Module name: Geostatistics Code, if applicable GL 3012 Semester(s) in which the
module is taught 4th Semester Person responsible for the
module Dr.Eng. Suryantini, S.T., Dipl Geothermal EnTech., M.Sc Lecturer Dr.Eng. Suryantini, S.T., Dipl Geothermal EnTech., M.Sc
Language Indonesian Language
Relation to curriculum Compulsory Course Types of
teaching and learning
Class Size
Attendance time (hours per week per semester)
Forms of active
participation Workload lecture, lesson,
practical,
50 2 Lecture,
discussion, practical
Lectures: 2(jam) x 14 (in class) Preparation and Follow up 4(jam) x 14 (self study) Practicals with
spread sheet software, ILWIS
and "R" in the class,
1 times a week;
1.5 hour every practical
1 Report Practical: 1.5 (hour) x 7
(practical)
Preparation and Follow up 2 (hour) x 7 (self practical)
Total Workload 2 hour/per week = 32 hour per semester Lecture + 16 hour homework per semmester + 16 hour self study per semester
Credit points 2 CU
Requirements according to the examination regulations
Attendance and active participation in class (5%), Biweekly homework (5%),
Mid Semester Test (35%),
End Semester Test counts for 55%, consists of
(1) Theory, individually written test in class (35%) and
(2) to performed geostatistical analysis from the data that has been prepared since the beginning of the course by each participants.
This test is in the form to make scientific article that almost ready to be published (20%)
A value of> = 80;
Value AB 80> AB> = 75;
Value B 75> B> = 70;
Value BC 70> BC> = 65;
The C 65> C> = 60 Recommended
prerequisites
Pre-requisites course are:
GL2101 Math and Statistics for Geology GL2111 GEOLOGI FISIK
GL2131 GEOKIMIA UMUM
TG211 GEOFISIKA UMUM GL2151 SEDIMENTOLOGI GL 2281 GEOFLUIDA Module objectives/intended
learning outcomes
Knowledge and Analytical skills
1. Understand spatial data that can be used for proper geostatistical analysis, as it is proved by collect the correct spatial data with sufficient quantities, representative sampling distribution and have the right UTM coordinates.
2. Can do Exploratory Data Analysis (EDA) on geological data using a variety of basic statistical methods.
3. Understand the particular differences in spatial and non-spatial statistical statistics
4. Knowing a wide range of the variogram models, choosing the right variogram models and can perform variogram modeling with the software ILWIS
5. Recognize various type of Kriging Equation and erorr kriging equations, and can create an estimation map with ordinary kriging 6. Perform a simple interpretation of the causes of anomalies on the kriging estimation map
Skill
1.Have skill to perform EDA using Excel software or "R" or others 2. Have skill to perform geostatistics anaylsys using ILWIS software or
"R"
3.Have communication and writing skill in explaining the geostatistics results in the form of simple essays or in scientific writing format The character to be developed
1 confidence 2 independent
3 appreciate the difference analisys and opinions according to the data
4 hard worker in calculating and analysing plenty data
Competencies : Able to conduct EDA and handle all the problem with the data such as outlier and eratic values, Able to carry out various type of kriging, able to perform best variogram model,
Content This course is designed to provide an introduction to the basic principles, practical application of semi-variogram and geostatistical estimation such as kriging for various geological data.
The topics of the course is given systematically following the application of geostatistics in daily activities, starting by collecting proper spatial data, carry out Exploratory Data Analysis, variogram modelling and estimating unknown value at un-sampled location using kriging, in particular ordinary kriging. At each topic, the theory and basic principles of geostatistics will be given, followed by task
activities which correspond with the topic. Since beginning of the course, the participant has been given a task to collect spatial data that will be analysed individually or per-group, along the course for final project. At the end of the course, participant will produce a geostatistical analysis of geological data which is written in scientific paper format as final project.
Study and examination requirements and forms of examination
Paper Test
Media employed Power Point slide, Projector, Black Board, spread sheet software, ILWIS software, "R" software
All participants must provide their own laptop or PC, and calculator for mid and final test.
Reading list 1. ARH Swand and Sandilands, 1995, Introduction to Geological Data Analysis
2. Isaaks E.H, Srivastava R. M, 1989, An Introduction to Applied Geostatistics, Oxford University Press, Inc.
3. Davis, J.C.,1970, Statistics and data Analysis in Geology, John Willey and Sons Inc
4. Clark, I., 1979, Practical Geostatistic, Applied Science
