CHARACTERISTICS OF ALLUVIAL TIN AND DRILL SPACING OPTIMIZATION ANALYSIS IN DETERMINING ALLUVIAL TIN RESOURCES IN REGION X BANGKA BELITUNG

The research area is in area X of Bangka Island, Bangka Belitung Islands Province. Bangka Island is an island that is traversed by the main granite route of Southeast Asia, with a high level of weathering making this island the most productive alluvial tin producer in the world. With different ty...

Full description

Saved in:
Bibliographic Details
Main Author: Surya Putra, Wildhon
Format: Final Project
Language:Indonesia
Subjects:
Online Access:https://digilib.itb.ac.id/gdl/view/82088
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:The research area is in area X of Bangka Island, Bangka Belitung Islands Province. Bangka Island is an island that is traversed by the main granite route of Southeast Asia, with a high level of weathering making this island the most productive alluvial tin producer in the world. With different types of alluvial deposition, it is necessary to characterize alluvial tin deposition which is the basis for optimizing drill hole spacing to determine the classification of resource blocks in the research area. In the research area, 279 drillhole were analysed. Placer layers in the research area are modelled based on grain size in three dimensions to determine the distribution of layer types which is the basis for determining facies associations. Facies associations in the research area are modelled in two dimensions and three dimensions to determine the control of tin distribution. The tin deposits in the research area have a mincan deposit type with mineralogical characteristics subrounded. The previous characteristics are the basis for determining drillhole spacing optimization. The method used in drill hole spacing optimization is a geostatistical approach using the Global Estimation Variance (GEV) method to calculate relative errors. The distribution of drill data in the research was treated with spatial clustering based on the average spacing of existing drill holes and the characteristics of alluvial tin into 3 areas. The optimum spacing representing alluvial tin in the research area is associated with the relative error adjusting each error with a classification of 0-20% for measured resources is 70-100m, 20-35% for indicated resources is 120-150m, and 35-55% for inferred resources is >170m. As a comparison, alluvial tin resource blocks were determined using kriging efficiency from the results of ordinary kriging interpolation. It was found that the resource block area in drilling hole spacing optimization was 1,828,508 m2, while the kriging efficiency was only around 1,483,280 m2.