عنوان مقاله [English]
In the cases of the distance between data is large compared with the dimensions of the block, using the estimation techniques based on linear regression for modeling small blocks are inappropriate. It is proposed to overcome this problem; use a new method called localized uniform conditioning (LUC) which is result of a series of corrections on a uniform method (UC). In this research, the application of this method for SMU classification into waste and ore based on 0.2% cutoff grade has been compared with the conventional estimation method in the Miduk copper mine. Based on the blast holes, for the two extraction panels, 2450 and 2465, their results showed that the total blocks were separated to 4% waste and 96% of the ore; therefore, the ore percentage changes were considered for the conclusion. For the method of Log-kriging, in these two panels, 49% of the separation of the ore is matched with the ore control output, while in the 51% of the cases the ore classified as waste. Also, according to the outputs of the localized uniform conditioning method, in these two benches, 98% of the classification of the ore was matched to the ore control output, and 2% of the separation of the ore was classified as waste. Therefore, even assuming the same level of cost due to under estimation and over estimation, the localized uniform conditioning method is more desirable.