Statistical Analysis of the Temperature Variations in Geothermal Surface Features Using a Numerical Model of Rotorua

We are using full-scale three dimensional numerical model of the Rotorua geothermal system to generate temperature and pressure time series in model blocks where a surface features is located. The Pearson correlation factors between the time series, rainfall, and recorded temperature variations in surface features are calculated which allows us to determine the contribution of these variations to the behaviour of the surface features for blocks at different depths. This is enable us to determine some of the main controls of the behaviour of such geothermal surface features and thus what should be included in a predictive model (e.g. rainfall and bi-annual production and reinjection rates).