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Integration multisource data for mineral exploration by using fuzzy logic,case study: Taknar deposit,NE of Iran |
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| Authors: | Khosrow Maroufi Naghadehi Ardeshir Hezarkhani Jamal Honarpazhouh Kumars Seifpanahi Shabani |
| Institution: | 1. Department of Mining Engineering, Science and Research Branch, Islamic Azad University, Poonak Ave, Tehran, Iran 2. Department of Mining, Metallurgy and Petroleum Engineering, Amirkabir University, Tehran, Iran 3. Faculty of Mining Engineering, University of Tehran, Tehran, Iran 4. Department of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran |
| Abstract: | The Taknar Zone is located at the northern margin of the eastern Iranian continental microplate, and it is host to the Taknar massive sulfide deposit. This study was conducted to find new exploration targets. We used multiple data sources (e.g., litho-geochemical and magnetic surveys) to produce more effective predictive maps. Principal component analysis and hierarchical cluster analysis methods were used to organize the new information into favorability maps and to determine multi-element correlations. We then employed fuzzy logic modeling to create favorability maps from geochemical and magnetic data. A concentration–area multifractal method was used to evaluate the final integrated favorability map for massive sulfide exploration. Our new map identifies previously unexploited sites in the eastern part of the study area, near the boundary of the Taknar formation, with intrusive and subvolcanic rocks, with potential for mineral exploration. The newly defined targets are attractive because old mined ore bodies are also identified in the favorability map. |
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