Back to Search Start Over

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

Authors :
Brayan Alexis Quiceno-Arenas
Juan Guillermo Paniagua-Castrillón
Andrés Mauricio Muñoz-García
Luis Fernando Duque-Gómez
Moisés Oswaldo Bustamante-Rúa
Source :
Dyna, Vol 89, Iss 222 (2022)
Publication Year :
2022
Publisher :
Universidad Nacional de Colombia, 2022.

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.

Details

Language :
English, Spanish; Castilian
ISSN :
00127353 and 23462183
Volume :
89
Issue :
222
Database :
Directory of Open Access Journals
Journal :
Dyna
Publication Type :
Academic Journal
Accession number :
edsdoj.5f9013daefaf41bfb07958fc2af053db
Document Type :
article
Full Text :
https://doi.org/10.15446/dyna.v89n222.101826