DBPapers
DOI: 10.5593/SGEM2014/B13/S3.005

APPLICATION OF GAMES WITH INCOMPLETE INFORMATION FOR PROGRAMMING DEPOSIT EXPLOITATION – THE CASE OF AN ORE MINE

M. Krzak
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-09-4 / ISSN 1314-2704, June 19-25, 2014, Book 1, Vol. 3, 31-40 pp

ABSTRACT
Deposit exploitation requires effective managing by applying some actions, covering i.a. planning and decision-making. Usually, the basic strategic tasks of a mine include accomplishing the process of useful mineral exploitation, tending to minimize operational costs and optimizing resources’ utilization. Proper decisions result in decreasing resources’ losses, improving economic effects of geological-mining processes and prolonging a mine’s lifetime. Solving the above-listed tasks, as well as further ones referring to the broadly understood deposit management, requires technological progress on one hand and working out economic tools on the other. On the planning and decision-making stage, the results of operational researches are usually taken into consideration, offering a bulk of mathematical and statistical tools, providing technical support in pointing out methods and optimal solutions of stated problems. The deposits – in particular ore deposits – are interesting objects, as the same kind of useful mineral can establish various genetic types of deposits, of varied form and structure. On the stage of deposit opening and its further exploitation, it is important to provide its precise outline, together with identification of changeability of usefulmineral’s quality, and transforming geological-mining features onto technical and economical parameters. This paper takes up the trials to adapt Bayesian games in scheduling the division choice dedicated for exploitation in a Zn-Pb ore mine. The decision problem, presented here as the game between the decision-maker (the mine) and the changing states of nature, was solved with the application of tools from theory of games, referring to the class of games with incomplete information. Such kinds of games allow taking into consideration the uncertainty of the players about both the game itself and the possible payoffs.

Keywords: Bayesian game, incomplete information, mineral deposit management
INTRODUCTION