A cost-effective and non-intrusive aeromagnetic geophysical technique was utilized to reduce exploration uncertainty in the Chad Basin, which is believed to have significant hydrocarbon potential despite limited exploration due to its remote and challenging terrain. By analyzing various derivatives and magnetic attributes extracted from filtered and enhanced aeromagnetic data, the study aimed to highlight potential areas for hydrocarbon generation and preservation, allowing for more focused and detailed geophysical exploration efforts. This study produced several key maps, including a total magnetic intensity map (ranging from -168.7 to 224.8 nT), a reduction to equator map (ranging from -156.8 to 207.9 nT), and depth analysis, which helped delineate the structural framework and sedimentary thicknesses within the basin. Quantitative interpretation of these maps, along with the analytic depth map (ranging from 22.1 to 5649.3 m), tilt depth map (ranging from -76.50 to 80.40), and first and second vertical derivatives maps (ranging from -0.097 to 0.086 nT/m and -0.000240 to 0.000236 nT/m, respectively), was employed to detect geological features and thick sedimentary fills sufficient to create or trap hydrocarbons. Depth estimates indicate that the shallow sources range between 22 and 230 m, while deeper sources fall between 2747 and 6000 m, suggesting sufficient sedimentary fill for hydrocarbon generation. The basin is characterized by large sedimentary deposits that are bounded by structural features such as folds, faults, and fractures. The northern part of the basin, trending towards the northwest, eastern edge, and parts of the south, showed active structural features, including anticlines, synclines, and fractures, which are essential for petroleum trapping. These findings, coupled with the identified thicknesses and favorable structural disposition, suggest that the Chad Basin holds high potential for hydrocarbon accumulation, making it a prospective region for further exploration with more detailed geophysical methods.
Read full abstract