Multifractal modeling of the gold mineralization in the Takab area (NW Iran)
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ORIGINAL PAPER
Multifractal modeling of the gold mineralization in the Takab area (NW Iran) Reza Nouri 1 & Mehran Arian 2
Received: 13 February 2015 / Accepted: 16 February 2017 # Saudi Society for Geosciences 2017
Abstract Reconstruction of structural controls on hydrothermal deposits is fundamental to predictive models of different ore deposits. Since fractal/multifractal modeling is an effective instrument for separation of geological and mineralized zones from background, therefore concentration-distance to magnetic basement lineament (C-DMBL) fractal model and distribution of Au anomalies were used to classify Au mineralizations according to their distance to magnetic basement lineament. Application of the C-DMBL model for the classification of Au mineralization in the Takab 1:100,000 sheets based on streams sediment data, reveals that the main gold mineralizations have a strong correlation with their distance to magnetic basement lineament in the area. The distances of gold extreme anomalies having Au values higher than 692 ppb to magnetic basement lineament are less than 2 km showing a positive correlation between Au anomalies and tectonic events. Moreover, gold mines have average distances to magnetic basement lineament less than 6 km and validate the results derived via the C-DMBL fractal model. The C-DMBL fractal modeling can be utilized for the reconnaissance and prospecting of magmatic and hydrothermal deposits.
Keywords C-DMBL . Takab area . Hydrothermal deposits . Iran
* Reza Nouri [email protected]
Introduction It has determined that the formation of hydrothermal mineral deposits is often the result of interaction between several key processes including structures, fluid flow, and geothermal transport as well as geochemical processes (Zhang et al. 2011). The separation of geochemical anomalies from background is an important procedure in mineral exploration. However, recognition and delineation of the anomalies with the aim of predicting the occurrence of mineral deposits need prior knowledge of geo-anomaly according to mineralization types, grade distributions, and geneses as well as knowledge of advanced methods for their quantitative mapping. The separation of anomalies from background is the most significant aim of geochemical exploration operations particularly for metallic ore deposits. Several methods are used for fractal and multifractal modeling and singularity modeling (Wang et al. 2012). The fractal theory has been established by Mandelbrot (1983) as an important non-Euclidean branch in geometry. The aim of structural analysis applied to mineralization is to recognize what deformation influenced the increase or decrease of permeability in rocks, both spatially and over time. There is a positive correlation between tectonic and hydrothermal mineralization. The aim of this study is to classify Au mineralization according to their distance from magnetic basement lineament by concentration-distance to magnetic basement lineament (CDMBL) fractal model and distribution of Au anomalie
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