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Aeromagnetic Data Interpretation and Source Body Evaluation using Standard Euler Deconvolution Technique in Obudu area, Southeastern Nigeria.

Authors :
Agoha, C. C.
Onwubuariri, C. N.
Mgbeojedo, T. I.
Amasike, U. C.
Agbakwuru, C. B.
Njoku, J. O.
Akaolisa, C. C. Z.
Omenikolo, I. A.
Ofoh, I. J.
Source :
Petroleum & Coal. 2023, Vol. 65 Issue 4, p1033-1041. 9p.
Publication Year :
2023

Abstract

In order to interpret the airborne magnetic data and to evaluate the approximate location, depth, and geometry of the magnetic sources within Obudu area using standard Euler deconvolution method, high resolution aeromagnetic data over the area was processed digitally and analyzed using Oasis Montaj 8.5 software. Data analysis and enhancement techniques including reduction to equator, horizontal derivative, first and second vertical derivatives, upward continuation and regional-residual separation were carried out. Standard Euler deconvolution for structural indices of 0, 1, 2, and 3 were obtained. Results show that the total magnetic intensity ranges from -122.9nT to 147.0nT, regional intensity varies between -106.9nT to 137.0nT, while residual intensity ranges between -51.5nT to 44.9nT indicating the masking effect of deep-seated structures over surface and shallow subsurface materials. Results also show that the positive residual anomalies have a NE-SW orientation which coincides with the trend of major geologic structures in the area. Euler deconvolution for all the structural indices has depth to magnetic sources ranging from <0m to >2000m. Interpretation of the various structural indices revealed the locations and depths of the source bodies and the existence of geologic models including sills, dykes, pipes, and spherical structures. This area is characterized by shallow basement materials and represents a good prospect for solid mineral exploration. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13353055
Volume :
65
Issue :
4
Database :
Academic Search Index
Journal :
Petroleum & Coal
Publication Type :
Academic Journal
Accession number :
174590369