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随机噪声的局部正交压制方法

徐彦凯 曹思远 潘晓 杨光明 张宪旭

石油地球物理勘探2019,Vol.54Issue(2):280-287,前插2,9.
石油地球物理勘探2019,Vol.54Issue(2):280-287,前插2,9.DOI:10.13810/j.cnki.issn.1000-7210.2019.02.006

随机噪声的局部正交压制方法

A local orthogonalization for seismic random noise suppression

徐彦凯 1曹思远 2潘晓 1杨光明 2张宪旭1

作者信息

  • 1. 中国石油大学(北京)地球物理与信息工程学院,北京 102249
  • 2. 中国石油大学(北京)CNPC物探重点实验室,北京 102249
  • 折叠

摘要

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 signaland- 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.

关键词

随机噪声/局部正交/信噪比/整形正则化/自适应奇异值分解

Key words

fandom noise/local orthogonalization/signalto-noise ratio/shaping regularization/adaptive singular value decomposition(ASVD)

分类

天文与地球科学

引用本文复制引用

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,前插2,9.

基金项目

本项研究受国家重点研发计划项目"井口安全监控及井喷智能预警系统"(2017YFC0804500)、国家自然科学基金项目"含裂隙介质AVF规律研究"(41674128)、中国石油科技创新基金项目"陆上层间多次波压制技术"(2017D-5007-0302)和中国石油天然气集团公司科学研究与技术开发项目"深层与非常规物探新方法新技术"(2016A-33)等联合资助. (2017YFC0804500)

石油地球物理勘探

OA北大核心CSCDCSTPCD

1000-7210

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