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
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;
Conference_Titel :
Circuit Theory and Design, 2005. Proceedings of the 2005 European Conference on
Print_ISBN :
0-7803-9066-0
DOI :
10.1109/ECCTD.2005.1522914