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Large-scale 3D geoelectromagnetic modeling using parallel adaptive high-order finite element method

Journal Article · · Geophysics
 [1];  [2]
  1. ETH Zurich, Zurich (Switzerland)
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Here, we have investigated the use of the adaptive high-order finite-element method (FEM) for geoelectromagnetic modeling. Because high-order FEM is challenging from the numerical and computational points of view, most published finite-element studies in geoelectromagnetics use the lowest order formulation. Solution of the resulting large system of linear equations poses the main practical challenge. We have developed a fully parallel and distributed robust and scalable linear solver based on the optimal block-diagonal and auxiliary space preconditioners. The solver was found to be efficient for high finite element orders, unstructured and nonconforming locally refined meshes, a wide range of frequencies, large conductivity contrasts, and number of degrees of freedom (DoFs). Furthermore, the presented linear solver is in essence algebraic; i.e., it acts on the matrix-vector level and thus requires no information about the discretization, boundary conditions, or physical source used, making it readily efficient for a wide range of electromagnetic modeling problems. To get accurate solutions at reduced computational cost, we have also implemented goal-oriented adaptive mesh refinement. The numerical tests indicated that if highly accurate modeling results were required, the high-order FEM in combination with the goal-oriented local mesh refinement required less computational time and DoFs than the lowest order adaptive FEM.
Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
1440727
Report Number(s):
LLNL-JRNL--665742; 787283
Journal Information:
Geophysics, Journal Name: Geophysics Journal Issue: 6 Vol. 80; ISSN 0016-8033
Publisher:
Society of Exploration GeophysicistsCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (14)

High-Performance Parallel Solver for Integral Equations of Electromagnetics Based on Galerkin Method journal March 2017
Time‐Domain Modeling of Three‐Dimensional Earth's and Planetary Electromagnetic Induction Effect in Ground and Satellite Observations journal March 2021
Uncertainty and Resolution Analysis of 2D and 3D Inversion Models Computed from Geophysical Electromagnetic Data journal September 2019
Edge-based finite-element modeling of 3D frequency-domain electromagnetic data in general dispersive medium journal February 2019
3D frequency-domain airborne EM forward modelling using spectral element method with Gauss–Lobatto–Chebyshev polynomials journal June 2019
Exact solutions of the vertical gravitational anomaly for a polyhedral prism with vertical polynomial density contrast of arbitrary orders journal June 2018
Topographic distortions of magnetotelluric transfer functions: a high-resolution 3-D modelling study using real elevation data journal September 2018
Parallel 3-D marine controlled-source electromagnetic modelling using high-order tetrahedral Nédélec elements journal June 2019
On the forward modelling of three-dimensional magnetotelluric data using a radial-basis-function-based mesh-free method journal July 2019
Electromagnetic modelling with topography on regular grids with equivalent materials journal December 2019
Joint 3D inversion of multiple electromagnetic datasets: Joint 3D inversion of multiple EM datasets journal October 2015
Tippers at island geomagnetic observatories constrain electrical conductivity of oceanic lithosphere and upper mantle journal February 2019
Multi-order vector finite element modeling of 3D magnetotelluric data including complex geometry and anisotropy journal August 2019
Topographic distortions of magnetotelluric transfer functions: a high-resolution 3-D modelling study using real elevation data text January 2018

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