Optimizing of Sampling of Lignite Deposit Using Geostatistical Methods – A Case Study

Abstract

Sampling on each stage (D, C2, C1, B) aims at documenting quality parameters of the fossil in a given location (obtaining discrete data) so that it is possible to obtain information with increased reliability on the deposit and the manner of arrangement of collected samples may cause significant consequences in the aspect of economics (Carrasco at al., 2004). Wrong net of holes is included as a geological risk (one of many existing in the chain of values’ creation (Jurdziak, Wiktorowicz, 2008a). Therefore, a key issue is optimization of recognition and sampling of deposits and, as a consequence, estimating resources of deposits intended for exploitation so that the estimated values are encumbered with the smallest error possible. Simultaneously, it should be remembered that the costs resulting from sampling (recognition) are adequate to the benefits involving a possibility to steer the quality of the winning directed to the power station (Naworyta, 2008). Geostatic methods are used to solve the abovementioned problems (Clark 1987, Clark, Harper, 2001; Journel, Huijbregts, 2003; Mucha, 1994; Namysłowska-Wilczyńska, 2006). The reasonability for using them in order to reduce costs of geological costs is confirmed by Mucha and Dolik (1999) to describe, inter alia.: - optimization of placement of samples in mine excavations – calculations allowed to establish an optimum sampling interval which turns more beneficial due to the reduction in costs connected with sampling and chemical analyses.