Toward improved coal density estimation from geophysical logs

Zhou, Binzhong and Esterle, Joan (2007). Toward improved coal density estimation from geophysical logs. In: Exploration Geophysics: 19th A.S.E.G. Conference and Exhibition. 19th ASEG Geophysical Conference & Exhibition, Perth, Western Australia, (124-132). 18-22 November 2007. doi:10.1071/EG08011


Author Zhou, Binzhong
Esterle, Joan
Title of paper Toward improved coal density estimation from geophysical logs
Conference name 19th ASEG Geophysical Conference & Exhibition
Conference location Perth, Western Australia
Conference dates 18-22 November 2007
Proceedings title Exploration Geophysics: 19th A.S.E.G. Conference and Exhibition   Check publisher's open access policy
Journal name Exploration Geophysics   Check publisher's open access policy
Place of Publication Sydney, Australia
Publisher CSIRO Publishing
Publication Year 2007
Sub-type Fully published paper
DOI 10.1071/EG08011
ISSN 0812-3985
Volume 39
Issue 2
Start page 124
End page 132
Total pages 9
Language eng
Abstract/Summary Density plays an important role in coal resource estimation and reconciliation, as well as in defining coal quality. Current practice employs direct density measurements on widely spaced core samples, rather than utilising abundant geophysical logging data. This is mostly due to the perception that the precision and accuracy of density estimation from geophysical logs is unsatisfactory. This paper demonstrates that the density wireline log, supported by other geophysical logs, provides a reliable direct measurement of in-situ coal density. We have produced a consistent and reliable correlation of geophysical log density with a laboratory-derived density to within an accuracy of ±3%. This is achieved through careful constraints such as compensating for lost pore spaces and moisture to bring the laboratory relative density closer to in-situ environmental conditions, matching the laboratory sample depths with geophysical logs, excluding thin, boundary, and stone-band samples from the dataset, and calibrating the geophysical density with laboratory testing data and other geophysical logs by linear regression or Radial Basis Function and Self-Organised Mapping techniques. In addition, we also illustrate that the improved geophysical log density can be used for coal quality estimation.
Subjects 240000 Physical Sciences
260000 Earth Sciences
EX
Keyword coal density
coal quality
geophysical logs
Q-Index Code EX
Additional Notes Exploration Geophysics,Volume 39 Number 2 2008, Featuring papers from the 19th ASEG Conference and Exhibition.

 
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Created: Wed, 06 Aug 2008, 21:06:45 EST by Laura McTaggart on behalf of School of Mathematics & Physics