摘要
激电测量数据中一般包含有噪声和异常叠加效应,如何有效分离出有用异常信息,提高激电异常室内处理的效率和解释水平,成为激电异常解释的重要环节。在数据处理方法上,小波变换是20世纪80年代中期发展起来的一门新兴的数学理论和方法,在空间变换域和频率域同时具有良好的局部分析性质,可以将信号分解成各种不同频率或尺度成分,利用小波变换的上述特点,对激电异常进行划分,便可得到各种尺度意义下的异常。应用小波分析方法对河南省某矿区激电异常进行数据处理,区分出噪声和地表浅小地质体的干扰异常,深源或规模较大地质体的背景异常,突出了矿体的异常信息,取得了较好的效果。
Noise and abnormal superposition effect usually contained in IP anomaly data, how to effectively isolate the exception information,improve the IP anomaly indoor processing efficiency and the level of explanation,is an important link of IP anomaly interpretation.In data processing method,the wavelet transform is a new mathematical theory and methods developed in the mid-1980s,it has a good nature of local analysis in the space domain and frequency domain at the same time,the signal can be broken down into a variety of different frequency or scale in- gredients,using the above characteristics of wavelet transform,we can get a variety of abnormal in the sense of scales based on the IP anomaly classification.The application of wavelet analysis method in a mining area of Henan Province in ladder IP anomaly data processing,to distinguish noise and surface shallow geological interference anomaly,deep source or larger scale geological background abnormalities,highlighting the ore anomaly informa- tion, finally obtain better data processing effect.
出处
《黄金科学技术》
2012年第3期80-85,共6页
Gold Science and Technology
关键词
激电异常
小波分析
数据处理
IP anomaly
Wavelet analysis
Data processing
