multiple generators and may outperform targeted demultiple approaches.