88229 20210125144518.0 doi 10.1029/2018RS006692 sideral 114073 ART-2019-114073 eng (orcid)0000-0003-2905-9949 Ayuso, Natalia Universidad de Zaragoza A Computational Channel Model for Magnetic Induction-Based Subsurface Applications 2019 Access copy available to the general public Unrestricted There are many underground applications based on magnetic fields generated by an oscillating magnetic source. For them, a magnetic dipole in a three-layered region with upper semi-infinite air layer can be a convenient idealization used for their planning, development, and operation. Solutions are in the form of the well-known Sommerfeld integral expressions that can be evaluated by numerical methods. A set of field expressions to be numerically evaluated by an efficient algorithm are not collected comprehensively yet, or at least in a directly usable form. In this paper, the explicit magnetic field solutions for the vertical magnetic dipole and the horizontal magnetic dipole for a general source-observer location are derived from the Hertz vector. They can be properly combined to model the problem of a tilted magnetic dipole source for horizontally or inclined stratified media. As a result, a complete set of integral equations of the Sommerfeld type valid from the near zone to the far zone are formulated. A method for numerical evaluation of the field expressions for high accurate computations is described. The numerical results are validated using the finite element method for all the possible source-receiver configurations and three well-spanned frequencies of typical subsurface applications. Both numerical solutions agree according to the normalized root-mean-square error-based fit metric. Numerical results for two cases of study are presented to see its usefulness for subsurface applications. A MATLAB implementation of the mathematical description outlined in this paper and the proposed evaluation method is freely available for download. info:eu-repo/grantAgreement/ES/MINECO-AEI-FEDER/DPI2016-76676-R info:eu-repo/grantAgreement/ES/DGA/T45-17R info:eu-repo/grantAgreement/ES/MINECO/DPI2016-76676-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 1.305 2019 GEOCHEMISTRY & GEOPHYSICS 60 / 84 = 0.714 2019 Q3 T3 ASTRONOMY & ASTROPHYSICS 50 / 68 = 0.735 2019 Q3 T3 REMOTE SENSING 28 / 30 = 0.933 2019 Q4 T3 TELECOMMUNICATIONS 74 / 90 = 0.822 2019 Q4 T3 METEOROLOGY & ATMOSPHERIC SCIENCES 82 / 93 = 0.882 2019 Q4 T3 0.474 2019 Condensed Matter Physics 2019 Q2 Electrical and Electronic Engineering 2019 Q2 Earth and Planetary Sciences (miscellaneous) 2019 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0001-9067-2940 Cuchí, José Antonio Universidad de Zaragoza (orcid)0000-0002-1568-1481 Lera, Francisco Universidad de Zaragoza (orcid)0000-0002-7148-4642 Villarroel, José Luis Universidad de Zaragoza 5007 035 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Arquit.Tecnología Comput. 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5011 500 Universidad de Zaragoza Dpto. CC.Agrar.y Medio Natural Area Ingeniería Agroforestal 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 54, 9 (2019), 822-838 Radio sci. RADIO SCIENCE 0048-6604 1810205 http://zaguan.unizar.es/record/88229/files/texto_completo.pdf Versión publicada 65286 http://zaguan.unizar.es/record/88229/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:88229 articulos driver 2021-01-25-14:38:30 ARTICLE