Evaluation of the uncertainty in estimation of metal resources of skarn tin in Southern China |
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| Authors: | Renguang Zuo Qiuming Cheng Frederik P Agterberg Qinglin Xia |
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| Institution: | aState Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan, Hubei, 430074, PR China;bDepartment of Earth and Space Engineering, Department of Geography, York University, Toronto, 4700 Keele Street, Ontario, Canada M3J 1P3;cGeological Survey of Canada, 601 Booth Street, Ottawa, Ontario, Canada K1A 0E8 |
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| Abstract: | 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. |
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| Keywords: | Mineral resources exploration Uncertainty Fractal Monte Carlo Tin deposit |
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