Di Massa, Domenico (2016) Analysis and interpretation of airborne electromagnetic and magnetic data. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Lingua: English
Title: Analysis and interpretation of airborne electromagnetic and magnetic data
Creators:
CreatorsEmail
Di Massa, Domenicodomenico.dimassa@hotmail.it
Date: 30 March 2016
Number of Pages: 196
Institution: Università degli Studi di Napoli Federico II
Department: Scienze della Terra, dell'Ambiente e delle Risorse
Scuola di dottorato: Scienze della terra
Dottorato: Scienze della Terra
Ciclo di dottorato: 28
Coordinatore del Corso di dottorato:
nomeemail
Boni, Mariaboni@unina.it
Tutor:
nomeemail
Florio, GiovanniUNSPECIFIED
Viezzoli, AndreaUNSPECIFIED
Date: 30 March 2016
Number of Pages: 196
Uncontrolled Keywords: VERTICAL MAGNETIC SOUNDINGS INVERSION; EM TRANSIENT SAMPLING; INTEGRATION OF GEOPHYSICAL METHODS.
Settori scientifico-disciplinari del MIUR: Area 04 - Scienze della terra > GEO/10 - Geofisica della terra solida
Date Deposited: 08 Apr 2016 12:02
Last Modified: 02 Nov 2016 12:56
URI: http://www.fedoa.unina.it/id/eprint/10834

Abstract

In this research, I focused on processing and modeling of TDEM and aeromagnetic data acquired during the same survey, with the aim of exploring the possibilities for a joint interpretation of these different datasets. My research involved both methodological advances and applications to real dataset. In particular, I will show two case studies, both located in Canada. The first one, is related to Broken Evil prospect in Ontario. This region hosts some of the richest mineral deposits of Canada (especially volcanic massive sulfide deposits). The second one is related to Drybones bay in Northwest Territories, where in 1994 a completely underwater kimberlite structure was discovered. The interpretative results of the TDEM and magnetic data reveal that the sensitivity of the two methods may differ with respect to the investigated geological structures. This would imply a certain difficulty in setting up a true joint inversion algorithm to interpret these two data types simultaneously that would be valid in all the studied cases. However, results show how with different resolution and depth of investigation, in the studied areas the cooperation of the TDEM and aeromagnetic data can lead to a better understand of the structures at depth.

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