• DocumentCode
    2256372
  • Title

    Inverse elastic wave propagation modeling on CNN-UM architecture

  • Author

    Sonkoly, P. ; Kocsárdi, S. ; Kozma, P. ; Szolgay, P.

  • Author_Institution
    Dept. of Image Process. & Neurocomputing, Veszprem Univ., Hungary
  • Volume
    1
  • fYear
    2005
  • fDate
    28 Aug.-2 Sept. 2005
  • Abstract
    Exploration seismology deals with the use of artificially generated elastic waves to locate mineral deposits (including hydrocarbons, ores, water, geothermal reservoirs, etc.) archeological sites and to obtain geological information for engineering. The elastic waves generated by an explosion propagate through the examined geological area and recorded on the surface. The structure of the area can be determined by using the recorded data called seismogram. The propagation of elastic waves in an elastic medium can be described by second order partial differential equations. The solution of these kinds of equations requires enormous computation power. In this paper a solution of inverse seismic wave propagation is presented on Falcon emulated digital CNN-UM architecture.
  • Keywords
    cellular neural nets; geophysical techniques; partial differential equations; seismic waves; seismology; seismometers; archeological sites; artificially generated elastic waves; digital CNN-UM architecture; elastic medium; elastic waves propagation; exploration seismology; geological information; inverse elastic wave propagation modeling; mineral deposits; partial differential equations; seismogram; Explosions; Geology; Geothermal power generation; Hydrocarbon reservoirs; Minerals; Ores; Partial differential equations; Seismology; Surface waves; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuit Theory and Design, 2005. Proceedings of the 2005 European Conference on
  • Print_ISBN
    0-7803-9066-0
  • Type

    conf

  • DOI
    10.1109/ECCTD.2005.1522914
  • Filename
    1522914