Prospection of Au mineralization based on stream sediments and lithogeochemical data using multifractal modeling in Alut 1:100,000 sheet, NW Iran

2014 ◽  
Vol 8 (6) ◽  
pp. 3867-3879 ◽  
Author(s):  
Seyed Ali Hosseini ◽  
Peyman Afzal ◽  
Behnam Sadeghi ◽  
Taraneh Sharmad ◽  
Seyed Vahid Shahrokhi ◽  
...  
Geochemistry ◽  
2017 ◽  
Vol 77 (3) ◽  
pp. 429-441 ◽  
Author(s):  
Vartan Simmonds ◽  
Fatemeh Jahangiryar ◽  
Mohssen Moazzen ◽  
Ahmad Ravaghi
Keyword(s):  

2014 ◽  
Vol 8 (5) ◽  
pp. 2853-2861
Author(s):  
Jahan B. Ghasemi ◽  
Mohammad K. Rofouei ◽  
N. Amiri ◽  
A. Maghsoudi ◽  
E. Zolfonoun

2013 ◽  
Vol 7 (12) ◽  
pp. 5333-5343 ◽  
Author(s):  
Mojtaba Shamseddin Meigoony ◽  
Peyman Afzal ◽  
Mehran Gholinejad ◽  
Amir Bijan Yasrebi ◽  
Behnam Sadeghi

2015 ◽  
Vol 2 (4) ◽  
pp. 1137-1157
Author(s):  
E. Mansouri ◽  
F. Feizi ◽  
A. A. Karbalaei Ramezanali

Abstract. 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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