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3-D Inversion of Airborne Electromagnetic Method Based on Footprint-Guided CFEM Modeling

Authors :
Deshan Feng
Rong Liu
Rongwen Guo
Source :
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Publication Year :
2022
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2022.

Abstract

We investigate an algorithm for the 3-D inversion of frequency-domain airborne electromagnetic (AEM) data based on the forward modeling and sensitivity calculation by footprint-guided compact finite element method (CFEM). Unlike the conventional approach, the modeling volume in our algorithm for each transmitter-receiver pair is a regular hexahedral that encloses the footprint, rather than a large mesh for the entire survey area or the local mesh with a number of grids extending from the footprint. After the electric fields in the modeling volume are solved by vector finite element method (FEM) with an integral equation boundary condition, the response and sensitivity are explicitly calculated by employing the product of the prepared Green's functions and the vector of electric fields. The accuracy of this footprint-guided CFEM is validated by comparing it against conventional CFEM, and different synthetic models are tested by our inversion algorithm. The inversion tests of synthetic models show the feasibility of the combination of footprint-guided CFEM and Gauss-Newton optimization in recovering models within an acceptable error level, and the inversion results show a good agreement with the true models on both the model geometry and recovered conductivity.

Details

ISSN :
15580571 and 1545598X
Volume :
19
Database :
OpenAIRE
Journal :
IEEE Geoscience and Remote Sensing Letters
Accession number :
edsair.doi...........fc6d0243936b80a21a6ce513fb7a9611