Seismic Data Denoising for Complex Structure Using BM3D and Local Similarity

H. Wang; S. Cao; K. Jiang; J. Xu; H. Chen

doi:10.3997/2214-4609.201801419

Seismic Data Denoising for Complex Structure Using BM3D and Local Similarity
Authors H. Wang¹, S. Cao¹, K. Jiang¹, J. Xu¹, H. Chen¹
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Affiliations: ¹ China University of Petroleum
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, 80th EAGE Conference and Exhibition 2018, Jun 2018, Volume 2018, p.1 - 5
DOI: https://doi.org/10.3997/2214-4609.201801419

Abstract

Summary

BM3D is an effective denoising algorithm which can produce the high signal-to-noise section. But when applied to the complex structure seismic data, it may do some harm to the details of structure. For this problem, we use the local similarity method to recover the leaking signal energy from the noisy section and add it to the denoising result. The synthetic model and real data example show that this combined method can improve the quality of denoising section and keep the fidelity of structure effectively.

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2018-06-11

2024-04-24

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References

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Seismic Data Denoising for Complex Structure Using BM3D and Local Similarity

Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201801419

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Seismic Data Denoising for Complex Structure Using BM3D and Local Similarity

Abstract

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The natural combination of full and image‐based waveform inversion

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Characterizing the effect of elastic interactions on the effective elastic properties of porous, cracked rocks

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Laboratory measurements of guided‐wave propagation within a fluid‐saturated fracture