Convolutional perfect matched layer boundary for trapezoid grid finite difference seismic modeling

Bangyu Wu; Wenhao Xu; Junxiong Jia; Bo Li; Hui Yang; Haixia Zhao; Jinghuai Gao

doi:10.1190/segam2018-2995754.1

Convolutional perfect matched layer boundary for trapezoid grid finite difference seismic modeling

Bangyu Wu
, Wenhao Xu
, Junxiong Jia
, Bo Li
, Hui Yang
, Haixia Zhao
, Jinghuai Gao

Research output: Contribution to conference › Paper › peer-review

3 Scopus citations

Abstract

Trapezoid grid Finite Difference (FD) changes the grid size according to velocity variations. Comparing with the FD algorithm for uniform grid size decided by the minimum velocity, it is a memory-efficient wave modeling scheme due to the reduction of grid number. The area for computation is limited in size and the absorbing boundary conditions are applied to reduce the artificial reflections from model boundaries. In this paper, the Convolutional Perfect Matched Layer (CPML) absorbing condition is derived for the trapezoid grid isotropic acoustic wave equation. Effectiveness of the CMPL is demonstrated on the numerical simulation examples.

Original language	English
Pages	3989-3993
Number of pages	5
DOIs	https://doi.org/10.1190/segam2018-2995754.1
State	Published - 2019
Event	88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018 - Anaheim, United States Duration: 14 Oct 2018 → 19 Oct 2018

Conference

Conference	88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018
Country/Territory	United States
City	Anaheim
Period	14/10/18 → 19/10/18

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10.1190/segam2018-2995754.1

Cite this

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title = "Convolutional perfect matched layer boundary for trapezoid grid finite difference seismic modeling",

abstract = "Trapezoid grid Finite Difference (FD) changes the grid size according to velocity variations. Comparing with the FD algorithm for uniform grid size decided by the minimum velocity, it is a memory-efficient wave modeling scheme due to the reduction of grid number. The area for computation is limited in size and the absorbing boundary conditions are applied to reduce the artificial reflections from model boundaries. In this paper, the Convolutional Perfect Matched Layer (CPML) absorbing condition is derived for the trapezoid grid isotropic acoustic wave equation. Effectiveness of the CMPL is demonstrated on the numerical simulation examples.",

author = "Bangyu Wu and Wenhao Xu and Junxiong Jia and Bo Li and Hui Yang and Haixia Zhao and Jinghuai Gao",

note = "Publisher Copyright: {\textcopyright} 2018 SEG.; 88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018 ; Conference date: 14-10-2018 Through 19-10-2018",

year = "2019",

doi = "10.1190/segam2018-2995754.1",

language = "英语",

pages = "3989--3993",

}

Wu, B, Xu, W, Jia, J, Li, B, Yang, H, Zhao, H & Gao, J 2019, 'Convolutional perfect matched layer boundary for trapezoid grid finite difference seismic modeling', Paper presented at 88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018, Anaheim, United States, 14/10/18 - 19/10/18 pp. 3989-3993. https://doi.org/10.1190/segam2018-2995754.1

Convolutional perfect matched layer boundary for trapezoid grid finite difference seismic modeling. / Wu, Bangyu; Xu, Wenhao; Jia, Junxiong et al.
2019. 3989-3993 Paper presented at 88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018, Anaheim, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Convolutional perfect matched layer boundary for trapezoid grid finite difference seismic modeling

AU - Wu, Bangyu

AU - Xu, Wenhao

AU - Jia, Junxiong

AU - Li, Bo

AU - Yang, Hui

AU - Zhao, Haixia

AU - Gao, Jinghuai

PY - 2019

Y1 - 2019

N2 - Trapezoid grid Finite Difference (FD) changes the grid size according to velocity variations. Comparing with the FD algorithm for uniform grid size decided by the minimum velocity, it is a memory-efficient wave modeling scheme due to the reduction of grid number. The area for computation is limited in size and the absorbing boundary conditions are applied to reduce the artificial reflections from model boundaries. In this paper, the Convolutional Perfect Matched Layer (CPML) absorbing condition is derived for the trapezoid grid isotropic acoustic wave equation. Effectiveness of the CMPL is demonstrated on the numerical simulation examples.

AB - Trapezoid grid Finite Difference (FD) changes the grid size according to velocity variations. Comparing with the FD algorithm for uniform grid size decided by the minimum velocity, it is a memory-efficient wave modeling scheme due to the reduction of grid number. The area for computation is limited in size and the absorbing boundary conditions are applied to reduce the artificial reflections from model boundaries. In this paper, the Convolutional Perfect Matched Layer (CPML) absorbing condition is derived for the trapezoid grid isotropic acoustic wave equation. Effectiveness of the CMPL is demonstrated on the numerical simulation examples.

UR - https://www.scopus.com/pages/publications/85056528312

U2 - 10.1190/segam2018-2995754.1

DO - 10.1190/segam2018-2995754.1

M3 - 论文

AN - SCOPUS:85056528312

SP - 3989

EP - 3993

T2 - 88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018

Y2 - 14 October 2018 through 19 October 2018

ER -

Convolutional perfect matched layer boundary for trapezoid grid finite difference seismic modeling

Abstract

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