Determination Of The Optimum Sampling Density For A Multi-Seam Lignite Deposit

According to previously established theoretical analysis and under certain conditions, a critical sampling grid can be determined for an earth-related space-distributed natural variable. Sampling above this critical limit adds little to the mapping results, while based on this limit the ideal process of reproducing the original phenomenon is theoretically defined. The objective of this paper is the application of the above theory to the Klidi lignite deposit in Florina, Greece, where Public Power Corporation (Greece) has conducted a sampling campaign to estimate the deposit thickness and its heating value. Data acquired for these two variables were analysed in the space domain in order to derive their respective correlation functions. The structural analysis of the deposit generated two covariance models, one for the thickness and one for the heating value, from which the critical sampling grid was identified. The conclusion drawn is that in some parts of the deposit the sampling grid is denser than required. Finally, an optimal sampling grid is proposed in order to gain the maximum information at the lowest cost.