IGGCAS OpenIR  > 油气资源研究院重点实验室
Optimisation of the finite-difference scheme based on an improved PSO algorithm for elastic modelling
Bai, Wenlei1; Wang, Zhiyang1; Liu, Hong2,3; Yu, Duli1; Chen, Chaopu1; Zhu, Mengquan1
2020-10-21
Source PublicationEXPLORATION GEOPHYSICS
ISSN0812-3985
Pages12
AbstractThe finite-difference (FD) scheme is extensively applied in seismic modelling, imaging and inversion due to its advantages of large-scale parallel computing and programming. However, numerical dispersion caused by using a difference operator in substitution for the differential operator is non-negligible, which reduces the accuracy of the modelling and can lead to some misinterpretations. In addition, the computing resources required by the FD scheme is highly demanding when dealing with large models, which limits its applicability. In this paper, a new optimised FD scheme is proposed, which is based on an improved particle swarm optimisation (PSO) algorithm. We improve the conventional PSO algorithm by introducing strategies related to local learning and global learning, which contribute to accelerating the convergence rate and effectively avoiding getting trapped in local extrema. Then, the improved PSO algorithm is used to improve the conventional FD scheme. Dispersion analysis and numerical modelling demonstrate that the low-order optimised FD scheme can achieve higher accuracy than a high-order conventional operator. Compared with the conventional FD scheme and a FD scheme based on the Remez exchange algorithm, the optimised FD scheme based on the improved PSO algorithm can more efficiently suppress numerical dispersion and increase computational efficiency.
KeywordAlgorithm dispersion elastic finite difference modelling optimisation
DOI10.1080/08123985.2020.1835441
Funding OrganizationState Key Program of National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; State Key Program of National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; State Key Program of National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; State Key Program of National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China
WOS KeywordAPPROXIMATION
Language英语
Funding ProjectState Key Program of National Natural Science Foundation of China[41630319] ; National Science and Technology Major Project of China[2016ZX05024-001-001]
Funding OrganizationState Key Program of National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; State Key Program of National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; State Key Program of National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; State Key Program of National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China
WOS Research AreaGeochemistry & Geophysics
WOS SubjectGeochemistry & Geophysics
WOS IDWOS:000586391300001
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/98713
Collection油气资源研究院重点实验室
Corresponding AuthorWang, Zhiyang
Affiliation1.Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Bai, Wenlei,Wang, Zhiyang,Liu, Hong,et al. Optimisation of the finite-difference scheme based on an improved PSO algorithm for elastic modelling[J]. EXPLORATION GEOPHYSICS,2020:12.
APA Bai, Wenlei,Wang, Zhiyang,Liu, Hong,Yu, Duli,Chen, Chaopu,&Zhu, Mengquan.(2020).Optimisation of the finite-difference scheme based on an improved PSO algorithm for elastic modelling.EXPLORATION GEOPHYSICS,12.
MLA Bai, Wenlei,et al."Optimisation of the finite-difference scheme based on an improved PSO algorithm for elastic modelling".EXPLORATION GEOPHYSICS (2020):12.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Bai, Wenlei]'s Articles
[Wang, Zhiyang]'s Articles
[Liu, Hong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Bai, Wenlei]'s Articles
[Wang, Zhiyang]'s Articles
[Liu, Hong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Bai, Wenlei]'s Articles
[Wang, Zhiyang]'s Articles
[Liu, Hong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit Add to Technorati
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.