The anticipated course topics include exploratory data analysis, declustering, variogram analysis, change of support, resource estimation methods, and model validation. The scope of this seminar will be limited to resource estimation. It will be conducted with presentations, interspersed with case studies, and brief demonstrations. This course is not intended to teach software, but focuses on the analytical decisions required when constructing a resource model.
The seminar is aimed at geologists, geoscientists, and engineers who can benefit from enhancing their skills and knowledge when using, reviewing, and/or constructing resource models for evaluation of mineral deposits. The concepts presented herein are also applicable to other natural resource industries outside of the mining sector, including forestry, environment, petroleum, and agriculture.
No geostatistics background is necessary.
- Objectives; and
- Geological Modeling.
- Exploratory Data Analysis
- Relevant statistical tools;
- Compositing; and
- Grade capping.
- Spatial Analysis
- Variograms and covariances;
- Calculation and modeling; and
- Change of support.
- Estimation Methods and Strategies
- Estimation Approaches: Inverse Distance, Ordinary Kriging; and
- Selection of Estimation Parameters.
- Model Validation
- Qualitative vs quantitative checks; and
- Declustering and change of support.
- Special Topics for Mining Geostatistics (Time Permitting)
- Conditional bias; and
- Conditional simulation.
Dr. Oy Leuangthong
Principal Geostatistician, SRK Consulting
Oy Leuangthong, PhD, P.Eng., is a Principal Geostatistician at SRK Consulting, with more than 15 years of experience in geostatistics for resource characterization and uncertainty assessment. Prior to joining SRK, she was an Assistant Professor of Mining Engineering at the University of Alberta. She has taught geostatistics to engineers and geologists from international companies in the Americas, and has consulted on mining and petroleum projects. She has authored and co-authored two books, and more than 40 technical papers on geostatistics.