Effects of geostatistical methods on modelling of different mine reserve types

The development and progress of a country depends on the proper evaluation of underground and open pit resources, their analyses and production by scientific and economic methods. Because, 99% of the tools and materials that make life active and functional are provided from natural resources, especially from mines. In short, raw material potentials are the most important power of countries and are the real sources on which development and development will be based. In this study, two different mining reserve bedding type are analysed. One of them is coal bed. Coal beds are found in the form of basin type bedding. In other words, this type of bedding exhibits a layer type distribution type over large scale area and do not show sharp changes in terms of quality parameters and thickness (close to uniform distribution). The second data set consists of gold (Au), copper (Cu), lead (Pb) and zinc(Zn) mine which presents a porphyric bedding types exhibiting a non-uniform distribution of data. The study covers the geostatistical analyses and mapping of two different mining types using kriging and simulation techniques. As a results of this study, the application results of the geostatistical tools in different type bedded mining is assessed. The calculations are carried out by an open-source software GSLIB. Results reflected that kriging based methods are rather suitable in mining beds showing no sharp changes whereas simulation is giving much healthier results in where suddenly local changes are observed. Keywords: mining, geostatistics, coal, gold, kriging, simulation, GSLIB