Data Analysis and Inversion Methods

The methodical developments of resistivity methods are a main focus of the work in the section. For this we develop numerous measuring methods and their application in the scientific context. This is also done in the scope of third-party projects. Methodical improvement are valuable for the topical research fields.

Methodical developments improve the measuring schemes itself and optimise the experimental design such as in the positioning of sensors and the choice of arrays. In the recent years the rapidly developing instruments demand more accurate and sophisticated interpretation software by the application of modern numerical algorithms. Thus, methods are improved by bringing it to higher dimensionality, greater depths or new applications.

Projects

Modeling and Inversion

In order to analyse data from powerful acquisition systems, complex algorithms are necessary. Synthetic models and inversions provide a detailed image of the subsurface and are able to predict the feasibility of measurements and to evaluate the quality of results. details

Monitoring

Beyond the purely structural and petrophysical investigation we often want to understand the dynamics of ongoing processes. For these purposes repetitional measurements can be applied. Special algorithms are then able to image the changes of the physical parameters in the subsurface and thus the processes itself. details

Large-scale resistivity methods

The investigation of deep (several 100m) structures is often restricted to expensive seimic surveys yielding structural information. In order to obtain information about the distribution of sediments and fluids we can additionally apply large-scale geoelectric experiments, either as classical vertical soundings or dipole-dipole surveys. details