J4

• 地球探测与信息技术 • 上一篇    下一篇

基于小波分析的重磁数据求导方法及应用

方东红1, 曾昭发1,陈家林2   

  1. 1.吉林大学 地球探测科学与技术学院,长春 130026;2.吉林省区域地质矿产调查所,长春 130022
  • 收稿日期:2008-03-18 修回日期:1900-01-01 出版日期:2008-11-26 发布日期:2008-11-26
  • 通讯作者: 方东红

The Derivatives Calculation Based on Wavelet Analysis of G/M Data and Its Application

FANG Dong-hong1, ZENG Zhao-fa1,CHEN Jia-lin2   

  1. 1.College of GeoExploration Science and Technology, Jilin University, Changchun 130026,China;2.Survey of Regional Geology and Mineral Resources of Jilin Province,Changchun 130022,China
  • Received:2008-03-18 Revised:1900-01-01 Online:2008-11-26 Published:2008-11-26
  • Contact: FANG Dong-hong

摘要: 在双正交小波分析下,实现了重磁异常数据高精度的导数计算。该算法是在小波分析得到的系数基础上,采用Monte-Carlo方法进行噪声的估计,根据获得参数分别进行去噪处理。理论计算结果表明:算法的计算效率高,计算的结果精度高,抗干扰能力强。实际数据处理结果表明:采用基于小波变换的方法完成导数处理,结果对地质填图中地质体边界的划分和磁性地层参数分析提供了重要的资料,也为采用基于导数的位场数据反演解释方法提供了优良的基础数据。

关键词: 重磁异常数据, 导数处理, 小波分析, Monte-Carlo方法

Abstract: The wavelet analysis is widely applied in geophysical data processing and interpretation for its multiple resolution analysis, and got very good results. The biorthogonal wavelet analysis was used as original basis of wavelet for high accuracy derivates calculation, which serves as important information of anomaly analyses and interpretation, and also as the basic data for further calculation as Euler deconvolution, analytic inversion and source parameters interpretation. Based on the wavelet coefficients, the Monte-Carlo method was applied to calculate the parameters of noise. The cases study from real data shows that the algorithm has high accuracy, and its results can help the geological mapping and strata study.

Key words: gravity and magnetic data, derivative processing, wavelet analysis, Monte-Carlo method

中图分类号: 

  • P631.2
[1] 卢文喜, 安永凯, 宋文博, 于婷. 吉林西部季节性气象干旱的时空演化特征[J]. 吉林大学学报(地球科学版), 2016, 46(2): 543-551.
[2] 张鹏, 陈剑平, 张丽, 肖云华. 隧道围岩断面轮廓分维数与岩体质量关系[J]. J4, 2010, 40(5): 1110-1114.
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