Application of Conditional Sequential Gaussian Simulation in Uncertainty Assessment of the Estimated Blocks Grade in Sordid Phosphate Mine

Document Type : Research Article

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Abstract

Ore reserve amount and grade are critical variables in determining technical and economical indicators. These factors always associate with uncertainty. Therefore it is essential to assess risk along with them by using appropriate methods. One of these methods is conditional simulation that allows providing probability maps and determining orebody risk rate. Unlike the common geostatistical estimation methods which involve some sort of smoothing, conditional simulation provides a tool for quantifying risk rate along with grade and design and planning parameters. In this research sequential Gaussian simulation has been applied to assess the uncertainty associated with reserve grade and tonnage of Esfordi phosphate mine and prepared confidence interval and E-type maps. Finally, the rate and the effect of estimated risk have been assessed and analyzed. According to simulation result, ore reserve of Esfordi mine is between 12/212 and 18/835 tones and the average of ore amount is 15/269 with average grade of 16/8%. The results show 30% -risk with blocks

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History

  • Receive Date: 12 October 2011
  • Revise Date: 09 February 2012
  • Accept Date: 09 May 2012

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