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Improved Subsurface Exploration of Gongola basin, Nigeria Determined from Source Parameter Imaging of Gravity and Aeromagnetic Anomalies via Statistical Error Analysis

Bagare, A. A. Salisu Aliyu Bagare

Subject area: Science,Engineering and Technology  ·  Area of research: Geophysics

DOI: 10.64388/IREV9I11-1718147

Abstract

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.

Keywords

Gongola, Gravity, Aeromagnetic, SPI, Error.

References

[1] Abubakar, Y., Umegu, M., & Ojo, S. (2010). Evolution of Gongola Basin Upper Benue Trough Northeastern Nigeria. . . Asian J. Earth Sci., 3(2), 62–67. www.academicjournals.com

[2] Adewumi, T., Salako, K., Salami, M., Mohammed, M., & Udensi, E. (2017). Estimation of Sedimentary Thickness Using Spectral Analysis of Aeromagnetic Data over Part of Bornu Basin, Northeast, Nigeria. Asian Journal of Physical and Chemical Sciences, 2(1), 1–8. https://doi.org/10.9734/ajopacs/2017/32302

[3] Anthony, E. A., Likkason, O. K., Maigari, A. S., Ali, S., & Abubakar, A. (2023). Subsurface Structural Characterization as Deduced from High-Resolution Aeromagnetic Data over The Confluence Zones in Central, Nigeria. Indonesian Journal of Earth Sciences, 3(1), 1–20. https://doi.org/10.52562/injoes.2023.600

[4] Bassey, N. E., Barka, J., & Musa, H. (2017). Hydrocarbon Prospect of Nigeria’s Gongola Basin Based on Gravity Data Interpretation. IOSR Journal of Applied Geology and Geophysics, 05(02), 68–77. https://doi.org/10.9790/0990-0502016877

[5] Ibe, A. O., Terhemba, T. E., & Alexander, I. O. (2022). Basement depth re-valuation of anomalous magnetic bodies in the lower and middle Benue trough using Euler deconvolution and spectral inversion techniques. World Journal of Advanced Research and Reviews, 14(2), 129–145. https://doi.org/10.30574/wjarr.2022.14.2.0356

[6] Ngozi, A. O., Johnson, U. A., & Igwe, E. A. (2019). Spectral analysis and source parameter imaging of aeromagnetic data of Lafia and Akiri Areas, Middle Benue Trough, Nigeria. International Journal of Physical Sciences, 14(1), 1–14. https://doi.org/10.5897/ijps2018.4752

[7] Nwobodo, A. N., Chima, A. I., Anih, J. O., & Onyia. (2018). DETERMINATION OF DEPTH TO BASEMENT OF KALTUNGO AND GUYOK AREA USING HIGH RESOLUTION AIRBORNE GRAVITY DATA. International Journal of Scientific & Engineering Research, 9(11), 1405–1417. http://www.ijser.org

[8] Nwogwugwu, E. O., Salako, K. A., Adewumi, T., & Okwokwo, I. O. (2017). Determination of depth to basement rocks over parts of Middle Benue Trough, North Central Nigeria, using high resolution aeromagnetic data. Journal of Geology and Mining Research, 9(3), 18–27. https://doi.org/10.5897/jgmr2017.0276

[9] Odidi IG, Mallam A, & Nasir N. (2020). DEPTH TO MAGNETIC SOURCES DETERMINATION USING SOURCE PARAMETER IMAGING (SPI) OF AEROMAGNETIC DATA OF PARTS OF CENTRAL AND NORTH-EASTERN NIGERIA: A RECONNAISSANCE TOOL FOR GEOTHERMAL EXPLORATION IN THE AREA. Science World Journal, 15(3), 19–23. https://doi.org/10.47514/swj/15.03.2020.003

[10] Oghuma, A. A., & Obiadi, I. I. (2015). 2-D Spectral Analysis of Aeromagnetic Anomalies over Parts of Monguno and Environs, Northeastern Nigeria. Journal of Earth Science & Climatic Change, 06(08). https://doi.org/10.4172/2157-7617.1000303

[11] Ogunmola, J. K., Ayolabi, E. A., & Olobaniyi, S. B. (2016). Structural-depth analysis of the Yola Arm of the Upper Benue Trough of Nigeria using high resolution aeromagnetic data. Journal of African Earth Sciences, 124, 32–43. https://doi.org/10.1016/j.jafrearsci.2016.09.008

[12] Olakunle, O., & Abdulmumin, Y. (2019). Journal of African Earth Sciences Basement configuration and lineaments mapping from aeromagnetic data of Gongola arm of Upper Benue Trough, northeastern Nigeria. Journal of African Earth Sciences, 160, 1–13. https://doi.org/10.1016/j.jafrearsci.2019.103597

[13] Salako, K. A. (2014). Depth to Basement Determination Using Source Parameter Imaging (SPI) of Aeromagnetic Data : An Application to Upper Benue Trough and Borno Basin, Northeast, Nigeria. Academic Research International, 5(3), 74–86.

[14] Salako, K., & Udensi, E. (2015). Two dimentional modeling of subsurface structure over upper Benue trough and Bornu basin in North eastern Nigeria. Nigerian Journal of Technological Research, 10(1), 94. https://doi.org/10.4314/njtr.v10i1.s11

[15] Shemang, E. M., Jacoby, W. R., & Ajayi, C. O. (2005). Gravity Anomalies Over the Gongola Arm, Upper Benue Trough, Nigeria. Global Journal of Geological Sciences, 3(1), 61–69.

[16] Spector, A., & Grant, F. S. (1970). STATISTICAL MODELS FOR INTERPRETING AEROMAGNETIC DATA. GEOPHYSICS, 35(2), 293–302. http://library.seg.org/

[17] Ugwu, C. M., Ugwu, G. Z., & Alasi, T. K. (2018). Spectral analysis and source parameter imaging of aeromagnetic anomaly over Ogoja and Bansara areas of lower Benue trough, Nigeria. Journal of Geology and Mining Research, 10(3), 28–38. https://doi.org/10.5897/jgmr2017.0280

How to cite this paper

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
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, vol. 9, no. 11, May. 2026, doi: https://doi.org/10.64388/IREV9I11-1718147
Bagare, A. A., Salisu Aliyu Bagare (2026). 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). doi: https://doi.org/10.64388/IREV9I11-1718147
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, vol. 9, no. 11, May. 2026. Crossref, https://doi.org/10.64388/IREV9I11-1718147
@article{1718147,
      author = {Bagare, A. A., Salisu Aliyu Bagare},
      title = {Improved Subsurface Exploration of Gongola basin, Nigeria Determined from Source Parameter Imaging of Gravity and Aeromagnetic Anomalies via Statistical Error Analysis},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {11},
      pages = {4108-4114},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1718147.pdf},
      abstract = {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.},
      keywords = {Gongola, Gravity, Aeromagnetic, SPI, Error.},
      month = {May},
      doi = {https://doi.org/10.64388/IREV9I11-1718147}
  }