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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 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 …
principle of electromagnetic induction, in turn cause electric currents to flow in the Earth …
Computational recipes for electromagnetic inverse problems
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 …
component in all gradient-based inversion methods, including variants on Gauss-Newton …
ModEM: A modular system for inversion of electromagnetic geophysical data
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 …
electromagnetic geophysical data, referred to as ModEM. The system is constructed with a …
Global electromagnetic induction constraints on transition-zone water content variations
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 …
including lowering of the solidus, and reducing effective viscosity and seismic velocity. The …
[HTML][HTML] Physics-driven deep learning inversion with application to magnetotelluric
W Liu, H Wang, Z ** without involving
linearization theory and high prediction efficiency; the deep learning (DL) technique applied …
linearization theory and high prediction efficiency; the deep learning (DL) technique applied …
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 …
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 …
We present a multi‐resolution finite‐element approach for three‐dimensional (3D)
electromagnetic (EM) induction modeling in spherical Earth. First, the secondary electric …
electromagnetic (EM) induction modeling in spherical Earth. First, the secondary electric …
Multitype geomagnetic noise removal via an improved U-Net deep learning network
Geomagnetic data are widely used in earthquake prediction, mantle conductivity imaging,
and other fields. However, the problem of geomagnetic data being contaminated by cultural …
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 …
inversion, applying deep learning (DL) to directly inverting MT field data remains …