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Provincialism and correlations between some properties of vitrinites
Authors:John M Jones  Alan Davis  Alan C Cook  Duncan G Murchison  Ernest Scott
Institution:1. Organic Geochemistry Unit, Department of Geology, University of Newcastle upon Tyne, Drummond Building, Newcastle upon Tyne, NE1 7RU England;2. The Pennsylvania State University, 513 Deike Building, University Park, PA 16802 U.S.A.;3. Department of Geology, University of Wollongong, P.O. Box 1144, Wollongong, N.S.W. 2500 Australia;4. 14 Cleveland Road, North Shields, Tyne and Wear, England
Abstract:Optical and chemical properties for hand-picked samples of vitrinite from a number of British coalfields are correlated and the correlations compared with previously published data. The form of the relationship found for the properties of British vitrinites is generally similar to that exhibited by a number of other sets of analyses, but some significant differences also exist in several of the correlations. For maximum reflectance as a function of carbon content, the present data indicate that at medium and low ranks, maximum reflectance is lower than the level suggested by most previous studies. The relationships of volatile-matter yield to reflectance and carbon content suggest that at low ranks, volatile-matter yield is strongly dependent upon the nature of the coalification history of the vitrinite. Furthermore, these correlations are likely to show provincialism, in that correlations which hold for one coalfield may not be representative of the relationship in other coalfields. Similarly, major differences in relationships involving bireflectance are associated with the tectonic setting at the time of effective coalification. The data presented here indicate that for low-rank coals at least, correlations between properties of vitrinites must take account of provincialism if they are to be sufficiently reliable to be useful. The measurement of a number of rank-sensitive variables can yield additional information about rank, as compared with the use of a single rank-sensitive variable.
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