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Conference object . 2023
License: CC BY NC ND
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Article . 2023
License: CC BY NC ND
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY NC ND
Data sources: Datacite
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Airborne magnetics as structural guide in the 3D inversion of Airborne EM data

Authors: Carsten Scholl; Stephen Hallinan; Marianne Parsons; Tom Kimura;

Airborne magnetics as structural guide in the 3D inversion of Airborne EM data

Abstract

Airborne Magnetics and Electromagnetics surveys are widely used in mineral resource exploration. Beyond the sensitivity of both to certain mineral deposits, magnetics serves as a useful proxy for geological structure. We extend our previous work on cross -gradient, structurally-guided 3D EM inversions to use two dimensional gradients derived from pre-processed magnetic grids as a structural guide in inversions of AEM data sets We compare 3D resistivity inversion results obtained with this structural guiding approach to those without, for AEM data recorded in a survey in New Brunswick, Canada. This structurally-guided 3D inversion method using magnetics data is generic and can be applied to inversion of other geophysics data such as ground electromagnetics, etc.

Open-Access Online Publication: November 1, 2023

Keywords

3D inversion, magnetics, AEM, joint inversion, structural constraint.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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