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Managing Mining Risk Using Ore Reserve Estimates

A Thesis submitted to the Institute of Distance Learning, Kwame Nkrumah University of Science and Technology, Kumasi in partial fulfillment of the requirements for the degree of Master of Science in Industrial Mathematics

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Main Author: Odertey, Felix
Format: Thesis
Language:English
Published: 2012
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access_status_str Open Access
author Odertey, Felix
author_browse Odertey, Felix
author_facet Odertey, Felix
author_sort Odertey, Felix
collection Thesis
description A Thesis submitted to the Institute of Distance Learning, Kwame Nkrumah University of Science and Technology, Kumasi in partial fulfillment of the requirements for the degree of Master of Science in Industrial Mathematics
format Thesis
id oai:ir.knust.edu.gh:123456789/4550
institution KNUST (Ghana)
language English
last_indexed 2026-06-10T12:31:21.331Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
publishDate 2012
publishDateRange 2012
publishDateSort 2012
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source_str KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
spelling oai:ir.knust.edu.gh:123456789/4550 Managing Mining Risk Using Ore Reserve Estimates Odertey, Felix A Thesis submitted to the Institute of Distance Learning, Kwame Nkrumah University of Science and Technology, Kumasi in partial fulfillment of the requirements for the degree of Master of Science in Industrial Mathematics The decision to invest in the mining industry comes with all forms of challenges that will have to be managed with care. Especially because, it involves huge capital outlay and the associated risks are very high. The assessment process of the commercial viability of the ore deposit consists of two major components; the estimation of the quantity (including quality) of the commodity and the decision as to whether or not to mine (or invest). This thesis tries to explore these risk areas by using the geostatistical model and its analysis (the semi-variogram and kriging analysis) to estimate the quantity and quality of the commodity. The decision to invest or not to invest is analyzed with the help of the black-scholes model, taking into consideration the prevailing market price (including price volatility) and the risk derived from the geostatistical estimates. The results indicate that, if the concession is contracted for a period of five years then the mine would be viable for investment during the entire duration when the price, the base case, of the commodity (gold) is about one thousand six hundred dollars. The sensitivity analysis, however, reveals that the mine would not be worth investing within some periods in the duration of the contract especially when the gold price falls to eight hundred dollars per ounce and below.   KNUST 2012-11-15T12:24:09Z 2023-04-19T15:34:55Z 2012-11-15T12:24:09Z 2023-04-19T15:34:55Z 2012 Thesis https://ir.knust.edu.gh/handle/123456789/4550 en application/pdf
spellingShingle Odertey, Felix
Managing Mining Risk Using Ore Reserve Estimates
title Managing Mining Risk Using Ore Reserve Estimates
title_full Managing Mining Risk Using Ore Reserve Estimates
title_fullStr Managing Mining Risk Using Ore Reserve Estimates
title_full_unstemmed Managing Mining Risk Using Ore Reserve Estimates
title_short Managing Mining Risk Using Ore Reserve Estimates
title_sort managing mining risk using ore reserve estimates
url https://ir.knust.edu.gh/handle/123456789/4550
work_keys_str_mv AT oderteyfelix managingminingriskusingorereserveestimates