Open-source learning as a skill for geoelectrical data processing: the case of pyGIMLi
Author:
Quiceno-Arenas Brayan AlexisORCID, Paniagua-Castrillón Juan GuillermoORCID, Muñoz-García Andrés MauricioORCID, Duque-Gómez Luis FernandoORCID, Bustamante-Rúa Moisés OswaldoORCID
Abstract
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.
Publisher
Universidad Nacional de Colombia
Subject
General Engineering
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