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Volumn 47, Issue 2, 2011, Pages 166-176

Risk quantification in grade-tonnage curves and resource categorization in a lateritic nickel deposit using geologically constrained joint conditional simulation

Author keywords

Grade tonnage curves; Lateritic nickel min max autocorrelation factors; Resource categorization; Risk

Indexed keywords

AUTOCORRELATION; DEPOSITS; INVESTMENTS; MINERAL INDUSTRY; NICKEL; ORE DEPOSITS; RISK ASSESSMENT; RISKS;

EID: 80855124346     PISSN: 10627391     EISSN: None     Source Type: Journal    
DOI: 10.1134/S1062739147020043     Document Type: Article
Times cited : (12)

References (13)
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  • 5
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  • 7
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    • Geostatistical simulation of regionalized pore-size distribution using min/max autocorrelation factors
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    • (2000) Mathematical Geology , vol.32
    • Desbarats, A.J.1    Dimitrakopoulos, R.2
  • 8
    • 0003928056 scopus 로고
    • Min/max autocorrelation factors for multivariate special imagery
    • Stanford University, Department of Statistics
    • P. Switzer, and A. A. Green, "Min/max autocorrelation factors for multivariate special imagery," Technical Report 6, Stanford University, Department of Statistics (1984).
    • (1984) Technical Report , vol.6
    • Switzer, P.1    Green, A.A.2
  • 9
    • 58049179133 scopus 로고    scopus 로고
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    • A. Boucher, and R. Dimitrakopoulos, "A new efficient joint simulation framework and application in a multivariable deposit," Orebody Modelling and Strategic Mining Planning, Spectrum Series, 14, 2nd Edition, the AuSIMM, Melbourne (2007).
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    • Boucher, A.1    Dimitrakopoulos, R.2
  • 11
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    • Assessing risk in grade-tonnage curves in a complex copper deposit, northern Brazil, based on an efficient joint simulation of multiple correlated variables
    • South African Institute of Mining and Metallurgy
    • R. Dimitrakopoulos, and M. B. Fonseca, "Assessing risk in grade-tonnage curves in a complex copper deposit, northern Brazil, based on an efficient joint simulation of multiple correlated variables," in: Application of Computers and Operations Research in the Minerals Industries, South African Institute of Mining and Metallurgy (2003).
    • (2003) Application of Computers and Operations Research in the Minerals Industries
    • Dimitrakopoulos, R.1    Fonseca, M.B.2
  • 13
    • 5144235519 scopus 로고    scopus 로고
    • Generalized sequential Gaussian simulation on group size and screeneffect approximations for large field simulations
    • R. Dimitrakopoulos and X. Luo, "Generalized sequential Gaussian simulation on group size and screeneffect approximations for large field simulations," Mathematical Geology, 36 (2003).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.