Three-Component Microseismic Data Denoising Based on Re-Constrain Variational Mode Decomposition

被引:5
作者
Chen, Zhili [1 ]
Wang, Peng [1 ]
Gui, Zhixian [1 ]
Mao, Qinghui [2 ]
机构
[1] Yangtze Univ, Key Lab Explorat Technol Oil & Gas Resources, Minist Educ, Wuhan 430100, Hubei, Peoples R China
[2] Yangtze Univ, Cooperat Innovat Ctr Unconvent Oil & Gas, Wuhan 430100, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 22期
基金
中国国家自然科学基金;
关键词
three-component microseismic data; denoising method; re-constrain VMD; constrained optimization; polarization analysis; NOISE ATTENUATION; HYBRID METHOD; SPECTRUM;
D O I
10.3390/app112210943
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Microseismic monitoring is an important technology used to evaluate hydraulic fracturing, and denoising is a crucial processing step. Analyses of the characteristics of acquired three-component microseismic data have indicated that the vertical component has a higher signal-to-noise ratio (SNR) than the two horizontal components. Therefore, we propose a new denoising method for three-component microseismic data using re-constrain variational mode decomposition (VMD). In this method, it is assumed that there is a linear relationship between the modes with the same center frequency among the VMD results of the three-component data. Then, the decomposition result of the vertical component is used as a constraint to the whole denoising effect of the three-component data. On the basis of VMD, we add a constraint condition to form the re-constrain VMD, and deduce the corresponding solution process. According to the synthesis data analysis, the proposed method can not only improve the SNR level of three-component records, it also improves the accuracy of polarization analysis. The proposed method also achieved a satisfactory effect for field data.
引用
收藏
页数:15
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