Abstract
In a prominent open-pit copper mine in India, a non-Gaussian copula-based simulation model is developed to estimate recoverable reserves. This groundbreaking research serves as an investigation into the potential and effectiveness of copula-based simulation models in the field of reserve estimation. The methodology involves comparing two specific selectivity curves: grade-ore tonnage and grade-metal tonnage. These curves are constructed using the copula-based simulation technique, as well as multi-Gaussian kriging, disjunctive kriging, and actual production data derived from blasting operations within the mine. The results indicate that, in the context of estimating recoverable reserves, the copula-based simulation method outperforms both multi-Gaussian kriging and disjunctive kriging.
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Dinda, K., Samanta, B. (2023). Non-Gaussian Copula Simulation: A New Approach to Recoverable Reserve Estimation in Indian Open-pit Copper Deposit. In: Sinha, A., Sarkar, B.C., Mandal, P.K. (eds) Proceedings of the 10th Asian Mining Congress 2023. AMC 2023. Springer Proceedings in Earth and Environmental Sciences. Springer, Cham. https://doi.org/10.1007/978-3-031-46966-4_4
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