Design of grade control sampling programs for underground gold mines
MetadataShow full item record
Grade control programs aim to deliver economic tonnes to the mill via accurate definition of ore and waste. The foundation of a successful program is high quality sampling supported by geology and a suitable data management and modelling system. Underground sampling methods include chip, channel and panel samples; grab/muck pile samples; and drill-based samples. Grade control strategy is related to mining method and orebody type. Sampling protocols must be designed to suit the style of mineralisation in question. Holistic studies focussing on ore mineralogy and gold particle deportment, size and distribution are required for sample collection and preparation protocol optimisation through 'Theory of Sampling' application. Where possible, such programs should be undertaken early in the life of a project. Appropriate assaying procedures are also required. Program implementation will require suitably skilled individuals to train and mentor staff, with ongoing Quality Assurance/Quality Control (QA/QC) monitoring and review will allow protocols and staff to be updated as required.
Showing items related by title, author, creator and subject.
A randomised controlled trial of an online fatigue self-management group intervention for adults with chronic neurological conditionsGhahari, Setareh (2009)Background: Fatigue is one of the most common symptoms of neurological conditions. Although the literature suggests different approaches to treatment of this pervasive symptom, there is not a single, agreed comprehensive ...
Professional development in HIV prevention education for teachers using flexible learning and tutor supportJackson, Glenda Joy (2004)HIV prevention programs in schools are acknowledged as one of the best prospects for controlling the world HIV epidemic. Epidemiological evidence indicates that deaths world-wide from AIDS are yet to peak. Although HIV ...
Clifford, Rhonda (2004)People with diabetes mellitus are more likely to die from cardiovascular causes than those without diabetes, and modifiable risk factors, such as hyperglycaemia, dyslipidaemia and hypertension can be targeted in intervention ...