Radon Transform Removes Correlation Noise Produced by Vibroseis

Jun Qiu Wang; Jun Lin; Xiang Bo Gong

doi:10.4028/www.scientific.net/AMM.672-674.1964

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 672-674Radon Transform Removes Correlation Noise Produced...

Radon Transform Removes Correlation Noise Produced by Vibroseis

Abstract:

Vibroseis obtained the seismic record by cross-correlation detection calculation. compared with dynamite source, cross-correlation detection can suppress random noise, but produce more correlation noise. This paper studies Radon transform to remove correlation noise produced by electromagnetic drive vibroseis and impact rammer. From the results of processing field seismic records, we can see that Radon transform can remove correlation noise by vibroseis, the SNR of vibroseis seismic data is effectively improved.

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Periodical:

Applied Mechanics and Materials (Volumes 672-674)

Pages:

1964-1967

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.672-674.1964

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Online since:

October 2014

Authors:

Jun Qiu Wang*, Jun Lin, Xiang Bo Gong

Keywords:

Correlation Noise, Radon Transform, Vibroseis

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* - Corresponding Author

References

[1] Junqiu Wang, Jun Lin, Xiangbo Gong, et al. Study on vibroseis data preprocessing method of metal mining seismic exploration [C]/ 2013 International Conference on Renewable Energy and Environmental Technology(REET 2013, Jilin, China): 3751-3756.

DOI: 10.4028/www.scientific.net/amm.448-453.3751

Google Scholar

[2] Wang Junqiu, Lin Jun, Jiang Tao, et al. Experiment and Application of Controlled Vibrator Seismic Method at Jinchang Copper-Nickel Mineral Deposit[J]. Journal of Jilin University: Earth Science Edition, 2011, 41(5): 1617-1622. In Chinese.

Google Scholar

[3] Wang Junqiu, Lin Jun, Jiang Tao, et al. Comparison of Electromagnetic Vibrator and Impact Coding Source[C]/The 3rd International Workshop on Intelligent Systems and Applications. Wuhan: IEEE Press: 135-138.

DOI: 10.1109/isa.2011.5873274

Google Scholar

[4] Wang Junqiu, Lin Jun, Chen Zubin, et al. Experiment and application of mini vibrators seismic exploration in oil shale [J]. Journal of Jilin University: Earth Science Edition, 2012, 42(S3): 265-270. In Chinese.

Google Scholar

[5] Yanghua W. Multiple attenuation coping with the spatial truncation effect in the Radon transform domain [J]. Geophysical Prospecting, 2003, 51, 75-87.

DOI: 10.1046/j.1365-2478.2003.00355.x

Google Scholar

[6] Zhou Y, John F. Wavelet-Radon domain dealiasing and interpolation of seismic data [J]. Geophysics, 2007, 72(2): 41-49.

DOI: 10.1190/1.2422797

Google Scholar

[7] Cristina M C, Sacchi M D. Enhanced resolution in Radon domain using the shifted hyperbola equation [J]. SEG/Houston Annual Meeting, (2005).

DOI: 10.1190/1.2148171

Google Scholar

[8] Ethan J N, Matthias G I, Amplitude preservation of Radon-based multiple-removal filters [J]. Geophysics, 2006, 71(5): 123-126.

Google Scholar

[9] Zhihong Cao. Analysis and application of the Radon transform [D]. Geology and Geophysics Calgary, 2006: 45.

Google Scholar

[10] Ng M, Perz M. High resolution Radon transform in the t-x domain using intelligent, prioritization of the Gauss-Seidel estimation sequence [J]. SEG Expanded Abstracts, 2004: 2160-2163.

DOI: 10.1190/1.1845211

Google Scholar