%0 Journal Article %T UPL determination of multi-element deposits with grade uncertainty using a new block economic value calculation approach %J Journal of Mining and Environment %I Shahrood University of Technology %Z 2251-8592 %A Jamshidi, M. %A Osanloo, M. %D 2018 %\ 01/01/2018 %V 9 %N 1 %P 61-72 %! UPL determination of multi-element deposits with grade uncertainty using a new block economic value calculation approach %K BEV %K multi-element deposits %K Pit limits %K grade uncertainty %K Open-Pit Mining %R 10.22044/jme.2017.5763.1387 %X The block economic value (BEV) of a single-metal deposit is calculated based on the metal content and the related costs. The common methods available for calculating BEV are just based upon the profitable elements, and the effects of undesirable elements on BEV are not considered. However, in multi-element deposits, the effects of other elements existing in the blocks on BEV should be considered with the purpose of optimizing the blending. These elements and blending methods have considerable effects on the quality of the final product. In this paper, a new approach is introduced to determine BEV in multi-element deposit with two types of profitable and penalty elements by considering the effect of blending on BEV. Consequently, the ultimate pit limits (UPLs) will be determined based on these conditions. The developed model is tested in the Gol-e-Gohar No.2 iron-ore mine, and the mine UPLs is determined. The results obtained showed that the mineable reserve of the pit increased by 3% when the effects of both types of elements are considered. In order to investigate the effect of grade uncertainty on BEV, twenty realizations of the ore block are generated using the sequential Gaussian simulation approach. The UPLs of all the realizations are determined using the developed BEV-calculation method, and the pit limits with different probabilities of occurrence are determined. The total mineable reserve varied between 20,380 and 46,410 million tons. The exploitation of mine should start with the smallest pit (100% probability). The largest pit should be considered as a guide for surface-facility locating. %U https://jme.shahroodut.ac.ir/article_1041_73fc2cb3712477ac9d3945614d5b07c4.pdf