ESTIMATION AND CLASSIFICATION OF COAL RESOURCES BASED ON GEOMETRY AND QUALITY DATA USING GEOSTATISTICS METHODS

• Main Author: NOOR FIKRI (NIM : 22111002), HAFIDZ
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/20144
• Institution: Institut Teknologi Bandung

When determination of coal resources, there are many variations in value of geometry and quality, which requires serious attention on geological modeling <br /> <br /> and calculation of technical issues in coal mining. Classification of coal resources is based on the value of relative error is expected to provide an alternative in determining the classification of coal resources in coal deposits. Classification of coal resources is based on value of relative error in coal seams in five study sites generate seam T100 value of of 128 million tonnes (measured), T200-1 Seam at 206 million tonnes (indicated is 62 million tonnes and inferred is 144 million <br /> <br /> tonnes), T00-2 seam of 96 million tonnes (measured), seam T300-1 148 million tons (indicated is 52 million tonnes and inferred is 96 million tonnes), and T300-2 <br /> <br /> seam of 40 million (inferred). Simulation calculations gaussian sequential on seam T100 generate value of coal resource of 121 million tons, with the classification of coal resources: measured is 2.4 million tonnes, indicated is 58.1 million tonnes, and inferred is 60.5 million tonnes. The difference value of the coal resource seam T100 using ordinary kringing estimation and sequential gaussian simulation by 5% due to the ordinary kriging estimate is likely to produce a smoothing effect compared to the sequential gaussian simulation which tends to make the data based on preliminary data.