Evaluation of the uncertainty in estimation of metal resources of skarn tin in Southern China

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• 作者：Renguang Zuo ; Qiuming Cheng ; Frederik P. Agterberg ; Qinglin Xia
• 关键词：Mineral resources exploration ; Uncertainty ; Fractal ; Monte Carlo ; Tin deposit
• 刊名：Ore Geology Reviews
• 出版年：2009
• 出版时间：June 2009
• 年：2009
• 卷：35
• 期：3-4
• 页码：415-422
• 全文大小：685 K

文摘

This study is concerned with the problem of how many undiscovered mineral deposits can be expected to occur in the vicinity of any known deposit, especially if the deposit is nearly mined out. Skarn tin deposits in southern China were chosen to demonstrate that fractal modeling can be a useful tool to characterize the spatial–temporal distribution of mineral deposits, and to quantify their grades and tonnages. The results show that the spatial–temporal distribution of skarn tin deposits as well as their grades and tonnages satisfy fractal statistic, and suggest that 14 skarn tin deposits could be found around a known skarn tin deposit within a radius of 80 km. Monte Carlo simulation was used to combine the number of deposits and the frequency distributions of grade and tonnage and to capture the uncertainty in estimation of metal resources. At the 90 % , 50 % and 10 % confidence levels, tin metal resources amount to 6 ton, 200 ton, and 1.0 × 10⁴ ton around a known tin deposit within a radius of 80, respectively.