Basic properties and modeling of natural objects. Introduction to geostatistics. Random function. Regionalized variable. Stationary and intrinsic hypotheses. Variogram. Anisotropies, drift, models for variograms. Experimental variograms. Structural analysis. Dispersion as a function of block size. Local estimation – kriging. Ordinary kriging. Point kriging and block kriging. Simple kriging. Universal kriging. Cokriging. Nonlinear kriging. Soft kriging. Lognormal kriging. Indicator kriging. Probability kriging. Cross validation. Principles of stochastic simulation. Sequential Gaussian simulation (SGSIM) and direct sequential simulation (DSSIM).
Literature
Armstrong, M.: Basic Linear Geostatistics. Berlin, 1998.
Deutsch, C., V.: Geostatistical Reservoir modeling. Oxford, 2002.
Deutsch, C., V., Journel, A., G.: GSLIB – Geostatistical Software Library and User's Guide. Oxford, 1998.
Goovaerts, P.: Geostatistics for Natural Resourses Evaluation. Oxford, 1997.
Isaaks, E., H., Srivastava, R., M.: Applied Geostatistics. Oxford, 1989.
Lantuéjoul, Ch.: Geostatistical Simulation: Models and Algorithms. Springer, 2002.
REMY, N., BOUCHER, A., WU, J.: Applied geostatistics with SGeMS: a user's guide. New York: Cambridge University Press, 2009.
Advised literature
Clark, I., Harper, W.,V.: Practical Geostatistics. Ecosse North America Llc, Columbus Ohio, USA, 2000.
Kitanidis, P.,K.: Introduction to Geostatistics: Applications to Hydrogeology. New York, 1997.
Webster, R., Oliver, M. A.: Geostatistics for Environmental Scientists. Wiley, 2007.