CLASSIFICATION COAL RESOURCES BASED ON GEOSTATISTICAL APPROACH COMPARED WITH SNI 1999 FOR COMPLEX GEOLOGICAL STRUCTURE CONDITION IN SATUI REGION, SOUTH KALIMANTAN PROVINCE

• Main Author: PUTRI SULIANI (12106060); Pembimbing : Dr. M. Nur Heriawan, ST. MT., CUT
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/18228
• Institution: Institut Teknologi Bandung

SNI (1999) Methods has been recognized as one method of classification of resources in Indonesia. However, this standard is still considered to be intuitive and rigid. Which only based on the quantity and geometry factors as well as the complexity of geological structure as limit but do not consider the coal quality factors. Meanwhile, with the geostatistical approach, both geometry and quality parameters of coal can be considered simultaneously to determine the classification of coal resources. And if this is done, then every coal basin with a particular geological setting could possibly have a resource classification parameters such as the different distance effect with coal basin elsewhere. <br /> <br /> <br /> Geostatistical approach to resource estimation carried out using Ordinary Kriging (OK) on five parameters ; the thickness as the geometry factor, and calorie value, ash content, sulfur content, and total moisture as a quality factor. Ordinary Kriging (OK) Process is done per unit blocks which in turn would generate the estimated value and standard deviation of the estimates which will be used to find the value of relative error. This relative error value then becomes a reference in the classification of resources where blocks that have a relative error of less than 10% are categorized as measured resources, between 10-20% as indicated resource, and greater than 20% as inferred resources. Meanwhile, resource calculations are also performed by using polygons with a classification according to SNI 1999. Where according to SNI 1999 for area that has a complex geological structure such as the cases in one coal seam in Satui region, South Kalimantan Province required to have an influence distance of 100 m for measured resource, 200 m for the indicated resource, and 400 m for inferred resources. <br /> <br /> <br /> Coal resources calculation results with geostatistical approach obtain measured coal resources, indicated resources and inferred resources respectively for 2.96 million tons, 9.35 million tons and 6.25 million tons. While the results of calculation using polygon method obtain measured resources, indicated resources and inferred resources respectively for 5.30 million tons, 7.51 million tons and 8.14 million tons. These results provide significant value differences, especially for measurable resource that is equal to 44.09%. While for the total resources provide the difference of 11.3%.