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Abstract

Summary

Model-based water-layer demultiple (MWD) is an effective method for attenuating water-layer-related multiples (WLRMs), especially in shallow water environments. Regular 3D MWD uses regularized common-offset cubes for both shot- and receiver-side multiples. We propose a selective-input adaptation of regular 3D MWD workflow that uses both regularized shot gathers and regularized common-offset cubes as input and prioritizes the data selected for model prediction; data are selected first from regularized shot gathers and then from regularized cubes. Using field data, we demonstrate that this selective-input MWD removes more multiples than regular MWD, especially for high-order multiple reverberations.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.201412689
2015-06-01
2024-04-23

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References

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201412689
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Selective-input Adaptation of Model-based Waterlayer Demultiple
Conference Proceedings 2015, 1 (2015); https://doi.org/10.3997/2214-4609.201412689
/content/papers/10.3997/2214-4609.201412689
/content/papers/10.3997/2214-4609.201412689
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