From Manual to Automatic AEM Bedrock Mapping

Author:

Anschütz Helgard1,Vöge Malte1,Lysdahl Asgeir K.1,Bazin Sara1,Sauvin Guillaume1,Pfaffhuber Andi1,Berggren Anne-Lise2

Affiliation:

1. Norwegian Geotechnical Institute Sognsveien 72, 0855 Oslo, Norway

2. Jernbaneverket Postboks 4350, 2308 Hamar, Norway

Abstract

An extensive airborne electromagnetic (AEM) survey was carried out in Norway with the primary purpose to obtain information of depth to bedrock in areas with little or no prior geotechnical knowledge. We present different approaches to extract a bedrock model from the high-resolution time-domain AEM data, including both automated and manual procedures. It was found that in the area of investigation a user-driven approach of manual bedrock picking was the most suitable, taking into account the strongest vertical resistivity gradient and geological information as additional information. A semi-automatic, statistical method, called Localized Smart Interpretation (LSI), is also presented and discussed. This method, while not included in the original bedrock model for the entire area, showed promising results while using less time compared to the fully manual approach. It is recommended that LSI be considered in future projects of similar scope.

Publisher

Environmental and Engineering Geophysical Society

Subject

Geophysics,Geotechnical Engineering and Engineering Geology,Environmental Engineering

Reference24 articles.

1. Anschütz, H., Pfaffhuber, A.A., Herman, S., Auken, E., Pedersen, J.B., Schamper, C., Sagbakken, A., and Effersø, F., 2013, Increasing geotechnical design efficiency by virtue of HTEM sediment mapping: SAGA-AEM Biennial Conference and Exhibition, Mpumalanga, South Africa.

2. Anschütz, H., Christensen, C., and Pfaffhuber, A. 2014, Quantitative depth to bedrock extraction from AEM data: Near Surface Geoscience, Athens, Greece, Expanded Abstract, Tu Olym 01.

3. Anschütz, H., Bazin, S., Kåsin, K., Pfaffhuber, A., and Smaavik, T.F., 2017, Airborne sensitive clay mapping – stretching the limits of AEM resolution and accuracy: submitted to Near Surface Geoscience.

4. Piecewise 1D laterally constrained inversion of resistivity data

5. Bedrock detection beneath river terrace deposits using three-dimensional electrical resistivity tomography

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