Geophysical exploration of titanomagnetite ore deposits by geomagnetic and geoelectric methods

Geophysical techniques, such as magnetic and geoelectric ones, are useful for ore deposit exploration, represented by titanomagnetite. Titanomagnetite is a mineral composed of oxides of titanium and iron. Forty-seven magnetic profiles have been measured using two proton magnetometers to cover the st...

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Veröffentlicht in:SN applied sciences 2020-03, Vol.2 (3), p.444, Article 444
Hauptverfasser: Mousa, Salah Abdel Wahab, Abdel Nabi, Sami Hamed, Araffa, Sultan Awad Sultan, Mansour, Salah Ahmed, Al Deep, Mohamed AbdElsabour Ibrahim
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Sprache:eng
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Zusammenfassung:Geophysical techniques, such as magnetic and geoelectric ones, are useful for ore deposit exploration, represented by titanomagnetite. Titanomagnetite is a mineral composed of oxides of titanium and iron. Forty-seven magnetic profiles have been measured using two proton magnetometers to cover the study area with a direction perpendicular to the ore outcrops. The qualitative interpretation of magnetic data indicates elongated highly magnetized anomalies extending northeast to southwest. The quantitative interpretation of magnetic data was carried out using 2D magnetic inversion. The results of the magnetic interpretation indicated ore deposits at < 10 m depth in the area with highly magnetic anomalies, and the magnetic anomalies related to the titanomagnetite ore bodies have a tabular form with thickness ranging from 7 to 100 m. Seven vertical electrical soundings were carried out along selected sites according to the geologic map and field observation for the geologic features of the ore bodies in the study area. The results of resistivity inversions indicated that there are many conductive bodies, which have resistivity values < 100 Ω m. Three electric resistivity tomography lines are made trending east-west perpendicular to the direction of exposed ore in the area. The profiles were processed using the finite element algorithm available in the Res2dinv program, and the generated models delineate the shape and orientation of the supposed ore.
ISSN:2523-3963
2523-3971
DOI:10.1007/s42452-020-2206-5