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Abstract

Summary

Seismic noise attenuation with structural features adequately preserved is a fundamental problem in the seismic data processing field. Unlike conventional spatial filters, anisotropic diffusion filter can eliminate noise and preserve, or even enhance edges simultaneously. This paper presents a method for noise attenuation based on the anisotropic diffusion of the amplitude field. Our formulation of the diffusion process uses seismic attributes to identify horizons and faults, which are used as constraints of the proposed method. We applied our filter on synthetic and real seismic data. The obtained results show that it is effective in removing noise while preserving structural features. Furthermore, we observed a signal-to-noise increase. For the synthetic data corrupted by 50% of salt-and-pepper noise the proposed method can improve the SNR by 49%.

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/content/papers/10.3997/2214-4609.201601331
2016-05-30
2024-04-25

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References

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Noise Attenuation by Anisotropic Diffusion Preserving Structural Features
Conference Proceedings 2016, 1 (2016); https://doi.org/10.3997/2214-4609.201601331
/content/papers/10.3997/2214-4609.201601331
/content/papers/10.3997/2214-4609.201601331
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