N. Peci, S. Mulaj, H. Hajra, B. Baruti
Monday 5 August 2013 by Libadmin2013

References: 13th SGEM GeoConference on Science and Technologies In Geology, Exploration and Mining, www.sgem.org, SGEM2013 Conference Proceedings, ISBN 978-954-91818-7-6 / ISSN 1314-2704, June 16-22, 2013, Vol. 1, 75 - 82 pp


Geostatistical analysis provides a powerful tool for enhancing the prediction and
decision making capabilities of geologists and mine planners.
This paper highlights the availability and benefits of some basic geostatistical
techniques for improving the results emanating from routine processing of geological
data. The main objectives were to identify the spatial variability of coal quality
parameters by conducting multivariate statistical analyses, including geostatistical
Drenica coal Tertiary basin is located in the mid of Kosovo coal basin in the east and
Dukagjini basin in the west.
Skenderaj coal deposit represents the northern more productive part of Drenica coal
basin. The deposit is explored by drillings. In total there were 42 drilling with 1790
meters in length, which provided good opportunity to study the deposit.
Geostatistical methods which are used for analysis are descriptive statistics, histograms,
correlation analysis, experimental variograms and their models.
Statistical distributions are presented through histograms. Intervals or bin limits are
determined based on characteristics of values for each variable in order to gained more
clear distribution. Correlation analysis is applied to the multivariate data set to
investigate the degree of similarities and probable interrelations among the coal quality
parameters. Linear correlation coefficient (r) is used us indicator for the strength of the
relationship between the variables.
Geostatistics continually makes use of the geology through the variogram to improve
the estimations and to force them to follow the underlying geological constraints of the
deposit. At the same time by quantifying the inherent spatial variability of coal
characteristics the variogram allows for the quantitative determination of reliability
measures that can be attached to estimates made to describe the deposit. The variogram
for each coal characteristic can be plotted as a function of the various distances and
The results of these analyses enable the determination of making decisions such
making maps for the categorization of reserves, making variance of calorific value, ash
content, thickness or another parametric set with a coefficient of error.

Keywords: coal seam, geostatistical analysis, descriptive statistics, multivariate
statistical analysis, variogram

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