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Sequential simulation approach to modeling of multi-seam coal deposits with an application to the assessment of a Louisiana lignite

Natural Resources Research

By:
,
DOI: 10.1007/s11053-012-9185-1

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Abstract

There are multiple ways to characterize uncertainty in the assessment of coal resources, but not all of them are equally satisfactory. Increasingly, the tendency is toward borrowing from the statistical tools developed in the last 50 years for the quantitative assessment of other mineral commodities. Here, we briefly review the most recent of such methods and formulate a procedure for the systematic assessment of multi-seam coal deposits taking into account several geological factors, such as fluctuations in thickness, erosion, oxidation, and bed boundaries. A lignite deposit explored in three stages is used for validating models based on comparing a first set of drill holes against data from infill and development drilling. Results were fully consistent with reality, providing a variety of maps, histograms, and scatterplots characterizing the deposit and associated uncertainty in the assessments. The geostatistical approach was particularly informative in providing a probability distribution modeling deposit wide uncertainty about total resources and a cumulative distribution of coal tonnage as a function of local uncertainty.

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Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Sequential simulation approach to modeling of multi-seam coal deposits with an application to the assessment of a Louisiana lignite
Series title:
Natural Resources Research
DOI:
10.1007/s11053-012-9185-1
Volume
21
Issue:
4
Year Published:
2012
Language:
English
Publisher:
Springer
Contributing office(s):
Eastern Energy Resources Science Center
Description:
17 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
First page:
443
Last page:
459
Country:
United States
State:
Louisiana