Parallel algorithm for one-way wave equation based migration for seismic imaging

Alexander Pleshkevich, Dmitry Vishnevsky, Vadim Lisitsa, Vadim Levchenko

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

Seismic imaging is the final stage of the seismic processing allowing to reconstruct the internal subsurface structure. This procedure is one of the most time consuming and it requires huge computational resources to get high-quality amplitude-preserving images. In this paper, we present a parallel algorithm of seismic imaging, based on the solution of the one-way wave equation. The algorithm includes parallelization of the data flow, due to the multiple sources/receivers pairs processing. Wavefield extrapolation is performed by pseudo-spectral methods and applied by qFFT - each dataset is processed by a single MPI process. Common-offset vector images are constructed using all the solutions from all datasets thus by all-to-all MPI communications.

Original languageEnglish
Title of host publicationSupercomputing - 4th Russian Supercomputing Days, RuSCDays 2018, Revised Selected Papers
PublisherSpringer-Verlag GmbH and Co. KG
Pages125-135
Number of pages11
ISBN (Print)9783030058067
DOIs
Publication statusPublished - 1 Jan 2019
Event4th Russian Supercomputing Days Conference, RuSCDays 2018 - Moscow, Russian Federation
Duration: 24 Sep 201825 Sep 2018

Publication series

NameCommunications in Computer and Information Science
Volume965
ISSN (Print)1865-0929

Conference

Conference4th Russian Supercomputing Days Conference, RuSCDays 2018
CountryRussian Federation
CityMoscow
Period24.09.201825.09.2018

Keywords

  • CUDA
  • MPI
  • Nested OMP
  • One-way wave equation
  • Pseudo-spectral methods
  • qFFT

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