OPTIMASI JARAK TITIK INFORMASI DALAM ESTIMASI SERTA KLASIFIKASI SUMBERDAYA BATUBARA DENGAN METODE GEOSTATISTIK DIBANDINGKAN DENGAN SNI 5015:2019 PADA BLOK SELATAN PT DIZAMATRA POWERINDO, KABUPATEN LAHAT, SUMATRA SELATAN

PURBA, MICHAEL JERRYCHO and Ningsih, RR. Yunita Bayu and Komar, H. Syamsul (2022) OPTIMASI JARAK TITIK INFORMASI DALAM ESTIMASI SERTA KLASIFIKASI SUMBERDAYA BATUBARA DENGAN METODE GEOSTATISTIK DIBANDINGKAN DENGAN SNI 5015:2019 PADA BLOK SELATAN PT DIZAMATRA POWERINDO, KABUPATEN LAHAT, SUMATRA SELATAN. Undergraduate thesis, Sriwijaya University.

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Abstract

The reference currently used in estimating and classifying coal resources in PT Dizamatra Powerindo is SNI 5015:2019, which refers to the Australian Guidelines for Estimating and Reporting of Inventory Coal, Coal Resources, and Coal Reserves, 2003 Edition. However, several changes have emerged with the issuance of The JORC Code, 2012 Edition and Australian Guidelines for The Estimation and Classification of Coal Resources, 2014 Edition. One of the changes is in calculating geostatistical aspects in the estimation and classification of coal resources. In this study, we will discuss the need for the use of geostatistical methods and evaluation of SNI 5015:2019. The purpose of this study is to determine the optimal borehole spacing, determine the classification and estimation of resources using the geostatistical method, and compare it with SNI 5015:2019. The method used is the kriging relative error method and global estimation variance. The two methods give different results from SNI 5015:2019. This thing exactly gives different resource estimation results. Then this difference will be compared in order to get the optimal distance of information points.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Estimasi, Global Estimation Variance, Klasifikasi, Releative Eror
Subjects:	T Technology > TN Mining engineering. Metallurgy > TN1-997 Mining engineering. Metallurgy
Divisions:	03-Faculty of Engineering > 31201-Mining Engineering (S1)
Depositing User:	Michael Jerrycho Purba
Date Deposited:	10 Aug 2022 02:09
Last Modified:	10 Aug 2022 02:09
URI:	http://repository.unsri.ac.id/id/eprint/75378

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