Three new improved Na/K geothermometers using computational and geochemiometrical tools: application to the temperature prediction of geothermal systems
Vol. 25 No. 3 (2008), Regular Papers
Vol. 25 No. 3 (2008)

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

Regular Papers
Published 2018-01-22
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.
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Keywords

geothermometry
statistics
exploration
geochemometrics
artificial neural networks
geothermal systems.

How to Cite

Díaz-González, L., Santoyo, E., & Reyes-Reyes, J. (2018). Three new improved Na/K geothermometers using computational and geochemiometrical tools: application to the temperature prediction of geothermal systems. Revista Mexicana De Ciencias Geológicas, 25(3), 465–482. Retrieved from https://rmcg.unam.mx/index.php/rmcg/article/view/687
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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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