Masoumeh Nabilou; Mehran Arian; Peyman Afzal; Ahmad Adib; Ahmad Kazemi Mehrnia
Abstract
The multifractal modelling is an effective approach for separation of geological and mineralized zones from the background. Following cases are addressed in this study; Concentration-Distance to Major Fault structures (C-DMF) fractal model and distribution of the known Fe indices/mines in the Bafgh ...
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The multifractal modelling is an effective approach for separation of geological and mineralized zones from the background. Following cases are addressed in this study; Concentration-Distance to Major Fault structures (C-DMF) fractal model and distribution of the known Fe indices/mines in the Bafgh area to distinguish the Fe mineralization based on their distance to basement faults, surface faults and master joints, using remote sensing information, airborne geophysics information and field surveys. Application of the C-DMF model for the classification of Fe mineralization in the Esfordi and Behabad 1: 100,000 sheets reveals that the main Fe mineralizations have a strong correlation with their distance to the major and basement faults. Accordingly, the distances of Fe mineralization that has the grades upper than 55% in this area )43%≤S≤60%), are lower than 1 km related to basement faults, while such distance for this threshold is 2344<DMJ≤1778 meter for the master joint and also for the faults of 1:100,000 Behabad and Esfordi geology sheets in 43%S≤60% threshold (for the graides) the distances are 3162<DGF≤4365 meter to the faults. This indicates a positive correlation between Fe mineralization and distance to the basement faults. On the other words, the proximity evidence for the Precambrian high grades Fe deposits related to basement faults indicates syn-rifting tectonic events. This C-DMF fractal model can be used in exploration of the magmatic and hydrothermal ore deposits.
