Identification of mineralized zones in the Zardu area, Kushk SEDEX deposit (Central Iran), based on geological and multifractal modeling

Open Geosciences

Lotfi Mohammad¹  Jafarirad Alireza²  Dahooei Ahmad Heidari³  Afzal Peyman⁴ 

[1] Camborne School of Mines, University of Exeter, Penryn, United Kingdom of Great Britain and Northern Ireland;Department of Geology, North Tehran branch, Islamic Azad University, Tehran, Iran (Islamic Republic of);Department of Geology, Science and Research Branch, Islamic Azad University, Tehran, Iran (Islamic Republic of);Department of Mining Engineering, South Tehran branch, Islamic Azad University, Tehran, Iran;

关键词: concentration–volume (c–v) fractal modeling;    zn–pb mineralized zones;    geological model;    massive sulfides;    kushk sedex deposit;   

DOI  :  10.1515/geo-2016-0014

来源: DOAJ

【 摘 要 】

The aim of this paper is to delineate the different lead–zinc mineralized zones in the Zardu area of the Kushk zinc–lead stratabound SEDEX deposit, Central Iran, through concentration–volume (C–V) modeling of geological and lithogeochemical drillcore data. The geological model demonstrated that the massive sulfide and pyrite+dolomite ore types as main rock types hosting mineralization. The C–V fractal modeling used lead, zinc and iron geochemical data to outline four types of mineralized zones, which were then compared to the mineralized rock types identified in the geological model. ‘Enriched’ mineralized zones contain lead and zinc values higher than 6.93% and 19.95%, respectively, with iron values lower than 12.02%. Areas where lead and zinc values were higher than 1.58% and 5.88%, respectively, and iron grades lower than 22% are labelled “high-grade” mineralized zones, and these zones are linked to massive sulfide and pyrite+dolomite lithologies of the geological model. Weakly mineralized zones, labelled ‘low-grade’ in the C– V model have 0–0.63% lead, 0–3.16% zinc and > 30.19% iron, and are correlated to those lithological units labeled as gangue in the geological model, including shales and dolomites, pyritized dolomites. Finally, a log-ratio matrix was employed to validate the results obtained and check correlations between the geological and fractal modeling. Using this method, a high overall accuracy (OA) was confirmed for the correlation between the enriched and high-grade mineralized zones and two lithological units — the massive sulfide and pyrite+dolomite ore types.

【 授权许可】

Unknown