Geothermal monitoring is a necessary measure to develop and utilize the geothermal energy in a geothermal field. The analysis of monitoring data can provide an understanding how the reservoir response to the different condition of geothermal production and reinjection. The study in this paper performs simple statistical analysis on a dataset of the geothermal field in Tianjin, China, and the result forecasts three set of estimations of the future drawdown level. The study uses statistical analysis software R to find the best model that represents the relationship between the average drawdown and the rate of reinjection and production. It modifies the original data, evaluates the issue of multicollinearity, and adds the interaction terms to build a simple regression model. The paper also predicts the future variation of drawdown, based on hypothetical sets of the production/reinjection rates. The prediction of the study helps the scientists to design a more efficient and environmental friendly management of the geothermal energy in the future. Based on further continuous geothermal monitoring, the model can be optimized．

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