3448 Minable Coal Reserve Estimation by incorporating tonnage and calorific value uncertainties by successive multiple-point and two-point geostatistical simulation algorithms
DOI:
https://doi.org/10.17159/Abstract
Estimating reserves and quantifying resources are crucial yet complex tasks in coal mining operations, particularly due to intricate geological formations. Geological uncertainties, including tonnage and coal quality, significantly influence resource and reserve calculations. This research focuses on these uncertainties, specifically calorific value (CV), to numerically characterize resources and reserves in an open-pit coal mine in Indonesia. Using the multi-point geostatistical technique Single Normal Equation Simulation (SNESIM), we simulated the coal seam geometry. A geologically established coal seam served as the training image, generating 20 equiprobable coal models. For CV simulation, 50 realizations were created for each simulated coal seam using sequential Gaussian simulation. Simulated coal seams showed deviations from -0.07% to 5.48% compared to the training image. The CV simulation yielded an average of 5920.29 kcal/kg with a standard deviation of 586.54 kcal/kg, and average CV values ranged from 5305.26 to 6526.55 kcal/kg. For reserve calculation under geological uncertainties, a maximum flow graph theory-based algorithm was used to construct the ultimate pit. This final pit had an average stripping ratio of 1.62 and a CV of 6019.66 kcal/kg. Compared to the deterministic model, the stochastic ultimate pit showed a larger excavation and increased undiscounted cash flow.Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Fanteri Suparno, Amol Paithankar, Snehamoy Chatterjee
This work is licensed under a Creative Commons Attribution 4.0 International License.
THE INSTITUTE, AS A BODY, IS NOT RESPONSIBLE FOR THE STATEMENTS AND OPINIONS ADVANCED IN ANY OF ITS PUBLICATIONS.
Copyright© 1978 by The Southern African Institute of Mining and Metallurgy. All rights reserved. Multiple copying of the contents of this publication or parts thereof without permission is in breach of copyright, but permission is hereby given for the copying of titles and abstracts of papers and names of authors. Permission to copy illustrations and short extracts from the text of individual contributions is usually given upon written application to the Institute, provided that the source (and where appropriate, the copyright) is acknowledged. Apart from any fair dealing for the purposes of review or criticism under The Copyright Act no. 98, 1978, Section 12, of the Republic of South Africa, a single copy of an article may be supplied by a library for the purposes of research or private study. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means without the prior permission of the publishers. Multiple copying of the contents of the publication without permission is always illegal.
U.S. Copyright Law applicable to users In the U.S.A.
The appearance of the statement of copyright at the bottom of the first page of an article appearing in this journal indicates that the copyright holder consents to the making of copies of the article for personal or internal use. This consent is given on condition that the copier pays the stated fee for each copy of a paper beyond that permitted by Section 107 or 108 of the U.S. Copyright Law. The fee is to be paid through the Copyright Clearance Center, Inc., Operations Center, P.O. Box 765, Schenectady, New York 12301, U.S.A. This consent does not extend to other kinds of copying, such as copying for general distribution, for advertising or promotional purposes, for creating new collective works, or for resale.
