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| Titel |
Identification of magnetic anomalies based on ground magnetic data analysis using multifractal modelling: a case study in Qoja-Kandi, East Azerbaijan Province, Iran |
| VerfasserIn |
E. Mansouri, F. Feizi, A. A. Karbalaei Ramezanali |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 22, no. 5 ; Nr. 22, no. 5 (2015-10-07), S.579-587 |
| Datensatznummer |
250121001
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| Publikation (Nr.) |
 copernicus.org/npg-22-579-2015.pdf |
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| Zusammenfassung |
| Ground magnetic anomaly separation using the reduction-to-the-pole (RTP)
technique and the fractal concentration–area (C–A) method has been
applied to the Qoja-Kandi prospecting area in northwestern Iran. The
geophysical survey resulting in the ground magnetic data was conducted for
magnetic element exploration. Firstly, the RTP technique was applied to
recognize underground magnetic anomalies. RTP anomalies were classified into
different populations based on the current method. For this reason, drilling
point area determination by the RTP technique was complicated for magnetic
anomalies, which are in the center and north of the studied area. Next, the
C–A method was applied to the RTP magnetic anomalies (RTP-MA) to
demonstrate magnetic susceptibility concentrations. This identification was
appropriate for increasing the resolution of the drilling point area
determination and decreasing the drilling risk issue, due to the economic
costs of underground prospecting. In this study, the results of C–A
modelling on the RTP-MA are compared with 8 borehole data. The results show
that there is a good correlation between anomalies derived via the C–A
method and the log report of boreholes. Two boreholes were drilled in
magnetic susceptibility concentrations, based on multifractal modelling data
analyses, between 63 533.1 and 66 296 nT. Drilling results showed
appropriate magnetite thickness with grades greater than 20 % Fe. The total
associated with anomalies containing andesite units hosts iron
mineralization. |
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