Optimisation of waste-dump lift heights for pre-strip operations

Lucas, Robert and Kizil, Mehmet Siddiq (2014). Optimisation of waste-dump lift heights for pre-strip operations. In: Naj Aziz, Bob Kininmonth, Jan Nemcik, Dennis Black, John Hoelle and Ismet Cunbulat, Proceedings of the 2014 Coal Operators' Conference. Coal 2014: Australian Coal Operators' Conference 2014, Wollongong, NSW, Australia, (427-436). 12-14 February, 2014.

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Name Description MIMEType Size Downloads
Author Lucas, Robert
Kizil, Mehmet Siddiq
Title of paper Optimisation of waste-dump lift heights for pre-strip operations
Conference name Coal 2014: Australian Coal Operators' Conference 2014
Conference location Wollongong, NSW, Australia
Conference dates 12-14 February, 2014
Proceedings title Proceedings of the 2014 Coal Operators' Conference
Place of Publication Wollongong, NSW, Australia
Publisher University of Woollongong
Publication Year 2014
Sub-type Fully published paper
ISBN 9781925100020
Editor Naj Aziz
Bob Kininmonth
Jan Nemcik
Dennis Black
John Hoelle
Ismet Cunbulat
Start page 427
End page 436
Total pages 10
Collection year 2015
Language eng
Formatted Abstract/Summary
The optimisation of waste dump design parameters is a vital aspect that has the potential to significantly influence operational costs within mining operations. This research study investigates the effects waste dump lift height has on a truck-shovel coal mining operation. The analysis focusses upon simulating various dump lift heights in a truck-shovel operation in order to determine the optimal overall dump lift height. The dump lift height is the height to which each dump level or lift is constructed. The optimal height will therefore be determined by plotting the simulated cost results for each height and undergoing a comparative study. Additional factors incorporated within the simulation results include the cost of haulage, and ancillary equipment works (dozers, graders and water cartsto maintain the dump and construct haul roads to each new dump lift. Generating results from the research analysis to closely resemble real world applications, current mine data is incorporated within each simulation, including dig, dump and equipment data obtained from King 2 North pit of the Meandu mine located in Queensland.
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Tue, 04 Mar 2014, 13:06:20 EST by Jon Swabey on behalf of School of Mechanical and Mining Engineering