Traditional methods are commonly used in the assessment of grade and reserve of ore deposits. However, these methods do not take into account the uncertainty associated with the estimates and spatial continuity of a deposit, are also inadequate for short range mine planning. Thus, the reliability and estimate confidence are decreased. Modem geostatistical methods make structural modelling and spatial correlation of an ore deposit and provide the measure of the error associated with estimates, simulation and planning of mine production. Sequential Gaussian Simulation (SGS) was applied to address the problem of measuring the uncertainty associated with an estimate for Tufanbeyli lignite deposits. The accuracy of SGS results have been tested by simulation statistics, histogram and variogram. reproduction. Simulation, mean, standard deviation of SGS maps for calorific value and thickness has been generated. These models can be used in planning of mine production and operation, quality classifications and research-development works.