Fast 3-D Controlled-Source Electromagnetic Modeling Combining UPML and Rational Krylov Method

被引：0

作者：

Liu, Jiren ^{[1
,2
]}

Xiao, Xiao ^{[1
,2
]}

Tang, Jingtian ^{[1
,2
]}

Ren, Zhengyong ^{[1
,2
]}

Huang, Xiangyu ^{[1
,2
]}

Zhang, Jifeng ^{[3
]}

机构：

[1] Cent South Univ, Sch Geosci & Info Phys, Key Lab Metallogen Predict Nonferrous Met & Geol, Minist Educ, Changsha 410083, Peoples R China

[2] Cent South Univ, Hunan Key Lab Nonferrous Resources & Geol Hazards, Changsha 410083, Peoples R China

[3] Changan Univ, Sch Geol Engn & Geomat, Xian 710061, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2022年 / 19卷

基金：

中国国家自然科学基金;

关键词：

Mathematical models; Three-dimensional displays; Solid modeling; Sparse matrices; Electromagnetics; Numerical models; Measurement; Controlled-source electromagnetic (CSEM) method; forward modeling; rational Krylov (RK) method; uniaxial perfectly matched layer (UPML); FINITE-ELEMENT; TIME; ALGORITHM; INVERSION; CSEM; REDUCTION; EQUATIONS; GPR;

D O I：

10.1109/LGRS.2022.3162695

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Controlled-source electromagnetic (CSEM) surveying is a critical tool for sensing and locating underground anomalies and structures. In this letter, based on uniaxial perfectly matched layer (UPML) and rational Krylov (RK) method, we propose a fast algorithm for 3-D Multifrequency CSEM modeling. We use the frequency-independent UPML to truncate the boundaries and adopt an RK method to rapidly solve the 3-D multifrequency CSEM problems. The accuracy and efficiency of our algorithm are verified by two examples, i.e., a two-layer model and a 3-D model. Numerical experiments indicate that our algorithm is computationally efficient, obtaining nearly 20-fold speedup on a laptop compared with the conventional 3-D CSEM using finite element method (3DCSEM) modeling.

引用

页数：5

共 33 条

[1] 3D finite-element forward modeling of electromagnetic data using vector and scalar potentials and unstructured grids [J].

Ansari, Seyedmasoud ;

Farquharson, Colin G. .

GEOPHYSICS, 2014, 79 (04) :E149-E165

[2]

Bindel DS, 2006, LECT NOTES COMPUT SC, V3732, P286

[3] Three-dimensional transient electromagnetic modelling using Rational Krylov methods [J].

Boerner, Ralph-Uwe ;

Ernst, Oliver G. ;

Guettel, Stefan .

GEOPHYSICAL JOURNAL INTERNATIONAL, 2015, 202 (03) :2025-2043

[4]

Castillo-Reyes O., 2022, IEEE T GEOSCIENCE RE, V60, P1, DOI [10.1109/TGRS.2021.3069042, DOI 10.1109/TGRS.2021.3069042]

[5] And the geophysicist replied: "Which model do you want?" [J].

Constable, Steven ;

Orange, Arnold ;

Key, Kerry .

GEOPHYSICS, 2015, 80 (03) :E197-E212

[6] 3D marine magnetotelluric modeling and inversion with the finite-difference time-domain method [J].

de Ryhove, Sebastien de la Kethulle ;

Mittet, Rune .

GEOPHYSICS, 2014, 79 (06) :E269-E286

[7] SPECTRAL APPROACH TO SOLVING 3-DIMENSIONAL MAXWELL DIFFUSION-EQUATIONS IN THE TIME AND FREQUENCY DOMAINS [J].

DRUSKIN, V ;

KNIZHERMAN, L .

RADIO SCIENCE, 1994, 29 (04) :937-953

[8] A KRYLOV STABILITY-CORRECTED COORDINATE-STRETCHING METHOD TO SIMULATE WAVE PROPAGATION IN UNBOUNDED DOMAINS [J].

Druskin, Vladimir ;

Remis, Rob .

SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2013, 35 (02) :B376-B400

[9] Specific evaluation of tunnel lining multi-defects by all-refined GPR simulation method using hybrid algorithm of FETD and FDTD [J].

Feng, Deshan ;

Wang, Xun ;

Zhang, Bin .

CONSTRUCTION AND BUILDING MATERIALS, 2018, 185 :220-229

[10] Time-Reversal Ground-Penetrating Radar: Range Estimation With Cramer-Rao Lower Bounds [J].

Foroozan, Foroohar ;

Asif, Amir .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (10) :3698-3708

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