Seismic wave propagation modelling on emulated digital CNN-UM architecture

Péter Kozma, Zoltán Nagy, P. Szolgay

Research output: Contribution to journalArticle

Abstract

The synthetic seismogram has seen many years of widespread and successful application in geophysical prospecting. It is used to simulate the normal incidence reflectivity of a horizontally stratified medium and has been employed more recently to obtain the responses of subsurface structural and stratigraphie configurations. The solution of the partial differential equations of motion describing the propagation of stress waves in an elastic medium requires enormous computation power. In this paper a solution of seismic wave propagation will be presented on CNN-UM architecture. Unfortunately the space-dependent equations and the low computational precision do not make it possible to utilize the huge computing power of the analog CNN-UM chips so the Falcon emulated digital CNN-UM architecture is used to improve the performance of our solution.

Original languageEnglish
Pages (from-to)183-193
Number of pages11
JournalPeriodica Polytechnica, Electrical Engineering
Volume49
Issue number3-4
Publication statusPublished - 2005

Fingerprint

Geophysical prospecting
Seismic waves
Wave propagation
Partial differential equations
Equations of motion

Keywords

  • Cellular Neural Network
  • Emulated digital CNN
  • Seismic modelling
  • Synthetic seismogram

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Seismic wave propagation modelling on emulated digital CNN-UM architecture. / Kozma, Péter; Nagy, Zoltán; Szolgay, P.

In: Periodica Polytechnica, Electrical Engineering, Vol. 49, No. 3-4, 2005, p. 183-193.

Research output: Contribution to journalArticle

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