Comparative Study of Localized Block Simulations and Localized Uniform Conditioning in the Multivariate Case

  • Jacques Deraisme
  • Winfred Assibey-Bonsu
Part of the Quantitative Geology and Geostatistics book series (QGAG, volume 17)


The general indirect estimation technique of recoverable resources during long-term planning derives the unknown Selective Mining Unit (SMU) distribution from the modeled distribution within large kriged blocks (panels). The Multivariate Uniform Conditioning (MUC) technique provides a consistent framework to achieve this task with the practical advantage, in that no specific hypothesis on the correlation between the respective secondary elements is required. The Localized MUC (LMUC) technique has been developed to enhance the indirect MUC by localizing the results at the SMUs scale. The paper investigates the possibility of improving the LMUC estimates through multivariate block simulations which incorporate all the correlations of the secondary and main elements. The tonnages and metals represented by the simulated grade tonnage curves are used to derive probable tonnages and metals, which are decomposed and distributed into the SMUs referred to as Localized Multivariate Simulated Estimates or LMSE. After a review of MUC, Direct Block Simulations (DBS), LMUC and LMSE a comparative case study based on a porphyry copper gold deposit in Peru is presented.


Ordinary Kriging Variogram Model Gaussian Variable Sulphide Zone Recoverable Resource 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors are grateful to Gold Fields for permission to publish this paper based on a case study of the Group’s Cerro Corona mine.


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Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  1. 1.GeovariancesAvonFrance
  2. 2.Geostatistics & EvaluationGold Fields Ltd.West PerthAustralia

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