Calorific value and compositional ultimate analysis with a case study of a Texas lignite

International Journal of Coal Geology
By: , and 

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Abstract

Measurements to determine coal quality as fuel include proximate analysis, ultimate analysis and calorific value. The latter is an attribute taking non-negative real values, so a simple transformation is sufficient for its spatial modeling applying geostatistics. The analyses, however, involve proportions that follow the properties of compositional data, thus requiring special preprocessing for an adequate modeling already described in a previous publication for the case of proximate analysis data.1 Here we model the results of calorific value and ultimate analysis. We propose to use two different binary partitions, one per analysis, map the corresponding isometric logratio transformations, and backtransform the results. The methodology is illustrated using the same coal bed in the previous paper modeling proximate analysis data. Results are summarized using probability maps that, in the case of this deposit, show a prominent channel crossing the deposit and separating the best quality coal from that of lower quality.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Calorific value and compositional ultimate analysis with a case study of a Texas lignite
Series title International Journal of Coal Geology
DOI 10.1016/j.coal.2016.05.005
Volume 162
Year Published 2016
Language English
Publisher Elsevier
Contributing office(s) Eastern Energy Resources Science Center
Description 7 p.
First page 27
Last page 33