基于小波变换的地震映像法资料去噪研究
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摘要
本文介绍了小波分析方法在地震映像法资料去噪处理中的应用研究。首先,通过对球体模型进行射线追踪,得到了球体反射点与反射时间。然后,在MATLAB环境中采用一维小波变换和二维小波变换分别对地震映像资料进行去噪效果研究,进行阈值滤波试验结果表明Bal.sparsity_norm(sqrt)阈值计算方法的处理效果较好。通过一维小波变换和二维小波变换的对比分析,对于二维地震图像的处理,二维小波变换处理效果较佳。在此基础上,采用二维小波分析阈值滤波法,对中国地质大学数理楼西侧路面下方防空坑道的地震映像法资料进行了处理,取得了较好的去噪效果。
This paper introduced the study of wavelet analysis in the data processing of seismic reflection imaging data.First,the ray tracing method was used for a standard sphere model which represented a Karst cave to obtain a seismic profile,then the one-dimensional wavelet transform and two-dimensional wavelet transform methods were studied for the denoising of the random Gauss noises.The results showed that Bal.sparsity_norm(sqrt) threshold filtering method was better than other methods in the MATLAB wavelet tools,and also two-dimensional wavelet transform was better than one-dimensional wavelet transform.On the basis of the synthetic model,the two-dimensional wavelet method was applied to the collected seismic reflection data of the west side of the road tunnel beneath in the mathematical building of China University of Geosciences.The results showed that wavelet denoised method achieved good results.
This paper introduced the study of wavelet analysis in the data processing of seismic reflection imaging data.First,the ray tracing method was used for a standard sphere model which represented a Karst cave to obtain a seismic profile,then the one-dimensional wavelet transform and two-dimensional wavelet transform methods were studied for the denoising of the random Gauss noises.The results showed that Bal.sparsity_norm(sqrt) threshold filtering method was better than other methods in the MATLAB wavelet tools,and also two-dimensional wavelet transform was better than one-dimensional wavelet transform.On the basis of the synthetic model,the two-dimensional wavelet method was applied to the collected seismic reflection data of the west side of the road tunnel beneath in the mathematical building of China University of Geosciences.The results showed that wavelet denoised method achieved good results.
引文
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[13]Franjo umanovac,Mario Weisser.Evaluation of re-sistivity and seismic methods for hydrogeologicalmapping in karst terrains[J].Journal of AppliedGeophysics,2001,47(1):35~36.
[2]杨祥森,林昀,崔德海.地震映像法在铁路隧道隐伏岩溶勘查中的应用[J].工程地球物理学报,2007,4(5):470~474.
[3]王万合,王晓柳,刘江平,等.地震映像法在某高速公路岩溶探测中的应用[J].工程地球物理学报,2007,4(2):141~145.
[4]雷宛,肖宏跃,邓一谦.工程与环境物探教程[M].北京:地质出版社,2006.
[5]林文太,卞坚耐.地震映象法在港口码头工程地质勘察中的应用[J].港工技术,2001,1(1):45~48.
[6]周孝宇.浅层地震映像技术在岩溶探查中的应用[J].山西建筑,2006,32(6):119~120.
[7]杨占东,刘江平,刘作.地震映像法在长江某过江隧道勘查中的应用[J].工程地球物理学报,2007,4(6):601~605.
[8]钟凌云.小波变换方法在地震资料噪声消除中的应用[J].物探与化探,2007,31(3):245~249.
[9]刘天佑.位场勘探数据处理新方法[M].北京:科学出版社,2007.
[10]魏明果.实用小波分析[M].北京:北京理工大学出版社,2005.
[11]高成.MATLAB小波分析与应用[M].北京:国防工业出版社,2007.
[12]Zhang Wenpo,Guo Ping,and Hu Tianyue.Studyand Practice of Wide-Angle Seismic Data Processing[J].Applied Geophysics,2004,1(1):31~37.
[13]Franjo umanovac,Mario Weisser.Evaluation of re-sistivity and seismic methods for hydrogeologicalmapping in karst terrains[J].Journal of AppliedGeophysics,2001,47(1):35~36.
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