Selection of a Resource Estimation Method for Monywa K and L Copper Deposits in Myanmar

Abstract

Realization of good returns in the mining venture needs careful planning, scheduling, design and optimization of all mining activities which are dependent upon reliable resource estimates. The mineral resource estimation method employed in a deposit thus plays a major role in reduction of risks associated in mining. In this study, indicator kriging, ordinary kriging and inverse distance weighting methods are compared for Monywa K and L deposits. Correlation coefficients in the regression analysis of downhole composites compared with the ordinary kriging estimates for K and L deposits were 0.982 and 0.985 respectively, thus selecting it as the best estimator for the two deposits.

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Funding

The authors are grateful to the CRSRI Open Research Program, SN : CKWV2018471/KY, the National Nature Science Foundation of China, grants nos. 51804235 and 41672320, and the National Key R&D Plan, grant no. 2018YFC0808405 for their financial support.

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Correspondence to H. Gang.

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Published in Fiziko-Tekhnicheskie Problemy Razrabotki Poleznykh Iskopaemykh, 2020, No. 1, pp. 92–103.

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Mwangi, A.D., Jianhua, Z., Innocent, M.M. et al. Selection of a Resource Estimation Method for Monywa K and L Copper Deposits in Myanmar. J Min Sci 56, 84–95 (2020). https://doi.org/10.1134/S1062739120016515

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Keywords

  • Indicator kriging
  • ordinary kriging
  • inverse distance weighting
  • resource estimation