Electromagnetic modeling using adaptive grids–Error estimation and geometry representation
K Spitzer - Surveys in Geophysics, 2024 - Springer
This review paper addresses the development of numerical modeling of electromagnetic
fields in geophysics with a focus on recent finite element simulation. It discusses ways of …
fields in geophysics with a focus on recent finite element simulation. It discusses ways of …
A divergence-free vector finite-element method for efficient 3D magnetotelluric forward modeling
For large-scale magnetotelluric (MT) forward modeling using vector finite-element methods,
iterative solvers are commonly applied. However, as frequency decreases close to zero, the …
iterative solvers are commonly applied. However, as frequency decreases close to zero, the …
3-D induction log modelling with integral equation method and domain decomposition pre-conditioning
DH Saputera, M Jakobsen… - Geophysical Journal …, 2024 - academic.oup.com
The deployment of electromagnetic (EM) induction tools while drilling is one of the standard
routines for assisting the geosteering decision-making process. The conductivity distribution …
routines for assisting the geosteering decision-making process. The conductivity distribution …
Constraining the crustal and mantle conductivity structures beneath islands by a joint inversion of multi‐source magnetic transfer functions
C Chen, A Kuvshinov, M Kruglyakov… - Journal of …, 2023 - Wiley Online Library
In this study, we present a tool to simultaneously invert multi‐source magnetic transfer
functions (TFs), including tippers, solar global‐to‐local TFs originating from the signals due …
functions (TFs), including tippers, solar global‐to‐local TFs originating from the signals due …
A robust and scalable multigrid solver for 3-D low-frequency electromagnetic diffusion problems
Y Wang, J Liu, R Guo, K Pan, G Yang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Multigrid (MG) solvers, typically increasing the computational time linearly with the grid size,
are suitable for large-scale forward modeling problems. However, for electromagnetic (EM) …
are suitable for large-scale forward modeling problems. However, for electromagnetic (EM) …
An efficient algebraic multi-resolution sampling approach to 3-D magnetotelluric modelling
J Li, R Guo, J Liu, Y Wang… - Geophysical Journal …, 2023 - academic.oup.com
Since electromagnetic (EM) fields diffuse more smoothly to greater depth, it physically
makes sense to apply fine discretization to model structure at near surface with an …
makes sense to apply fine discretization to model structure at near surface with an …
Modelling tippers on a sphere
M Kruglyakov, A Kuvshinov - Geophysical Journal International, 2022 - academic.oup.com
In the past three decades, an immense amount of magnetic field data (with periods of
measurements from months to years) has been collected worldwide, either inland or at the …
measurements from months to years) has been collected worldwide, either inland or at the …
An efficient EM modeling scheme for large 3-D models—a magnetotelluric case study
We present an efficient scheme for computing 3-D magnetotelluric (MT) forward responses.
The scheme is especially valuable for large models resulting from fine discretization or the …
The scheme is especially valuable for large models resulting from fine discretization or the …
Hybrid meshless-FEM method for 3D magnetotelluric modeling using non-conformal discretization
J Cao, Y Liu, C Yin, H Wang, Y Su… - Geophysical Journal …, 2024 - academic.oup.com
We propose a novel method for three-dimensional (3D) magnetotelluric (MT) forward
modeling based on hybrid meshless and finite-element (FE) methods. This method divides …
modeling based on hybrid meshless and finite-element (FE) methods. This method divides …
Divergence-Free: A Crucial Strategy to Speed Up the Convergence of a Multigrid Solver for 3D Natural Source Electromagnetic Modeling
R Guo, M Yu, Y Wang, J Liu, AA Abiodun… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
The multigrid (MG) method has been widely used for large-scale electromagnetic (EM)
forward modeling, primarily due to its linear dependence between computational time and …
forward modeling, primarily due to its linear dependence between computational time and …