Abstract
A successful geothermal field size assessment requires integrative data analysis of all aspects to determine the optimum capacity to be installed. Nowadays, numerical simulation becomes a powerful tool in a geothermal resource assessment process. However, this method involves significant uncertainty of subsurface information as an input. Then a study of resource assessment methods, such as heat stored and experimental design, needs inputs coming from the result/output of reservoir numerical. The calculation of both methods based on a range of reservoir parameter values can be carried out using stochastic methods (Monte Carlo Simulation). It applies a probabilistic method of resource assessment to capture uncertainties. A sophisticated numerical reservoir model of Ciwidey-Patuha Geothermal Field, West Java-Indonesia in the natural state condition was used as a case study to determine the generating potential of the reservoir.
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