541-0602/03 – Geostatistics (GEOSTAT)

Gurantor departmentDepartment of Geological EngineeringCredits5
Subject guarantordoc. RNDr. František Staněk, Ph.D.Subject version guarantordoc. RNDr. František Staněk, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year2Semesterwinter
Study languageEnglish
Year of introduction2016/2017Year of cancellation2023/2024
Intended for the facultiesHGFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
POR041 Ing. Michal Matloch Porzer, Ph.D.
STA22 doc. RNDr. František Staněk, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2

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
Tutorials
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:

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.

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

Way of continuous check of knowledge in the course of semester

Písemné testy.

E-learning

Other requirements

Active participation in excercises and solving given tasks.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Basic properties and modelling of natural objects. Fundamental principles of geostatistical methods. Software specialized for geostatistical computations. Basic methods of collecting and analysing geo-data.

Conditions for subject completion

Full-time form (validity from: 2016/2017 Winter semester, validity until: 2023/2024 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 33  17
        Examination Examination 67  18 3
Mandatory attendence participation: Attendance at seminars is mandatory, the maximum excused absence is 20%.

Show history

Conditions for subject completion and attendance at the exercises within ISP: Conditions for passing the course Credit: - Successful completion of two tests during the semester. - Elaboration and defense of assigned programs. Exam: - Successful completion of the written part of the exam. - Answering the given additional questions according to the published list of questions. Participation in exercises: To the maximum extent possible (at least for writing tests and getting to know the assignments of the programs). Others in the form of individual consultations.

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2022/2023 (N2110) Geological Engineering (2101T003) Geological Engineering P English Ostrava 2 Compulsory study plan
2021/2022 (N2110) Geological Engineering (2101T003) Geological Engineering P English Ostrava 2 Compulsory study plan
2020/2021 (N2110) Geological Engineering (2101T003) Geological Engineering P English Ostrava 2 Compulsory study plan
2019/2020 (N2110) Geological Engineering (2101T003) Geological Engineering P English Ostrava 2 Compulsory study plan
2018/2019 (N2110) Geological Engineering (2101T003) Geological Engineering P English Ostrava 2 Compulsory study plan
2017/2018 (N2110) Geological Engineering (2101T003) Geological Engineering P English Ostrava 2 Compulsory study plan
2016/2017 (N2110) Geological Engineering (2101T003) Geological Engineering P English Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

Předmět neobsahuje žádné hodnocení.