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小波变换在双频激电数据处理中的应用

Application of wavelet transform on the data processing of dual-frequency IP survey

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【作者】 李耀恩吴小平

【Author】 LI Yao-en;WU Xiao-ping;Inner Mongolia First Hydrogeology Engineering Geological Prospecting Institute;School of Geosciences and Info-Physics,Central South University;

【机构】 内蒙古自治区第一水文地质工程地质勘查院中南大学地球科学与信息物理工程学院

【摘要】 双频激电观测方法具有优良的抗干扰性能,能够有效的避开现代人文干扰.但在地表风化严重的矿区,分散的矿晕会给双频激电方法添加大量的"矿致"干扰噪声异常.这种噪声往往超高、超强,一般的圆滑方法根本没办法滤除.作者通过将已知正弦波信号叠加随机超高、超强噪声信息,然后比较小波变换、5点2次圆滑、7点2次圆滑等的处理结果,发现小波变换能够有效压制超高、超强的噪声干扰.并通过对埃塞俄比亚西部某矿区的实测双频激电数据进行小波变换处理,处理后的结果很好的滤除了测区超高、超大的干扰噪声信息,取得了比较理想的结果.

【Abstract】 Dual-frequency Induced Polarization observation method has excellent anti-noise performance.It can effectively avoid the modern human interference.But in the strongly weathered surface of mine,mineral dispersion halo will add a lot of "mine-induced" noise interference to the Dual-frequency Induced Polarization method.This noise is often higher and strong,no way to filter it out for general smooth sleek method simply.By adding a random higher and strong noise signals on a sine wave signal,and then compare the processing results of wavelet transform and smooth sleek methods,we found that the wavelet transform can effectively suppress higher and strong noise interference.And through a wavelet transform processing for the measured Dual-frequency Induced Polarization data of mine in western Ethiopia,the processed results of the survey area had been filtered the higher and strong interference noise signal.We obtained more satisfactory results.

【基金】 国家自然科学基金(41174103);博士点基金(20070533075)项目联合资助
  • 【文献出处】 地球物理学进展 ,Progress in Geophysics , 编辑部邮箱 ,2015年01期
  • 【分类号】P631.3
  • 【被引频次】8
  • 【下载频次】81
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