Title :
Euler deconvolution method of gravity anomaly based on wavelet analysis
Author :
Hu, Cong ; Fan, Meining ; Wu, Yangang ; Pei, Yao
Author_Institution :
Coll. of Geoexploration Sci. & Technol., Jilin Univ., Changchun, China
Abstract :
In this paper, we applied wavelet analysis to Euler deconvolution, getting more accurate position and depth of gravity anomaly source. Traditionally, the derivation of gravity anomalies mainly adopts the Fourier transform and difference quotient method. Wavelet analysis method is demonstrated to have the characteristics of high accuracy and strong anti-interference through the spreadsheet of step model in theory. High-precision derivatives of gravity anomaly, which can be achieved by wavelet analysis, improved the convergence and accuracy of Euler deconvolution. In practice, the method also gets some achievements.
Keywords :
deconvolution; geophysical signal processing; gravity; wavelet transforms; Euler deconvolution method; Fourier transform; antiinterference; difference quotient method; gravity anomaly; high-precision derivatives; wavelet analysis; Analytical models; Deconvolution; Fourier transforms; Gravity; Wavelet analysis; Wavelet transforms; Euler deconvolution; depth; gravity anomaly; position; wavelet analysis;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6002024