1887

Abstract

Summary

Deghosting and multiple suppression are crucial tasks in marine data processing. SRME has been proven effective in surface-related multiple suppression through large volume dataset processing, whereas a deghosting process should be applied beforehand. The absence of ghosts makes multiples predicted by SRME less accurate. Besides ghosts, multiple contribution gather is another important aspect that directly affects the accuracy of multiple prediction. In the local plane wave domain, we propose a method called USMG for unified suppression of surface-related multiples and ghosts. USMG takes into account ghosts and multiple contribution gather as two factors that affect the multiple prediction. Firstly, the ghosting operator is incorporated as part of the multiple prediction operator, instead of discarding the ghosts in multiple prediction. USMG simultaneously predicts the surface-related multiples and ghosts. And the multiples are more accurately predicted due to the introduction of the ghosting operator. Secondly, USMG automatically optimizes the multiple contribution gather through the exploitation of Snell’s law, and thus the precision of multiple and ghost prediction is further improved. Meanwhile, ghosts are suppressed, and the frequency bandwidth of the resulting wavefields is broadened. Tests on both synthetic and field dataset prove the effectiveness and feasibility of this method.

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/content/papers/10.3997/2214-4609.201600687
2016-05-30
2024-03-28
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References

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