Coal characterisation by automated coal petrography

O'Brien, G., Jenkins, B., Esterle, J. and Beath, H. (2003) Coal characterisation by automated coal petrography. Fuel, 82 9: 1067-1073. doi:10.1016/S0016-2361(02)00428-3

Author O'Brien, G.
Jenkins, B.
Esterle, J.
Beath, H.
Title Coal characterisation by automated coal petrography
Journal name Fuel   Check publisher's open access policy
ISSN 0016-2361
Publication date 2003-06-01
Year available 2003
Sub-type Article (original research)
DOI 10.1016/S0016-2361(02)00428-3
Open Access Status
Volume 82
Issue 9
Start page 1067
End page 1073
Total pages 7
Place of publication Oxford, England
Publisher Elsevier Science
Language eng
Subject 0914 Resources Engineering and Extractive Metallurgy
Abstract Automated imaging techniques were refined to characterise the rank and maceral composition of coals by a full maceral reflectogram of polished coal grain mounts. Precision was improved by processing individual grains in each image separately and correcting within the software for the topography that occurs between the different macerals and minerals in the grains. Maceral group proportions and vitrinite reflectance information extracted from these reflectograms compared well with manual results for a comprehensive suite of Australian coals varying in rank from a mean vitrinite reflectance of 0.48-2.13%. A parameter that combines rank and type calculated from the reflectograms correlated strongly with chemical properties determined by ultimate and proximate analyses. For a limited number of samples, for which coking tests had been performed, this parameter also correlated with estimated coking performance. Crown Copyright (C) 2003 Published by Elsevier Science Ltd. All rights reserved.
Keyword Energy & Fuels
Engineering, Chemical
full maceral reflectogram
coke strength after reaction
coke reactivity index
image calibration
topography correction
Q-Index Code C1
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
Earth Systems Science Computational Centre Publications
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Citation counts: TR Web of Science Citation Count  Cited 14 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 18 times in Scopus Article | Citations
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Created: Thu, 07 Aug 2008, 20:53:41 EST