• DocumentCode
    3029421
  • 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
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    305
  • Lastpage
    308
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6002024
  • Filename
    6002024