Kütahya Si̇mav geothermal field wells interaction and production/injection optimization

In geothermal reservoir modeling, tank modeling is mainly used at the early life of the field when relatively little data is available. Also, the other advantage of tank modeling is that the result is obtained in shorter time during history matching. Because of that reason, tank modeling is used in reservoir which does not have heterogeneous, the fluid in reservoir is not complex and the well doesn't consist of different geometry structure. With tank modeling, the reservoir and the aquifer are modeled using homogeneous tanks. Mass and energy balance equations are solved on the tanks for making future performance predictions of pressure and temperature. These pressure and temperatures represent the average pressure and temperature of the reservoir. If production data is available, model parameters that best describe the system could be obtained through history matching. In this study, advantages of tank modeling was considered and we have also pointed out a methodology for determining the best model that represents the system. For this purpose we perform history matching with various models and select the one that matches best the production data and the model that gives the lowest confidence intervals for the model parameters. Effect of temperature is neglected at low temperature geothermal reservoir. Although it is important to make accurate predictions of pressure and temperature, it is more important to make predictions of the uncertainty regarding the pressures and the temperatures. In this study we have used the non-isothermal single tank modelling for performing Kütahya-Simav geothermal field modeling. The scope of the model parameters are determined by using interference test datas. Calibration of model parameter values are realized with JMP statistics program. An interface has been created on computer and field model has been developed using this interface. Model has been revised by defining calibration of the model parameters and uncertainties. After modelling, having been planned the production, changes in pressure and temperature profiles under different type of reinjection scenarios are revealed by taking into consideration that field needs more fluid for city heating in the winter.