This course covers a range of practical technical skills relating to the estimation of the grade and quantity of raw materials available for exploitation prior to mineral development and extraction.
A consideration of the implications and problems associated with inversed distance estimation techniques provides a basis for examining the theory of geostatistical estimation techniques. This includes the compilation of the experimental - and model semi-variograms and the application of model semi-variograms to point estimation. Geostatistical estimation and the principles of Ordinary Kriging are a natural extension to this topic. Testing the validity of the semi-variogram through the process of cross-validation is a final section on the development of the theory of geostatistics. The estimation of average grades in selective mining units or blocks at different locations in an orebody provides a practical application for the theory established up to this point in the course.
Lectures presented in this course are coordinated with tutorials using illustrative examples in order to familiarize the student with the use of such methods. Course content and examples are drawn from a wide sweep of mining applications, from coal quality parameters through to the evaluation of precious metals.
After successful completion of this master class, you should be able to:
- Make decisions regarding samples as the basic data for numerous analyses, many of which have significant, far-reaching financial implications for the company.
- Apply the notions of representative and correct sampling and the Theory of Sampling (Gy, 1979) in order to correctly establish and implement appropriate sampling protocols.
- Analyse mineral deposit sampling data using contemporary methods to provide an accurate and reliable estimate of the quantity and quality of the minerals present.
- Assess the implications and restrictions associated with inversed distance estimation techniques, and describe the theory underlying geostatistical estimation techniques.
- Understand determination of confidence and significance testing of population parameters, calculation of grade tonnage curves for normal and lognormal distributions, hypothesis testing, regression analysis and a consideration of the volume-variance effect.
- Make decisions on the financial implications of the grade tonnage curves on mining revenues and the importance of reporting mineral resources and ore reserves in compliance with internationally accepted codes of practice.
- Compile experimental - and model semi-variograms and apply such to point estimation.
This Master Class will enable you to develop:
- Theoretical basis for ensuring that samples collected are correct and truly representative of the mineralized materials to be mined
- Statistical foundation necessary to analyze typical mining-related sample data from an ore body prior to exploitation and full-scale extraction
- Techniques necessary to estimate and report mineral resources and ore reserves at different stages in the life of a mining project
- Ability to analyze and solve problems relating to the valuation of ore reserves involving non-stereotyped cases
- A range of examples in which geostatistical methods and techniques are applied to problems of resource and reserve classification, mineral valuation and economic problems
Schedule of Daily Activities
08:30 – 11:00 Lecture session with 10-min break
11:00 – 11:20 Coffee break
11:20 – 13:00 Lecture session with 10-min break
13:00 – 13:45 Lunch break
13:45 – 14:45 Lecture session
14:45 – 15:45 Computer-based exercise
15:45 – 16:00 Coffee break
16:00 – 17:00 Lecture session
Prof Richard Minnitt,
JCI Professor ,
University of the Witwatersrand
- JCI Professor of Mineral Resources and Reserves, University of the Witwatersrand.
- Has undertaken many projects or consulting engineering work, such as for Anglo American and Vantage Minerals etc.
- Earth Scientist (Pr. Sci. Nat),S.A.Council for Natural Earth Scientists (since 1982).
- Winner of the South African Institute of Mining and Metallurgy Silver Medal for his paper.
- Exploration Geologists
- Production Geologists
- Resource Geologists
- Mine Planners / Planning Manager
- Mining Engineer / Engineering Manager
- Professionals interested in the evaluation of mineral resources and reserves
The African Regent Hotel
237/238 Airport West
P. O. Box CT 6143
Cantonments - Accra