Abstract
A sequential approach is presented based on the Hermitian model for the change of support and either disjunctive kriging or multiGaussian kriging for the estimation of the conditional distributions. Theoretical block variograms are well reproduced by the simulations. Also, it is shown that taking block grade information into account can modify substantially the results of the simulation.
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References
Gomez-Hernandez, J. (1993) “Regularization of hydraulic conductivities: a numerical approach”, in A. Soares (ed), Geostatistics Troia’92, Springer Science+Business Media Dordrecht, Dordrecht, pp. 767–778.
Isaaks, E.H. (1990) “The application of Monte-Carlo methods to the analysis of spatially correlated data”, Unpublished PhD thesis, Stanford University, Palo Alto, CA., 213 p.
Journel, A.G. (1993) “Geostatistics: roadblocks and challenges” in A. Soares (ed), Geostatistics Troia’92, Springer Science+Business Media Dordrecht, Dordrecht, pp. 213–224.
Journel, A.G. and Huijbregts, Ch. J. (1978) Mining geostatistics, Academic Press, London.
Journel, A.G. and Alabert, F. (1989) “Non-Gaussian data expansion in the earth sciences”, Terra Nova, 1, 2, 123–134.
Kim, Y.C. and Baafi, E.Y., (1984) “Combining local kriging variances for short-term mine planning”, in G. Verly et al. (eds), Geostatistics for natural resources characterization, NATO-ASI, serie C, v. 122, Reidel, Dordrecht, pp. 185–200.
Levy, P. (1937) Théorie de l’addition des variables aléatoires, Gauthier-Villars, Paris.
Matheron, G. (1975a) “Forecasting block grade distributions: the transfer functions”, in M. Guarascio et al. (eds), Advanced geostatistics in the mining industry, NATO-ASI, serie C, v. 24, Reidel, Dordrecht, pp. 237–251.
Matheron, G. (1975b) “A simple substitute for conditional expectation: the disjunctive kriging” in M. Guarascio et al. (eds), Advanced geostatistics in the mining industry, NATO-ASI, série C, v. 24, Reidel, Dordrecht, pp. 221–236.
Rosenblatt, M. (1952) “Remarks on a multivariate transformation”, Annals of mathematical statistics, 23, 3, 470–472.
Verly, G. (1984) “The block distribution given a point multivariate normal distribution”, in G. Verly et al. (eds), Geostatistics for natural resources characterization, NATO-ASI, serie C, v. 122, pp. 263–290.
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© 1994 Springer Science+Business Media Dordrecht
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Marcotte, D. (1994). Direct Conditional Simulation of Block Grades. In: Dimitrakopoulos, R. (eds) Geostatistics for the Next Century. Quantitative Geology and Geostatistics, vol 6. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0824-9_29
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DOI: https://doi.org/10.1007/978-94-011-0824-9_29
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-4354-0
Online ISBN: 978-94-011-0824-9
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