基于递归滤波的工频噪声压制方法研究
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摘要
在老油区地震勘探中,工频噪声干扰严重影响了地震资料的品质。压制工频噪声的常规方法是陷波处理,该方法在压制噪声的同时对有效信号损伤很大。另一类基于正弦或余弦函数逼近的工频噪声压制方法,通常假设工频噪声的振幅、频率和相位保持固定不变,在实际资料处理时其适用性受到很大限制,并且计算量较大,算法效率不高。在分析已有方法的基础上,提出了一种基于递归滤波的工频噪声压制方法,利用工频噪声的周期性,导出递归滤波器,并对递归滤波算子作适当修改,保证了滤波器的稳定性和物理可实现性。理论记录试算与实际资料处理结果表明,该方法能够有效压制工频噪声,且不损伤有效信号。
The quality of seismic data is often influenced by industrial noise in old oilfield exploration.Notch-filtering is commonly used for removing industrial noise and leads to damage the effective signal.Methods based Cosine or Sine function approach is only adaptable to the cases that the amplitude,frequency and phase of industrial noise are stable.The adaptability of the method was limited during actual data processing and it has the disadvantage of large calculation amount and low calculation efficiency on the base of analysis of existing methods.Therefore,the recursion filtering algorithm was proposed to suppress industrial noise.The recursion filter is derived based on industrial noise cyclicity,the operator of recursion filter is modified to ensure the stability and physical feasibility.Tests on synthetic and real data show that this method can remove the industrial noise and avoid the damage to effective signal at the same time.
The quality of seismic data is often influenced by industrial noise in old oilfield exploration.Notch-filtering is commonly used for removing industrial noise and leads to damage the effective signal.Methods based Cosine or Sine function approach is only adaptable to the cases that the amplitude,frequency and phase of industrial noise are stable.The adaptability of the method was limited during actual data processing and it has the disadvantage of large calculation amount and low calculation efficiency on the base of analysis of existing methods.Therefore,the recursion filtering algorithm was proposed to suppress industrial noise.The recursion filter is derived based on industrial noise cyclicity,the operator of recursion filter is modified to ensure the stability and physical feasibility.Tests on synthetic and real data show that this method can remove the industrial noise and avoid the damage to effective signal at the same time.
引文
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[2]李振春,张军华.地震数据处理方法[M].东营:中国石油大学出版社,2004:60-63Li Z C,Zhang J H.Seismic Data Processing Methods[M].Dongying:China University of PetroleumPress,2004:60-63
[3]邹才能,张颖.油气勘探开发实用地震新技术[M].北京:石油工业出版社,2002:152-153Zou C N,Zhang Y.New Practical Seismic Technolo-gy in Oil and Gas Exploration and Development[M].Beijing:Petroleum Industry Press,2002:152-153
[4]凌云,郭向宇.非地表一致性噪声的压制[J].石油地球物理勘探,1992,27(1):13-28Ling Y,Guo X Y.Method for suppressing the non-surface-consistent noises[J].Oil Geophysical Pros-pecting,1992,27(1):13-28
[5]李文艳,牛彦良,吴明华.去除50Hz干扰波的地震资料处理新方法[J].大庆石油地质与开发,2001,20(5):67-68Li W Y,Niu Y L,Wu M H.New method for seismicdata processing of eliminating 50Hz disturbing wave[J].Petroleum Geology&Oilfield Development inDaqing,2001,20(5):67-68
[6]高少武,赵波,贺振华,等.基于余弦函数的自适应单频干扰去除[J].地球物理学进展,2009,24(5):1762-1767Gao S W,Zhao B,He Z H,et al.Elimination of a-daptive mono-frequency interference based on cosinefunction[J].Progress in Geophysics,2009,24(5):1762-1767
[7]刘洋.强工频干扰波的提取与去除方法[J].石油物探,2003,42(2):154-159Liu Y.Extraction and removal of strong power in-terference[J].Geophysical Prospecting for Petrole-um,2003,42(2):154-159
[8]胡伟,吕小伟.压制地震资料中工业电干扰的余弦逼近法的改进及应用[J].物探与化探,2005,29(6):537-540Hu W,Lv X W.The improvement Of cosine ap-proach method and its application to remove indus-trial noise in seismic data[J].Geophysical and Ge-ochemical Exploration,2005,29(6):537-540
[9]魏巍,刘学伟.基于独立分量分析的工频干扰去除技术[J].计算机应用研究,2009,26(1):227-229.Wei W,Liu X W.Power interference removal meth-od based on independent component analysis[J].Application Research of Computers,2009,26(1):227-229
[10]吴小培,詹长安,周荷琴,等.采用独立分量分析方法去除信号中的工频干扰[J].中国科技大学学报,2000,30(6):671-676Wu X P,Zhan C A,Zhou H Q,et al.Removal ofpower interference from digital signals by using in-dependent component analysis[J].Journal of Uni-versity of Science and Technology of China,2000,30(6):671-676
[11]陈雷,张立毅,郭艳菊,等.基于时间结构盲源分离算法的工频干扰去除[J].电路与系统学报,2010,15(4):27-31Chen L,Zhang L Y,Guo Y J,et al.Power interfer-ence removal based on blind source separation usingtemporal structure[J].Journal of Circuits and Sys-tems,2010,15(4):27-31
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