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Mokhtarian, M.
- Geological Modeling and Short-Term Production Planning of Dimension Stone Quarries Based on Market Demand
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Authors
Affiliations
1 University of Urmia, Urmia, IR
2 Department of Mining and Metallurgical Engineering, Urmia University of Technology, Urmia, IR
1 University of Urmia, Urmia, IR
2 Department of Mining and Metallurgical Engineering, Urmia University of Technology, Urmia, IR
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 80, No 3 (2012), Pagination: 420-428Abstract
In order to obtain minimum amount of ore wastage and maximum profitability in dimension stone quarries an optimal short-term production planning procedure has been established here according to the market demand. As the base of this procedure geological modelling has been first created and smoothing of ore-body boundaries was done. Then, an economical block model has been provided. In the next step, all probable shapes of minable-blocks were specified and their priorities in assignment were done according to desired size of the blocks by market demand. Finally, searching from a base sub-block was started in order to find the optimal plan. The procedure has been used for a dimension marble quarry located in northwest of Iran. It demonstrates a decrease about 26% of ore wastage and 21.3% of diamond wire assumption with comparing to the existent traditional procedure.Keywords
Dimension Stone Quarry, Geological Modelling, Short-Term, Production Planning, Market Demand, Iran.
References
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- Artificial Neural Network or Empirical Criteria? A Comparative Approach in Evaluating Maximum Charge per Delay in Surface Mining - Sungun Copper Mine
Abstract Views :189 |
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Authors
Affiliations
1 Department of Mining Engineering, Urmia University of Technology, West Azerbaijan, IR
2 Department of Mining Engineering, University of Urmia, West Azerbaijan, IR
1 Department of Mining Engineering, Urmia University of Technology, West Azerbaijan, IR
2 Department of Mining Engineering, University of Urmia, West Azerbaijan, IR
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 79, No 6 (2012), Pagination: 652-658Abstract
Ground vibration due to blasting causes damages in the existence of the surface structures nearby the mine. The study of vibration control plays an important role in minimizing environmental effects of blasting in mines. Ground vibration regulations primarily rely on the peak particle velocity (PPV, mm/s). Prediction of maximum charge weight per delay (Q, kg) by distance from blasting face up to vibration monitoring point as well as allowable PPV was proposed in order to perform under control blasting and therefore avoiding damages on structures nearby the mine. Various empirical predictor equations have proposed to determine the PPV and maximum charge per delay. Maximum charge per delay is calculated by using PPV predictors indirectly or Q predictor directly. This paper presents the results of ground vibration measurement induced by bench blasting in Sungun copper mine in Iran. The scope of this study is to evaluate the capability of two different methods in order to predict maximum charge per delay. A comparison between two ways of investigations including empirical equations and artificial neural network (ANN) are presented. It has been shown that the applicability of ANN method is more promising than any under study empirical equations.Keywords
Blasting, Maximum Charge Per Delay, PPV, Empirical Criteria and ANN.References
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