Modeling of the Ilovica-Štuka copper-gold deposit, mineral resource estimation and classification

Ligovski, Mitko and Serafimovski, Todor and Tasev, Goran and Forward, Patrick (2022) Modeling of the Ilovica-Štuka copper-gold deposit, mineral resource estimation and classification. Geologica Macedonica, 36 (2). pp. 119-141. ISSN 0352-1206

Text Ligovski et al complete Vol 36 No 2.pdf - Published Version Download (3MB)

Abstract

The Ilovica-Štuka project's mineral resource estimation has been defined in accordance with the reporting requirements outlined in the 2012 edition of the “Australasian Code for Reporting of Exploration Results, Mineral Resources and Ore Reserves” (the JORC Code). Statistical and grade continuity analyses were completed to characterize the mineralization and subsequently used to develop grade interpolation parameters for the deposit.
Exploratory data analysis highlighted a number of statistically differentiated grade populations, which were interpreted to be controlled by the following: stockwork intensity, oxidation state, supergene leaching and enrichment. Wireframe models were used to isolate grade populations into domains for the purpose of sample selection and to constrain the grade interpolation. Grade estimation was completed using ordinary kriging. The search ellipsoid dimensions and orientations were chosen to reflect the continuity revealed by geostatistical studies and optimized using quantitative kriging neighbourhood analysis. The wireframe models were used within the sample selection and compositing routine and subsequently as a constraint to the grade estimation. In calculating dollar equivalent block values metal prices used are provided by Euromax management and are generated based on industry capacity analysis, global commodity consumption and economic growth trends. A Mineral Resource classification scheme consistent with the JORC guidelines (2012) was applied. The estimates are categorized in the Measured, Indicated and Inferred Mineral Resource categories, reported above a cut-off grade that defines the resource as potentially mineable by open pit mining methods. Resource grade/tonnage sensitivity graph were created based upon a range of dollar equivalent cut-offs for blocks within the resource pit shell.

Item Type:	Article
Subjects:	Natural sciences > Earth and related environmental sciences
Divisions:	Faculty of Natural and Technical Sciences
Depositing User:	Goran Tasev
Date Deposited:	14 Dec 2022 10:50
Last Modified:	14 Dec 2022 10:50
URI:	https://eprints.ugd.edu.mk/id/eprint/30666

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