Resumen

QUICENO-ARENAS, Brayan Alexis et al. Open-source learning as a skill for geoelectrical data processing: the case of pyGIMLi. Dyna rev.fac.nac.minas [online]. 2022, vol.89, n.spe222, pp.48-53.  Epub 02-Sep-2022. ISSN 0012-7353.  https://doi.org/10.15446/dyna.v89n222.101826.

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 apparent resistivity array that are often obtained with different geoelectrical survey equipment. The aim is to be able to use this library unaided for various projects and/or to perform various data operations in which the results obtained are more specific and differentiated than those derived from other processing techniques, taking advantage of the fact that this tool is open-source.

Palabras clave : learning in engineering; geosciences; open-source; pyGIMLi; geoelectrical data.

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