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| Titel |
Identification of magnetic anomalies based on ground magnetic data analysis using multifractal modeling: 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 |
2198-5634
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics Discussions ; 2, no. 4 ; Nr. 2, no. 4 (2015-07-24), S.1137-1157 |
| Datensatznummer |
250115185
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| Publikation (Nr.) |
 copernicus.org/npgd-2-1137-2015.pdf |
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| Zusammenfassung |
| Ground magnetic anomaly separation using reduction-to-the-pole (RTP)
technique and the fractal concentration-area (C-A) method has been
applied to the Qoja-Kandi prosepecting area in NW Iran. The
geophysical survey that resulted in the ground magnetic data was
conducted for magnetic elements exploration. Firstly, RTP technique
was applied for recognizing underground magnetic anomalies. RTP
anomalies was classified to different populations based on this
method. For this reason, drilling points determination with RTP
technique was complicated. Next, C-A method was applied on the
RTP-Magnetic-Anomalies (RTP-MA) for demonstrating magnetic
susceptibility concentration. This identification was appropriate
for increasing the resolution of the drilling points determination
and decreasing the drilling risk, due to the economic costs of
underground prospecting. In this study, the results of C-A Modeling
on the RTP-MA are compared with 8 borehole data. The results show
there is good correlation between anomalies derived via C-A method
and log report of boreholes. Two boreholes were drilled in magnetic
susceptibility concentration, based on multifractal modeling data
analyses, between 63 533.1 and 66 296 nT. Drilling results show
appropriate magnetite thickness with the grades greater than
20 % Fe total. Also, anomalies associated with andesite units
host iron mineralization. |
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