CNN-UM based transversely isotropic elastic wave propagation simulation
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...
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creator | Sonkoly, P. Noe, I. Carcione, J.M. Nagy, Z. Szolgay, P. |
description | 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. |
doi_str_mv | 10.1109/ECCTD.2007.4529592 |
format | Conference Proceeding |
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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.</abstract><pub>IEEE</pub><doi>10.1109/ECCTD.2007.4529592</doi><tpages>4</tpages></addata></record> |
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subjects | 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 |
title | CNN-UM based transversely isotropic elastic wave propagation simulation |
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