基于小波分析在地震信号噪声消除中的应用
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摘要
在地震勘探中,随机噪声是一种频带较宽、严重影响有效波的干扰波,因此随机噪声的有效去除在地震信号处理中显得尤为重要。傅里叶变换是信号处理传统的随机噪声去除方法。它能够反映信号在整个时间域的频谱特征,但不能对非平稳信号进行分析处理。而小波分析技术可以根据局部图像的差异来调整参数,对保留图像的边缘部分和其它高频部分很有用。本文利用小波分析技术对地震信号进行去噪声处理,结果表明小波分析对噪声有较为彻底的压制,地震信号估计精度得到很大改善。
The random noise is a kind of noise with wide frequency band in seismic data and influences the useful signal very much.It is very important to remove the random noise from the seismic data.Fast Fourier Transform(FFT) is the traditional method to remove the random noise and can analysis a signal on the whole spectrum,however,cannot analysis non-stationary signal.Wavelet analysis is a novel method to improve the practical data and remove the noise and is prior to other methods.This paper uses the wavelet analysis to remove the random noise from the seismic data,the results show that wavelet analysis can more efficiently remove the noise and improve the precision of seismic data.
The random noise is a kind of noise with wide frequency band in seismic data and influences the useful signal very much.It is very important to remove the random noise from the seismic data.Fast Fourier Transform(FFT) is the traditional method to remove the random noise and can analysis a signal on the whole spectrum,however,cannot analysis non-stationary signal.Wavelet analysis is a novel method to improve the practical data and remove the noise and is prior to other methods.This paper uses the wavelet analysis to remove the random noise from the seismic data,the results show that wavelet analysis can more efficiently remove the noise and improve the precision of seismic data.
引文
[1]孙志新.小波分析在地震数据噪声处理中的应用研究[D].哈尔滨:中国地震局工程力学研究所,2008.
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[5]国九英,周兴元,杨慧珠.三维f-x-y域随机噪声衰减[J].石油地球物理勘探,1995,30(2):207-215,291.
[6]Zhang Zhifeng,Su Zhan,Su Yuling,et al.Denoising ofsensor signals for the flange thickness measurement basedon wavelet analysis[J].Optik-International Journal forLight and Electron Optics,2011,122(8):681-686.
[7]Zhang Zhifeng,Su Yuling,Lu Chao.A new method tomeasure the distance between backs of the wheel flangesbased on wavelet analysis denoising[C]//Proceedings ofthe 2nd International Asia Conference on Informatics inControl,Automation and Robotics.2010:229-232.
[8]Zhang Zhifeng,Su Yuling,Lu Chao,et al.Denoising of Fraunhofer diffraction signal based on wavelet analysis[C]//Proceedings of International Conference on Measur-ing Technology and Mechatronics,Automation.2010:902-905.
[9]Sumit K Nath,Vasu R M,Pandit M.Wavelet based com-pression and denoising of optical tomography data[J].Op-tics Communications,1999,167(1-6):37-46.
[10]Duan Q,Angelini E,Song T,et al.Fast interpolation al-gorithms for three-dimensional real-time cardiac ultrasound[C]//Proceedings of the25th Annual International Confer-ence of IEEE.2003:1192-1195.
[11]Zhang Zhi-feng,Gao Zhan,Liu Yuan-yuan.Computer vi-sion based method and system for online measurement of geometric parameters of train wheel sets[J].Sensors,2012,12(1):334-346.
[12]Martinez J P,Almeida R,Olmos S,et al.A wavelet-based ECG delineator:Evaluation on standard databases[J].IEEE Transaction on Biomedical Engineering,2004,51(4):570-581.
[13]Zhang Q,Aliaga-rosel R,Choi P.Denoising of gamma-ray signals by interval-dependent thresholds of wavelet analysis[J].Measurement Science and Technology,2006,17(4):731-735.
[2]付才芳,罗国安.应用KL滤波提高地震记录的信噪比[J].石油地球物理勘探,1986,21(5):486-493.
[3]俞寿朋.高分辨率地震勘探[M].北京:石油工业出版社,1993.
[4]李庆忠.走向精确勘探的道路[M].北京:石油工业出版社,1993.
[5]国九英,周兴元,杨慧珠.三维f-x-y域随机噪声衰减[J].石油地球物理勘探,1995,30(2):207-215,291.
[6]Zhang Zhifeng,Su Zhan,Su Yuling,et al.Denoising ofsensor signals for the flange thickness measurement basedon wavelet analysis[J].Optik-International Journal forLight and Electron Optics,2011,122(8):681-686.
[7]Zhang Zhifeng,Su Yuling,Lu Chao.A new method tomeasure the distance between backs of the wheel flangesbased on wavelet analysis denoising[C]//Proceedings ofthe 2nd International Asia Conference on Informatics inControl,Automation and Robotics.2010:229-232.
[8]Zhang Zhifeng,Su Yuling,Lu Chao,et al.Denoising of Fraunhofer diffraction signal based on wavelet analysis[C]//Proceedings of International Conference on Measur-ing Technology and Mechatronics,Automation.2010:902-905.
[9]Sumit K Nath,Vasu R M,Pandit M.Wavelet based com-pression and denoising of optical tomography data[J].Op-tics Communications,1999,167(1-6):37-46.
[10]Duan Q,Angelini E,Song T,et al.Fast interpolation al-gorithms for three-dimensional real-time cardiac ultrasound[C]//Proceedings of the25th Annual International Confer-ence of IEEE.2003:1192-1195.
[11]Zhang Zhi-feng,Gao Zhan,Liu Yuan-yuan.Computer vi-sion based method and system for online measurement of geometric parameters of train wheel sets[J].Sensors,2012,12(1):334-346.
[12]Martinez J P,Almeida R,Olmos S,et al.A wavelet-based ECG delineator:Evaluation on standard databases[J].IEEE Transaction on Biomedical Engineering,2004,51(4):570-581.
[13]Zhang Q,Aliaga-rosel R,Choi P.Denoising of gamma-ray signals by interval-dependent thresholds of wavelet analysis[J].Measurement Science and Technology,2006,17(4):731-735.
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