Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling
Numerical modeling analysis was used to assess the suitable electrical resistivity arrays for the characterization of geological structures, including dyke, horst, graben, sub-vertical, and vertical structures. These geological structures usually make up the aquifers interested in the hydrogeologica...
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Format: | Article |
Language: | English |
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Elsevier
2022-05-01
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Series: | Heliyon |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844022007150 |
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author | Kehinde D. Oyeyemi Ahzegbobor P. Aizebeokhai Mohamed Metwaly Oluseun Omobulejo Oluseun A. Sanuade Emmanuel E. Okon |
author_facet | Kehinde D. Oyeyemi Ahzegbobor P. Aizebeokhai Mohamed Metwaly Oluseun Omobulejo Oluseun A. Sanuade Emmanuel E. Okon |
author_sort | Kehinde D. Oyeyemi |
collection | DOAJ |
description | Numerical modeling analysis was used to assess the suitable electrical resistivity arrays for the characterization of geological structures, including dyke, horst, graben, sub-vertical, and vertical structures. These geological structures usually make up the aquifers interested in the hydrogeological evaluation of crystalline basement terrains. Six electrode configurations, including Wenner alpha (α), Wenner beta (β), Wenner gamma (γ), Schlumberger array, dipole-dipole array, and pole-dipole array, were used to assess the geological structures for groundwater exploration. The synthetic models of the geological structures were generated using RES2DMOD code, and 5% noise was added to all the models. The generated models were inverted using the RES2DINV code. The results show that the most suitable arrays for dyke and graben structures are Wenner alpha, while Wenner beta is the most suitable for the horst structure. The Schlumberger array was the best for both sub-vertical and vertical structures. This study has demonstrated the efficacy of numerical modeling in assessing the best resistivity arrays for 2D electrical resistivity imaging for groundwater exploration prior to geophysical field investigation. |
first_indexed | 2024-04-12T18:01:55Z |
format | Article |
id | doaj.art-04ffbfded80044a5a73f2ae39b22d33a |
institution | Directory Open Access Journal |
issn | 2405-8440 |
language | English |
last_indexed | 2024-04-12T18:01:55Z |
publishDate | 2022-05-01 |
publisher | Elsevier |
record_format | Article |
series | Heliyon |
spelling | doaj.art-04ffbfded80044a5a73f2ae39b22d33a2022-12-22T03:22:07ZengElsevierHeliyon2405-84402022-05-0185e09427Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modelingKehinde D. Oyeyemi0Ahzegbobor P. Aizebeokhai1Mohamed Metwaly2Oluseun Omobulejo3Oluseun A. Sanuade4Emmanuel E. Okon5Applied Geophysics Unit, Department of Physics, Covenant University, Nigeria; Corresponding author.Applied Geophysics Unit, Department of Physics, Covenant University, NigeriaDepartment of Archaeology, College of Tourism and Archaeology, King Saud University, Saudi Arabia; National Research Institute of Astronomy and Geophysics (NRIAG), Helwan Cairo, EgyptApplied Geophysics Unit, Department of Physics, Covenant University, NigeriaBoone Pickens School of Geology, Oklahoma State University, Stillwater, United StatesDepartment of Geology, University of Calabar, NigeriaNumerical modeling analysis was used to assess the suitable electrical resistivity arrays for the characterization of geological structures, including dyke, horst, graben, sub-vertical, and vertical structures. These geological structures usually make up the aquifers interested in the hydrogeological evaluation of crystalline basement terrains. Six electrode configurations, including Wenner alpha (α), Wenner beta (β), Wenner gamma (γ), Schlumberger array, dipole-dipole array, and pole-dipole array, were used to assess the geological structures for groundwater exploration. The synthetic models of the geological structures were generated using RES2DMOD code, and 5% noise was added to all the models. The generated models were inverted using the RES2DINV code. The results show that the most suitable arrays for dyke and graben structures are Wenner alpha, while Wenner beta is the most suitable for the horst structure. The Schlumberger array was the best for both sub-vertical and vertical structures. This study has demonstrated the efficacy of numerical modeling in assessing the best resistivity arrays for 2D electrical resistivity imaging for groundwater exploration prior to geophysical field investigation.http://www.sciencedirect.com/science/article/pii/S2405844022007150Basement aquifersHydrogeologyElectrical resistivity imagingGroundwater explorationNumerical modeling |
spellingShingle | Kehinde D. Oyeyemi Ahzegbobor P. Aizebeokhai Mohamed Metwaly Oluseun Omobulejo Oluseun A. Sanuade Emmanuel E. Okon Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling Heliyon Basement aquifers Hydrogeology Electrical resistivity imaging Groundwater exploration Numerical modeling |
title | Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling |
title_full | Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling |
title_fullStr | Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling |
title_full_unstemmed | Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling |
title_short | Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling |
title_sort | assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling |
topic | Basement aquifers Hydrogeology Electrical resistivity imaging Groundwater exploration Numerical modeling |
url | http://www.sciencedirect.com/science/article/pii/S2405844022007150 |
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