Skip to main content
Skip header

Geostatistics

Summary

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

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.
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.
LANTUÉJOUL, CH.: Geostatistical Simulation: Models and Algorithms. Springer, 2002.


Language of instruction čeština, čeština, angličtina, čeština, angličtina
Code 541-0602
Abbreviation GEOSTAT
Course title Geostatistics
Coordinating department Department of Geological Engineering
Course coordinator Ing. Michal Matloch Porzer, Ph.D.