3D Magnetotelluric Modeling Using High-Order Tetrahedral Nédélec Elements on Massively Parallel Computing Platforms
Publisher:
ELSEVIER BV
Issued date:
2022-03
Citation:
Castillo-Reyes, O., Modesto, D., Queralt, P., Marcuello, A., Ledo, J., Amor-Martin, A., de la Puente, J., & García-Castillo, L. E. (2022). 3D magnetotelluric modeling using high-order tetrahedral Nédélec elements on massively parallel computing platforms. In Computers & Geosciences, 160, 105030-105042
ISSN:
0098-3004
xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
European Commission
Ministerio de Ciencia e Innovación (España)
Sponsor:
This project has been 65% cofinanced by the European Regional
Development Fund (ERDF) through the Interreg V-A Spain–France–
Andorra program (POCTEFA2014-2020). POCTEFA aims to reinforce
the economic and social integration of the French–Spanish–Andorran
border. Its support is focused on developing economic, social and
environmental cross-border activities through joint strategies favoring
sustainable territorial development. BSC authors received funding
from the European Union’s Horizon 2020 programme, grant agreement
N◦828947 and N◦777778, and from the Mexican Department of Energy,
CONACYT-SENER Hidrocarburos grant agreement N◦B-S-69926.
Project:
Gobierno de España. POCTEFA2014-2020
info:eu-repo/grantAgreement/EC/H2020/828947
info:eu-repo/grantAgreement/EC/H2020/777778
Keywords:
Magnetotelluric method
,
Geophysical electromagnetics
,
Numerical solutions
,
High-order edge finite element
,
High-performance computing
Rights:
© 2022 The Author(s). Published by Elsevier Ltd.
Atribución 3.0 España
Abstract:
We present a routine for 3D magnetotelluric (MT) modeling based upon high-order edge finite element method (HEFEM), tailored and unstructured tetrahedral meshes, and high-performance computing (HPC). This implementation extends the PETGEM modeller capabilities
We present a routine for 3D magnetotelluric (MT) modeling based upon high-order edge finite element method (HEFEM), tailored and unstructured tetrahedral meshes, and high-performance computing (HPC). This implementation extends the PETGEM modeller capabilities, initially developed for active-source electromagnetic methods in frequency-domain. We assess the accuracy, robustness, and performance of the code using a set of reference models developed by the MT community in well-known reported workshops. The scale and geological properties of these 3D MT setups are challenging, making them ideal for addressing a rigorous validation. Our numerical assessment proves that this new algorithm can produce the expected solutions for arbitrarily 3D MT models. Also, our extensive experimental results reveal four main insights: (1) high-order discretizations in conjunction with tailored meshes can offer excellent accuracy; (2) a rigorous mesh design based on the skin-depth principle can be beneficial for the solution of the 3D MT problem in terms of numerical accuracy and run-time; (3) high-order polynomial basis functions achieve better speed-up and parallel efficiency ratios than low-order polynomial basis functions on cutting-edge HPC platforms; (4) a triple helix approach based on HEFEM, tailored meshes, and HPC can be extremely competitive for the solution of realistic and complex 3D MT models and geophysical electromagnetics in general.
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