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

Alexander Pleshkevich, Dmitry Vishnevsky, Vadim Lisitsa, Vadim Levchenko

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

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.

Язык оригиналаанглийский
Название основной публикацииSupercomputing - 4th Russian Supercomputing Days, RuSCDays 2018, Revised Selected Papers
ИздательSpringer-Verlag GmbH and Co. KG
Страницы125-135
Число страниц11
ISBN (печатное издание)9783030058067
DOI
СостояниеОпубликовано - 1 янв 2019
Событие4th Russian Supercomputing Days Conference, RuSCDays 2018 - Moscow, Российская Федерация
Продолжительность: 24 сен 201825 сен 2018

Серия публикаций

НазваниеCommunications in Computer and Information Science
Том965
ISSN (печатное издание)1865-0929

Конференция

Конференция4th Russian Supercomputing Days Conference, RuSCDays 2018
СтранаРоссийская Федерация
ГородMoscow
Период24.09.201825.09.2018

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    Pleshkevich, A., Vishnevsky, D., Lisitsa, V., & Levchenko, V. (2019). Parallel algorithm for one-way wave equation based migration for seismic imaging. В Supercomputing - 4th Russian Supercomputing Days, RuSCDays 2018, Revised Selected Papers (стр. 125-135). (Communications in Computer and Information Science; Том 965). Springer-Verlag GmbH and Co. KG. https://doi.org/10.1007/978-3-030-05807-4_11