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Identification of Magnetic Anomalies Based on Ground Magnetic Data Analysis Using Multifractal Modeling: a Case Study in Qoja-kandi, East Azerbaijan Province, Iran : Volume 2, Issue 4 (24/07/2015)

By Mansouri, E.

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Book Id: WPLBN0004020122
Format Type: PDF Article :
File Size: Pages 21
Reproduction Date: 2015

Title: Identification of Magnetic Anomalies Based on Ground Magnetic Data Analysis Using Multifractal Modeling: a Case Study in Qoja-kandi, East Azerbaijan Province, Iran : Volume 2, Issue 4 (24/07/2015)  
Author: Mansouri, E.
Volume: Vol. 2, Issue 4
Language: English
Subject: Science, Nonlinear, Processes
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Karbalaei Ramezanali, A. A., Feizi, F., & Mansouri, E. (2015). Identification of Magnetic Anomalies Based on Ground Magnetic Data Analysis Using Multifractal Modeling: a Case Study in Qoja-kandi, East Azerbaijan Province, Iran : Volume 2, Issue 4 (24/07/2015). Retrieved from http://hawaiilibrary.net/


Description
Description: Young Researchers and Elite Club, South Tehran Branch, Islamic Azad University, Tehran, Iran. 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.

Summary
Identification of magnetic anomalies based on ground magnetic data analysis using multifractal modeling: a case study in Qoja-Kandi, East Azerbaijan Province, Iran

Excerpt
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