中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adaptive noise suppression for low-S/N microseismic data based on ambient-noise-assisted multivariate empirical mode decomposition

文献类型:期刊论文

作者Yu, Zhichao2,3; Huang, Yingkun2; Fang, Zisen2; Tan, Yuyang4; He, Chuan1
刊名FRONTIERS IN PHYSICS
出版日期2023-06-05
卷号11页码:13
关键词microseismic monitoring seismic signal interference noise noise suppression multivariate empirical mode decomposition
ISSN号2296-424X
DOI10.3389/fphy.2023.1205935
英文摘要Microseismic monitoring data may be seriously contaminated by complex and nonstationary interference noises produced by mechanical vibration, which significantly impact the data quality and subsequent data-processing procedure. One challenge in microseismic data processing is separating weak seismic signals from varying noisy data. To address this issue, we proposed an ambient-noise-assisted multivariate empirical mode decomposition (ANA-MEMD) method for adaptively suppressing noise in low signal-to-noise (S/N) microseismic data. In the proposed method, a new multi-channel record is produced by combining the noisy microseismic signal with preceding ambient noises. The multi-channel record is then decomposed using multivariate empirical mode decomposition (MEMD) into multivariate intrinsic mode functions (MIMFs). Then, the MIMFs corresponding to the main ambient noises can be identified by calculating and sorting energy percentage in descending order. Finally, the IMFs associated with strong interference noise, high-frequency and low-frequency noise are filtered out and suppressed by the energy percentage and frequency range. We investigate the feasibility and reliability of the proposed method using both synthetic data and field data. The results demonstrate that the proposed method can mitigate the mode mixing problem and clarify the main noise contributors by adding additional ambient-noise-assisted channels, hence separating the microseismic signal and ambient noise effectively and enhancing the S/Ns of microseismic signals.
WOS关键词REPRESENTATION ; EVENTS
资助项目Key-Area Research and Development Program of Guangdong Province[2021B0101310002] ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission[JSGG20201102160200001] ; National Key Ramp;D Program of China[2020YFB0204802] ; China Petroleum amp; Chemical Corporation Project[322083]
WOS研究方向Physics
语种英语
WOS记录号WOS:001014039000001
出版者FRONTIERS MEDIA SA
资助机构Key-Area Research and Development Program of Guangdong Province ; Key-Area Research and Development Program of Guangdong Province ; Key-Area Research and Development Program of Guangdong Province ; Key-Area Research and Development Program of Guangdong Province ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; National Key Ramp;D Program of China ; National Key Ramp;D Program of China ; National Key Ramp;D Program of China ; National Key Ramp;D Program of China ; China Petroleum amp; Chemical Corporation Project ; China Petroleum amp; Chemical Corporation Project ; China Petroleum amp; Chemical Corporation Project ; China Petroleum amp; Chemical Corporation Project ; Key-Area Research and Development Program of Guangdong Province ; Key-Area Research and Development Program of Guangdong Province ; Key-Area Research and Development Program of Guangdong Province ; Key-Area Research and Development Program of Guangdong Province ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; National Key Ramp;D Program of China ; National Key Ramp;D Program of China ; National Key Ramp;D Program of China ; National Key Ramp;D Program of China ; China Petroleum amp; Chemical Corporation Project ; China Petroleum amp; Chemical Corporation Project ; China Petroleum amp; Chemical Corporation Project ; China Petroleum amp; Chemical Corporation Project ; Key-Area Research and Development Program of Guangdong Province ; Key-Area Research and Development Program of Guangdong Province ; Key-Area Research and Development Program of Guangdong Province ; Key-Area Research and Development Program of Guangdong Province ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; National Key Ramp;D Program of China ; National Key Ramp;D Program of China ; National Key Ramp;D Program of China ; National Key Ramp;D Program of China ; China Petroleum amp; Chemical Corporation Project ; China Petroleum amp; Chemical Corporation Project ; China Petroleum amp; Chemical Corporation Project ; China Petroleum amp; Chemical Corporation Project ; Key-Area Research and Development Program of Guangdong Province ; Key-Area Research and Development Program of Guangdong Province ; Key-Area Research and Development Program of Guangdong Province ; Key-Area Research and Development Program of Guangdong Province ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; Science and Technology Program of Shenzhen Science and Technology Innovation Commission ; National Key Ramp;D Program of China ; National Key Ramp;D Program of China ; National Key Ramp;D Program of China ; National Key Ramp;D Program of China ; China Petroleum amp; Chemical Corporation Project ; China Petroleum amp; Chemical Corporation Project ; China Petroleum amp; Chemical Corporation Project ; China Petroleum amp; Chemical Corporation Project
源URL[http://ir.iggcas.ac.cn/handle/132A11/111238]  
专题地质与地球物理研究所_岩石圈演化国家重点实验室
通讯作者He, Chuan
作者单位1.Peking Univ, Sch Earth & Space Sci, Beijing, Peoples R China
2.Natl Supercomp Ctr Shenzhen, Shenzhen, Peoples R China
3.Chinese Acad Sci, Inst Geol & Geophys, State Key Lab Lithospher Evolut, Beijing, Peoples R China
4.Ocean Univ China, Coll Marine Geosci, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Key Lab Submarine Geosci & Prospecting Tech,MOE, Qingdao, Peoples R China
推荐引用方式
GB/T 7714
Yu, Zhichao,Huang, Yingkun,Fang, Zisen,et al. Adaptive noise suppression for low-S/N microseismic data based on ambient-noise-assisted multivariate empirical mode decomposition[J]. FRONTIERS IN PHYSICS,2023,11:13.
APA Yu, Zhichao,Huang, Yingkun,Fang, Zisen,Tan, Yuyang,&He, Chuan.(2023).Adaptive noise suppression for low-S/N microseismic data based on ambient-noise-assisted multivariate empirical mode decomposition.FRONTIERS IN PHYSICS,11,13.
MLA Yu, Zhichao,et al."Adaptive noise suppression for low-S/N microseismic data based on ambient-noise-assisted multivariate empirical mode decomposition".FRONTIERS IN PHYSICS 11(2023):13.

入库方式: OAI收割

来源:地质与地球物理研究所

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