The application of geochemical pattern recognition to regional prospecting: a case study of the Sanandaj-Sirjan metallogenic zone, Iran

Meshkani, Seyed A., Mehrabi, Behzad, Yaghubpur, Abdolmajid and Alghalandis, Younes Fadakar (2011) The application of geochemical pattern recognition to regional prospecting: a case study of the Sanandaj-Sirjan metallogenic zone, Iran. Journal of Geochemical Exploration, 108 3: 183-195. doi:10.1016/j.gexplo.2011.01.006


Author Meshkani, Seyed A.
Mehrabi, Behzad
Yaghubpur, Abdolmajid
Alghalandis, Younes Fadakar
Title The application of geochemical pattern recognition to regional prospecting: a case study of the Sanandaj-Sirjan metallogenic zone, Iran
Journal name Journal of Geochemical Exploration   Check publisher's open access policy
ISSN 0375-6742
Publication date 2011-03-01
Sub-type Article (original research)
DOI 10.1016/j.gexplo.2011.01.006
Open Access Status Not Open Access
Volume 108
Issue 3
Start page 183
End page 195
Total pages 13
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Abstract In regional exploration programs, the distribution of elements in known mineral deposits can be used as a guide for the classification of deposits, search for new prospects and modeling ore deposit patterns. The Sanandaj-Sirjan Zone (SSZ) is a major metallogenic zone in Iran, containing lead and zinc, iron, gold, copper deposits. In the central part of the SSZ, lead and zinc mineralization is widespread and hitherto exploration has been based on geological criteria. In this study, we used clustering techniques applied to element distribution for classification lead and zinc deposits in the central part of the SSZ. The hierarchical clustering technique was used to characterize the elemental pattern. Elements associated with lead and zinc deposits were separated into four clusters, encompassing both ore elements and their host rock-forming elements. It is shown that lead and zinc deposits in the central SSZ belong to two genetic groups: a MVT type hosted by limestone and dolomites and a SEDEX type hosted by shale, volcanic rocks and sandstone. The results of elemental clustering were used for pattern recognition by the K-means method and the respective deposits were classified into four distinct categories. K-means clustering also reveals that the elemental associations and spatial distribution of the lead and zinc deposits exhibit zoning in the central part of the SSZ. The ratios of ore-forming elements (Sb, Cd, and Zn) vs. (Pb and Ag) show zoning along an E-W trend, while host rock-forming elements (Mn, Ca, and Mg) vs. (Ba and Sr) show a zoning along a SE-NW trend. Large and medium deposits occur mainly in the center of the studied area, which justify further exploration around occurrences and abandoned mines in this area. The application of a pattern recognition method based on geochemical data from known mineralization in the central SSZ, and the classification derived from it, uncover elemental zoning, identify key elemental associations for further geochemical exploration and the potential to discover possible target areas for large to medium size ore deposits. This methodology can be applied in a similar way to search for new ore deposits in a wide range of known metallogenic zones.
Keyword Cluster analysis
K-means
Sanandaj-Sirjan metallogenic zone
Pb-Zn deposits
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Earth Sciences Publications
 
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