Article open access publication

Iterative modelling of AEM data based on a priori information from seismic and borehole data

Near Surface Geophysics, Wiley, ISSN 1569-4445

Volume 12, 5, 2014

DOI:10.3997/1873-0604.2014024, Dimensions: pub.1071814142,



  1. (1) Geological Survey of Denmark and Greenland (GEUS), Ø. Voldgade 10, DK‐1350, Copenhagen K., Denmark
  2. (2) Aarhus University, grid.7048.b, AU






Airborne electromagnetic methods (AEM) have become an important part of groundwater mapping in a wide range of geological settings. However, as for all geophysical methods, the results of the inversions are non‐unique and it is therefore relevant to include a priori information in order to obtain the most realistic geological inversion outcome. Despite the extensive use of AEM, only a few studies describe the effect of including a priori information in large‐scale AEM surveys. In this study, ancillary information from seismic and borehole data are used as a priori information. The basis for the study is a densely spaced airborne transient electromagnetic dataset (SkyTEM) from a 100 km2 area in the western part of Denmark. Six different inversions are performed, and these are formulated as blocky and smooth inversions with different amounts of a priori information in the deepest part of the sections. The use of a priori information has a significant influence on the interpretation of the sections in the lowermost part of the sequence. Furthermore, the middle part of the sections, which are not constrained by the a priori information, show a significant change through the different inversions. Thus, the study shows that the inclusion of a priori information to the deeper part, significantly enhances the understanding of the geology both in the intermediate and deep levels.

Research Categories

Main Subject Area

Fields of Research

Links & Metrics

NORA University Profiles

Aarhus University

Dimensions Citation Indicators

Times Cited: 7

Field Citation Ratio (FCR): 1.28

Open Access Info

Green, Submitted