GeoModel-GIS: plug-in para QGIS de clasificación geológica y geotérmica de datos de magnetotelúrica para la comprensión de sistemas geotérmicos hidrotermales

Abstract

The exploration of geothermal resources is fundamental as part of the economic and social development of national governments, where it seeks to identify the volume, location and depth of these resources using geological, geophysical and geochemical methods. This process requires precise classification of data, key for strategic decisions in sectors such as energy and mining. In this context, the GeoModel-GIS Plug-In was designed and implemented in QGIS, using agile methodologies such as Scrum and Extreme Programming (XP) practices to identify functional and non-functional requirements, and develop a tool with a robust code base based in PyQGIS and PyQt5. The design of the Plug-In was based on the 4+1 architecture, with class diagrams, sequences and activities that guided the development. Its automated implementation showed high levels of acceptance among the professionals consulted, although the need to integrate additional geological, geophysical and geochemical exploration methods was identified to improve the analysis and understanding of geothermal zones. The GeoModel-GIS Plug-In allows you to automate the classification of subsoil layers according to apparent resistivity values from magnetotelluric data, and assign their corresponding geological and geothermal meaning. This facilitates the identification of key components of hydrothermal geothermal systems, such as seal layers, possible reservoirs and basement types. The tool includes a graphical interface organized in two main modules for data classification and editing, with support for files in .txt format of the one-dimensional models of magnetotelluric data and also provides a series of automatically generated validators that allow the user to correct errors in loading or editing data.