X

Mineral Resource Evaluation Master Class

The Capital Empire Sandton, Johannesburg, South Africa,
12 - 15 June 2017

Mineral Resource Evaluation Master Class

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 the principles and techniques applied in the process of Mineral Resources Evaluation. Issues as to the stages of evaluation in the value chain are described. Sampling of particulate materials and the necessity of compliance with the principles in the Theory of Sampling, an understanding of error and bias, and insights to QAQC are examined. Statistical valuation of mineral deposits including estimation of population parameters and significance testing, cut-off grades and determination of grade-tonnage curves for normal and lognormal distributions are explained with desk-top examples. Approaches to univariate and bivariate statistics are examined with an emphasis on exploratory data analysis. Aspects of geological domaining, stationarity and trends, together with the necessity for compositing, declustering, debiasing, despiking are considered. The first section of the course concludes with a discussion of the necessity of numerical modelling.

The theory of regionalised variables and the underlying principles of geostatistics are examined through consideration of inverse distance estimation techniques, their nature, validity and confidence in the estimates. The number of samples used, maximum distances, the effects of clustering, anisotropy, outliers, skewed distributions, the regression effect and volume-variance effects are considered. The derivation, use and application of experimental and model variograms are described. The concepts of Ordinary Kriging and Simple Kriging for the for the mining industry are considered. The processes of cross-validation and concerns about the volume-variance effects, conditional bias, and the regression effect are considered.

The multivariate Gaussian approach to mineral resource evaluation as well as the post-processing of Multi Gaussian kriging and interpretation of results as a basis for understanding uncertainty is described. The differences between estimation and simulation are a precursor to a discussion of conditional simulation which is followed by a discussion on post-processing simulation outputs, an interpretation of the results, and an understanding of estimation uncertainty. Issues around optimisation of data spacing and the effects of changing cut-off grades on deposit value are explained. Mineral Resource and Reserves Classification and the associated uncertainty, together with the application of loss functions in risk and uncertainty models, and the financial implications of misclassification are described

Learn from world class expert

Professor Richard Minnitt

  • 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

For a copy of the FULL AGENDA, please send email to: hayat@neo-edge.com

Hayat
Telephone: +65 6557 9167

Course Outline (4-day)

Day 1

Overview of Mineral Resources Evaluation

Afternoon Computer Exercise

Exploratory data analysis of data sets, histograms, probability plots, QQ plots

Day 2

Spatial continuity and Inference

Afternoon Computer Exercise

Variography, kriging techniques, volume-variance effects and dealing with smoothing effects
Day 3

Understanding uncertainty in Mineral Resource Evaluation

Afternoon Computer Exercise

Post-processing kriging and simulation outputs, classification and uncertainty
Day 4

Incorporating Risk and uncertainty into Mineral Resource Evaluation

Afternoon Computer Exercise

Optimisation of data spacing

Case studies in gold and coal resource estimation etc. will be considered.

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

Hayat
Telephone: +65 6557 9167

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 22 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

Hayat
Telephone: +65 6557 9167

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

Hayat
Telephone: +65 6557 9167

Why You Should Attend

You will understand the flow of thought from the earliest stages of samples collection and verification through the process of simple estimation to more complex types of mineral resource evaluation.

The value in the course lies in the combination of theory and practical application to mineral resource evaluation with you receiving exposure to simple, freely available estimation tools and software that will be demonstrated.

Case studies in gold and coal resource estimation etc. will be considered.
Pre-course Questionnaire

Pre-Course Questionnaire will be sent to you prior to the workshop to complete. Professor Richard will analyze in advance and address the issues during the course.

Certificate of Attendance

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

For a copy of the FULL AGENDA, please send email to: hayat@neo-edge.com

Hayat
Telephone: +65 6557 9167

We recommend our delegates to book the hotel rooms early as there are only limited rooms available at Corporate Rate. Kindly contact the following for reservation. Please quote “Mineral Resource Evaluation Maste Class” organised by Neoedge when you book to enjoy the Corporate Rate. Thank you!

The Capital Empire Sandton
177 Empire Place (Cnr Rivonia Road)
Sandhurst Sandton
Johannesburg 2196
South Africa

Hotel Reservations Contact:
Charlene Opperman
Group Banqueting Manager
Tel: +27 (11) 9115000
Fax: +27 86 685 9431
Email: banqueting3@thecapital.co.za


Delegates Details  
1.
 
 
2.
 
 
3.
 
 
   
Company Details
   
   


(By email promotion, online publicizing or referring etc; please specify in the box)
   
* Denotes mandatory field
# We understand that we need to pay delegate fee for attending this event.