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

Authors :
Alexis Quiceno-Arenas, Brayan
Guillermo Paniagua-Castrillón, Juan
Mauricio Muñoz-García, Andrés
Fernando Duque-Gómez, Luis
Oswaldo Bustamante-Rúa, Moisés
Source :
Dyna. Jul2022, Vol. 89 Issue 222, p48-53. 6p.
Publication Year :
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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00127353
Volume :
89
Issue :
222
Database :
Academic Search Index
Journal :
Dyna
Publication Type :
Academic Journal
Accession number :
158578113
Full Text :
https://doi.org/10.15446/dyna.v89n221.101826