DocumentCode
1567980
Title
CNN-UM based transversely isotropic elastic wave propagation simulation
Author
Sonkoly, Péter ; Noé, István ; Carcione, J.M. ; Nagy, Zoltán ; Szolgay, Péter
Author_Institution
Dept. of Image Process. & Neurocomputong, Univ. of Pannonia, Veszprem
fYear
2007
Firstpage
284
Lastpage
287
Abstract
Several previous studies have proved the effectiveness of the CNN-UM solution of isotropic elastic wave equations. Most crustal rocks of interest to exploration geophysics are either inherently anisotropic or behave as anisotropic materials when probed by seismic waves. This paper describes modeling of wave propagation in transversely isotropic media. Numerical methods which are based on finite-difference (FD) techniques (in time and space) were not efficient when applied to realistic 3D models, because they require enormous computer memory and power. This work investigates the simulation speedup of FD techniques by CNN-UM architecture. Unfortunately the huge number of space- dependent equations and the low computational precision do not make it possible to utilize the huge computing power of the analogue VLSI CNN-UM chips so the FPGA based Falcon emulated digital CNN-UM architecture is used to implement our solution.
Keywords
cellular neural nets; elastic waves; finite difference methods; wave propagation; anisotropic material; cellular neural network; exploration geophysics; isotropic elastic wave equation; isotropic elastic wave propagation simulation; realistic 3D model; seismic wave; space dependent equation; transversely isotropic media; Analog computers; Anisotropic magnetoresistance; Computational modeling; Computer architecture; Field programmable gate arrays; Finite difference methods; Geophysics; Partial differential equations; Seismic waves; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuit Theory and Design, 2007. ECCTD 2007. 18th European Conference on
Conference_Location
Seville
Print_ISBN
978-1-4244-1341-6
Electronic_ISBN
978-1-4244-1342-3
Type
conf
DOI
10.1109/ECCTD.2007.4529592
Filename
4529592
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