Stochastic analysis of dig-limit optimisation using simulated annealing
DOI:
https://doi.org/10.17159/Abstract
The results of dig-limit delineation in open-pit mining are never truly optimised due to gaps in the underlying data, for example, due to insufficient sampling. Aside from the data uncertainty, there is also an influence on the final dig-limit by either human or by the heuristic character of an optimisation method like simulated annealing. Several dig-limit optimisers have been published which can replace the manual dig-limits designing process. However, these dig-limit designs are generally not adapted to account for this heuristic character. Therefore, this paper shows a stochastic analysis tool that can be used with the results of heuristic dig-limit optimisation. First, an enhanced simulated annealing algorithm for dig-limit optimisation is presented. This algorithm is tested on 10 different blasts of a gold mine as a case study. The results are analysed with a destination-based ensemble probability map and with an analysis of the final solution data distribution. The generated dig-limit designs of the algorithm include high revenue areas that were excluded in comparable manual designs and showed improved objective and revenue values. The analysis tool provides block destination probabilities and boxplots with the distribution of opportunity value for the dig-limit. Furthermore, with the analysis tool, it is possible to make well-informed design decisions on the areas with uncertainty.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Jeroen Robert van Duijvenbode, Masoud Soleymani Shishvan
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.
