Spectral-element method with arbitrary hexahedron meshes for time-domain 3D airborne electromagnetic forward modeling
Spectral-element method with arbitrary hexahedron meshes for time-domain 3D airborne electromagnetic forward modeling
复制标题
用于时域 3D 机载电磁正演建模的任意六面体网格谱元法
DOI:
10.1190/geo2018-0231.1
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发表时间:
2019-01
期刊:
影响因子:
3.3
通讯作者:
Cai Jing
中科院分区:
文献类型:
--
作者:
Huang Xin;Yin Changchun;Farquharson Colin G.;Cao Xiaoyue;Zhang Bo;Huang Wei;Cai Jing
Mainstream numerical methods for 3D time-domain airborne electromagnetic (AEM) modeling, such as the finite-difference (FDTD) or finite-element (FETD) methods, are quite mature. However, these methods have limitations in terms of their ability to handle complex geologic structures and their dependence on quality meshing of the earth model. We have developed a time-domain spectral-element (SETD) method based on the mixed-order spectral-element (SE) approach for space discretization and the backward Euler (BE) approach for time discretization. The mixed-order SE approach can contribute an accurate result by increasing the order of polynomials and suppress spurious solutions. The BE method is an unconditionally stable technique without limitations on time steps. To deal with the rapid variation of the fields close to the AEM transmitting loop, we separate a secondary field from the primary field and simulate the secondary field only, for which the primary field is calculated in advance. To obtain a block diagonal mass matrix and hence minimize the number of nonzero elements in the system of equations to be solved, we apply Gauss-Lobatto-Legendre integral techniques of reduced order. A direct solver is then adopted for the system of equations, which allows for efficient treatment of the multiple AEM sources. To check the accuracy of our SETD algorithm, we compare our results with the semianalytical solution for a layered earth model. Then, we analyze the modeling accuracy and efficiency for different 3D models using deformed physical meshes and compare them against results from 3D FETD codes, to further show the flexibility of SETD for AEM forward modeling.
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影响因子:
2.8
作者:
C. Schwarzbach;Ralph-Uwe Börner;K. Spitzer
通讯作者:
C. Schwarzbach;Ralph-Uwe Börner;K. Spitzer
DOI:
10.1109/tmtt.2005.860502
发表时间:
2006-01
影响因子:
4.3
作者:
Joon-Ho Lee;Tian Xiao;Qing Huo Liu
通讯作者:
Joon-Ho Lee;Tian Xiao;Qing Huo Liu
DOI:
10.4208/cicp.230113.140814a
发表时间:
2015-01
影响因子:
4.3
作者:
Liu Na;Eduardo Tobon Luis;Zhao Yanmin;Tang Yifa;Liu Qing Huo
通讯作者:
Liu Qing Huo
DOI:
10.1007/s11430-007-6016-z
发表时间:
2007
期刊:
Science in China Series D: Earth Sciences
影响因子:
--
作者:
Bolin Wu;Chiyang Liu;Jianqiang Wang
通讯作者:
Bolin Wu;Chiyang Liu;Jianqiang Wang
影响因子:
3.3
作者:
D. Oldenburg;E. Haber;R. Shekhtman
通讯作者:
D. Oldenburg;E. Haber;R. Shekhtman