Three new improved Na/K geothermometers using computational and geochemiometrical tools: application to the temperature prediction of geothermal systems

  • Lorena Díaz-González Posgrado en Ingeniería (Energía), Universidad Nacional Autónoma de México, Privada Xochicalco s/n, Centro, 62580 Temixco, Mor., México.
  • Edgar Santoyo Centro de Investigación en Energía, Universidad Nacional Autónoma de México, Privada Xochicalco s/n, Centro, 62580 Temixco, Mor., México.
  • Juan Reyes-Reyes Instituto Tecnológico de Zacatepec, Calzada Tecnológico No. 27, 62780 Zacatepec, Mor., México.
Keywords: geothermometry, statistics, exploration, geochemometrics, artificial neural networks, geothermal systems.

Abstract

Three new improved equations of the Na/K geothermometer were 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:

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Published
2018-01-22
Section
Articles