GS 654: Mining Geostatistics
Syllabus
Introduction to the problem of estimation of spatial variables, block grade estimation effect of support, regionalized variables, random functions and the probabilistic formulation of the problem. Spatial law of the random function and hypothesis of stationarity, strict, second order and intrinsic stationarity.
Linear estimators, unbiasedness, variance of estimation and dispersion variance.
Experimental variograms and modelling, anisotropy. Regularisation. Auxilliary functions. Ordinary kriging. Estimation of globl mean and variance.
Coregionalisation, cokriging, non-stationary random functions and universal kriging. Introduction to non-conditional and conditional simulation of mineral deposits. Concept of recoverable reserves, global grade-tonnage curves. Introduction to non-linear geostatistics.
Texts/References
- Journal, A.G. and Huijbregts, Ch. Mining Geostatistics, Academic Press, London, 1978
- David, M. Geostatistical Ore Reserve Estimation, Elsevier, Amsterdam,1977
- Isaaks, E.A. and Srivastava, R.M. An Introduction to Geostatistics, Oxford University Press, Oxford, 1990
- Rivoirard, J. Introduction to Disjunctive Kriging and Non-linear Geostatistics, Clarendon, Oxford, 1994
- Kitanidis, P.K. Introduction to Geostatistics: Applications in Hydrogeology, Cambridge University Press, Cambridge, 1997
- Chiles, J.P. and Delfiner, P. Geostatistics: Modeling Spatial Uncertainity, John Wiley & Sons, New York, 1999