Proactive reconciliation as a tool for integrating mining and milling operations
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摘要
Historically, reconciliation has been viewed as a quality test of model estimates as well as a powerful tool for detecting and correcting problems in all stages of mine operations from resource estimation to metal production. If used correctly, reconciliation helps to better predict the life of mine(LOM), improves the adherence of production plans to the respective budget, and allows for effective control of the mining and milling processes. However, the accuracy of reconciliation results requires that all input data must be generated in accordance with the principles of sampling correctness. Furthermore, complete reconciliation systems can become extremely complex and must be carefully analyzed in order to provide realistic and helpful conclusions. Based on these concepts, this paper presents a successful proactive reconciliation system applied to a copper and gold mine in Brazil for monitoring and integrating mining and milling operations.
Historically, reconciliation has been viewed as a quality test of model estimates as well as a powerful tool for detecting and correcting problems in all stages of mine operations from resource estimation to metal production. If used correctly, reconciliation helps to better predict the life of mine(LOM), improves the adherence of production plans to the respective budget, and allows for effective control of the mining and milling processes. However, the accuracy of reconciliation results requires that all input data must be generated in accordance with the principles of sampling correctness. Furthermore, complete reconciliation systems can become extremely complex and must be carefully analyzed in order to provide realistic and helpful conclusions. Based on these concepts, this paper presents a successful proactive reconciliation system applied to a copper and gold mine in Brazil for monitoring and integrating mining and milling operations.
Historically, reconciliation has been viewed as a quality test of model estimates as well as a powerful tool for detecting and correcting problems in all stages of mine operations from resource estimation to metal production. If used correctly, reconciliation helps to better predict the life of mine(LOM), improves the adherence of production plans to the respective budget, and allows for effective control of the mining and milling processes. However, the accuracy of reconciliation results requires that all input data must be generated in accordance with the principles of sampling correctness. Furthermore, complete reconciliation systems can become extremely complex and must be carefully analyzed in order to provide realistic and helpful conclusions. Based on these concepts, this paper presents a successful proactive reconciliation system applied to a copper and gold mine in Brazil for monitoring and integrating mining and milling operations.
引文
[1]Holtham P,Scott A,Sanders D.Measurement and reconciliation of the coal production chain.In:An introduction to metal balance and reconciliation.Indooroopilly.p.517-68.
[2]Thomas N,Snowden V.Improving reconciliation and grade control by statistical and geostatistical analysis.In:Strategies for grade control,Bulletin10.Perth.p.49-59.
[3]Schofield NA.The myth of mine reconciliation.In:Mineral resource and ore reserve estimation:the AusIMM guide to good practice.Melbourne.p.601-10.
[4]Crawford GD.Reconciliation of reserves.In:Pincock perspectives No 49.Colorado;2003.
[5]Morley C,Thompson K.Extreme reconciliation-a case study from Diavik Diamond Mine,Canada.In:Proceedings of the 6th international mining geology conference.Darwin:AusIMM;2004.p.313-21.
[6]Chieregati AC,Pitard FF.The challenge of sampling gold.In:Proceedings of the4th World Conference on Sampling and Blending(WCSB4).Cape Town:SAIMM;2009.p.107-12.
[7]Chieregati AC,Pignatari LEC.New reconciliation model for gold industry.In:Proceedings of the 5th World Conference on Sampling and Blending(WCSB5).Santiago:GECAMIN;2011.p.235-42.
[8]Jang H,Topal E,Kawamura Y.Illumination of parameter contributions on uneven break phenomenon in underground stoping mines.Int J Min Sci Technol 2016;26:1095-100.
[9]Morley C.Beyond reconciliation:a proactive approach to using mining data.In:Proceedings of the 5th large open pit mining conference.Kalgoorlie:AusIMM;2003.p.185-92.
[10]Chieregati AC,Delboni Jr H,Costa JFCL.Sampling for proactive reconciliation practices.Min.Tech.(Trans.Inst.Min.Metall.A)2008;117(3):136-41.
[11]Morrison R.Data analysis for reconciliation.In:An introduction to metal balance and reconciliation.Indooroopilly.p.273-305.
[12]Chieregati AC,Pignatari LEC,Pitard FF,Esbensen KH.A segmented reconciliation matrix approach to monitor gold operations and reserve estimation.In:Proceedings of COM 2011:50th conference of metallurgists.Montreal:MetSoc of CIM;2011.p.749-58.
[13]Chieregati AC.The many facets of mine reconciliation.In:Proceedings of the6th World Conference on Sampling and Blending(WCSB6).Lima:GECAMIN;2013.p.207-16.
[14]El Hajj TM,Chieregati AC,Pignatari LEC.Illusory reconciliation:compensation of manual sampling erros.TOS Forum 2014;3:7-9.
[15]Pitard FF.Pierre Gy’s theory of sampling and C.O.Ingamell’s poisson process approach:pathways to representative sampling and appropriate industrial standards.Esbjerg:Aalborg University;2009.
[16]El Hajj TM,Chieregati AC,Pignatari LEC.Illusory reconciliation:compensation of errors by manual sampling.In:Proceedings of the 6th World Conference on Sampling and Blending(WCSB6).Lima:GECAMIN;2013.p.227-37.
[17]El Hajj TM.Reconcilia??o ilusória:compensa??o de erros por amostragem manual.Sao Paulo:University of Sao Paulo;2013.
[18]Pitard FF.A strategy to minimise ore grade reconciliation problems between the mine and the mill.In:Mineral resource and ore reserve estimation:the AusIMM guide to good practice,Melbourne.p.557-66.
[2]Thomas N,Snowden V.Improving reconciliation and grade control by statistical and geostatistical analysis.In:Strategies for grade control,Bulletin10.Perth.p.49-59.
[3]Schofield NA.The myth of mine reconciliation.In:Mineral resource and ore reserve estimation:the AusIMM guide to good practice.Melbourne.p.601-10.
[4]Crawford GD.Reconciliation of reserves.In:Pincock perspectives No 49.Colorado;2003.
[5]Morley C,Thompson K.Extreme reconciliation-a case study from Diavik Diamond Mine,Canada.In:Proceedings of the 6th international mining geology conference.Darwin:AusIMM;2004.p.313-21.
[6]Chieregati AC,Pitard FF.The challenge of sampling gold.In:Proceedings of the4th World Conference on Sampling and Blending(WCSB4).Cape Town:SAIMM;2009.p.107-12.
[7]Chieregati AC,Pignatari LEC.New reconciliation model for gold industry.In:Proceedings of the 5th World Conference on Sampling and Blending(WCSB5).Santiago:GECAMIN;2011.p.235-42.
[8]Jang H,Topal E,Kawamura Y.Illumination of parameter contributions on uneven break phenomenon in underground stoping mines.Int J Min Sci Technol 2016;26:1095-100.
[9]Morley C.Beyond reconciliation:a proactive approach to using mining data.In:Proceedings of the 5th large open pit mining conference.Kalgoorlie:AusIMM;2003.p.185-92.
[10]Chieregati AC,Delboni Jr H,Costa JFCL.Sampling for proactive reconciliation practices.Min.Tech.(Trans.Inst.Min.Metall.A)2008;117(3):136-41.
[11]Morrison R.Data analysis for reconciliation.In:An introduction to metal balance and reconciliation.Indooroopilly.p.273-305.
[12]Chieregati AC,Pignatari LEC,Pitard FF,Esbensen KH.A segmented reconciliation matrix approach to monitor gold operations and reserve estimation.In:Proceedings of COM 2011:50th conference of metallurgists.Montreal:MetSoc of CIM;2011.p.749-58.
[13]Chieregati AC.The many facets of mine reconciliation.In:Proceedings of the6th World Conference on Sampling and Blending(WCSB6).Lima:GECAMIN;2013.p.207-16.
[14]El Hajj TM,Chieregati AC,Pignatari LEC.Illusory reconciliation:compensation of manual sampling erros.TOS Forum 2014;3:7-9.
[15]Pitard FF.Pierre Gy’s theory of sampling and C.O.Ingamell’s poisson process approach:pathways to representative sampling and appropriate industrial standards.Esbjerg:Aalborg University;2009.
[16]El Hajj TM,Chieregati AC,Pignatari LEC.Illusory reconciliation:compensation of errors by manual sampling.In:Proceedings of the 6th World Conference on Sampling and Blending(WCSB6).Lima:GECAMIN;2013.p.227-37.
[17]El Hajj TM.Reconcilia??o ilusória:compensa??o de erros por amostragem manual.Sao Paulo:University of Sao Paulo;2013.
[18]Pitard FF.A strategy to minimise ore grade reconciliation problems between the mine and the mill.In:Mineral resource and ore reserve estimation:the AusIMM guide to good practice,Melbourne.p.557-66.