Geostatistical analysis of the relationship between airborne electromagnetic data and borehole lithological data

Adrian A.S. Barfod; Ingelise Møller; Anders V. Christiansen

doi:10.1071/ASEG2015ab238

24th International Geophysical Conference and Exhibition – Geophysics and Geology Together for Discovery

ISSN: 2202-0586
E-ISSN:

oa Geostatistical analysis of the relationship between airborne electromagnetic data and borehole lithological data
Authors Adrian A.S. Barfod^a, Ingelise Møller^b and Anders V. Christiansen^c
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^a GEUS and Aarhus University, Lyseng Alle 1 8270, Højbjerg, [email protected] ^b GEUS Lyseng Alle 1 8270, Højbjerg, [email protected] ^c The HydroGeophysics Group, Aarhus University, Building 1110, C.F. Møllers Alle 4 8000, Aarhus C, [email protected]
Publisher: Australian Society of Exploration Geophysicists
Source: ASEG Extended Abstracts, Volume 2015, Issue 24th International Geophysical Conference and Exhibition – Geophysics and Geology Together for Discovery, Dec 2015, p. 1 - 4
DOI: https://doi.org/10.1071/ASEG2015ab238
- Published online: 01 Dec 2015

Abstract

We present a large-scale study of the relationship between dense airborne SkyTEM resistivity data and sparse lithological borehole data.

Airborne electromagnetic (AEM) data contains information about subsurface geology and hydrologic properties; however extracting this information is not trivial. Today, geophysical data is used in combination with borehole data to create detailed geological models of the subsurface. The overall statistical relationship is, however, not widely known. The objective of this study is to develop a method for understanding the relationship between petrophysical properties and lithology, and apply this to get a better understanding of large-scale petrophysical structures of the subsurface.

The data sampling is carried out in a scheme where data is interpolated onto the position of the boreholes. This allows for a lithological categorization of the interpolated resistivity values, revealing different distribution functions for lithological categories.

A very large and extensive dataset is available in Denmark through the national geophysical and borehole databases. These databases contain all geophysical and borehole data in Denmark and covers a large part of its surface. By applying the proposed algorithm to all available airborne electromagnetic data, detailed maps of the large-scale resistivity-lihology structures on a National scale in Denmark are constructed.

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References

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Moller, I., Jorgensen, F., Sondergaard, V.H., Ditlefsen, C. and Christiansen, A.V., 2015, Compilation of a Resistivity Atlas of Danish lithologies based on direct resistivity measurements and wireline logging data. This volume
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/content/journals/10.1071/ASEG2015ab238

Article Type: Research Article

Keyword(s): geophysics; Geostatistics; resistivity atlas; SkyTEM; spatial correlation

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oa Geostatistical analysis of the relationship between airborne electromagnetic data and borehole lithological data

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