DRILL HOLE SPACING ANALYSIS USING GEOSTATISTIC METHODS FOR EVALUATION OF SEAM C COAL RESOURCES IN PIT X BLOCK Y ON KUTAI BASIN, KAUBUN DISTRICT, KUTAI TIMUR REGENCY, EAST KALIMANTAN PROVINCE
In Indonesia, Standar Nasional Indonesia (SNI) become the main reference for coal resource classification which is classified based on geological complexity and drilling geometry in the form of the drill hole spacing. However, along with mining exploration developments, it is required to establis...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/69699 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | In Indonesia, Standar Nasional Indonesia (SNI) become the main reference for coal resource
classification which is classified based on geological complexity and drilling geometry in the
form of the drill hole spacing. However, along with mining exploration developments, it is
required to establish further studies related to geological complexity that are linked to the
parameters of coal quantity data such as seam thickness and coal quality data such as fixed
carbon, inherent moisture, total sulfur, and volatile matter. The distribution of drill hole data
was treated with spatial clustering based on the average spacing of existing drill holes, and
the condition of land cover that divided into Block 1 which is dominantly covered by vegetation
(exploration area) and Block 2 which is an active pit area. To determine the resources
distribution of Seam C, Seam C is modeled by two dimensions and three dimensions, the impact
of geological complexity is classified into moderate and resource classification based on
existing drill hole spacing is classified into measured classification. The Global Estimation
Variance (GEV) approach is used to produce the optimum drill hole spacing of Seam C.
Estimation using the Global Estimation Variance would produce error values for each space,
specifically 100x100 m, 250x250 m, 500x500 m, 750x750 m, 1000x1000 m, 1500x1500 m,
2000x2000 m, 2500x2500 m, and 3000x3000 m. Then the results of the drill hole spacing
analysis will be linked to a relative error classification to match every error with classification
of 0-10% for measured resources, 10-20% for indicated resources, and 20-50% for inferred
resources. The results of this study for Seam C in the Menumbar Formation for optimum drill
hole spacing for the block 1 classification of measured resources is 200 m, the indicated is 400
m, and the inferred is 950 m. Then for block 2 the classification of measured resources is 250
m, the indicated is 450 m, and the inferred is 1150 m. |
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