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Using the Destination Scheduler Underground at Olympic Dam Xpac Symposium May 2005 Stuart Mills Long Term Scheduler.

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Presentation on theme: "Using the Destination Scheduler Underground at Olympic Dam Xpac Symposium May 2005 Stuart Mills Long Term Scheduler."— Presentation transcript:

1 Using the Destination Scheduler Underground at Olympic Dam Xpac Symposium May 2005 Stuart Mills Long Term Scheduler

2 ”Plan the Mine – Mine the Plan” 2 Location Plan Copper, Uranium, Gold, Silver

3 ”Plan the Mine – Mine the Plan” 3 Olympic Dam Milestones 1975Cu, U, Au, Ag Orebody was discovered 1988Mine production began - 45,000 t/a Cu 1992Expansion to 66,000 t/a Cu 1995Expansion to 84,000 t/a Cu 1996Major expansion to 9 million tonne hoist, 200,000 t/a Cu 1999200,000 t/a Cu Expansion Completed 2000Expansion to 235,000 t/a Cu 2003Proposal to Hoist 12 million tonnes Investigated 2004Development study commenced for Southern Mine Area YEAR EVENT

4 ”Plan the Mine – Mine the Plan” 4 Geology

5 ”Plan the Mine – Mine the Plan” 5 Xpac at Olympic Dam 1989Xpac 6 used for Long Term Scheduling 1998Stage 1 – Xpac Autoscheduler Model Created for Long Term Scheduling 2000Stage 2 - Xpac Autoscheduler Introduced to Site for Medium Term Scheduling using a Modified Long Term Model 2001Stage 3 OD Xpac Model - Medium Term Scheduling Rules Expanded, Rail Spur Constraint, Truck and Loader Reports 2004Stage 4A OD Xpac Model - Xpac Spatial Rules Integrated into Model for Geotechnical Rules 2005Stage 4B OD Xpac Model - Utilising Advanced Destination Scheduling YEAR

6 ”Plan the Mine – Mine the Plan” 6 Destination Scheduler Why incorporate Destination Scheduling into an Underground Scheduling Model? Why incorporate Destination Scheduling into an Underground Scheduling Model? Size and Complexity of Olympic Dam mine Size and Complexity of Olympic Dam mine Ore Handling System Ore Handling System Distribution of Ore Distribution of Ore

7 ”Plan the Mine – Mine the Plan” 7 Size and Complexity of Olympic Dam Greater than 20 years mine life Greater than 20 years mine life Large number of stopes > 10,000 Large number of stopes > 10,000 2005 Mine Forecast 2005 Mine Forecast 10 million Tonne Ore Hoist 10 million Tonne Ore Hoist 235,000 tonnes Contained Copper 235,000 tonnes Contained Copper 6000 tonnes Contained Uranium 6000 tonnes Contained Uranium ?? ounces Contained Gold ?? ounces Contained Gold ?? ounces Contained Silver ?? ounces Contained Silver

8 ”Plan the Mine – Mine the Plan” 8

9 9 Material Handling Layout

10 ”Plan the Mine – Mine the Plan” 10 Material Handling Layout Clark Shaft - 9 million tonnes Capability Clark Shaft - 9 million tonnes Capability 2 Trains, 16 Trucks per Train (300t per train) 2 Trains, 16 Trucks per Train (300t per train) 5 Rail Spurs 5 Rail Spurs 14 Ore Passes 14 Ore Passes 47 Grizzlies 47 Grizzlies 10,000 Stopes 10,000 Stopes

11 ”Plan the Mine – Mine the Plan” 11 Allocation of Stopes to Orepasses

12 ”Plan the Mine – Mine the Plan” 12 Allocation of Stopes to Rail Spurs

13 ”Plan the Mine – Mine the Plan” 13 Distribution of Ore Reserves DC1 Clark11 % DC2 Clark 5 % DCN1 Clark 6 % DCN2 Clark 6 % DSE1 Clark 10 % DSE2 Clark 3 % DSE3 Clark 3 % F1 Clark 4 % F2 Clark 1 % F3 Clark 4 % FN1 Clark 14 % FN2 Clark 3 % FN3 Clark 10 % FN4 Clark 9 % WDTWhenan11 % OrepassShaft Percentage of Reserves Assigned

14 ”Plan the Mine – Mine the Plan” 14 Distribution of Ore Reserves Rail Spur No. of Percentage of OrepassesReserves Assigned S1 Rail Spur 1 7 % S2 Rail Spur 2 20 % S3 Rail Spur 4 23 % N1 Rail Spur 3 10 % N2 Rail Spur 4 40 %

15 ”Plan the Mine – Mine the Plan” 15 The Problem Each stope was allocated to a single orepass Each stope was allocated to a single orepass When the Capacity Limit of the orepass or associated rail spur was reached When the Capacity Limit of the orepass or associated rail spur was reached Production from the stope would be shut down for the remainder of the period Production from the stope would be shut down for the remainder of the period Production Target could not be reached Production Target could not be reached

16 ”Plan the Mine – Mine the Plan” 16 The Problem

17 ”Plan the Mine – Mine the Plan” 17 Issues Capacity Limits are necessary to optimise the rail system Capacity Limits are necessary to optimise the rail system Rail system is more productive when ore is distributed evenly among orepasses Rail system is more productive when ore is distributed evenly among orepasses

18 ”Plan the Mine – Mine the Plan” 18 Destination Scheduler Solution Each stope has 4 orepasses allocated to it Each stope has 4 orepasses allocated to it In Descending Order of Priority In Descending Order of Priority Once mining from a stope reaches its primary orepass capacity in a period, the pass will be shut-down Once mining from a stope reaches its primary orepass capacity in a period, the pass will be shut-down Advanced Destination Scheduler will then dynamically select the next priority orepass to allow production from the stope to continue Advanced Destination Scheduler will then dynamically select the next priority orepass to allow production from the stope to continue

19 ”Plan the Mine – Mine the Plan” 19 Destination Scheduler Solution Each orepass in the model can be treated as a destination Each orepass in the model can be treated as a destination Constraints can be placed directly on each orepass, rather than the stopes allocated to each ore pass Constraints can be placed directly on each orepass, rather than the stopes allocated to each ore pass Constraints are also applied to groups of orepasses (ie the orepasses reporting to each rail spur, and all the passes reporting to the Clark Shaft) Constraints are also applied to groups of orepasses (ie the orepasses reporting to each rail spur, and all the passes reporting to the Clark Shaft)

20 ”Plan the Mine – Mine the Plan” 20 Database Structure

21 ”Plan the Mine – Mine the Plan” 21 Main Database

22 ”Plan the Mine – Mine the Plan” 22 Calendar Database

23 ”Plan the Mine – Mine the Plan” 23 Scheduling Results Once a schedule is completed the results are viewed in a formatted excel worksheet Once a schedule is completed the results are viewed in a formatted excel worksheet If an orepass, rail spur or shaft limit has been reached, a second orepass and its allocated tonnes will be shown against the stope If an orepass, rail spur or shaft limit has been reached, a second orepass and its allocated tonnes will be shown against the stope

24 ”Plan the Mine – Mine the Plan” 24 Reporting Reports can be more robust with the accurate modelling of the mining operation Reports can be more robust with the accurate modelling of the mining operation

25 ”Plan the Mine – Mine the Plan” 25 Opportunities Modelling of Risk Scenarios Modelling of Risk Scenarios Main Crusher out for Planned or Breakdown Maintenance Main Crusher out for Planned or Breakdown Maintenance Clark Shaft Unavailable Clark Shaft Unavailable Rail System Out, either total or a rail spur or an individual pass Rail System Out, either total or a rail spur or an individual pass Ability to model truck and loader resources required for any Risk Scenario Ability to model truck and loader resources required for any Risk Scenario

26 ”Plan the Mine – Mine the Plan” 26 Opportunities Cost Benefit of New Infrastructure Cost Benefit of New Infrastructure Modelling of New Mine Areas and associated Material Handling Options Modelling of New Mine Areas and associated Material Handling Options New Orepasses New Orepasses Direct Tip to Clark Shaft Crusher (bypassing rail delivery system) Direct Tip to Clark Shaft Crusher (bypassing rail delivery system)

27 ”Plan the Mine – Mine the Plan” 27 Scheduling Aim Seamless Integration of the Medium to Long Term Schedule with the Short Term Site Schedules Seamless Integration of the Medium to Long Term Schedule with the Short Term Site Schedules

28 ”Plan the Mine – Mine the Plan” 28 The Challenge How do you Integrate a Large Underground Mine with a Large Open Pit ? How do you Integrate a Large Underground Mine with a Large Open Pit ?


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