Terminated in academic year 2023/2024

Geostatistics

Type of study	Follow-up Master
Language of instruction	Czech
Code	541-0602/01
Abbreviation	GEOSTAT
Course title	Geostatistics
Credits	5
Coordinating department	Department of Geological Engineering
Course coordinator	doc. RNDr. František Staněk, Ph.D.

Subject syllabus

1. Basic concepts of probability theory.
2. Basic concepts of mathematical statistics, mathematical statistics in geology.
3. Basic properties and modeling of geological bodies. Introduction to geostatistics. Development and practical significance. Application of geostatistics in geology, mining industry and other fields.
4. Random function. Spatial variable quantity.
5. Characteristics of a random function.
6. Stationarity of a random function and the intrinsic hypothesis.
7. Empirical (experimental) and theoretical variogram. Types of theoretical variograms.
8. Interpretation and progress of the experimental variogram. Drift. Structural analysis – definition and tasks.
9. Linear geostatistical kriging procedures – principle, type of input data distribution, point and block estimation.
10. Basic and universal kriging.
11. Other types of kriging. Cross validation method.
12. General procedure and examples of kriging application. Global estimates. Limitation of kriging.
13. Principles of stochastic simulation procedures.

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.

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