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Coal Preparation

CGA Workshop Series Driving Implementation

Coal Preparation » General

Published: September 17Project Number: C26038

Get ReportAuthor: Bruce Atkinson & Graham O’Brien | Basacon Services & CSIRO

Over the past ten years, ACARP has funded a number of projects which have been used CGA techniques and associated image processing software to undertake a wide range of projects to address specific industry needs at all stages in the coal chain from green field exploration, optimised coal recovery, coal utilisation and environmental concerns associated with coal dust. Over $4.0 million has been invested by ACARP with CSIRO, QCC, University of Newcastle, Jenkins Kwan Tech, University of Queensland, ALS Coal and University of New South Wales. This important work clearly has the potential to provide benefits across the entire coal chain and change the way coal quality is interpreted and used.

 

Despite the significant investment and the enormous potential of the method, only a limited number of industry participants are aware of CGA and its capabilities. A return on this investment requires the industry as a whole to realise its capability and take ownership with implementation. The benefits for doing so are articulated in the deliverables from the individual ACARP projects.

 

This project was undertaken to facilitate a series of workshops and create downloadable webinars on this topic. The specific objectives were to:

· Present four, one-day, in-person workshops;

· Make the workshops accessible by distributing venues geographically;

· Provide participants with notes/materials that will assist them to utilise CGA to their benefit; and

· Create a set of Webinars that are available to the industry for viewing.

 

The outcomes are:

· Four completed workshops;

· Downloadable webinar series with each webinar separated by topic;

· Wider industry knowledge and understanding of CGA and its applications;

· Expected take-up of use of CGA techniques; and

· Market demand for commercial operators to implement CGA analytical capability.

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