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Tres nuevos geotermómetros mejorados de Na/K usando herramientas computacionales y geoquimiométricas: aplicación a la predicción de temperaturas de sistemas geotérmicos

Keywords: geothermometry, statistics, exploration, geochemometrics, artificial neural networks, geothermal systems.

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Abstract:

three new improved equations of the na/k geothermometerwere developed through computational (artificial neural networks) and statistical tools (based on ordinary linear regression) from the analysis of a more representative world geochemical database (n=212) than hitherto used. the new na/k geothermometers are given by the following equations: these new geothermometric equations were successfully evaluated and compared with measured deep temperature wellbore logs using a different geochemical database (n=112) to avoid the training and regression bias. the obtained results clearly show that the new geothermometers systematically provide better and reliable estimations of the deep equilibrium temperatures (for temperatures over 160 °c) than the equations previously reported in the geothermal literature. details of the theoretical basis of the na/k geothermometer, the computational and geochemometric methodologies used, as well as the validation and comparison results are outlined in this work.

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