| Title | Scale Prediction and Inhibitor Selection for Turkish Geothermal Plants |
|---|---|
| Authors | Muller, L; Rodman, D; Gill, J |
| Year | 2016 |
| Conference | European Geothermal Congress |
| Keywords | Geothermal Chemistry Modelling, ROI, Silica, Stibnite |
| Abstract | As Geothermal power continues to increase in Europe, the need for accurate brine chemistry modelling and risk mitigation has become more apparent. The Geomizer software is designed to predict mineral scale formation for geothermal power plants and helps identify preferred inhibition options. The web application is capable of modelling multiple configurations incorporating binary plants flash plants, reinjection systems, multiple well feeds and separators. This application is capable of predicting scaling issues that may result from the blending of multiple brines and predicts the distribution of gaseous contaminants at variable pressures and temperatures and the impact on the water chemistry. Based on the thermodynamic calculations and the various scale and corrosion inhibition models embedded into the software, an optimum dose of Scale and Corrosion inhibitors is predicted and identifies chemical inhibitors that won’t perform in the subjects’ environment. |