Geothermal energy in Slovakia has been under systematic research since the second half of the last century. Nowadays, more than thirty prospective geothermal fields in Slovakia have been identified and described. The Liptov basin is considered one of the most promising geothermal fields due to a set of local hydrogeothermal structures, which opens a space for different uses of geothermal waters. From the point of view of thermodynamic quality and reservoir potential, modelling of the reservoir parameters aims to provide information about the most efficient way to use geothermal energy resources, based on a balance between the purpose of using and the parameters. Utilising existing temperature and initial thermodynamic quantities, such as enthalpy, entropy and exergy, defining on a coarse calculation grid, which is directly connected to the results of the stationary geothermic models, we built a set of 3D stochastic models using geostatistical simulation. The turning band method of the spatial simulation was used due to evident non-stationarity behaviour in a vertical direction as the consequence of a positive depth-temperature relationship. The geostatistical simulations aim to create multiple realisations of the studied thermodynamic variables to create numerical models. Subsequent assessments and classifications of the thermodynamic quality of energy sources regarding the processing of the numerical models for the defined thresholds (cut-offs) to obtain the spatial distributions of the studied thermodynamic variables and probabilities above the cut-offs. The entropy results, based on probability models, identify the areas with higher uncertainty. The processed results of the spatial modelling were applied for the typology of both reservoir units and the individual structures, concerning local specifics such as urbanisation, industry, agriculture or public services. The results provide support for decision-making processes in national and local administration as well as for the potential private investors during their project preparation and the investment consideration or minimizing the failure risks due to the project intention.

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