<http://purl.org/dc/terms/description>
"This paper describes a statistically based framework for determining mine closure costs. A range of future\r\npotential mine closure scenarios are established and described using a decision tree approach. This allows for\r\nconsideration of a large number of combinations of closure elements for the various mine facilities. The\r\ndecision tree is used to establish a cost probability curve that in turn provides for determining closure costs at\r\ndifferent levels of confidence. It is also used to identify the high risk and high cost elements. Monte Carlo\r\ntechniques are also employed to determine the cost variability of individual mine closure scenarios such as the\r\nexpected cost or the most likely closure scenario. This approach avoids the difficulty of trying to establish a\r\nsingle closure cost estimate and provides closure cost and probability information that can be used in feasibility\r\nevaluations, budgeting, reserve setting and also for the prioritization and management of high cost risks.\r\n[All papers were considered for technical and language appropriateness by the organizing committee.]"@en
<https://open.library.ubc.ca/cIRcle/collections/59368/items/1.0107717>