DSpace À propos de l'application DSpace
 

Depot Institutionnel de l'UMBB >
Publications Scientifiques >
Publications Internationales >

Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/10253

Titre: Vertical electrical sounding data inversion using continuous ant colony optimization algorithm : a case study from Hassi R'Mel, Algeria
Auteur(s): Bouchaoui, Lyes
Ferahtia, Jalal
Farfour, Mohammed
Djarfour, Nouredine
Mots-clés: Ant colony optimization
Global optimization
Groundwater
Hassi R'Mel
Inversion
Vertical electrical sounding
Date de publication: 2022
Editeur: John Wiley and Sons Inc
Collection/Numéro: Near Surface Geophysics/ Vol.20, N°4 (2022);pp. 419-439
Résumé: Among the existing geophysical methods, the vertical electrical sounding remains a fast and economical way to detect groundwater resources. However, the interpretation of the vertical electrical sounding data often suffers from non-uniqueness due to the ill-posed nature of the inverse problem. In recent years, metaheuristic algorithms have been successfully used for solving ill-conditioned and ill-posed problems. This work presents a scheme that uses the continuous ant colony optimization (ACOR) technique to invert vertical electrical sounding data. The ACOR is a global search algorithm that explores and finds the globally optimal solution over a search space by mimicking the behaviour of biological ants. The development of this algorithm was due to the requirement to interpret a set of vertical electrical sounding collected at the region of Hassi R'Mel (Algerian Sahara). The area has a particular geological/geoelectrical structure, which renders the interpretation of vertical electrical sounding challenging as standard inversion approaches tend to fail to recover a reliable resistivity model. The ACOR algorithm was initially tested with synthetic data from models simulating the geological/hydrogeological structure of the studied area. The results verified the robustness and stability of the ACOR algorithm even in the presence of a high level of noise. Furthermore, the tests indicated that the ACOR algorithm performed better when compared to other inversion techniques for this particular geoelectrical structure. Five vertical electrical sounding profiles using a Schlumberger array collected in the region of Hassi R'Mel were inverted using the ACOR algorithm. The models confirmed the presence of the two central aquifer systems and showed the geometry of the aquifer with the most favourable conditions for water accumulations
URI/URL: https://doi.org/10.1002/nsg.12210
https://onlinelibrary.wiley.com/doi/abs/10.1002/nsg.12210
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/10253
ISSN: 15694445
Collection(s) :Publications Internationales

Fichier(s) constituant ce document :

Il n'y a pas de fichiers associés à ce document.

View Statistics

Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.

 

Valid XHTML 1.0! Ce site utilise l'application DSpace, Version 1.4.1 - Commentaires