Predicting Iron Ore Fines Shipment Moisture

The Australasian Institute of Mining and Metallurgy
J E. Everett D Linden P Maney
Organization:
The Australasian Institute of Mining and Metallurgy
Pages:
9
File Size:
1626 KB
Publication Date:
Aug 12, 2013

Abstract

In response to the implementation of a new schedule for iron ore fines in the International Maritime OrganizationÆs (IMO) International Maritime Solid Bulk Cargoes (IMSBC) Code, improved measures for the management of moisture have been developed. In particular, prediction of cargo moisture allows management of iron ore fines within the supply?chain to facilitate the safe?shipping of iron ore fines.An ARIMA model, augmented to allow for shipment tonnage, has been developed to predict the moisture level from previous shipments of the same product. The model explains about 60 per cent of the moisture variance. It was found that inclusion of other available information, such as ore composition, train/rake assays and recent rainfall at port and mine, did not add to the predictive power of the model.CITATION:Everett, J E, Linden, D and Maney, P, 2013. Predicting iron ore fines shipment moisture, in Proceedings Iron Ore 2013 , pp 17-26 (The Australasian Institute of Mining and Metallurgy: Melbourne).
Citation

APA: J E. Everett D Linden P Maney  (2013)  Predicting Iron Ore Fines Shipment Moisture

MLA: J E. Everett D Linden P Maney Predicting Iron Ore Fines Shipment Moisture. The Australasian Institute of Mining and Metallurgy, 2013.

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