Interpretation of Magnetic Anomalies by Simple Geometrical Structures Using the Manta-Ray Foraging Optimization
In this paper, a geophysical strategy based on the recently proposed Manta-Ray Foraging (MRF) Optimization algorithm is adapted and presented for the blind computation of depth/shape defining parameters from magnetic anomalies due to buried geo-bodies. The model parameters deciphered are the coeffic...
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| Format: | Article |
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Frontiers Media S.A.
2022-03-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2022.849079/full |
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| author | Ubong C. Ben Stephen E. Ekwok Anthony E. Akpan Charles C. Mbonu Ahmed M. Eldosouky Kamal Abdelrahman David Gómez-Ortiz |
| author_facet | Ubong C. Ben Stephen E. Ekwok Anthony E. Akpan Charles C. Mbonu Ahmed M. Eldosouky Kamal Abdelrahman David Gómez-Ortiz |
| author_sort | Ubong C. Ben |
| collection | DOAJ |
| description | In this paper, a geophysical strategy based on the recently proposed Manta-Ray Foraging (MRF) Optimization algorithm is adapted and presented for the blind computation of depth/shape defining parameters from magnetic anomalies due to buried geo-bodies. The model parameters deciphered are the coefficient of amplitude (K), buried structure’s origin (x0), the depth (z), magnetization angle (α), and a shape factor (q). After detailed and piecewise design, the new inversion tool is originally trial-tested on anomaly data generated synthetically. The uncorrupted version of the test data is first analyzed, then - it is corrupted with noise varied at 5, 10, 15, and 20% corruption levels. Thereafter, it is experimented with magnetic profiles taken from exploration fields in the United States, Peru, and Egypt. From the evaluation of results obtained, the new procedure is observed as exhibiting outstanding stability and flexibility especially with noisy dataset and notable efficiency in the quantitative resolution of magnetic inversion problems. The results obtained for the field cases are also mostly consistent especially when compared with background results from similar studies conducted with other methods; further affirming the new tool as reliable for the geophysical investigation of buried minerals. |
| first_indexed | 2024-04-12T22:51:38Z |
| format | Article |
| id | doaj.art-c1a35121911c4e339d942312ceabc2ea |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-04-12T22:51:38Z |
| publishDate | 2022-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-c1a35121911c4e339d942312ceabc2ea2022-12-22T03:13:19ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632022-03-011010.3389/feart.2022.849079849079Interpretation of Magnetic Anomalies by Simple Geometrical Structures Using the Manta-Ray Foraging OptimizationUbong C. Ben0Stephen E. Ekwok1Anthony E. Akpan2Charles C. Mbonu3Ahmed M. Eldosouky4Kamal Abdelrahman5David Gómez-Ortiz6Department of Geophysics, University of Calabar, Calabar, NigeriaDepartment of Geophysics, University of Calabar, Calabar, NigeriaDepartment of Geophysics, University of Calabar, Calabar, NigeriaDepartment of Physics, University of Uyo, Uyo, NigeriaGeology Department, Faculty of Science, Suez University, Suez, EgyptDepartment of Geology and Geophysics, College of Science, King Saud University, Riyadh, Saudi ArabiaDepartment of Biology and Geology, Physics and Inorganic Chemistry, ESCET, Universidad Rey Juan Carlos, Móstoles, SpainIn this paper, a geophysical strategy based on the recently proposed Manta-Ray Foraging (MRF) Optimization algorithm is adapted and presented for the blind computation of depth/shape defining parameters from magnetic anomalies due to buried geo-bodies. The model parameters deciphered are the coefficient of amplitude (K), buried structure’s origin (x0), the depth (z), magnetization angle (α), and a shape factor (q). After detailed and piecewise design, the new inversion tool is originally trial-tested on anomaly data generated synthetically. The uncorrupted version of the test data is first analyzed, then - it is corrupted with noise varied at 5, 10, 15, and 20% corruption levels. Thereafter, it is experimented with magnetic profiles taken from exploration fields in the United States, Peru, and Egypt. From the evaluation of results obtained, the new procedure is observed as exhibiting outstanding stability and flexibility especially with noisy dataset and notable efficiency in the quantitative resolution of magnetic inversion problems. The results obtained for the field cases are also mostly consistent especially when compared with background results from similar studies conducted with other methods; further affirming the new tool as reliable for the geophysical investigation of buried minerals.https://www.frontiersin.org/articles/10.3389/feart.2022.849079/fullshapesanomalyoptimizationmanta ray mineralsinterpretationmagnetics |
| spellingShingle | Ubong C. Ben Stephen E. Ekwok Anthony E. Akpan Charles C. Mbonu Ahmed M. Eldosouky Kamal Abdelrahman David Gómez-Ortiz Interpretation of Magnetic Anomalies by Simple Geometrical Structures Using the Manta-Ray Foraging Optimization Frontiers in Earth Science shapes anomaly optimization manta ray minerals interpretation magnetics |
| title | Interpretation of Magnetic Anomalies by Simple Geometrical Structures Using the Manta-Ray Foraging Optimization |
| title_full | Interpretation of Magnetic Anomalies by Simple Geometrical Structures Using the Manta-Ray Foraging Optimization |
| title_fullStr | Interpretation of Magnetic Anomalies by Simple Geometrical Structures Using the Manta-Ray Foraging Optimization |
| title_full_unstemmed | Interpretation of Magnetic Anomalies by Simple Geometrical Structures Using the Manta-Ray Foraging Optimization |
| title_short | Interpretation of Magnetic Anomalies by Simple Geometrical Structures Using the Manta-Ray Foraging Optimization |
| title_sort | interpretation of magnetic anomalies by simple geometrical structures using the manta ray foraging optimization |
| topic | shapes anomaly optimization manta ray minerals interpretation magnetics |
| url | https://www.frontiersin.org/articles/10.3389/feart.2022.849079/full |
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