Imaging large-scale geological structures using Deep ERT: a case study on the Booze Val-Dieu block in Belgium
- 1University of Liège, Urban and Environmental Engineering, Liège, Belgium
- 2University of Bonn, Institute of Geosciences, Geophysics Section, Bonn, Germany
- 3RWTH Aachen University, Computational Geoscience, Geothermics and Reservoir Geophysics (CGGR), Aachen, Germany
- 4Nikhef, Projectbureau ET-NGF, Amsterdam, Netherlands
The geophysical investigation of geologic structures is an essential prerequisite for the preparatory phase of large subsurface construction projects like caverns or tunnels and to study structural geology. This type of investigation is crucial to guide boreholes for relevant ground truth, knowledge of the local geology, or to adjust the position of underground constructions.
Typical approaches to image large structures are seismic reflection surveys or Airborne Electromagnetic surveys (AEM). However, seismic surveys might fail due to an absorbing soft top layer or steeply inclined layers. AEM surveys generally are poorly adapted to applications in urbanized areas. To overcome these issues, another method for large-scale subsurface imaging is the application of Deep Electrical Resistivity Tomography (Deep ERT), a recent approach where employing separated injection and measurement systems allows for large injection dipoles that retrieve information from depth.
We conducted a Deep ERT campaign in the framework of the E-TEST project for the investigation for a suitable location for the Einstein Telescope, a gravitational wave observatory consisting of a set of subsurface laser interferometers in a triangular shape at a depth around 300 m. Here, we present the results from a 2D Deep ERT survey in Val Dieu, Belgium with a total length and maximum injection dipoles of 7,5 km and a total of 14040 measured datapoints. We show the challenges during preparation, performance and data processing and discuss its capability in imaging large and deep geological structures.
How to cite: Forth, Y., Michel, H., Caterina, D., Hase, J., Kemna, A., Chudalla, N., Wellmann, F., Vink, B., and Nguyen, F.: Imaging large-scale geological structures using Deep ERT: a case study on the Booze Val-Dieu block in Belgium, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-16128, https://doi.org/10.5194/egusphere-egu24-16128, 2024.