1887

Abstract

Summary

Due to well-known limitations of data-driven SRME in shallow-water environments, multiple attenuation methods applied to date on seismic towed-streamer datasets acquired in shallow waters of the Colombian Caribbean shelf have been heavily dominated by gapped Tau-P deconvolution techniques. In this paper, a successful application of integrated multiple attenuation, including a model-driven shallow-water implementation of 3D SRME, is presented for an offshore Colombian Caribbean case with highly variable bathymetry. This model-driven, shallow-water 3D SRME is based on convolution between input data and Green’s Function propagator gathers representing forward-modelled water-bottom primary reflection data, thus avoiding the issues with conventional SRME in shallow-water areas.

On the shallow-water continental shelf, the multiple attenuation effectiveness of the presented integrated approach consistently outperforms that of gapped Tau-P deconvolution. In addition, we achieved a seamless merge with conventional deeper-water 3D SRME in a survey area with bathymetry ranging from shallow-water continental shelf to slope, rise down to deep-water abyssal plain. Thus, model-driven SRME methods have the potential of “bridging the shelf-break demultiple gap”, and of replacing Tau-P deconvolution as the workhorse in shallow-water demultiple sequences.

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/content/papers/10.3997/2214-4609.201701241
2017-06-12
2024-03-28
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References

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