An efficient cascadic multigrid solver for 3-D magnetotelluric forward modelling problems using potentials
文献类型：期刊论文
| 作者 | Pan, Kejia1; Wang, Jinxuan1; Hu, Shuanggui1; Ren, Zhengyong2; Cui, Tao3; Guo, Rongwen2; Tang, Jingtian2 |
| 刊名 | GEOPHYSICAL JOURNAL INTERNATIONAL
 |
| 出版日期 | 2022-05-20 |
| 卷号 | 230期号:3页码:1834-1851 |
| ISSN号 | 0956-540X |
| 关键词 | Electrical properties Magnetotellurics Numerical modelling Numerical solutions |
| DOI | 10.1093/gji/ggac152 |
| 英文摘要 | The fast and accurate 3-D magnetotelluric (MT) forward modelling is core engine of the interpretation and inversion of MT data. In this study, we develop an improved extrapolation cascadic multigrid method (EXCMG) to solve the large sparse complex linear system arising from the finite-element (FE) discretization on non-uniform orthogonal grids of the Maxwell's equations using potentials. First, the vector Helmholtz equation and the scalar auxiliary equation are derived from the Maxwell's equations using Coulomb-gauged potentials. The weighted residual method is adopted to discretize the weak formulation and assemble the FE equation. Secondly, carefully choosing the preconditioned complex stable bi-conjugate gradient method (BiCGStab) as multigrid smoother, we develop an improved EXCMG method on non-uniform grids to solve the resulting large sparse complex non-Hermitian linear systems. Finally, several examples including three standard testing models (COMMEMI3D-1, COMMEMI3D-2 and DTM1.0) and a topographic model are used to validate the accuracy and efficiency of the proposed multigrid solver. Numerical results show that the proposed EXCMG algorithm greatly improves the efficiency of 3-D MT forward modelling, is more efficient than some existing solvers, such as Pardiso, incomplete LU factorization preconditioned biconjugate gradients stabilized method (ILU-BiCGStab) and flexible generalized minimum residual method with auxiliary space Maxwell preconditioner (FGMRES-AMS), and capable to simulate large-scale problems with more than 100 million unknowns. |
| 资助项目 | National Natural Science Foundation of China[41922027] ; Excellent Youth Foundation of Hunan Province of China[2019JJ20032] ; Fundamental Research Funds for the Central Universities of Central South University[1053320212467] ; Natural Science Foundation of China[42174171] ; High Performance Computing Center of Central South University |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| 出版者 | OXFORD UNIV PRESS |
| WOS记录号 | WOS:000798346100003 |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/61381]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Wang, Jinxuan |
| 作者单位 | 1.Cent South Univ, Sch Math & Stat, Changsha 410083, Peoples R China 2.Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, LSEC, NCMIS, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Pan, Kejia,Wang, Jinxuan,Hu, Shuanggui,et al. An efficient cascadic multigrid solver for 3-D magnetotelluric forward modelling problems using potentials[J]. GEOPHYSICAL JOURNAL INTERNATIONAL,2022,230(3):1834-1851. |
| APA | Pan, Kejia.,Wang, Jinxuan.,Hu, Shuanggui.,Ren, Zhengyong.,Cui, Tao.,...&Tang, Jingtian.(2022).An efficient cascadic multigrid solver for 3-D magnetotelluric forward modelling problems using potentials.GEOPHYSICAL JOURNAL INTERNATIONAL,230(3),1834-1851. |
| MLA | Pan, Kejia,et al."An efficient cascadic multigrid solver for 3-D magnetotelluric forward modelling problems using potentials".GEOPHYSICAL JOURNAL INTERNATIONAL 230.3(2022):1834-1851. |
入库方式： OAI收割
来源：数学与系统科学研究院
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