Thin-Sheet Inversion Modeling of Geomagnetic Deep Sounding Data Using MCMC Algorithm
Joint Authors
Roussignol, Michel
Menvielle, Michel
Grandis, Hendra
Source
International Journal of Geophysics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-21
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Grandis, Hendra& Menvielle, Michel& Roussignol, Michel. 2013. Thin-Sheet Inversion Modeling of Geomagnetic Deep Sounding Data Using MCMC Algorithm. International Journal of Geophysics،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-479173
Modern Language Association (MLA)
Grandis, Hendra…[et al.]. Thin-Sheet Inversion Modeling of Geomagnetic Deep Sounding Data Using MCMC Algorithm. International Journal of Geophysics No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-479173
American Medical Association (AMA)
Grandis, Hendra& Menvielle, Michel& Roussignol, Michel. Thin-Sheet Inversion Modeling of Geomagnetic Deep Sounding Data Using MCMC Algorithm. International Journal of Geophysics. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-479173
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-479173