Computer Monte Carlo simulation in quantitative resource estimation
Nonrenewable Resources
By: D. H. Root, W. D. Menzie, and W.A. Scott
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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.
Suggested Citation
Root, D.H., Menzie, W., Scott, W., 1992, Computer Monte Carlo simulation in quantitative resource estimation: Nonrenewable Resources, v. 1, no. 2, p. 125-138, https://doi.org/10.1007/BF01782266.
| 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 |
| Larger Work Title | Nonrenewable Resources |
| First page | 125 |
| Last page | 138 |