Research on the application of 3D curvelet transform to seismic data denoising

被引：0

作者：

Zhang, Zhihan ^{[1
]}

Sun, Chengyu ^{[1
]}

Yao, Yongqiang ^{[2
]}

Xiao, Guangrui ^{[1
]}

机构：

[1] School of Geosciences, China University of Petroleum, Qingdao, China

[2] Bohai Petroleum Institute, CNOOC Tianjin Company, Tianjin, China

来源：

Geophysical Prospecting for Petroleum | 2014年 / 53卷 / 04期

关键词：

Inverse problems - Testing - Mathematical transformations - Seismic response - Seismic waves;

D O I：

10.3969/j.issn.1000-1441.2014.04.007

中图分类号：

学科分类号：

摘要：

Owing to the undesired effect of 3D seismic data denoising based on 2D curvelet transform, a seismic data denoising method based on 3D curvelet transform is proposed in this paper. First, 3D seismic data is transformed to curvelet domain, which is decomposed to different scales and different orientations. And then we make correlation calculation to distinguish curvelet coefficients representing signal or random noise, use modified non-linear threshold to process the curvelet coefficients. Finally, denoised seismic signal is obtained by inverse 3D curvelet transform. The test processing results of modeling and actual data show that the denoising method based on 3D curvelet transform could suppress random noise and preserve effective signals as to improve the SNR of the 3D seismic data.

引用

页码：421 / 430

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