Articles | Volume 8, issue 3
https://doi.org/10.5194/se-8-637-2017
https://doi.org/10.5194/se-8-637-2017
Research article
 | 
22 May 2017
Research article |  | 22 May 2017

Correcting for static shift of magnetotelluric data with airborne electromagnetic measurements: a case study from Rathlin Basin, Northern Ireland

Robert Delhaye, Volker Rath, Alan G. Jones, Mark R. Muller, and Derek Reay

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Cited articles

Archie, G. E.: Electrical Resistivity an Aid in Core-Analysis Interpretation, AAPG Bulletin, 31, 350–366, https://doi.org/10.1306/3d93395c-16b1-11d7-8645000102c1865d, 1947.
Auken, E., Vest Christiansen, A., Kirkegaard, C., Fiandaca, G., Schamper, C., Behroozmand, A. A., Binley, A., Nielsen, E., Effersø, F., Christensen, N. B., Sørensen, K., Foged, N., and Vignoli, G.: An overview of a highly versatile forward and stable inverse algorithm for airborne, ground-based and borehole electromagnetic and electric data, Explor. Geophys., 46, 223–235, https://doi.org/10.1071/EG13097, 2014.
Avdeeva, A., Moorkamp, M., Avdeev, D., Jegen, M., and Miensopust, M.: Three-dimensional inversion of magnetotelluric impedance tensor data and full distortion matrix, Geophys. J. Int., 202, 464–481, https://doi.org/10.1093/gji/ggv144, 2015.
Beamish, D.: The bedrock electrical conductivity structure of Northern Ireland, Geophys. J. Int., 194, 683–699, https://doi.org/10.1093/gji/ggt073, 2013.
Beamish, D., Cuss, R. J., Lahti, M., Scheib, C., and Tartaras, E.: The Tellus Airborne Geophysical Survey of Northern Ireland: Final Processing Report, Internal Report IR/06/136, British Geological Survey, Nottingham, UK, 2006.
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Short summary
We have modelled airborne electromagnetic data in order to correct bias in magnetotelluric data caused by very near-surface resistivity variations. Doing so recovers structures that match boreholes in the area more closely. This research is part of an exploration project looking at geothermal resources, and improved accuracy in modelling translates directly to more confidence in resources assessments.