714-0929 – Geostatistics (GSd)

Gurantor departmentDepartment of Mathematics and Descriptive Geometry
Subject guarantordoc. RNDr. František Staněk, Ph.D.
Study levelpostgraduate
Subject version
Version codeYear of introductionYear of cancellationCredits
714-0929/01 2003/2004 2019/2020 10
714-0929/02 2003/2004 2019/2020 10

Subject aims expressed by acquired skills and competences

This course is dedicated to basic properties and modelling of natural objects. These problems can arise from other courses as well as from practice. The main emphasis lays in explanation of fundamental principles of geostatistical methods and of their general properties. The students learn how to decide which geostatistical procedure is a suitable tool for solving a specific problem. An important ingredient of the course is learning how to use existing software specialized for geostatistical computations, too. The first part of the course deals with basic geostatistical notions and with the way in which to understand these notions from both theoretical and practical points of view. In the second part of the course the students learn the geostatistical way of thinking as a mean of understanding real-life processes. The basic methods of collecting and analysing geo-data are introduced. The students are taught how to use these general methods to solve the problems arising from other courses of their study and from practice.

Teaching methods

Lectures
Individual consultations
Project work

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).

Compulsory 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.

Recommended 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.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.