Find the EGU on

Follow us on Twitter Find us on Facebook Find us on Google+ Find us on LinkedIn Find us on YouTube


Integrated modelling of densely spaced near-surface geophysical data and geological and hydrogeological information (co-organized)PICO Session
Co-Convener: Jan Gunnink 
 / Wed, 30 Apr, 13:30–15:00  / PICO Spot 2
Add this session to your Personal programme

In recent years, integration of 3-D and pseudo-3-D geophysical models in geological and hydrogeological modelling is receiving increasing interest. Geological and hydrogeological modelling requires a detailed knowledge of the subsurface, but geological/hydrogeological sampling from wells is often too sparse to achieve the required detail. Therefore, data used for modelling are increasingly complemented by geophysical data. In many cases the quality of the geological and hydrogeological models can be improved considerably by incorporating information from geophysical data. On the other hand geophysical modelling suffers from ambiguity problems due to model equivalency. Integrating a-priori geological and hydrological information can be used to tackle this problem and optimise the outcome of the geophysical modelling. Hence, modelling of geophysical data, geology, hydrochemistry and hydrological information should optimally be combined in an iterative modelling process. However, as linking geology/rock properties and geophysical properties is not trivial, investigation of a ‘translation key’ (e.g. by laboratory studies) can provide valuable information on how to convert geophysical parameters into useful information for geological/hydrogeological modelling and how to translate geological/hydrogeological information into a-priori information suitable for geophysical modelling in a more sufficient way.
We welcome contributions that highlight integrated modelling of densely spaced near-surface geophysical data and geological and hydrogeological information in terms of theoretical/numerical considerations, laboratory studies and case studies. We particularly invite presentations that focus on the coupling of airborne-electromagnetic, geological and hydrogeological data.