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Computer Monte Carlo simulation in quantitative resource estimation

Nonrenewable Resources

By:
, ,
DOI: 10.1007/BF01782266

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Abstract

The method of making quantitative assessments of mineral resources sufficiently detailed for economic analysis is outlined in three steps. The steps are (1) determination of types of deposits that may be present in an area, (2) estimation of the numbers of deposits of the permissible deposit types, and (3) combination by Monte Carlo simulation of the estimated numbers of deposits with the historical grades and tonnages of these deposits to produce a probability distribution of the quantities of contained metal. Two examples of the estimation of the number of deposits (step 2) are given. The first example is for mercury deposits in southwestern Alaska and the second is for lode tin deposits in the Seward Peninsula. The flow of the Monte Carlo simulation program is presented with particular attention to the dependencies between grades and tonnages of deposits and between grades of different metals in the same deposit. ?? 1992 Oxford University Press.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Computer Monte Carlo simulation in quantitative resource estimation
Series title:
Nonrenewable Resources
DOI:
10.1007/BF01782266
Volume
1
Issue:
2
Year Published:
1992
Language:
English
Publisher location:
Kluwer Academic Publishers
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
First page:
125
Last page:
138
Number of Pages:
14