Institutional Repository of Key Laboratory of Petroleum Resource Research, Chinese Academy of Sciences
| 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 Publication | EXPLORATION GEOPHYSICS
 |
| ISSN | 0812-3985 |
| Pages | 12 |
| Abstract | The 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. |
| Keyword | Algorithm dispersion elastic finite difference modelling optimisation |
| DOI | 10.1080/08123985.2020.1835441 |
| Funding Organization | 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 ; 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 Keyword | APPROXIMATION |
| Language | 英语 |
| Funding Project | State Key Program of National Natural Science Foundation of China[41630319] ; National Science and Technology Major Project of China[2016ZX05024-001-001] |
| Funding Organization | 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 ; 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 Area | Geochemistry & Geophysics |
| WOS Subject | Geochemistry & Geophysics |
| WOS ID | WOS:000586391300001 |
| Publisher | TAYLOR & FRANCIS LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.iggcas.ac.cn/handle/132A11/98713 |
| Collection | 油气资源研究院重点实验室 |
| Corresponding Author | Wang, Zhiyang |
| Affiliation | 1.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. |
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