Interpretation of Resistivity Subsurface Models in Isele-Mkpiteme


  • Oghonyon Rorome Lecturer, Department of Geology, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria
  • Udu Kenneth Geosciencist, Al-Kedz Global Services Ltd., Port Harcourt, Rivers State, Nigeria
  • Adeniran Adedoyin Ayinde Geosciencist, Port Harcourt, Rivers State, Nigeria
  • Ukwuteyijor Eneojo Department of Geology, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria



Electrical Resistivity (ER), Freshwater aquifers, Depth interpretation, Permeability interpretation, High resistivity data, Isele-Mkpiteme, Nigeria, Mobile app integration, Resistivity contour maps, 3D resistivity models, Borehole drilling


Electrical resistivity (ER) surveys are a valuable tool for identifying freshwater aquifers. This study demonstrates the application of ER data for depth and permeability interpretation in Isele-Mkpiteme, Delta State, Nigeria. The investigation aimed to locate suitable zones for drilling boreholes to access clean drinking water. High-resolution ER measurements were conducted using an ADMT series instrument with mobile app integration for efficient data acquisition and processing. The analysis of resistivity contour maps and 3D models revealed zones with high resistivity values, indicative of freshwater-bearing formations. These zones were further interpreted to estimate aquifer depths ranging from 50 to 120 meters. The correlation between resistivity values and soil types was established, with high resistivity corresponding to medium to coarse sand – characteristics typically associated with good permeability and potential for significant freshwater flow. This approach allowed for the identification of not only the depth of potential freshwater aquifers but also their suitability for sustained water extraction. The findings of this study highlight the effectiveness of ER surveys in conjunction with resistivity-permeability relationships for freshwater exploration. This non-destructive technique provides valuable data for targeted borehole drilling, optimizing the success rate of accessing clean drinking water resources in Isele-Mkpiteme.


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How to Cite

O. Rorome, U. Kenneth, A. A. Ayinde, and U. Eneojo, “Interpretation of Resistivity Subsurface Models in Isele-Mkpiteme”, IJRESM, vol. 7, no. 6, pp. 63–68, Jun. 2024, doi: 10.5281/zenodo.11657580.