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Thin-sheet inversion modeling of geomagnetic deep sounding data using MCMC algorithms

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doi: 10.1155/2013/531473
Authors:Grandis, Hendra; Menvielle, Michel; Roussignol, Michel
Author Affiliations:Primary:
Bandung Institute of Technology, Faculty of Mining and Petroleum Engineering, Bandung, Indonesia
Other:
Centre d'Etude de l'Environnement Terrestre et Planétaires, France
Université de Marne la Vallée, France
Volume Title:International Journal of Geophysics
Source:International Journal of Geophysics, Vol.2013, p.1-7. Publisher: Hindawi, London, International. ISSN: 1687-885X
Publication Date:2013
Note:In English. 21 refs.; illus., incl. sketch maps
Summary:The geomagnetic deep sounding (GDS) method is one of electromagnetic (EM) methods in geophysics that allows the estimation of the subsurface electrical conductivity distribution. This paper presents the inversion modeling of GDS data employing Markov Chain Monte Carlo (MCMC) algorithm to evaluate the marginal posterior probability of the model parameters. We used thin-sheet model to represent quasi-3D conductivity variations in the heterogeneous subsurface. The algorithm was applied to invert field GDS data from the zone covering an area that spans from eastern margin of the Bohemian Massif to the West Carpathians in Europe. Conductivity anomalies obtained from this study confirm the well-known large-scale tectonic setting of the area.
Subjects:Algorithms; Conductivity; Deep sounding; Electrical conductivity; Electromagnetic methods; Geophysical methods; Magnetotelluric methods; Markov chain analysis; Monte Carlo analysis; Sounding; Statistical analysis; Tectonics; Carpathians; Europe; Western Carpathians
Coordinates:N460000 N495000 E0230000 E0180000
Record ID:812954-5
Copyright Information:GeoRef, Copyright 2021 American Geosciences Institute.
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