Moving forward from traditional optimization: Grade uncertainty and risk effects in open-pit design

Institution of Mining and Metallurgy. Transactions. Section A: Mining Technology

Volumn 111, Issue JAN/APR, 2002, Pages

  Dimitrakopoulos, R ^a   Farrelly, C T ^a   Godoy, M ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DECISION MAKING; GOLD DEPOSITS; GRAPH THEORY; MATHEMATICAL MODELS; OPTIMIZATION; PLANNING; PROJECT MANAGEMENT;

DIRECT BLOCK SIMULATION; GENERALIZED SEQUENTIAL GAUSSIAN SIMULATION; OPEN-PIT DESIGN; QUARTZ BRECCIA-TYPE GOLD DEPOSIT;

MINING;

EID: 0036064712     PISSN: 14749009     EISSN: None     Source Type: Journal    
DOI: 10.1179/mnt.2002.111.1.82     Document Type: Article

References (21)

1. Lane K. Optimization: is it the best? In Optimizing with Whittle, strategic mine planning (Box Hill, Vict.: Whittle Programming, 1999), 1-7.
2. Lerchs H. and Grossmann L. Optimum design of open-pit mines. Trans. CIM, LXVII, 1965, 17-24.
3. Whittle J. Beyond optimization in open-pit design. In Proc. Canadian Conf. Computer applications in the mineral industries, (Rotterdam: Balkema, 1988), 331-7.
4. Whittle J. A decade of open-pit mine planning and optimization-the craft of turning algorithms into packages. In APCOM '99 (Golden: Colorado School of Mines, 1999), 15-24.
5. Rendu J-M. Geostatistical simulations for risk assessment and decision making: The mining industry perspective. In Int. Symp. geostatistical simulations mining: uncertainty models, risk analysis and optimization of mining operations. CD, Bryan Research Centre, Brisbane, Australia, 1999. ISBN 186 499 3855
6. Dowd P. Risk assessment in reserve estimation and open-pit planning. Trans. Instn Min. Metall. (Sect. A: Min. industry), 103, 1994, A148-54.
7. Rossi M.E. and Camacho J. V. Using meaningful reconciliation to evaluate predictive models. Trans. Soc. Min. Met. Explor., 308, 2000, 78-82.
8. Dimitrakopoulos R. Conditional simulation algorithms for modelling orebody uncertainty in open-pit optimization. Int. J. Surface Mining Reclamation Environment, 12, no. 4, 1998, 173-9.
9. Dowd P. Risk in minerals projects: analysis, perception and management. Trans. Instn Min. Metall. (Sect. A: Min. industry), 106, 1997, A9-18.
10. Manfrino A. Impact of high risk grade zones in optimal pit limits: a sensitivity study in a gold deposit. In Int. Symp. geostatistical simulations mining: uncertainty models, risk analysis and optimization of mining operations. CD, Bryan Research Centre, ISBN 186 499 3855, Brisbane, Australia, 1999.
11. Ravenscroft P. J. Risk analysis for mine scheduling by conditional simulation. Trans. Instn Min. Metall. (Sect. A: Min. industry), 101, 1992, A104-8.
12. Smith M. and Dimitrakopoulos R. Influence of deposit modelling on mine production scheduling. Int. J. Surface Mining Reclamation Environment, 13, 1999, 173-8.
13. Amram M. and Kulatilaka N. Real options: managing strategic investment in an uncertain world (Harvard: Harvard Business School Press, 1999), 246 p.
14. Moel A. and Tufano P. Bidding for the Altamina mine: valuation and incentives in a real options context. Harvard Business School, note 297-054/297-055, 1998.
15. Vallee M. Mineral resource + engineering, economic and legal feasibility = ore reserve. CIM Bull., 90, 2000, 53-61.
16. Rossi M. and Parker H. M. Estimating recoverable reserves - is it hopeless? In Dimitrakopoulos R. ed. Geostatistics for the next century (Dordrecht: Kluwer, 1994), 259-76.
17. Halton J. H. A retrospective and prospective survey of the Monte Carlo method. In Zemanian A. H. ed. S.I.A.M. Review, 1970, 1-63.
18. Dimitrakopoulos R. Orebody uncertainty, risk assessment and profitability in recoverable reserves, ore selection and mine planning. WH Bryan Mining Geology Research Centre, Brisbane, Australia, 2000.
19. Dimitrakopoulos R. and Luo X. Generalized sequential Gaussian simulation. Math. Geol., 2002, in press.
20. Journel A. G. Modelling uncertainty: some conceptual thoughts. In Dimitrakopoulos R. ed. Geostatistics for the next century (Dordrecht: Kluwer, 1994), 30-45.
21. Verly G. Sequential Gaussian cosimulations: a simulation method integrating several types of information. In Soares A. ed. Geostatistics Troia '92 (Dordrecht: Kluwer, 1993), 543-54.