Bibliography: Benchmarking

Bibliography: Benchmarking of models

The following list of references show data useful for benchmarking against the different models.

Benchmarking: Circuit Specific Energy Consumption - Bond/Barratt

• Magnuson, R.; Hallow, J.; Mosher, J.; Major, K., The Fort Knox Mill: Design, Commissioning and Operation. Proceedings of the SAG 2001 Conference, Vancouver, Canada.

Result for default model conditions:

	Etotal	WiO		Tonnage
Model	11.95	16.60	kWh/t	1,522	t/h
Measured	10.50	13.97	kWh/t	1,733	t/h
Difference	1.45	2.63	kWh/t	211	t/h
Difference	12.9%	17.2%		12.9%

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Benchmarking: Circuit Specific Energy Consumption - Bond/Barratt

• Morrison, R., Current Plant Conditions at Copper Mountain. Presentation to the BC/Yukon Branch Canadian Mineral Processors, November 29, 2012; Vancouver, Canada.

Result for default model conditions:

	Tonnage
Model	1455 t/h
Measured	1600 t/h
Difference	145 t/h
Difference	9.5%

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Benchmarking: SAG Mill Power Draw - Fimiston

• Nelson, M; Valery, W; Morrell, S, Performance Characteristics and Optimisation of the Fimiston (KCGM) SAG Mill Circuit, Page 233 - 248, SAG 1996 Conference, Vancouver, Canada.

Survey	Survey Power, kW at input	Mill speed, %critical	Ball load, %v/v	Total load, %v/v	Pulp %solids, w/w	Morrell SAG Model, kW at input / shell	Loveday/Baratt Model, kW at input / shell
Survey 1	9,255	72.5	13	21.6	65.9	9,268 / 8,764	10,372 / 9,808
Survey 2	10,374	77	13	25.2	63.3	10,481 / 9,911	11,238 / 10,636
Survey 3	8,395	75	15	16.1	70	9,193 / 8,693	10,818 / 10,230
Survey 4	8,299	78	11.5	13.5	60	7,766 / 7,344	can't do
Survey 5	10,976	80	11.5	22.2	60	9,877 / 9,340	10,322 / 9,760
Survey 6	8,616	74	11.5	13.6	63	7,394 / 6,992	can't do
Survey 7	11,684	82	14	20	75	10,782 / 10,195	11,037 / 10,437
Survey 8	11,610	78	13	28.6	75	11,415 / 10,794	11,125 / 10,520
Survey 9	11,571	78	13	25.8	75	10,990 / 10,392	11,668 / 11,033
Survey 10	9,408	80	12	19	75	9,655 / 9,130	10,309 / 9,749

• The overall average difference between the Morrell model motor input predictions and the measurements are -3.4%, and range from -15.3% to +9.1%.
• The overall average difference between the Loveday/Barratt model motor input predictions and the measurements are +4.8%, and range from -6.1% to +25.2%.

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Benchmarking: SAG Mill Power Draw - Cadia

• Radziszewski, P.; Valery, W, Cadia SAG Mill Simulated Charge Behaviour, Annual General Meeting of the Canadian Mineral Processors, Ottawa, 1999.

Survey	Survey Power, kW at shell	Mill speed, %critical	Ball load, %v/v	Total load, %v/v	Morrell SAG Model, kW at shell	Loveday/Baratt Model, kW at shell
Survey 1	11,189	79	0	28.8	11,868	12,126
Survey 2	10,321	79	0	28.5	11,787	12,039
Survey 3	10,824	78	4	25	12,762	13,390
Survey 4	14,945	78	4	40.7	15,806	15,096
Survey 5	17,586	74	12	31.6	17,351	18,216
Survey 6	17,963	78	12	26.1	17,298	18,505

• Morrell model predicts, on average, 6% high.
• Loveday/Barratt model predicts, on average, 9% high.

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Benchmarking: SAG Mill Power Draw - Cadia

• Boghey, A.; Svalbonas, V.; Jones, S.M., Supply, Installation & Commissioning of the World's Largest Grinding Mill, Annual General Meeting of the Society for Mining, Metallurgy & Exploration (SME), 2000.

Mill filling level 33% v/v. Ball charge not measured, but expected to be in 12% to 13% v/v range. Ore density not indicated, assuming 2.65 kg/L. Ball density given as 7.85 kg/L.

Survey conducted during late commissioning, Figure 8 yields:

Survey	Survey Power, kW at shell	Mill speed, RPM	Mill speed, %critical	Morrell SAG Model, kW at shell	Loveday/Barratt Model, kW at shell
23:30	19,300	8.99	73.7	17,148	18,233
23:40	19,450	9.4	77.1	18,042	19,199
23:50	19,550	9.9	81.2	19,058	19,868

Benchmarking: SAG Mill Power Draw - Yanacocha

• Burger, B., Vargas, L., Arevalo, H., Vicuna, S., Sidel, J., Valery, W., Jankovic, A., Valle, R. and Nozawa, E., Yanacocha Gold Single Stage SAG Mill Design, Operation, and Optimization, Proceedings of the International Conference on Autogenous Grinding, Semiautogenous Grinding and High Pressure Grinding Roll Technology (SAG 2011) held September 25 – 28, 2011 in Vancouver, B.C., Canada.

	Shell Power, kW	Mill Speed, RPM (%crit)	Ball charge, %v/v	Filling, %v/v	Feed %solids	Morrell model, kW	Loveday/Barratt, kW	Austin model, kW
First Survey	12,286	8.9 (64.5)	16.5	17.9	73	11,716 (4.7% low)	14,754 (18% high)	12,712 (3.4% high)
SecondSurvey	13,992	8.7 (63.1)	19.1	22.9	80	13,298 (5.1% low)	16,100 (14% high)	14,017 (0.2% high)

Details of benchmarking

Benchmarking: Ball Mill Power Draw - Fimiston

• Nelson, M; Valery, W; Morrell, S, Performance Characteristics and Optimisation of the Fimiston (KCGM) SAG Mill Circuit, Page 233 - 248, SAG 1996 Conference, Vancouver, Canada.

Survey	Survey Power, kW at input	Mill speed, %critical	Total load, %v/v	Pulp %solids, w/w	Morrell SAG Model, kW at input / shell	Nordberg Model, kW at input / shell
Survey 1	3,864	68.3	38.7	72.0	3,933 / 3,776	3,592 / 3,345

• Morrell model predicts 2% high
• Nordberg model predicts 7% low

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Historic & Other Interesting Benchmarking

1. Myers, J.F., Michaelson, S.D., Bond, F.C., Rod Milling—Plant and Laboratory Data, Technical Publication No. 2175, American Institute of Mining and Metallurgical Engineers, 1947. [1]