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Non-Gaussian Copula Simulation for Estimation of Recoverable Reserve in an Indian Copper Deposit

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Abstract

The present study developed a geostatistical simulation technique based on non-Gaussian copula for recoverable reserve estimation considering support effect of a well-known open-pit mine of a copper deposit in India. The focus was to examine the efficacy of copula-based simulation model in recoverable reserve estimation. It was assessed by comparing three selectivity curves like grade–ore tonnage, grade–metal tonnage and ore–metal tonnage of reserve constructed using the copula-based simulation, disjunctive kriging and multi-Gaussian kriging with respect to the production data of blasting. The results informed that the copula-based simulation technique provided better accuracy than the nonlinear geostatistical techniques of disjunctive kriging and multi-Gaussian kriging. The root mean square error and standard error analysis indicated that the copula-based simulation model provided more accurate estimates compared with disjunctive kriging and multi-Gaussian kriging. All the three techniques yielded biased estimates, but the least bias was attributed to the copula-based simulation technique.

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Acknowledgments

This work is carried out under the funded project of Ministry of Mines, India. Both the authors gratefully acknowledge this funding.

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Authors and Affiliations

  1. Advanced Technology Development Centre, Indian Institute of Technology, Kharagpur, 721302, India

    Krishna Dinda

  2. Department of Mining Engineering, Indian Institute of Technology, Kharagpur, 721302, India

    Biswajit Samanta

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  1. Krishna Dinda
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  2. Biswajit Samanta
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Correspondence to Biswajit Samanta.

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Dinda, K., Samanta, B. Non-Gaussian Copula Simulation for Estimation of Recoverable Reserve in an Indian Copper Deposit. Nat Resour Res 30, 57–76 (2021). https://doi.org/10.1007/s11053-020-09734-z

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