Ground roll attenuation based on an empirical curvelet transform
Yuan Huan1, Hu Zi-Duo1, Liu Zhao2, and Ma Jian-Wei2
1. Research Institute of Petroleum Exploration and Development-Northwest, Petrochina, Lanzhou, 730020, China.
2. Center of Geophysics and Department of Mathematics, Harbin Institute of Technology, Harbin, 150001, China.
Abstract In the field of seismic exploration, ground roll seriously affects the deep effective reflections from subsurface deep structures. Traditional curvelet transform cannot provide an adaptive basis function to achieve a suboptimal denoised result. In this paper, we propose a method based on empirical curvelet transform (ECT) for ground roll attenuation. Unlike the traditional curvelet transform, this method not only decomposes seismic data into multiscale and multi-directional components, but also provides an adaptive filter bank according to frequency content of seismic data itself. So, ground roll can be separated by using this method. However, as the frequency of reflection and ground roll components are close, we apply singular value decomposition (SVD) in the curvelet domain to differentiate the ground roll and reflection better. Examples of synthetic and field seismic data reveal that the proposed method based ECT performs better than the traditional curvelet method in terms of the suppression of ground roll.
The work was supported in part by the National Key Research and Development Program of China (No. 2017YFB0202900) and the National Natural Science Foundation of China (Nos. 41625017, 41374121, and 91730306).
Cite this article:
. Ground roll attenuation based on an empirical curvelet transform[J]. APPLIED GEOPHYSICS, 2018, 15(1): 111-117.
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