DESIGN OPTIMIZATION OF GOLD ORE MINING PT XYZ

Gold mineral is a non-renewable resource, and the mineral mining process must be planned with the principle of pit optimization. Mining optimization for mineral reserves can be done by minimizing the amount of waste to obtain much ore that can be mined. PT XYZ is one of the gold mining companies...

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Bibliographic Details
Main Author: ANGANTASON BERUTU, SANGAP
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/57523
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Gold mineral is a non-renewable resource, and the mineral mining process must be planned with the principle of pit optimization. Mining optimization for mineral reserves can be done by minimizing the amount of waste to obtain much ore that can be mined. PT XYZ is one of the gold mining companies that will carry out mining activities. This study aims to design an optimal mining pit design for PT XYZ using the mine optimization principle. In addition, this study aims to determine the effect of fluctuations in mineral selling prices, operating costs, and overall slope on changes in the company's number of reserves and profits. Optimization of a pit design on this research using Micromine 2021 software based on the Lerchs-Grossmann Algorithm method. The optimization process is carried out by inputting the required data, namely block models, topographic maps, and cost parameters. From the results of the pit optimization, the output in the form of Pit Shell is the reference for the optimal design of the ultimate pit limit. The mining design can determine the ore and waste mined value, the average mineral content, and the profit from mining. An analysis of the effect of fluctuations in the selling price of gold, operating cost, and overall slope on the number of reserves and profits is carried out using the same method by changing the input parameters of the selling price of gold, mining costs, and overall slope. The design of the ultimate pit limit design resulted in an optimization result of 1,760,290 tons of mined reserves, 59,711,934 tons of mined waste, and 33.92 SR with Net Profit from the design amounting to $431,352,662. The Stripping Ratio comparison of the design is 1.2 times greater than Pit Shell. From the sensitivity analysis of selling price, operating cost, and overall slope, it is found that fluctuations in the gold price are directly proportional to the number of reserves and profits, fluctuations in operating costs are inversely proportional to the number of reserves and profits, and fluctuations of the overall slope are directly proportional to the number of reserves and profits.