Review on airborne EM technology and developments

CC YIN, B ZHANG, YH LIU, XY REN, YF QI… - Chinese Journal of …, 2015 - en.dzkx.org
As an effective and efficient geophysical tool, airborne EM (AEM) is specifically suitable for
the exploration in areas of high mountains, desert, swamp, and forest. With the development …

The role of global/regional earth conductivity models in natural geomagnetic hazard mitigation

A Kelbert - Surveys in Geophysics, 2020 - Springer
Geomagnetic disturbances cause perturbations in the Earth's magnetic field which, by the
principle of electromagnetic induction, in turn cause electric currents to flow in the Earth …

Computational recipes for electromagnetic inverse problems

GD Egbert, A Kelbert - Geophysical Journal International, 2012 - academic.oup.com
The Jacobian of the non-linear map** from model parameters to observations is a key
component in all gradient-based inversion methods, including variants on Gauss-Newton …

ModEM: A modular system for inversion of electromagnetic geophysical data

A Kelbert, N Meqbel, GD Egbert, K Tandon - Computers & Geosciences, 2014 - Elsevier
We describe implementation of a modular system of computer codes for inversion of
electromagnetic geophysical data, referred to as ModEM. The system is constructed with a …

Global electromagnetic induction constraints on transition-zone water content variations

A Kelbert, A Schultz, G Egbert - Nature, 2009 - nature.com
Small amounts of water can significantly affect the physical properties of mantle materials,
including lowering of the solidus, and reducing effective viscosity and seismic velocity. The …

Three-dimensional magnetotelluric inversion: an introductory guide for developers and users

W Siripunvaraporn - Surveys in geophysics, 2012 - Springer
In the last few decades, the demand for three-dimensional (3-D) inversions for
magnetotelluric data has significantly driven the progress of 3-D codes. There are currently a …

A multi‐resolution finite‐element approach for global electromagnetic induction modeling with application to Southeast China coastal geomagnetic observatory …

H Yao, Z Ren, J Tang, K Zhang - Journal of Geophysical …, 2022 - Wiley Online Library
We present a multi‐resolution finite‐element approach for three‐dimensional (3D)
electromagnetic (EM) induction modeling in spherical Earth. First, the secondary electric …

Multitype geomagnetic noise removal via an improved U-Net deep learning network

G Li, X Zhou, C Chen, L Xu, F Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Geomagnetic data are widely used in earthquake prediction, mantle conductivity imaging,
and other fields. However, the problem of geomagnetic data being contaminated by cultural …

Smooth deep learning magnetotelluric inversion based on physics-informed Swin transformer and multiwindow Savitzky–Golay filter

W Liu, H Wang, Z **, R Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Despite exhibiting excellent inversion results for synthetic data in magnetotelluric (MT)
inversion, applying deep learning (DL) to directly inverting MT field data remains …