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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Classification of Coal Resources Using Drill Hole Spacing Analysis (DHSA)
Author(s)
Iskandar Zulkarnain and Waterman Sulistyana Bargawa
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DOI:10.17265/2328-2193/2018.04.003
Affiliation(s)
Master of Mining Engineering, UPN Veteran Yogyakarta, Jl. SWK 104 Yogyakarta 55283, Indonesia
ABSTRACT
The classification of coal resources generally is based on geometric
factors and the complexity of geological structures. The classification has not
considered coal quality factors such as ash content, sulphur content, caloric
value. The development of international classification standards has required a
geostatistical analysis for the estimation and classification of coal
resources. The purpose of this research is to apply geostatistics method to
determine optimal drill hole distance, and to analyze classification of coal
resource based on data of coal quality and quantity. Based on global
estimation variance (GEV) approach
from geostatistics, relative error value was obtained. Drill hole spacing
analysis (DHSA) results in optimal drill hole spacing on each coal seam for the
coal resources classification. Estimation using kriging block results in the
value of kriging relative error. Coal resources classification was based on relative error
of 0-10% for measured resources, 10-20% for indicated resources and > 20% for inferred
resources. Based on a case study in a coal field consisting of three coal seams, the geostatistical
approach produced the smallest distance on seam-3 as the optimal borehole range
in the research area. This classification yields a greater area of influence
than the SNI standard on simple geological complexity.
KEYWORDS
Geostatistics, bore hole spacing analysis, SNI (5015:2011), GEV, kriging relative error.
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