Three-dimensional forward modeling of DC resistivity using the aggregation-based algebraic multigrid method
Chen Hui1,2,3, Deng Ju-Zhi1,3, Yin Min1,3, Yin Chang-Chun2, and Tang Wen-Wu1,3
1. Key Laboratory for Radioactive Geology and Exploration Technology, Fundamental Science for National Defense, East China University of Technology, Nanchang 330013, China.
2. Geo-Exploration Science and Technology Institute, Jilin University, Changchun 130026, China.
3. School of Geophysics and Measurement-control Technology, East China University of Technology, Nanchang 330013, China.
Abstract To speed up three-dimensional (3D) DC resistivity modeling, we present a new multigrid method, the aggregation-based algebraic multigrid method (AGMG). We first discretize the differential equation of the secondary potential field with mixed boundary conditions by using a seven-point finite-difference method to obtain a large sparse system of linear equations. Then, we introduce the theory behind the pairwise aggregation algorithms for AGMG and use the conjugate-gradient method with the V-cycle AGMG preconditioner (AGMG-CG) to solve the linear equations. We use typical geoelectrical models to test the proposed AGMG-CG method and compare the results with analytical solutions and the 3DDCXH algorithm for 3D DC modeling (3DDCXH). In addition, we apply the AGMG-CG method to different grid sizes and geoelectrical models and compare it to different iterative methods, such as ILU-BICGSTAB, ILU-GCR, and SSOR-CG. The AGMG-CG method yields nearly linearly decreasing errors, whereas the number of iterations increases slowly with increasing grid size. The AGMG-CG method is precise and converges fast, and thus can improve the computational efficiency in forward modeling of three-dimensional DC resistivity.
This study work was financially supported by the Natural Science Foundation of China (Nos. 41404057, 41674077 and 411640034), the Nuclear Energy Development Project of China, and the ‘555’ Project of GanPo Excellent People.
Cite this article:
. Three-dimensional forward modeling of DC resistivity using the aggregation-based algebraic multigrid method[J]. APPLIED GEOPHYSICS, 2017, 14(1): 154-164.
[1]
Aruliah, D. A., and Ascher, U. M., 2002, Multigrid preconditioning for krylov methods for time-harmonic maxwell’s equations in three dimensions: SIAM Journal on Scientific Computing, 24(2), 702−718.
[2]
Commer, M., Maia, F. R., and Newman, G. A., 2011, Iterative Krylov solution methods for geophysical electromagnetic simulations on throughput-oriented processing units: International Journal of High Performance Computing Applications, 26(4), 378−385.
[3]
Dahlin, T., 2001, The development of DC resistivity imaging techniques: Computers & Geosciences, 27(9), 1019−1029.
[4]
Ellis, R., and Oldenburg, D., 1994, The pole-pole 3-D Dc-resistivity inverse problem: a conjugategradient approach: Geophysical Journal International, 119(1), 187−194.
[5]
Günther, T., Rücker, C., and Spitzer, K., 2006, Three-dimensional modeling and inversion of DC resistivity data incorporating topography—II. Inversion: Geophysical Journal International, 166(2), 506−517.
[6]
Lee, T., 1975, An integral equation and its solution for some two-and three-dimensional problems in resistivity and induced polarization: Geophysical Journal of the Royal Astronomical Society, 42(1), 81−95.
[7]
Li, Y., and Oldenburg, D. W., 1994, Inversion of 3-D DC resistivity data using an approximate inverse mapping: Geophysical Journal International, 116(3), 527−537.
[8]
Li, Y., and Oldenburg, D. W., 2000, 3-D inversion of induced polarization data: Geophysics, 65(6), 1931−1945.
[9]
Li, Y., and Spitzer, K., 2002, Three-dimensional DC resistivity forward modeling using finite elements in comparison with finite-difference solutions: Geophysical Journal International, 151(3), 924−934.
[10]
Loke, M. H., Chambers, J. E., Rucker, D. F., Kuras, O., and Wilkinson, P. B., 2013, Recent developments in the direct-current geoelectrical imaging method: Journal of Applied Geophysics, 95, 135−156.
[11]
Lu, J., Wu, X., and Spitzer, K., 2010, Algebraic multigrid method for 3D DC resistivity modeling: Chinese Journal of Geophysics, 53(3), 700−707.
[12]
Ma, Q., 2002, The boundary element method for 3-D dc resistivity modeling in layered earth: Geophysics, 67(2), 610−617.
[13]
Mirgalikyzy, T., Mukanova, B., and Modin, I., 2015, Method of integral equations for the problem of electrical tomography in a medium with ground surface relief: Journal of Applied Mathematics, 2015, 1−10.
[14]
Moucha, R., and Bailey, R. C., 2004, An accurate and robust multigrid algorithm for 2D forward resistivity modeling: Geophysical Prospecting, 52(3), 197−212.
[15]
Mulder, W., 2008, Geophysical modelling of 3D electromagnetic diffusion with multigrid: Computing and Visualization in Science, 11(3), 129−138.
[16]
Newman, G. A., 2013, A review of high-performance computational strategies for modeling and imaging of electromagnetic induction data: Surveys in Geophysics, 35(1), 85−100.
[17]
Notay, Y., 2010, An aggregation-based algebraic multigrid method: Electronic Transactions on Numerical Analysis, 37(6), 123−146.
[18]
Notay, Y., 2012, Aggregation-based algebraic multigrid for convection-diffusion equations: Siam Journal on Scientific Computing, 34(4), A2288−A2316.
[19]
Notay, Y., and Napov, A., 2015, A massively parallel solver for discrete Poisson-like problems: Journal of Computational Physics, 281, 237−250.
[20]
Pan, K., and Tang, J., 2014, 2.5-D and 3-D DC resistivity modeling using an extrapolation cascadic multigrid method: Geophysical Journal International, 197(3), 1459−1470.
[21]
Pidlisecky, A., Haber, E., and Knight, R., 2007, RESINVM3D: A 3D resistivity inversion package: Geophysics, 72(2), H1−H10.
Puzyrev, V., Koric, S., and Wilkin, S., 2016, Evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems: Computers & Geosciences, 89, 79−87.
[24]
Qiang, J. K., Shen, P., and Luo, Y. Z., 2007, The resistivity FEM numerical modeling on 3-D undulating topography: Chinese Journal of Geophysics, 50(5), 1378−1386.
[25]
Ren, Z., and Tang, J., 2010, 3D direct current resistivity modeling with unstructured mesh by adaptive finite-element method: Geophysics, 75(1), H7−H17.
[26]
Ren, Z., and Tang, J., 2014, A goal-oriented adaptive finite-element approach for multi-electrode resistivity system: Geophysical Journal International, 199(1), 136−145.
[27]
Rücker, C., Günther, T., and Spitzer, K., 2006, Three-dimensional modeling and inversion of DC resistivity data incorporating topography—I. Modeling: Geophysical Journal International, 166(2), 495−505.
[28]
Santarato, G., Ranieri, G., Occhi, M., Morelli, G., Fischanger, F., and Gualerzi, D., 2011, Three-dimensional Electrical Resistivity Tomography to control the injection of expanding resins for the treatment and stabilization of foundation soils: Engineering Geology, 119(2), 18−30.
[29]
Spitzer, K., 1995, A 3-D finite-difference algorithm for DC resistivity modeling using conjugate gradient methods: Geophysical Journal International, 123(3), 903−914.
[30]
Stüben, K., 2001, A review of algebraic multigrid: Journal of Computational and Applied Mathematics, 128(2), 281−309.
[31]
Tang, J. T., Wang, F. Y., Ren, Z. Y., and Guo, R., W., 2010, 3-D direct current resistivity forward modeling by adaptive multigrid finite element method: Journal of Central South University of Technology, 17, 587−592.
[32]
Trottenberg, U., and Clees, T., 2009, Multigrid software for industrial applications-from MG00 to SAMG: 100 Volumes of ‘Notes on Numerical Fluid Mechanics’, Springer, 423−436.
[33]
Um, E. S., Commer, M., and Newman, G. A., 2013, Efficient pre-conditioned iterative solution strategies for the electromagnetic diffusion in the Earth: finite-element frequency-domain approach: Geophysical Journal International, 193(3), 1460−1473.
[34]
Vaněk, P., Mandel, J., and Brezina, M., 1996, Algebraic multigrid by smoothed aggregation for second and fourth order elliptic problems: Computing, 56(3), 179−196,
[35]
Wilson, J. D., and Naff, R. L., 2009, Multigrid preconditioned conjugate-gradient solver for mixed finite-element method: Computational Geosciences, 14(2), 289−299.
[36]
Ye, Y., Hu X., and Xu, D., 2015, A goal-oriented adaptive finite element method for 3D resistivity modeling using dual-error weighting approach, Journal of Earth Science: 26(6), 821−826.
[37]
Zhang, Y. W., Yan, J. Y., Zhang, K., Zhang, Y. Q., and Shao, L. S., 2015, Review of distributed 3D DC/IP method: Progress in Geophysics, 30(4), 1959−1970.
[38]
Zhao, S., and Yedlin, M. J., 1996, Some refinements on the finite-difference method for 3-D dc resistivity modeling: Geophysics, 61(5), 1301−1307.
[39]
Zhou, B., and Greenhalgh, S. A., 2001, Finite element three-dimensional direct current resistivity modeling: accuracy and efficiency considerations: Geophysical Journal International, 145(3), 679−688.