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
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;
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
DOI :
10.1109/ECCTD.2007.4529592