GEOL 584
Applied Geostatistics
1- Topics
Introduction
Uncertainty
Random variables & functions
What is modeling? Why modeling?
What is geostatistics?
Data collection and sampling
Review of Statistical Concepts
Univariate statistics
Types of distribution
Probability
Bivariate statistics
Correlation
Linear regression
Spatial Continuity and Variability
The theory of regionalized variables
Experimental variograms & spatial structure
Model variograms & parameters
Variogram and geology
Estimation Techniques
Krige’s relationship and BLUE
Point and block estimates
Kriging techniques
Conditional Simulation
Fundamentals
Unconditional simulation
Conditional simulation procedures
Selected Topics about Recent Trends in Geostatistics
2- Grading System
1st Exam 20%2nd Exam 20%
Project or Term Paper & Presentation 25%
Homework 30%
Class participation 5 %
3- Term paper / project instructions
Choose a preferred topic in a geostatistical recent issue (e.g. new techniques, problems, critique, data set …etc.)
Use 1990 references and above
Put some effort to organize a creative report ( some ideas might help you in your future research)
Add a flavor of applied ideas to your research
Paper length should be 10-15 pages
A CREATIVE presentation is requested to expose the ideas of the paper to other audiences. The presentation and question-answer times for each paper should not exceed 25 min. & 20 min., respectively.
Take it easy, enjoy the work and be well organized and prepared.
Do not delay today’s work until tomorrow.
4- Selected References
Isaaks, E. and R. Srivastava (1989), An introduction to applied geostatistics.
Hohn, M. (1988), Geostatistics and petroleum geology.
Kinanidis, P. (1997), Introduction to geostatistics- Applications in hydrogeology.
Journel, A. and Ch. Huijbregts (1978), Mining geostatistics.
Deutsch, C. and A. Journel (1998), Geostatistical software library (GSLIB).
Webster, R and M. Oliver (2001), Geostatistics for Environmental Scientists
Computer and Geosciences & Mathematical Geology journals
5- Useful Links
Geostatistics at Stanford University