Self-potential corresponds to the passive measurements, at the surface of the Earth or in boleholes, of polarization processes occurring in the subsoil using networks of non-polarizing electrodes. Once filtered for spurious sources, two main mechanisms are responsible for the observed self-potential signals: (1) ground water flow (through the so-called electrokinetic effect) and (2) redox potential (the so-called geobattery process). We propose a general theoretical mechanistic framework to simulate these two sources including the effect of the resistivity and texture / bacterial processes affecting the measured response.
We also propose an inverse theory based on solving the Poisson equation that can incorporate a prior information, uncertainty on the measured data and model parameters using a Bayesian framework. I will also discussed joint inversion strategies of self-potential data with other geophysical methods. Applications will be shown in thelds of hydrogeophysics and volcanology.