ESTIMATION OF GRADE AND CONCRETION FACTOR IN LATERITIC BAUXITE DEPOSITS USING ORDINARY KRIGING AND MULTIPLE INDICATOR KRIGING METHODS IN 2D AND 3D: A CASE STUDY IN THE XYZ AREA
Indonesia is one of the countries rich in natural resources, including abundant mineral commodities such as bauxite ore. Bauxite is the primary source of aluminum metal, as it is a deposit rich in alumina. In human life, many objects are made from aluminum, such as building frameworks, mobile pho...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/85375 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Indonesia is one of the countries rich in natural resources, including abundant mineral
commodities such as bauxite ore. Bauxite is the primary source of aluminum metal, as it
is a deposit rich in alumina. In human life, many objects are made from aluminum, such
as building frameworks, mobile phones, kitchenware, etc. This study aims to estimate the
grade and concretion factor variables in bauxite deposits using two geostatistical
methods: Ordinary Kriging (OK) and Multiple Indicator Kriging (MIK), in order to
achieve more accurate resource estimation, thereby enhancing the effectiveness and
efficiency of mining processes. The data used in this study were obtained from drilling
results at a bauxite mining site in Indonesia. The results indicate that the MIK method
provides a more accurate estimate of bauxite grade with a higher level of precision based
on swath plot analysis and global mean. Thus, this study demonstrates that the
appropriate use of geostatistical methods can improve accuracy and efficiency in
estimating key variables in bauxite deposits, ultimately contributing to more effective and
sustainable mineral resource management. |
|---|