Optimization of array configurations and panel combinations for the detection and imaging of abandoned mineshafts using 3D cross-hole electrical resistivity tomography

Wilkinson, Paul B.; Chambers, Jonathan E.; Meldrum, Philip I.; Ogilvy, Richard D.; Caunt, Simon. 2006 Optimization of array configurations and panel combinations for the detection and imaging of abandoned mineshafts using 3D cross-hole electrical resistivity tomography. Journal of Environmental and Engineering Geophysics, 11 (3). 213-221. 10.2113/JEEG11.3.213

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Official URL: http://jeeg.geoscienceworld.org/content/11/3.toc

Abstract/Summary

Cross-borehole electrical resistivity tomography was used to detect and image a concealed air-filled mineshaft at a greenfield test site. The measurement configurations and panel combinations were selected using a two-stage optimization process. An optimal set of array configurations was selected for each cross-borehole panel on the basis of the model resolution matrix. Subsequently, various combinations of panels were tested with synthetic and field data to determine the effects of coverage and data density on the resulting tomographic image. In the field trials, complicating factors were introduced by the use of resistive cement linings in the boreholes. A resistive feature was detected between the boreholes using a single panel and a 2.5D inversion, but the image quality was too poor to identify this as a mineshaft. A much-improved image was obtained using eight boreholes and eight panels with a full 3D inversion. Only four of these panels intersected the shaft. Crucially, the other panels provided coverage of outlying regions of the model, enabling the inversion algorithm to distinguish between the resistive effects of the borehole linings and the mineshaft.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.2113/JEEG11.3.213
Programmes:	BGS Programmes > Electrical Tomography
ISSN:	1083-1363
NORA Subject Terms:	Earth Sciences
Date made live:	18 Sep 2012 10:07 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/19602

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.2113/JEEG11.3.213

Programmes:

BGS Programmes > Electrical Tomography

ISSN:

1083-1363

NORA Subject Terms:

Earth Sciences

Date made live:

18 Sep 2012 10:07 +0 (UTC)