Current Volume 9
This research focuses on the potential of Gongola arm of the Upper Benue Trough in northeastern Nigeria, which falls between longitude 10° 00′ E to 12° 00′ E and latitude 9° 30′ N to 11° 30′ N. The potential of the Gongola basin comprises natural resources, with geothermal energy and hydrocarbon (oil and gas) being the main areas of concentration. The research discerns and characterizes zones of thick sedimentary overburden from those of uplifted or shallow basements to infer potential for oil/gas and mineral deposit accumulations. This was achieved by unveiling depths to magnetic sources reinforced with gravity sources as determined by Source Parameter Imaging (SPI) techniques. The result of the two adopted methods for SPI were in very close agreement with each other having a depth to deep sources of 9826 m and 8913 m), intermediate sources (5779 m and 4599 m) and shallow sources (below 1798 m and 1772 m). The normalized error ranges from 0.2 to 0.99 for the SPI. Depth above 4000 m were recommended for further oil and gas investigations while sources closer to the ground were recommended for mineral investigation. Therefore, this research provides precise information on the depth configuration of Gongola basin that might yield mineral oil or gas. It also serves as a guide to other researchers to build a confident interpretation of the subsurface through complementing methods.
Gongola, Gravity, Aeromagnetic, SPI, Error.
IRE Journals:
Bagare, A. A., Salisu Aliyu Bagare "Improved Subsurface Exploration of Gongola basin, Nigeria Determined from Source Parameter Imaging of Gravity and Aeromagnetic Anomalies via Statistical Error Analysis" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 4108-4114 https://doi.org/10.64388/IREV9I11-1718147
IEEE:
Bagare, A. A., Salisu Aliyu Bagare
"Improved Subsurface Exploration of Gongola basin, Nigeria Determined from Source Parameter Imaging of Gravity and Aeromagnetic Anomalies via Statistical Error Analysis" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1718147