Title page — – – – – – – – – – – i
Declaration — – – – – – – – – – -ii
Approval page — – – – – – – – – – -iii
Dedication — – – – – – – – – – -iv
Acknowledgement — – – – – – – – – -v
Table of content — – – – – – – – – -vi Abstract — – – – – – – – – – – -vii
Four sheets of aeromagnetic data, which are the aeromagnetic map of Nsukka, Udi, Nkalagu, and Igunmale were obtained from the Nigerian Geological Survey Agency, these areas are within the Lower Benue trough and Anambra Basin, Southeast of Nigeria. Oasis Montaj 6.4.2, ArcGIS 10.2.2, Surfer 11, and Excel 2016 software, were used in the processing and interpretation of the aeromagnetic data obtained qualitatively and quantitatively. The results of the qualitative interpretation on application of Reduction to Equator (RTE) and analytical signal revealed the faults within the study area identified by the ripple like effects, sharpened boundaries, and gave simple shapes of the bodies responsible for the magnetic anomalies. The quantitative interpretation employing analytical depth and SPI depth, revealed depth ranges between 182.2 and 7800.5, 188.3 and 8068.3 respectively. Spectral depth estimates for the deep sources ranged from 0.83 to 6.17km with an average depth of 3.68km, while the shallow sources range in depth within 0.393 and 0.544km with an average depth of 0.465km. The contour map showing locations as well and depth map of the deeper sources revealed areas and their depths. These depth are relevant in that they are the depths to the magnetic basement, and are useful in exploration of water resources, minerals and hydrocarbon depending on the depth range been sort.
📚 Over 50,000 Research Thesis
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Thesis-to-Journal Publication
🎓 Undergraduate/Postgraduate Thesis
📥 Instant Whatsapp/Email Delivery
The project titled "Seismic Imaging of Subsurface Structures for Hydrocarbon Exploration using Advanced Processing Techniques" aims to investigate and...
The project titled "Application of Machine Learning Algorithms for Seismic Data Analysis in Geophysics" focuses on leveraging advanced machine learnin...
The project titled "Application of Machine Learning Algorithms in Seismic Data Analysis for Reservoir Characterization" aims to explore the integratio...
The research project titled "Seismic Imaging and Characterization of Subsurface Fractures in Unconventional Reservoirs" aims to address the significan...
The project titled "Analysis of Ground Penetrating Radar (GPR) data for mapping subsurface features" aims to explore the potential of Ground Penetrati...
The project titled "Analysis of seismic data for reservoir characterization in an oil field" aims to investigate and analyze the seismic data collecte...
The project titled "Application of Machine Learning Algorithms in Seismic Data Analysis for Subsurface Characterization" aims to explore the integrati...
The project titled "Analysis of Seismic Data for Subsurface Characterization in a Tectonically Active Region" aims to investigate the use of seismic d...
The project titled "Application of Seismic Tomography for Subsurface Imaging and Characterization" focuses on the utilization of seismic tomography as...