STUDY OF OPEN PIT TIN MINE DESIGN OPTIMIZATION PT XYZ, BANGKA BELITUNG PROVINCE

PT XYZ is one of tin mining company in Indonesia which has been already operating several open pit mines. PT XYZ has a pit that has been mined and still has remaining reserves, therefore pit optimization needs to be carried out to maximize the mining recoveries. However, the location of the pit is c...

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Main Author: Pauli Siahaan, Florencia
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/43996
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:43996
spelling id-itb.:439962019-10-01T10:55:02ZSTUDY OF OPEN PIT TIN MINE DESIGN OPTIMIZATION PT XYZ, BANGKA BELITUNG PROVINCE Pauli Siahaan, Florencia Indonesia Final Project pit optimization, ultimate pit limit, Lerchs-Grossman, Whittle, tin selling price, operating cost INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/43996 PT XYZ is one of tin mining company in Indonesia which has been already operating several open pit mines. PT XYZ has a pit that has been mined and still has remaining reserves, therefore pit optimization needs to be carried out to maximize the mining recoveries. However, the location of the pit is close to the residential pathway, so in the process of optimizing this pit, it is necessary to consider the residential pathway as restricted area parameter. PT XYZ also wants to know the effect of fluctuation in tin selling price and the operating costs to the number of reserves that can be mined. Ultimate pit limit determination is carried out by Whittle software that refers to the Lerchs-Grossmann Algorithm pit optimization method. From the pit optimization results, ore tonnage values, stripping ratio, tin grade, and the optimal block model to be mined are obtained. A pit design is made based on the pit optimization results that have been obtained by considering non-technical parameters, which is the restricted area boundaries. As consequences, the ultimate pit limit design on Datamine cannot completely follow the shape of the block model produced by Whittle. Furthermore, the simulation of fluctuation in tin selling price and operating costs is carried out with the same steps, by changing the input parameters on Whittle and making designs with Datamine based on the optimized block models. From the pit design optimization results, the optimal ore tonnage to be mined is 8,555,812 tons of the total 9,014,867 tons of available resources, with an average grade of 0.5% and a stripping ratio of 7.4. From the simulation results of fluctuation in the tin selling price and operating costs, it is found that the two parameters do not significantly affect the number of reserves that could be mined. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description PT XYZ is one of tin mining company in Indonesia which has been already operating several open pit mines. PT XYZ has a pit that has been mined and still has remaining reserves, therefore pit optimization needs to be carried out to maximize the mining recoveries. However, the location of the pit is close to the residential pathway, so in the process of optimizing this pit, it is necessary to consider the residential pathway as restricted area parameter. PT XYZ also wants to know the effect of fluctuation in tin selling price and the operating costs to the number of reserves that can be mined. Ultimate pit limit determination is carried out by Whittle software that refers to the Lerchs-Grossmann Algorithm pit optimization method. From the pit optimization results, ore tonnage values, stripping ratio, tin grade, and the optimal block model to be mined are obtained. A pit design is made based on the pit optimization results that have been obtained by considering non-technical parameters, which is the restricted area boundaries. As consequences, the ultimate pit limit design on Datamine cannot completely follow the shape of the block model produced by Whittle. Furthermore, the simulation of fluctuation in tin selling price and operating costs is carried out with the same steps, by changing the input parameters on Whittle and making designs with Datamine based on the optimized block models. From the pit design optimization results, the optimal ore tonnage to be mined is 8,555,812 tons of the total 9,014,867 tons of available resources, with an average grade of 0.5% and a stripping ratio of 7.4. From the simulation results of fluctuation in the tin selling price and operating costs, it is found that the two parameters do not significantly affect the number of reserves that could be mined.
format Final Project
author Pauli Siahaan, Florencia
spellingShingle Pauli Siahaan, Florencia
STUDY OF OPEN PIT TIN MINE DESIGN OPTIMIZATION PT XYZ, BANGKA BELITUNG PROVINCE
author_facet Pauli Siahaan, Florencia
author_sort Pauli Siahaan, Florencia
title STUDY OF OPEN PIT TIN MINE DESIGN OPTIMIZATION PT XYZ, BANGKA BELITUNG PROVINCE
title_short STUDY OF OPEN PIT TIN MINE DESIGN OPTIMIZATION PT XYZ, BANGKA BELITUNG PROVINCE
title_full STUDY OF OPEN PIT TIN MINE DESIGN OPTIMIZATION PT XYZ, BANGKA BELITUNG PROVINCE
title_fullStr STUDY OF OPEN PIT TIN MINE DESIGN OPTIMIZATION PT XYZ, BANGKA BELITUNG PROVINCE
title_full_unstemmed STUDY OF OPEN PIT TIN MINE DESIGN OPTIMIZATION PT XYZ, BANGKA BELITUNG PROVINCE
title_sort study of open pit tin mine design optimization pt xyz, bangka belitung province
url https://digilib.itb.ac.id/gdl/view/43996
_version_ 1822926739262668800