Registrations opening soon
Cost: $3,000 (exclusive of GST), single day passes can be purchased, further discounts are available for attendance via zoom
Delivery mode: in person or via zoom
Duration: 3 days
The course comprises a series of structured lectures supported by focused practicals to enable hands-on learning. It is designed for industry geoscientists, geometallurgists, environmental professionals, PhD and masters students who wish to learn more about waste characterisation technologies and how they can be best applied to classify and domain ore and waste materials with the goal of improved metallurgical performance and environmental management. It is targeted
Topics covered:
- Environmental issues in mining- introduction
- Fundamentals of acid and metalliferous drainage and sulphide oxidation
- Tools to predict AMD- industry standard methods
- Improved AMD prediction- from sampling to new kinetic tests
- Application of next-gen technologies for AMD prediction
- Tools to develop a better environmental mine plan
What you will learn:
- How to design an AMD prediction campaign
- How to interpret static geochemical data
- Introduction to mineralogical tools used in AMD
- Introduction to drill core scanning technologies (e.g., short-wave and long-wave infrared tools)
- Understanding of re-use options for mine waste materials
- Introduction to machine learning, IoGAS and 3D data handling tools