• DocumentCode
    226701
  • Title

    Why Ricker wavelets are successful in processing seismic data: Towards a theoretical explanation

  • Author

    Gholamy, Afshin ; Kreinovich, Vladik

  • Author_Institution
    Comput. Sci. Program, Univ. of Texas at El Paso, El Paso, TX, USA
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    11
  • Lastpage
    16
  • Abstract
    In many engineering applications ranging from engineering seismology to petroleum engineering and civil engineering, it is important to process seismic data. In processing seismic data, it turns out to be very efficient to describe the signal´s spectrum as a linear combination of Ricker wavelet spectra. In this paper, we provide a possible theoretical explanation for this empirical efficiency. Specifically, signal propagation through several layers is discussed, and it is shown that the Ricker wavelet is the simplest non-trivial solution for the corresponding data processing problem, under the condition that the described properties of the approximation family are satisfied.
  • Keywords
    seismic waves; signal processing; wavelet transforms; Ricker wavelet spectra; seismic data processing; signal propagation; signal spectrum; Approximation methods; Convolution; Earthquakes; Fourier transforms; Probability density function; Random variables; Seismic waves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Engineering Solutions (CIES), 2014 IEEE Symposium on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/CIES.2014.7011824
  • Filename
    7011824