Mineral exploration procedures always need to integrate data in order to consider a vast range of combinations and to underline different hypotheses. Reserves estimation, either globally or regionally, has become a typical geostatistical application within the mining industry. Kriging could be a geostatistical interpolation technique utilized in the mining industry for interpolation of input purpose information and estimation of a block model (mineral resource model). In order to estimate Wadi Al Shati iron ore deposit, input data gained from 109 boreholes were used. Fe grade was selected as the major regional variable on which the present research has focused. Studies indicated that iron grade input data had single population characteristics of the area which is totally covered with sand dunes to discover any probable occurrence of iron ore. The results showed that the iron ore belt still extends the west and southwest part under the sand dunes. Finally, a new potential map for the areas of iron ore deposit was produced.


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