This paper addresses a case study on global estimation of lignite reserve i
n the Kalburcayiri field from the Sivas-Kangal basin, which is one of the m
ost productive lignite basins in eastern Anatolia, Turkey. The two lignite
seams, which were developed in a fresh-water lacustrine depositional enviro
nment during the Pliocene time, are currently being exploited in the Kalbur
cayiri open-cast mine for feed coal to a power plant with 300-MW capacity.
Tonnage, thickness and quality parameters (ash yield, total sulphur content
, and calorific value) of the lignite are variables considered in this stud
y. The global estimates of these variables together with 95% confidence lim
its are obtained using the approximation principle of global estimation. A
random stratified grid is fitted to available boreholes; the variograms for
thickness and lignite quality parameters are estimated and modeled. The mo
dels are used in calculating estimation error variances that will later be
used in constructing 95% confidence intervals for the true values. (C) 2001
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