Identifying fault system and basement depth using aeromagnetic data beneath the Jahamah Platform, NE Sirt basin, Libya

The Jahamah Platform is a part of a structural depression called the Sirt basin, located in the northern central part of Libya. The Jahamah Platform spans latitude 29.95° N to 30.55° N and longitudes 19.32° E to 19.77° E with an estimated area of about 2,187 km2. Libyan Petroleum Institute provided...

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Main Authors: Kahoul, Sufian, Sidek, Akhmal, Eshanibli, Abdelhakim, Trepil, Fouzie, Jaafar, Mohd. Zaidi, Hassan, Moamen, Ghanoush, Hussin, Dugdug, Lutfi
Format: Article
Language:English
Published: Czech Academy of Sciences 2022
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Online Access:http://eprints.utm.my/id/eprint/100568/1/MohdAkhmal2022_IdentifyingFaultSystemandBasementDepthusingAeromagneticData.pdf
http://eprints.utm.my/id/eprint/100568/
http://dx.doi.org/10.13168/AGG.2022.0005
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.1005682023-04-17T07:07:07Z http://eprints.utm.my/id/eprint/100568/ Identifying fault system and basement depth using aeromagnetic data beneath the Jahamah Platform, NE Sirt basin, Libya Kahoul, Sufian Sidek, Akhmal Eshanibli, Abdelhakim Trepil, Fouzie Jaafar, Mohd. Zaidi Hassan, Moamen Ghanoush, Hussin Dugdug, Lutfi TP Chemical technology The Jahamah Platform is a part of a structural depression called the Sirt basin, located in the northern central part of Libya. The Jahamah Platform spans latitude 29.95° N to 30.55° N and longitudes 19.32° E to 19.77° E with an estimated area of about 2,187 km2. Libyan Petroleum Institute provided the data of aeromagnetic that was used in this study. The data was used to study the structure beneath the Jahamah Platform by using Oasis montaj software. Various filters from the software have been applied to enhance determining the fault system within the study area. An RTP filter was applied to the magnetic data to construct a reduction to the pole anomaly map. The subsurface structural elements underneath the study area were identified using Total horizontal derivative (THD), CET analysis, and Euler deconvolution. 2-D forward modelling of the area was constructed based on gravity data, and then the basement depth was estimated to range from 2.2 km to 3.1 km based on the model. Based on the interpretation of the constructed maps, the area has a number of faults that trend in NE-SW, NNW-SSE, N-S and NW-SE and faults depth ranging between 790 m to 3102 m. Czech Academy of Sciences 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/100568/1/MohdAkhmal2022_IdentifyingFaultSystemandBasementDepthusingAeromagneticData.pdf Kahoul, Sufian and Sidek, Akhmal and Eshanibli, Abdelhakim and Trepil, Fouzie and Jaafar, Mohd. Zaidi and Hassan, Moamen and Ghanoush, Hussin and Dugdug, Lutfi (2022) Identifying fault system and basement depth using aeromagnetic data beneath the Jahamah Platform, NE Sirt basin, Libya. Acta Geodynamica et Geomaterialia, 19 (2). pp. 155-166. ISSN 1214-9705 http://dx.doi.org/10.13168/AGG.2022.0005 DOI : 10.13168/AGG.2022.0005
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Kahoul, Sufian
Sidek, Akhmal
Eshanibli, Abdelhakim
Trepil, Fouzie
Jaafar, Mohd. Zaidi
Hassan, Moamen
Ghanoush, Hussin
Dugdug, Lutfi
Identifying fault system and basement depth using aeromagnetic data beneath the Jahamah Platform, NE Sirt basin, Libya
description The Jahamah Platform is a part of a structural depression called the Sirt basin, located in the northern central part of Libya. The Jahamah Platform spans latitude 29.95° N to 30.55° N and longitudes 19.32° E to 19.77° E with an estimated area of about 2,187 km2. Libyan Petroleum Institute provided the data of aeromagnetic that was used in this study. The data was used to study the structure beneath the Jahamah Platform by using Oasis montaj software. Various filters from the software have been applied to enhance determining the fault system within the study area. An RTP filter was applied to the magnetic data to construct a reduction to the pole anomaly map. The subsurface structural elements underneath the study area were identified using Total horizontal derivative (THD), CET analysis, and Euler deconvolution. 2-D forward modelling of the area was constructed based on gravity data, and then the basement depth was estimated to range from 2.2 km to 3.1 km based on the model. Based on the interpretation of the constructed maps, the area has a number of faults that trend in NE-SW, NNW-SSE, N-S and NW-SE and faults depth ranging between 790 m to 3102 m.
format Article
author Kahoul, Sufian
Sidek, Akhmal
Eshanibli, Abdelhakim
Trepil, Fouzie
Jaafar, Mohd. Zaidi
Hassan, Moamen
Ghanoush, Hussin
Dugdug, Lutfi
author_facet Kahoul, Sufian
Sidek, Akhmal
Eshanibli, Abdelhakim
Trepil, Fouzie
Jaafar, Mohd. Zaidi
Hassan, Moamen
Ghanoush, Hussin
Dugdug, Lutfi
author_sort Kahoul, Sufian
title Identifying fault system and basement depth using aeromagnetic data beneath the Jahamah Platform, NE Sirt basin, Libya
title_short Identifying fault system and basement depth using aeromagnetic data beneath the Jahamah Platform, NE Sirt basin, Libya
title_full Identifying fault system and basement depth using aeromagnetic data beneath the Jahamah Platform, NE Sirt basin, Libya
title_fullStr Identifying fault system and basement depth using aeromagnetic data beneath the Jahamah Platform, NE Sirt basin, Libya
title_full_unstemmed Identifying fault system and basement depth using aeromagnetic data beneath the Jahamah Platform, NE Sirt basin, Libya
title_sort identifying fault system and basement depth using aeromagnetic data beneath the jahamah platform, ne sirt basin, libya
publisher Czech Academy of Sciences
publishDate 2022
url http://eprints.utm.my/id/eprint/100568/1/MohdAkhmal2022_IdentifyingFaultSystemandBasementDepthusingAeromagneticData.pdf
http://eprints.utm.my/id/eprint/100568/
http://dx.doi.org/10.13168/AGG.2022.0005
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