In this study we have developed a new generalized non-isothermal lumped-parameter model for predicting both the temperature and pressure behaviors of liquid dominated geothermal reservoirs. The model is capable of modeling the pressure and temperature behavior of multiple tanks. These tanks can represent multiple geothermal reservoirs or geothermal reservoirs with aquifers. Energy and mass balance equations are coupled to predict both the temperature and pressure behavior of a liquid-dominated geothermal system resulting from re-injection of low temperature water into the system, production and natural recharge. The model is coupled with an optimization routine (based on the Levenberg-Marquardt method) for performing history matching to field pressure and/or temperature measurements, from which model parameters could be adjusted.

The primary purpose of this study is to investigate whether using temperature and pressure data together provides benefits in estimating various model parameters that are not accessible from pressure data alone. Our results show that using temperature data in addition to pressure data for history matching improves the estimation of certain reservoir parameters such as the bulk volume of the reservoir and porosity, which are not accessible from history matching of pressure data alone. It is shown that temperature data contains information about certain reservoir parameters such as bulk volume, porosity, and temperatures and hence such parameters could be estimated by using temperature data in addition to pressure data in history matching.

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