About This Item

Share This Item

The AAPG/Datapages Combined Publications Database

AAPG Bulletin


Volume: 65 (1981)

Issue: 9. (September)

First Page: 1678

Last Page: 1678

Title: Estimation of Uncertainty in Coal Resources: ABSTRACT

Author(s): D. Mathew, M. P. Roberts

Article Type: Meeting abstract


The use of alternate energy sources to supplement dwindling domestic petroleum resources will increase in the future. Among alternate resources, coal will contribute greatly to the future energy mix. Official estimates of the United States coal resources published during the past 15 years range from less than 1.7 to as much as 3.9-trillion short tons (1.5 to 3.5-trillion metric tons). These differences imply that a high degree of uncertainty exists in resource assessment.

A comparison of variability in coal resource estimates in areas of different ancient depositional environments is examined in an attempt to utilize depositional systems for improved coal resource estimates.

The Texas Gulf Coast basin was chosen to develop the methodology of resource evaluation because it exhibits a full range of ancient depositional environments. Two lignite deposits are evaluated, one from the alluvial plain setting of the Wilcox Group in east Texas and the other from the delta plain setting of the Jackson Group in east Texas.

Important sources of uncertainty in resource estimation include variability of seam thickness and areal distribution. To test the degree of uncertainty caused by variations in seam thickness, the numbers of boreholes considered in each lignite deposit are reduced and resources are calculated for each reduction in data.

Classical statistical methods are used to determine the number of boreholes required to obtain resource estimates of individual seams within a given confidence interval and specified conditions. Geostatistics (variograms and kriging) are used to measure variability in resource estimates.

These studies show that the minimum number of boreholes required to characterize coal resources within an accuracy of 20% for example, is substantially less than might be expected intuitively, and that the degree of assuredness depends on the coefficient of variation of the data analyzed.

End_of_Article - Last_Page 1678------------

Copyright 1997 American Association of Petroleum Geologists