QUARTZ SAND RESOURCES ESTIMATION OF ALLUVIAL TIN PROCESSING WASTE MATERIAL USING POLYGONAL AND BLOCK MODEL METHODS AT BELITUNG ISLAND

Alluvial tin is a mining commodity in Indonesia that is scattered in Bangka Belitung Islands. The alluvial tin mining conducted by PT XYZ in Belitung Island uses hydraulic mining method and uses sluice boxes for washing process. One of the by-products from alluvial tin mining is quartz sand (SiO2...

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Bibliographic Details
Main Author: Nayaka Putranto, Wiba
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/76680
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Alluvial tin is a mining commodity in Indonesia that is scattered in Bangka Belitung Islands. The alluvial tin mining conducted by PT XYZ in Belitung Island uses hydraulic mining method and uses sluice boxes for washing process. One of the by-products from alluvial tin mining is quartz sand (SiO2). According to the Peraturan Menteri ESDM No.25 Tahun 2018, the byproducts from alluvial tin mining process are referred aluvial tin processing waste material. This final project focuses on the estimation of quartz sand resources from aluvial tin processing waste material using the polygonal and block model methods on three blocks owned by PT XYZ in Belitung Island. The polygonal-based resource estimation was conducted using ArcGIS software. The estimation principle involves a specific point from a borehole and extending it to half of the surrounding borehole points distances, forming an influence area. The estimation result of quartz sand resources using the polygonal method are 8,8 million tons with an average grade of 99,09% in Block A, 4,6 million tons with an average grade of 98,76% in Block C, and 18,9 million tons with an average grade of 99,05% in Block E. The resource estimation using Block Model method was performed using Datamine Studio RM software. The estimation principle is predicting a variable from a specific point by observing similar data in the area, and the resource classification is based on the range of variogram and the distance of a borehole’s influence area. The estimation result of quartz sand resources using the block model method are 9,5 million tons with an average grade of 99,07% in Block A, 5,1 million ton with an average grade of 98,71% in Block C, and 20,3 million ton with an average grade of 99,03% in Block E.