小波降噪技术在高密度电阻率信号处理中的应用  

The Application of De-noising Technology in the Process of High-density Resistivity Signals

作　　者：苏兆锋[1] 陈昌彦[1] 张在武[2] 

机构地区：[1]北京市勘察设计研究院,北京100038 [2]胜利油田物探公司地震勘探研究所,山东东营257100

出　　处：《工程勘察》2008年第1期72-74,共3页Geotechnical Investigation & Surveying

摘　　要：传统的高密度电阻率信号多采用平均或线性平滑方法进行降噪,效果往往不够理想。本文通过建立低阻球体的正演模型,选取sym4小波作为降噪小波,并采用软阈值和分解层数为四层的降噪处理方法,对原始信号进行降噪,然后再对降噪后的曲线进行数据反提取,最终再利用高密度电阻率法反演软件(Res2dinv)进行反演,对比其反演结果表明,利用小波降噪后的效果比较理想。最后结合工程实例,验证了小波变换降噪技术的可行性和实用性。Traditional de-noising mostly applies average or linear smoothing method to deal with high-density resistivity signal. However, the effect is not so good sometimes. By building the low resistivity sphere forward models, the article chooses the sym4 wavelet as the de-noising wavelet. And original signal noise is primely reduced on using the soft threshold value and four decomposition layers. Then the de-noising data are obtained inversely. Later the data are analyzed by the software of Res2dinv. The effect is very ideal through contrasting the results. Finally, the application of real project proves that the method is feasible and practical.

关 键 词：小波变换 降噪方法 软阈值 高密度电阻率法 

分 类 号：P631[天文地球—地质矿产勘探]