ایوب نیکخواه

In open pit mines, the extraction of ore rock with minimum price and good quality is the most important mining goal. In this paper, the impact of underground water on production costs and mining process has been investigated. For this purpose, the parameter specific crushing(S_cr ), measured and used. To evaluate mining operation in dry and wet conditions of database in two parts of production costs and mining operations of two blasts, holes with diameter of 6 inches were created. The difference of two different conditions of mining in increasing production costs and reducing production performance is observed such that the costs including drilling cost, blast cost, total drilling and blast costs, loading cost are increased respectively, equal to 83.33, 450, 266.67 and 200 percent in wet mining conditions compared with dry conditions. Rock crushing cost due to crushing amount is almost similar in both conditions. Also, wet mining conditions cause reducing the production yield of Sarcheshmeh copper mine such that production performance in sections including special loading and index specific mining operations unit has been decreased respectively, equal to 33.34 and 198.85 percent compared to dry conditions. In order not to use waterproof explosives, improvement of mining operations index and reduction of project production costs, it is necessary to determine the model of underground water of Sarcheshmeh copper mine. Desirable mining operation will be provided with lower cost with sustainable development by drainage of underground water in open pit mines.

Producing more fragmented rock by blasting requires increased costs in drilling and blasting operations. On the other hand, it leads to a reduction of loading, haulage operation and no need for secondary blasting. In this study, the effective parameters in machinary efficiency of Sarcheshmeh Copper Mine was explored. For this purpose, the ratio parameter of length to width of the blast block (RLW) and the Loading parameters including Operation(O1), Failure(F1), Ready (R1), Movement of loading machine (M1), were introduced, measured and used. The blasing block's ratio of length to width (RLW) parameter is presented in most of the proposed models. This parameter has been effective in efficiency of loading machinary. The high correlation coefficient of a loading cycle of machine’s bucket (C1) with the independent variables shows that this variable is more affected by the fragmentaion and the dimensions of blasted blocks. The best and the worst of a loading cycle of machine’s bucket (C1) are equal to 14.38 and 51.15 seconds in Sarcheshmeh Copper minefor which (D50) corresponds to 3.02 and 10.39, cm respectively and (D80) equals to 6.69 and 24.49 cm, respectively. The Correlation coefficient of 0.8 for specific loading (S1) indicates the high influence of fragmentation caused by blasting operations on specific loading (S1).