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Amadu, C. C. Foli, G. and Abanyie, S. (2017). Rock Fracture Characterization for Solid Waste Disposal Site Selection: A Case from Sites in the Accra-Tema Area, SE Ghana. World Journal of Environmental Engineering, Vol. 5, No. 1, 7-16.

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Article

Experimental Study of Electrical Resistivity to Rock Fracture Intensity and Aperture Size

1Earth and Environmental Sciences Department, University for Development Studies (UDS), P. O. Box 20, Navrongo, Ghana

2Department of Geological Engineering, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana


International Journal of Physics. 2018, Vol. 6 No. 3, 85-92
DOI: 10.12691/ijp-6-3-4
Copyright © 2018 Science and Education Publishing

Cite this paper:
Amadu Casmed Charles, Gawu Simon K.Y, Abanyie K. Samuel. Experimental Study of Electrical Resistivity to Rock Fracture Intensity and Aperture Size. International Journal of Physics. 2018; 6(3):85-92. doi: 10.12691/ijp-6-3-4.

Correspondence to: Amadu  Casmed Charles, Earth and Environmental Sciences Department, University for Development Studies (UDS), P. O. Box 20, Navrongo, Ghana. Email: camadu@uds.edu.gh

Abstract

Fracture geometric characteristics (FGC) such as fracture intensity, fracture network connectivity and aperture distribution are crucial features controlling the hydraulic and geotechnical properties of rock formations. Geophysical methods have been used to detect contrast in subsurface material. The Electrical Resistivity (ER) method is one of such methods. The method was applied in an experimental test to investigate ER response with varying fracture intensity If and aperture size Aper width in an experimental set-up at Kwame Nkrumah University of Science and Technology (KNUST, Kumasi, Ghana, geotechnical laboratory. The concepts of electrical resistivity variation with rock mass fracture intensity, and aperture were used to obtained experimental data. ER profiles, each measuring 0.9 m long were recorded using 4 electrodes deployed using the Dipole-dipole, Wenner and Schlumberger configurations from the experimental setup. To quantify the relationship between apparent resistivity and fracture intensity, scatter-plots were drawn with apparent resistivity as the abscissa and fracture intensity as well as aperture width as ordinate. There were strong positive linear and regressive correlations between ¦Ña and fracture intensity. Mathematical relationships are established that relate the ER and fracture intensity, and ER with aperture width. The highest coefficient of determination R2 of 0.924 was represented for best fit equation, for relationship between apparent resistivity and fracture intensity. For aperture width, the best fit model was given a logarithmic relation as ¦Ña =-465.46(Aperture width)2 +4880.5(Aperture width)+1295.5. The study demonstrates the potential usefulness of the ER approach in rock fracture characterisation investigations, which is economic, efficient and less time consuming compared to other methods, of subsurface fracture characterization such core drilling.

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