Acid rock drainage prediction
20 November 2014
University of Cape Town, Garnet Room, New Engineering Building
Presenters
Professor Bernd Lottermoser, Camborne School of Mines, University of Exeter, UK
Dr Anita Parbhakar-Fox, University of Tasmania, Australia
Dr Julie Hunt, University of Tasmania, Australia
Why ARD PREDICTION?
This course is a must-sign up for students, young professionals and others concerned about ARD prediction. Current practices for waste characterisation and classification solely rely on limited sampling and time-consuming geochemical testwork. Such a practice comes at a significant cost to the operator, particularly if diverse rock types and large tonnages are mined. Moreover, geochemical test data do not become available for months after sample collection. Regardless, such data acquired are routinely used to design site-specific waste classification schemes that influence waste management and disposal decisions. In most cases, this typically involves a rather simplistic three-waste type classification scheme: (1) potentially acid forming (PAF), (2) non-acid forming (NAF), and (3) uncertain waste. Such conventional practices oversimplify waste properties and ignore the fact that the release of acid and metals from rocks and wastes also depends on their mineralogy, texture, hardness and surface area. Consequently, best practice waste characterisation and classification are rarely achieved. This in turn reduces the accuracy of waste management plans and potentially leads to increased monitoring and closure costs.
Recent studies by the presenters and commissioned by industry have demonstrated that rapid, cheap and simple field measurements have real application in the classification of waste rock types. Results of these studies demonstrate that best practice ARD prediction should be initiated on drill core, using field instruments, followed by detailed laboratory testwork on high-risk samples. Such an integrated and staged approach to ARD prediction allows more cost-effective sampling of waste types and leads to a more rapid and accurate understanding of waste rock properties and provides better assessment criteria for informed waste management decisions.
This course will expose participants to an integrated application of analytical tools and protocols for better ARD risk assessments. Presented by a team renowned for their ARD predictive research and industry engagement, the course highlights the importance of pursuing integrated analyses of processed ore and wastes so that they can be effectively managed throughout the mine life and beyond.
GENERAL COURSE CONTENT
- Current best practices and their limitations.
- The Geochemistry-Mineralogy-Texture-Geometallurgy approach.
- Principles of geometallurgy.
- Pre-mining risk assessment.
- Field tests and protocols.
- ARD domaining in drill core.
- Advanced laboratory techniques and protocols.
- Integrated waste classification.
- Case studies.
The course presenter
Professor Lottermoser, University of Exeter, UK
is a global authority on mine waste characterisation and classification, having completed projects in Australia, Asia, Europe and the Americas. Currently, he is Project Leader of the CRC ORE / AMIRA P843a Environmental Indicators project.
Dr Anita Parbhakar-Fox, University of Tasmania, Australia
is a research fellow in Environmental Geochemistry at the University of Tasmania. Most recently, she has developed a series of ARD risk assessment tools for the CRC ORE/ AMIRA P843a Environmental Indicators project.
Dr Julie Hunt, University of Tasmania, Australia
is a senior research fellow at the Centre of Excellence in Ore Deposits (CODES), University of Tasmania. She has been involved in geometallurgy research, management and implementation of case studies in AMIRA P843/a.
VENUE
Garnet Room, New Engineering Building, UpperCampus
SHORT COURSE AUDIENCE
This course provides an overview of the tools and integrated protocols that help to achieve better, faster and cheaper ARD prediction. Such aspects are important for students seeking employment in the industry sector as well as industry practitioners and government regulators. Enrolled participants should have a basic understanding of current best practices for ARD prediction (GARD Guide), mineralogy and geochemistry.
SHORT COURSE OUTCOMES
On completion of the course, participants should be able to understand why, how and what is needed to achieve better ARD prediction.
times
8.30am am to 5.30 pm.
REGISTRATION FEES
No fees for full-time university students
ZAR2250 for all others
Included in the registration are: Morning & afternoon tea, lunch, course notes.
Registrations are due 1 November 2014
COURSE CANCELLATION
There could be circumstances beyond our control that may prevent us from going ahead. In the light of this, if you need to fly, we suggest that you purchase a fully flexible airline ticket.
FURTHER INFORMATION
Heidi Tait, CPD Programme, EBE Faculty, UCT
Tel 021 6505793, Email:
Continuing Professional Development Programme
Registration Form 2014
To be completed and returned to Sandra Jemaar or Heidi Tait – email:
Course NameAcid Rock Drainage Prediction
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Terms and Conditions
1. On submission of this registration form you will receive confirmation of acceptance on to the course and your unique student number. If there are no available spaces you will receive notice of this and your name will go on a waiting list.
2. Closing date for registrations is one week before the start of a course. Fees are due one week before the start of a course. In the event that you are still awaiting an invoice, please supply a letter from your company stating their intention to pay the fee on receipt of an invoice.
3. We must be informed of cancellations in writing at least one week prior to the start of a course or the full fee will be charged. If the fee has been paid and the registration is cancelled in time, a R500 admin fee will be charged for a refund
4. You may not cancel your registration after registrations have closed. If you do not arrive for a course you will be marked as absent and this will be reflected on your Professional Development Career at UCT.
5. Certificates will only be issued if payment has been received in full. Certificates will be issued in the name supplied on the application form. Where possible, certificates will be handed out at the final lecture. If not, they will be posted via registered mail to the address on this form.
6. UCT reserves the right to take any legal proceedings to recover the full fees payable, and to recover the costs in connection with such recovery
7. UCT reserves the right to cancel the course if insufficient registrations are received, in which case the course fee will be refunded in full if already paid.
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