A local orthogonalization for seismic random noise suppression
XU Yankai1,2, CAO Siyuan1,2, PAN Xiao1,3, YANG Guangming4, and ZHANG Xianxu4
1. College of Geophysics and Information Engineering, China University of Petroleum(Beijing), Beijing 102249, China;
2. CNPC Key Laboratory of Geophysical Exploration, China University of Petroleum(Beijing), Beijing 102249, China;
3. Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China;
4. Xi'an Research Institute, China Coal Technology & Engineering Group, Xi'an, Shaanxi 710077, China
Abstract:The noise section remains a certain amount of useful signal after random noise attenuation.Therefore,we propose in this paper a new approach to retrieve useful signal from the initial noise section based on local signal-and-noise orthogonalization.We firstly use a conventional method to finish initial signal noise separation.The adaptive singular value decomposition(ASVD) is adopted for obtaining higher signal-to-noise ratio(SNR) on the initially de-noised section.Then we predict and retrieve useful signals from the initial noise via a weighting operator.The weighting operator is optimized by solving a least-squares minimization problem via shaping regularization with a smoothness constraint.The final de-noised section is composed of the retrieved signal and the initially de-noised section.Synthetic and field data examples show that the proposed approach can further retrieve useful signal from the initial noise section and effectively attenuate noise and improve seismic data SNR compared with the f-x filtering and the singular value decomposition.
徐彦凯, 曹思远, 潘晓, 杨光明, 张宪旭. 随机噪声的局部正交压制方法[J]. 石油地球物理勘探, 2019, 54(2): 280-287.
XU Yankai, CAO Siyuan, PAN Xiao, YANG Guangming, and ZHANG Xianxu. A local orthogonalization for seismic random noise suppression. Oil Geophysical Prospecting, 2019, 54(2): 280-287.
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