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Abstract

Summary

In this paper, we show the application of Tau-P deconvolution in wavelet domain, and deconstrate the benefit of this methodology with improved multiples and noise attenuation from a couple of North Sea OBC surveys. We start by decomposing the seismic data into frequency bands, or scales, using the wavelet transform. We then run Tau-P deconvolution with tailored parameters on each of these wavelet scales, and stack up all scales in order to obtain the optimal product. The data quality uplift of this workflow in comparison to the conventional Tau-P deconvolution makes it attractive and suggests it can be used as a robust tool for seismic noise removal. In addition, it can be applicable to other datasets and widely used to improve the seismic quality.

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/content/papers/10.3997/2214-4609.20141444
2014-06-16
2024-03-29
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References

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