Open-source learning as a skill for geoelectrical data processing: the case of pyGIMLi
Fuente:
Redalyc
Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad Nacional de Colombia
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1876453306473119744 |
|---|---|
| author | Brayan Alexis Quiceno-Arenas |
| author_facet | Brayan Alexis Quiceno-Arenas |
| contents | Open-source learning as a skill for geoelectrical data processing: the case of pyGIMLi Brayan Alexis Quiceno-Arenas Juan Guillermo Paniagua-Castrillón Andrés Mauricio Muñoz-García Luis Fernando Duque-Gómez Moisés Oswaldo Bustamante-Rúa Ingeniería open source pyGIMLi geosciences geoelectrical data 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. 2022 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49673349005 https://www.redalyc.org/journal/496/49673349005/ https://www.redalyc.org/journal/496/49673349005/html/ https://www.redalyc.org/journal/496/49673349005/49673349005.epub https://www.redalyc.org/journal/496/49673349005/movil 10.15446/dyna.v89n222.101826 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.222 Vol.89 |
| format | Artículo científico |
| id | redalyc_49673349005 |
| institution | Redalyc |
| language | en |
| publishDate | 2022 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Open-source learning as a skill for geoelectrical data processing: the case of pyGIMLi Brayan Alexis Quiceno-Arenas Ingeniería open source pyGIMLi geosciences geoelectrical data Open-source learning as a skill for geoelectrical data processing: the case of pyGIMLi Brayan Alexis Quiceno-Arenas Juan Guillermo Paniagua-Castrillón Andrés Mauricio Muñoz-García Luis Fernando Duque-Gómez Moisés Oswaldo Bustamante-Rúa Ingeniería open source pyGIMLi geosciences geoelectrical data 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. 2022 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49673349005 https://www.redalyc.org/journal/496/49673349005/ https://www.redalyc.org/journal/496/49673349005/html/ https://www.redalyc.org/journal/496/49673349005/49673349005.epub https://www.redalyc.org/journal/496/49673349005/movil 10.15446/dyna.v89n222.101826 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.222 Vol.89 |
| title | Open-source learning as a skill for geoelectrical data processing: the case of pyGIMLi |
| topic | Ingeniería open source pyGIMLi geosciences geoelectrical data |
| url | https://www.redalyc.org/articulo.oa?id=49673349005 https://www.redalyc.org/journal/496/49673349005/ https://www.redalyc.org/journal/496/49673349005/html/ https://www.redalyc.org/journal/496/49673349005/49673349005.epub https://www.redalyc.org/journal/496/49673349005/movil |