Predicting how coal seams will be beneficiated through the coal handling processing plant (CHPP) has long been challenging within BHP Coal. Various coal seams from different areas are mined and stockpiled separately, often depending upon a deleterious coal quality parameter; high/low trace elements for example. These stockpiles are then fed in different ratios into the CHPP to produce the desired product/s. In understanding the washability characteristics of the feed source, mine geologists and process engineers work together to improve the beneficiation of different coal materials through the CHPP.
For the majority of the BHP Coal
deposits, the washability data is available for the coal seams across the
deposits. However, no previous standardised modelling and prediction technique
existed that could ensure the correct information was available for forecasting
and refining CHPP processes. This paper will discuss the steps undertaken to
implement a geometallurgical prediction tool that simplified and streamlined the
washability modelling and yield estimation process. The value realised to the
BHP Coal assets resulting from this process was:
- improved compliance to plan
- increased throughput
- increased CHPP recovery through improved efficiencies and increased
Handley, P J, 2017.
Washability modelling and estimation techniques used to improve coal handling
preparation plant beneficiation, in Proceedings Tenth International Mining
Geology Conference 2017, pp 327–336 (The Australasian Institute of Mining and