Utilizing the statistical and geostatistical implement in evaluation of grade deviation of concentrating plant feed of Sarcheshmeh copper plant

Grade deviation between the feed and the consumption of concentration plant was a great debate from the beginning of the Sarcheshmeh copper mine operations until now. However، the ore dressing plant is designed in such a way to work optimally base on specific input feed. Therefore، the error identification of different sampling procedure and grade deviation investigation between the feed of the mine and the consumption of the concentrating plant is essential. With determination of limit allowance of adequate parameters in deviation variance and make use of them in daily product schedual، it is possible to reduce the grade deviation. In this research with utilizing the statistical and geostatistical implement an evaluation method of accurate grade deviation of concentrating plant feed is presented so that with the help of its result، possibility these deviations with the predicted deviations of feed of mine gets provided in terms of shift or daily scheduals. To apply this research in a particular day، 50000 ton feed compared with grade 0. 89± 0. 05 that this grade lies within the limitation of predicted grade of 0. 93±0. 06 and limitation of operation grade 0. 89± 0. 05 (at 95% confidence limit). Finally suggested that in order to reduce the grade deviation and to optimize the recovery of the concentrating plant of Sarcheshmeh copper ore، no sampling should be done from the concentrating plant feed but instead the operation grade of mine should be counted for the concentrating metallurgical calculations، provided from the 100 continuous days، 95 grade cases of concentrating plant feed should lie in the operation grade of confidence limit of the mine.