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Based on practical geostatistical methods proven worldwide, this modern training course will prepare and equip you with the necessary knowledge and techniques to accurately estimate and evaluate mineral resource to best practices standards

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.

Learn from world class expert

Professor Richard Minnitt

• Visiting 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

Course Format
This course will be an interactive and participative workshop where participants will be encouraged to discuss their own practice and compare it to others to recognised best practice.

Computer based exercises and case studies will form an important part of the workshop and participants will be encouraged to discuss and reflect on their own organisations practices and ways to improve them.

SCHEDULE OF DAILY ACTIVITIES

08:30 – 11:00      Lecture sessions with 10 minute comfort break

11:00 – 11:20      Coffee break

11:20 – 13:00      Lecture session with 10 minute comfort 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

For a copy of the FULL AGENDA, please send email to: hayat@neo-edge.com
Or please call us at Tel: +65 6282 7082

Course Outline (4-day)

Day 1

1. Introduction and Essential Assumptions

2. Inverse Distance Estimation Techniques (IDET)

• Weighting Functions
• Calculating Weighting Functions
• Problems Associated with Inverse Distance Method
• Answers to Questions

3. Experimental Semi-variograms

• The Estimation Error
• The Population Distribution of ‘Differences between Sample Values’
• Construction of the Experimental Semi variograms (Exercise)
• The Nugget Effect, The Sill, The Range

Day 2

4. Semi-variogram Models

• Models without a sill
• Models with a sill
• More Complex Models

5. Fitting a Model Semi variogram to Experimental Data

• Using the Exponential Model (Exercise)
• Using the Spherical Model (Exercise)
• The Character of Semi-variograms

6. Application of the Semi-variogram Model to Estimation Techniques

• Determining the Value of T at a known locality using one point
• The Estimator
• The Mean of the Estimation Errors
• Variance of the Estimation Errors
• Confidence Interval
• Determining the Value of T at a known locality using two points
• The Estimator
• The Mean of the Estimation Errors
• Variance of the Estimation Errors
• Confidence Interval
• Determining the Value of T using two Adjacent Points
• A Summary of Estimation of a Value at an Unsampled Location
• Determining the Value of T at a known locality using three points
• The Estimator
• The Estimation Error
• The Mean of the Estimation Errors
• Variance of the Estimation Errors
• Confidence Interval
• Determining the Value of T at a given Locality (Exercise)
• Summary – Method of Calculating the Standard Error
• The General Form of the Estimation Procedure

Day 3

7. Geostatistical Estimation

• Best Linear Unbiased Estimator
• ormal Layout of Geostatistical Estimation
• Answering the Question List

8. Ordinary Kriging

• The Kriging Estimate, T*
• The Minimum Standard Kriging Error

Day 4

9. Cross Validation

• The Procedure
• Problems Associated With Cross Validation

10. Estimation of Areas and Volumes

• Kriging Equations
• Estimation of Panels
• Estimation of Volumes
• Mine Design – The Grade-Tonnage Curves
• The Impact of Block Size on Grade-Tonnage Curves

For a copy of the FULL AGENDA, please send email to: hayat@neo-edge.com
Or please call us at Tel: +65 6282 7082

About Your Expert Trainer

Professor Richard Minnitt

Professor Richard Minnitt has taught into the undergraduate and postgraduate programme at the University of the Witwatersrand for the past 23 years, covering topics in geostatistics, mineral economics, sampling theory and practice, grade control and the marketing of mineral products.

He has also undertaken many projects or consulting engineering work. Some of the larger contracts he has undertaken are in the platinum and gold mining industry for Anglo American (Mogalakwena mine) and for Vantage Minerals (Lily mine), while others include:

• Consulting for the Makonjw n-Imperial Mining Company (Pty) Limited
• Assessment of mineral rights in the SA LANDS portfolio and their valuation. Report prepared for Kalahari Exploration, Gaborone.
• Potential for open-cast gold mining in the Wedza greenstone belt, Eastern Zimbabwe.
• The geology of the Lobatse Volcanic Group, South East Districts, Republic of Botswana. A report prepared for Kalahari Exploration, Gaborone.
• A Technical Report in respect of Rovic Diamonds (Pty) Limited, prepared for Botswana Diamondfields Incorporated.
• Due Diligence Review and Valuation Study of the Mineral Assets of Messina Investments Limited, a report prepared for Becksham Corporation.
• Independent Consultant Report on Keygold, a report prepared for Simmer and Jack mines, Limited.
• A Valuation of Mines in the Corsyn Group, Zimbabwe. A report prepared for Lonrho South Africa Limited.
• Impact of the Volume Variance Effect at the Mazoe Mine, Zimbabwe.
• Provision of expert opinion on the Governments proposed developments in the Manganese industry for BHP Billiton.
• Compilation of a report entitled Mining and Minerals White Paper for the Namibian Government for Minerals and Energy Policy Centre.
• Compilation of a report entitled A Comparison of the belt Cut and Hammer sampling techniques at Sasol Coal for SASOL.
• ElCaravan open pit optimisation study for Zaruma (Pty) Limited.
• Competent Persons Letter Audit of Mineral Resources and Mineral Reserves for Simmer and Jack Mines for Cheston Minerals (Pty) Limited.
• Preparation of a report entitled Sampling procedures and manganese grade variability for Manganese Metal Corporation, Nelspruit.
• Sampling Nomograms for the Lily and TGME Gold Mines for Cheston Minerals (Pty) Limited, Nelspruit.
• Calibration of Manganese Ores and Evaluation of the Current Sampling Protocol at the Wessels Mine, Hotazel for Manganese Metal Corporation, Nelspruit.
• Competent persons report on mineral resource and mineral reserve statement for Eastern Goldfields Limited.
• Analysis of micro-diamonds in the Kao diamond pipe, Lesotho for Mr G Potgieter, Seriousview Trading (Pty) Limited.
• Compilation of Mineral Resources and Mineral Reserves Statement for Eastern Goldfields Limited, for Eastern Goldfields Limited.
• An analysis of two data sets from the Uranium Project, Namibia.

For a copy of the FULL AGENDA, please send email to: hayat@neo-edge.com
Or please call us at Tel: +65 6282 7082

Professionals interested in the evaluation of mineral resources and reserves, including and not limited to:

• Exploration Geologists
• Production Geologists
• Resource Geologists
• Mine Planners / Planning Manager
• Mining Engineer / Engineering Manager

For a copy of the FULL AGENDA, please send email to: hayat@neo-edge.com
Or please call us at Tel: +65 6282 7082

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

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, farreaching 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 gradetonnage 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 gradetonnage 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.

Pre-course Questionnaire
Pre-course Questionnaires will be sent to you upon registration, allowing you to raise specific issues and concerns. Prof. Minnitt will analyze them in advance, and address them over the workshop where possible. We encourage you to raise all possible questions/s and concerns at this juncture.

Certificate of Attendance
Upon the successful completion of this course, you will receive a Certificate of Attendance bearing the signatures from the Facilitator and the Course Organizer. This Certificate will testify your endeavor and serve towards your professional advancement.

For a copy of the FULL AGENDA, please send email to: hayat@neo-edge.com
Or please call us at Tel: +65 6282 7082

This Mater Class will be hold at The African Regent Hotel. To enjoy discounted guest room rates at the event venue, kindly contact the following for room reservation:

The African Regent Hotel
237/238 Airport West
P.O. Box CT 6143
Cantonments – Accra
Ghana

Victoria Amah-Tutui
Conference, Banqueting & Special Events Executive
Cell: +233268 157090 / 3
Main line: +233 289 115765-7 / 0302-765180-2
Email: cbse@african-regent-hotel.com

Please quote “Geostatistical Mineral Resources Evaluation” workshop organised by Neoedge Pte Ltd when reserving a room for your stay at the hotel.