Improving the computational efficiency of solving multisource 3-D airborne electromagnetic problems in complex geological media

We consider aspects that can significantly increase the computational efficiency of solving multisource 3-D problems of airborne electromagnetic prospecting in complex geological media. An approach to fully automatic construction of non-conforming hexahedral finite element (FE) meshes for calculatin...

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Bibliographic Details
Published in:Computational geosciences 2021-12, Vol.25 (6), p.1957-1981
Main Authors: Persova, Marina G., Soloveichik, Yuri G., Vagin, Denis V., Kiselev, Dmitry S., Sivenkova, Anastasia P., Grif, Alexander M.
Format: Article
Language:English
Subjects:
Complex media
Computational efficiency
Computer applications
Computing costs
Computing time
Earth and Environmental Science
Earth Sciences
Efficiency
Electromagnetic exploration
Electromagnetic fields
Electromagnetism
Experiments
Fields
Geoelectricity
Geology
Geotechnical Engineering & Applied Earth Sciences
Hexahedral finite elements
Hydrogeology
Mathematical Modeling and Industrial Mathematics
Original Paper
Soil Science & Conservation
Surveying
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Summary:We consider aspects that can significantly increase the computational efficiency of solving multisource 3-D problems of airborne electromagnetic prospecting in complex geological media. An approach to fully automatic construction of non-conforming hexahedral finite element (FE) meshes for calculating electromagnetic fields is proposed. To increase the computational efficiency, a grouping of the airborne electromagnetic (AEM) system positions is used. We present the results of computational experiments for a realistic complex geoelectric model with topography, curved layers, 3-D objects of complex shape, and a fragment of a real observation system containing several thousand positions of the AEM system. Using the results of computational experiments, we have drawn conclusions about the optimal size of groups of AEM system positions using sequential and parallel environments on both one PC and six PCs connected by a local network. We also compare the computational cost of the proposed approach with those presented by other authors who use different principles for constructing meshes, as well as other discretizations in space and time. Computational experiments have shown that the proposed approach makes it possible to model electromagnetic fields in much more complex media and, at the same time, regarding the computational efficiency, our approach is superior to the approaches presented by other authors for solving the multisource airborne electromagnetic survey problems.
ISSN:1420-0597
1573-1499
DOI:10.1007/s10596-021-10095-6