Application of multifractal modeling for separation of sulfidic mineralized zones based on induced polarization and resistivity data in the Ghare-Tappeh Cu deposit, NW Iran
محورهای موضوعی : MineralogyKeyvan Karami 1 , Peyman Afzal 2
1 - Department of Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Department of Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
کلید واژه: multifractal modeling, Concentration-Volume (C-V) fractal model, number-size (N-S) fractal model, Sulfidic mineralized zones, IP/RS, Ghareh-Tappeh,
چکیده مقاله :
The aim of this study was to identify various sulfidic mineralized zones in the Ghare-Tappeh Cu deposit (NW Iran) based on geo-electrical data including induced polarization (IP) and resistivity (RS) using the concentration-volume (C-V) and number-size (N-S) fractal models. The fractal models were used to separate high and moderate sulfidic zones from low sulfidic zones and barren wall rocks. Both the N-S and C-V fractal models confirm that there is a high sulfidic mineralized zone in the NW part of the studied area. Moreover, the application of multifractal modeling based on the geo-electrical data is considered to be a proper approach for delineation of various mineralized zones at depth for optimization of mineral exploration operations. Finally, the results can be useful for proposing grid drilling in a detailed exploration stage.
The aim of this study was to identify various sulfidic mineralized zones in the Ghare-Tappeh Cu deposit (NW Iran) based on geo-electrical data including induced polarization (IP) and resistivity (RS) using the concentration-volume (C-V) and number-size (N-S) fractal models. The fractal models were used to separate high and moderate sulfidic zones from low sulfidic zones and barren wall rocks. Both the N-S and C-V fractal models confirm that there is a high sulfidic mineralized zone in the NW part of the studied area. Moreover, the application of multifractal modeling based on the geo-electrical data is considered to be a proper approach for delineation of various mineralized zones at depth for optimization of mineral exploration operations. Finally, the results can be useful for proposing grid drilling in a detailed exploration stage.
