Scholarly record
DESIGN OF OPEN PIT PUSH-BACKS IN CHADORMALU IRON MINE OF IRAN USING SURPAC
Abstract
In open pit mine planning, push back mining sequence is widely used for long-term production planning. These push backs are designed with haul road access and act as a guide during the yearly scheduling process. Therefore, pushback design plays a key role in defining annual cash flows to be generated from a mining operation. In push back design, a series of nested pits is generated and then considered as possible push backs with regard to the minimum push back width requirements. These nested pits are produced by parameterizing on one economic parameter like commodity price, mining or processing cost, stripping ratio etc. The most important character of these push backs is that the inner most push back has the highest value per tone, the second inner most push back has the second highest value per tone and so on. These nested pits are generated based on the best estimation of grade within a representation of the ore body in a three dimensional matrix form. In this study Chadormalu open pit push backs are generated by price parameterizing using Surpac software.
Publication details
References11
Whittle, J., 1989, “The Facts and Fallacies of Open Pit Optimization”. Whittle Programming Pty., Ltd., North Balwyn, Victoria, Australia.
Dagdelen, K., 2000. “Open pit optimization - Strategies for improving economics of mining projects through mine planning”. Application Computers for Mining Industry,2000.
Lerchs, H. and Grossman, F., 1965. “Optimum design of open -pit mines”. Transaction CIM, Vol. 58, No.633, pp 47-54.
Zhao, H. and Kim, Y.C., 1992. “A New Optimum Pit Limit Design Algorithm”. 23rd International Symposium on the Application of Computers and Operations Research in The Mineral Industries, pp. 423-434. AIME, Littleton, Co.
Johnson, T.B., and Barnes, J., 1988. “Application of Maximal Flow Algorithm to Ultimate Pit Design”. Engineerin g Design: Better Results through Operations Research Methods. North Holland, pp 518-531.
Yegulalp, T.M. and Arias, J.A., 1992. “A Fast Algorithm to Solve Ultimate Pit Limit Problem”. 23rd International Symposium on the Application of Computers and Operations Research in The Mineral Industries, pp. 391-398. AIME, Littleton, Co.
Lane, K.F., 1964, “Choosing the Optimum Cutoff Grade”, Colorado School of Mines Quarterly, Vol. 59, pp. 811-829.
Surpac Vision Reference manual, version 5.1.
SRK Consulti ng Group, (report), 2002. Chadormalu prelim inary pit slope design, 52
Dagdelen, K. and Johnson, T.B., 1986, "Optimum Open Pit Mine Production Scheduling by Lagrangian Parameterization", Proceeding of the 19th International Symposium on the Applicat ion of Computers and Operations Research in the Mineral Industry, Pennsylvania State University, University Park, Pennsylvania, April, l986. Chapter 13, pp 127-142.
Wang, Q. and Sevim, H., 1995. “Alternative to parameterization in finding a series of maximum -metal pits for production planning”. Mining Engineering, pp. 178- 182, February 1995. 6th International Multidisciplinary Scientific GeoConference SGEM2006 www.sgem.org
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.