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Geotechnical and Geological Engineering

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01-02-2021 | Original Paper

Geostatistics-Based Method for Irregular Mineral Resource Estimation, in Ouenza Iron Mine, Northeastern Algeria

Authors: Oussama Zerzour, Larbi Gadri, Riheb Hadji, Faouzi Mebrouk, Younes Hamed

Published in: Geotechnical and Geological Engineering | Issue 5/2021

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Abstract

Geostatistical techniques are usually practical in the development and production stages of mining projects. The Ouenza deposit is the main iron ore sources for the Algerian steel industry. This deposit suffers from heterogeneity in its mineral contents yet essential to obey to the market standards and requirements. The effective exploitation of this type of deposit is a major concern of mine managers. The variability and the content disparity in the iron ore require an in-depth scientific study. To estimate the iron ore reserves of the Ouenza deposit, an ordinary 3D kriging based geostatistical method is used to analyze the 207,723 block value in Surpac 6.2 software. The results have shown a significant variability in the iron content, which can be classified into three classes. The first class (poor ore) from 30 to 40% of iron content; the second class (medium ore) between 40 and 50%, and the third class (rich ore) from 50 to 60%. Their quantitative proportions are estimated at 1.1 MT for poor ore, 4.9 MT for medium and 2.6 MT for rich ore. For the planning of the extraction work, we use a graphic method to obtain a product of regular content during the exploitation phase of the deposit. This method gives countless solutions to exploit this type of deposit without resorting to the installation of processing plants. This is key to effective production development and accurate projection of raw materials for production.

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Title: Geostatistics-Based Method for Irregular Mineral Resource Estimation, in Ouenza Iron Mine, Northeastern Algeria
Authors: Oussama Zerzour
Larbi Gadri
Riheb Hadji
Faouzi Mebrouk
Younes Hamed
Publication date: 01-02-2021
Publisher: Springer International Publishing
Published in: Geotechnical and Geological Engineering / Issue 5/2021
Print ISSN: 0960-3182
Electronic ISSN: 1573-1529
DOI: https://doi.org/10.1007/s10706-021-01695-1

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