NARA Discovery
Article Details
← Back to Search Results
Journal Article

Iterative solution methods for 3D controlled-source electromagnetic forward modelling of geophysical exploration scenarios

Michael Weiss; Maya Neytcheva; Thomas Kalscheuer
Computational Geosciences · Vol. 27, Issue 1 · pp. 81-102 · 2023

Abstract

We develop an efficient and robust iterative framework suitable for solving the linear system of equations resulting from the spectral element discretisation of the curl-curl equation of the total electric field encountered in geophysical controlled-source electromagnetic applications. We use the real-valued equivalent form of the original complex-valued system and solve this arising real-valued two-by-two block system (outer system) using the generalised conjugate residual method preconditioned with a highly efficient block-based PREconditioner for Square Blocks (PRESB). Applying this preconditioner equates to solving two smaller inner symmetric systems which are either solved using a direct solver or iterative methods, namely the generalised conjugate residual or the flexible generalised minimal residual methods preconditioned with the multigrid-based auxiliary-space preconditioner AMS. Our numerical experiments demonstrate the robustness of the outer solver with respect to spatially variable material parameters, for a wide frequency range of five orders of magnitude (0.1-10’000 Hz), with respect to the number of degrees of freedom, and for stretched structured and unstructured as well as locally refined meshes. For all the models considered, the outer solver reaches convergence in a small (typically < 20) number of iterations. Further, our numerical tests clearly show that solving the two inner systems iteratively using the indicated preconditioned iterative methods is computationally beneficial in terms of memory requirement and time spent as compared to a direct solver. On top of that, our iterative framework works for large-scale problems where direct solvers applied to the original complex-valued systems succumb due to their excessive memory consumption, thus making the iterative framework better suited for large-scale 3D problems. Comparison to a similar iterative framework based on a block-diagonal and the auxiliary-space preconditioners reveals that the PRESB preconditioner requires slightly fewer iterations to converge yielding a certain gain in time spent to obtain the solution of the two-by-two block system.

Bibliographic Information

JournalComputational Geosciences
PublisherSpringer
Publication Date2023-02-01
Publication Year2023
Volume27
Issue1
Pages81-102
Document TypeJournal Article
Print ISSN1420-0597
eISSN1573-1499
DOI10.1007/s10596-022-10182-2

Access Information

NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://www.springer.com/journal/10596
Publisher PageOpen Publisher Page
Full-text access depends on NARA's subscribed coverage and institutional access.