Identification of Geothermal Reservoirs in South Cameroon from a Combined Landsat 8 and AMT Data

This geothermal source prospecting work is carried out in order to respond to the energy deficit affecting the populations of South Cameroon in particular. The study combines audio-magnetotelluric (AMT) and Landsat 8 data for the geolocation of reservoirs, as well as the geological and tectonic info...

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Main Authors: Piameu Kwagag Joel, Owona Angue Marie Louise-Clotilde, Ngatchou Evariste, Njingti Nfor, Kue Petou Rokis Malquaire, Njandjock Nouck Philippe
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:International Journal of Geophysics
Online Access:http://dx.doi.org/10.1155/2022/1324766
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author Piameu Kwagag Joel
Owona Angue Marie Louise-Clotilde
Ngatchou Evariste
Njingti Nfor
Kue Petou Rokis Malquaire
Njandjock Nouck Philippe
author_facet Piameu Kwagag Joel
Owona Angue Marie Louise-Clotilde
Ngatchou Evariste
Njingti Nfor
Kue Petou Rokis Malquaire
Njandjock Nouck Philippe
author_sort Piameu Kwagag Joel
collection DOAJ
description This geothermal source prospecting work is carried out in order to respond to the energy deficit affecting the populations of South Cameroon in particular. The study combines audio-magnetotelluric (AMT) and Landsat 8 data for the geolocation of reservoirs, as well as the geological and tectonic information. The processing of these data defined 5 profiles and led to two-dimensional models of resistivity sections for each profile. The interpretation of the data identified a highly conductive zone with a resistivity ranged 1–10 Ω·m at an estimated depth of 1200 m in the locality of Menve’ele. The Landsat 8 data collected in this area during the same period enabled the elaboration of temperature and lineament anomaly maps of the study area. High-temperature areas with high lineament predominance correlate better with areas of low resistivity. For example, Menve’ele (A1) has a surface temperature range of 20°C–30°C and a high density of lineaments. By correlating these results with those provided by previous authors, the Menve’ele locality may be the target of a potential geothermal reservoir. A 3D resistivity model is built to better understand the variations of resistivity and their depths. The geological and tectonic information of the region confirm the tectonic origin of the faults and lineaments as well as the predominance of metamorphic and sedimentary formations.
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spelling doaj-art-f72eccb2f79e4d3f97ed112966a113552025-02-03T00:59:35ZengWileyInternational Journal of Geophysics1687-88682022-01-01202210.1155/2022/1324766Identification of Geothermal Reservoirs in South Cameroon from a Combined Landsat 8 and AMT DataPiameu Kwagag Joel0Owona Angue Marie Louise-Clotilde1Ngatchou Evariste2Njingti Nfor3Kue Petou Rokis Malquaire4Njandjock Nouck Philippe5Postgraduate School of SciencesDepartment of PhysicsDepartment of PhysicsDepartment of PhysicsNational Institute of CartographyDepartment of PhysicsThis geothermal source prospecting work is carried out in order to respond to the energy deficit affecting the populations of South Cameroon in particular. The study combines audio-magnetotelluric (AMT) and Landsat 8 data for the geolocation of reservoirs, as well as the geological and tectonic information. The processing of these data defined 5 profiles and led to two-dimensional models of resistivity sections for each profile. The interpretation of the data identified a highly conductive zone with a resistivity ranged 1–10 Ω·m at an estimated depth of 1200 m in the locality of Menve’ele. The Landsat 8 data collected in this area during the same period enabled the elaboration of temperature and lineament anomaly maps of the study area. High-temperature areas with high lineament predominance correlate better with areas of low resistivity. For example, Menve’ele (A1) has a surface temperature range of 20°C–30°C and a high density of lineaments. By correlating these results with those provided by previous authors, the Menve’ele locality may be the target of a potential geothermal reservoir. A 3D resistivity model is built to better understand the variations of resistivity and their depths. The geological and tectonic information of the region confirm the tectonic origin of the faults and lineaments as well as the predominance of metamorphic and sedimentary formations.http://dx.doi.org/10.1155/2022/1324766
spellingShingle Piameu Kwagag Joel
Owona Angue Marie Louise-Clotilde
Ngatchou Evariste
Njingti Nfor
Kue Petou Rokis Malquaire
Njandjock Nouck Philippe
Identification of Geothermal Reservoirs in South Cameroon from a Combined Landsat 8 and AMT Data
International Journal of Geophysics
title Identification of Geothermal Reservoirs in South Cameroon from a Combined Landsat 8 and AMT Data
title_full Identification of Geothermal Reservoirs in South Cameroon from a Combined Landsat 8 and AMT Data
title_fullStr Identification of Geothermal Reservoirs in South Cameroon from a Combined Landsat 8 and AMT Data
title_full_unstemmed Identification of Geothermal Reservoirs in South Cameroon from a Combined Landsat 8 and AMT Data
title_short Identification of Geothermal Reservoirs in South Cameroon from a Combined Landsat 8 and AMT Data
title_sort identification of geothermal reservoirs in south cameroon from a combined landsat 8 and amt data
url http://dx.doi.org/10.1155/2022/1324766
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