This Geostatistical training is provided by Statios and uses GSLIB software.
- Introduction to GSLIB
- Data preparation and statistical displays
- Variogram calculation and interpretations
- Some practical aspects of modeling
- Indicator simulation of categorical variables (i.e. rock types)
- Gaussian simulation of porosity modelling
- Case studies / modelling tips
- Indicator simulation
- Annealing techniques for data integration
Resource Geology, Estimation, and Geostatistical References (Affiliates):
Mining Geology HQ recommends the following references as premier guides for resource geology and geostatistics. Each link is an affiliate link meaning that Mining Geology HQ will earn a small percentage of the sale by providing this recommendation. We aim to provide recommendations only on products we have personally used and feel would be helpful to industry geologists:
Isaaks, E. and Srivastava, M., An Introduction to Applied Geostatistics - The classic "Geostats by Ed and Mo" should be on the shelf of any resource geologist. This textbook is able to translate a sometimes complicated subject into simpler terms using many mining examples.
Armstrong, M., Basic Linear Geostatistics - A great reference which is more on the applied side than many geostatistical textbooks. Armstrong does a good job of explaining linear estimation concepts in an easy-to-understand manner.
More recommendations coming soon!
Resource Geology, Estimation, and Geostatistical References (free):
Practical Geostatistics by Isobel Clark (1979). Dr. Clark has been kind enough to share the original Practical Geostatistics book. There is a new edition which I encourage everyone to check out by contacting her at kriging.com
USGS Practical Primer to Geostatistics by Richardo Olea (2009). This free reference provides a good high-level introduction to some of the important aspects of geostatistics.
The kriging oxymoron: Conditionally unbiased and accurate prediction (2nd Edition)
(2004) Isaaks, E.H, Proceedings of the 2004 Geostat Congress, Banff, Alberta. Provided courtesy of Ed Isaaks at isaaks.com
Beyond Ordinary Kriging - An Overview of Non-linear Estimation
(1998) Vann, J., and Guibal, D., Proceedings from Beyond Ordinary Kriging Symposium, Perth, Western Australia. Provided courtesy of the Geostatistical Association of Australasia (GAA).
A Practioners Implementation of Indicator Kriging
(1998) Glacken, I. and Blackney, P., Proceedings from Beyond Ordinary Kriging Symposium, Perth, Western Australia. Provided courtesy of the Geostatistical Association of Australasia (GAA).
More references coming soon!
Resource Geology Software (free):
The following software packages are not endorsed by Mining Geology HQ but are free open-source software.
GSLIB (64 bit) - The classic open-source software package used globally. If you're after a more visually appealing version, try the paid version of WinGsLib at gslib.com. This program accompanies the training package provided by Statios.
SGeMS - The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for geostatistics. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms.
PairQA (32 and 64 bit) - Developed by Xstract Mining Consultants, PairQA calculates the Average Coefficient of Variation (CVAVR (%)) and the Reduced Major Axis Regression (RMA). The purpose is to define an unbiased measurement of error for duplicate samples. The software is based on published work on the Average Coefficient of Variation by Stanley and Lawie (2007) and Abzalov (2008), and for the Reduced Major Axis Regression by Sinclair and Blackwell (2002).
Google Refine 2.5 - A great little tool for cleaning up those messy drilling databases from the past 50 years.
PyGSLIB - An exciting open sourced project combining python with gslib. Check out the documentation and how to install here.
GSLIB Rotation View Tool - This handy little tool helps you work out the various directional schemes betweeen Vulcan, Isatis, GSLIB, and others.
More software links coming soon!