Optimum blending of iron ore from Choghart stockpiles by using goal programming

Abstract

Iron and steel industry is an important sector of Iran’s economy. Choghart iron ore mine is an important iron ore producer of Iran steel industry. Phosphorous contained in the iron ore concentrates of Choghart mine has a detrimental effect on the steel making process, whereby this causes cracks to form in the refractory lining of blast furnaces. In the past, about 1.43 Mt of low-grade and 4.53 Mt of high-phosphorous materials had been transported to low grade and high phosphorous stockpiles, respectively, for future beneficiation. As a result of the progressive depletion of high-grade ore and establishment of beneficiation plant in Choghart, exploitation of these two stockpiles in this mine became an important issue. In this work, a linear goal programming (GP) model was developed in order to determine the optimum iron ore blend in terms of quality from low grade and high phosphorous stockpiles of Choghart mine. The model was solved by the SOLVER V.9 program. Results show that feeding with acceptable quality (w(Fe)≥50% and w(P)≤1.2%, mass fraction) materials can be blended from stockpiles that satisfy the needs of the Choghart processing line.

Keywords

processing plant / short term production scheduling / goal programming / stockpile

References

[1] DALIRAN F. REE geochemistry of Bafq Apatites, Iran: Implication for the genesis of Kiruna-type iron ores [C]// STANCLY et al, Eds. Proceedings of Mineral Deposits and Processes to Processing. Balkema, Netherlands, 1999: 631–634.

[2] MooreF., ModabberiS.. Origin of choghart iron oxide deposit, bafq mining district, entral Iran: New isotopic and geochemical evidence [J]. Journal of Sciences, Islamic Republic of Iran, 2003, 14(3): 259-269

[3] KasmaeeS., GholamnejadJ., YarahmadiA., MojtahedzadehS. A.. The reserve estimation of high phosphorous stockpile in Choghart Iron mine of iran by using geostatistical modeling [J]. Journal of Mining Science and Technology, 2010, 20: 0855-0860

[4] Surpac Usres Manual, Version V5.2-D, Surpac Minex Group, 2006.

[5] ZHANG You-di, CAI Qing-xiang, WU Li-xin, ZHANG Da-xian. Combined approach for surface mine short term planning optimization [C]// Proceedings of 23rd International Symposium 1992-Application of Computers and Operations Research, Chapter 49 — Mine Design and Planning — II, 1992: 499–507.

[6] CharnesA., CooperW. W.Management models and industrial applications of linear programming [M], 1961New YorkJohn Wiley & Sons469-859

[7] RAMAZAN S, DIMITRAKOPOULOS R. Stochastic optimization of long-term production scheduling for open pit mines with a new integer programming formulation [C]// Prpceedomgs of Ore body Modeling and Strategic Mine Planning-Uncertainty and Risk Management International Symposium. Perth, Australia, 2004: 353–359.

[8] GholamnejadJ., OsanlooM., KarimiB.. A chance-constrained programming approach for open pit long-term production scheduling in stochastic environments [J]. The Journal of the South African Institute of Mining and Metallurgy, 2006, 106: 105-114

[9] GholamnejadJ., OsanlooM., KhorramE.. A chance constrained integer programming model for open pit long-termproduction planning [J]. IJE Transactions A: Basics, 2008, 21(4): 307-318

[10] GholamnejadJ.. A zero-one integer programming model for open pit mining equences [J]. The Journal of the South African Institute of Mining and Metallurgy, 2008, 108: 759-762