Open-source learning as a skill for geoelectrical data processing: the case of pyGIMLi

Open-source learning as a skill for geoelectrical data processing: the case of pyGIMLi

It is important that new strategies are developed for the management of geoelectrical data produced from engineering and geoscience processing techniques. For this reason, the article demonstrates how pyGIMLi can be used for this purpose. pyGIMLi is an open-source library for the inversion of appar...

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Bibliographic Details
Main Authors: Brayan Alexis Quiceno-Arenas, Juan Guillermo Paniagua-Castrillón, Andrés Mauricio Muñoz-García, Luis Fernando Duque-Gómez, Moisés Oswaldo Bustamante-Rúa
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2022-07-01
Series:Dyna
Subjects:
learning in engineering; geosciences; open-source; pyGIMLi; geoelectrical data
Online Access:https://revistas.unal.edu.co/index.php/dyna/article/view/101826

Internet

https://revistas.unal.edu.co/index.php/dyna/article/view/101826

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