2D ELECTRICAL RESISTIVITY IMAGING OF MINE WORKINGS AT ODAGBO, NORTH CENTRAL NIGERIA

Eugene Anibe Idogbe, Aminu Lawal Ahmad, Kolawole Muideen Lawal, Babangida Mohammed Ahmed, Muhammad Muhammad Isah

Abstract


A Coal mining site at Odagbo in north central Nigeria was investigated to detect possible hidden subsurface voids created due to mining activities and to further suggest areas prone to subsidence. Electrical resistivity imaging (ERI) is a technique that has proven effective in detecting and mapping hidden mine workings. It is based on conceptual resistivity model that explores resistivity contrast between the subsurface voids and surrounding host materials and also characterizes the voids with higher or lower resistivity as either empty or in-filled voids than the host. The survey was carried out with Terrameter SAS 4000 and ES 464 electrode selector equipment adopting dipole-dipole electrode configuration at electrode spacing of 5 m to acquire data along three parallel profiles laid at equal interval 40 m in the study area. The acquired datas were processed and inverted with RES2DINV algorithm software. From the results, it shows air-filled cavities are found in the top-layers of each profile (at about a depth of 0-12 m) with resistivity values ranging from 1216 Ωm - 4016 Ωm and water-filled cavities are at much deeper depth, with resistivity values ranging from 4 Ωm -130 Ωm. The study shows that the voids trends in NW-SE direction with depth increasing in dimension, and that voids may overtime grow large enough to cause a subsidence.


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References


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