Hybridized discretizations for seismic wave simulations

L. Gao; David E. Keyes

doi:10.3997/2214-4609.2021612018

Hybridized discretizations for seismic wave simulations

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We demonstrate three hybridized discretizations that can be stably applied to the wave propagation problem. By confining the most demanding discretization to small subdomains, these techniques have the potential to significantly reduce the computational resources required to perform the routine tasks in seismic studies.

Original language	English (US)
Title of host publication	Fifth EAGE Workshop on High Performance Computing for Upstream
Publisher	European Association of Geoscientists & Engineers
DOIs	https://doi.org/10.3997/2214-4609.2021612018
State	Published - 2021

Bibliographical note

KAUST Repository Item: Exported on 2022-03-28
Acknowledgements: For computer time, this research used the resources of the KAUST Supercomputing Laboratory.

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10.3997/2214-4609.2021612018

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@inproceedings{3f44093292194686ae872a27872f6212,

title = "Hybridized discretizations for seismic wave simulations",

abstract = "We demonstrate three hybridized discretizations that can be stably applied to the wave propagation problem. By confining the most demanding discretization to small subdomains, these techniques have the potential to significantly reduce the computational resources required to perform the routine tasks in seismic studies.",

author = "L. Gao and Keyes, {David E.}",

note = "KAUST Repository Item: Exported on 2022-03-28 Acknowledgements: For computer time, this research used the resources of the KAUST Supercomputing Laboratory.",

year = "2021",

doi = "10.3997/2214-4609.2021612018",

language = "English (US)",

booktitle = "Fifth EAGE Workshop on High Performance Computing for Upstream",

publisher = "European Association of Geoscientists & Engineers",

}

TY - GEN

T1 - Hybridized discretizations for seismic wave simulations

AU - Gao, L.

AU - Keyes, David E.

N1 - KAUST Repository Item: Exported on 2022-03-28 Acknowledgements: For computer time, this research used the resources of the KAUST Supercomputing Laboratory.

PY - 2021

Y1 - 2021

N2 - We demonstrate three hybridized discretizations that can be stably applied to the wave propagation problem. By confining the most demanding discretization to small subdomains, these techniques have the potential to significantly reduce the computational resources required to perform the routine tasks in seismic studies.

AB - We demonstrate three hybridized discretizations that can be stably applied to the wave propagation problem. By confining the most demanding discretization to small subdomains, these techniques have the potential to significantly reduce the computational resources required to perform the routine tasks in seismic studies.

UR - http://hdl.handle.net/10754/675966

UR - https://www.earthdoc.org/content/papers/10.3997/2214-4609.2021612018

UR - http://www.scopus.com/inward/record.url?scp=85118824734&partnerID=8YFLogxK

U2 - 10.3997/2214-4609.2021612018

DO - 10.3997/2214-4609.2021612018

M3 - Conference contribution

BT - Fifth EAGE Workshop on High Performance Computing for Upstream

PB - European Association of Geoscientists & Engineers

ER -

Hybridized discretizations for seismic wave simulations

Abstract

Bibliographical note

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