DLP Webinar: Stochastic Time-Lapse ERT Inversion by Means of an Ensemble-Based Approach
| Instructor: | Alessandro Vinciguerra |
|---|---|
| Duration: | 30 min include Q&A |
| Main topics: | Stochastic inversion and ERT |
| Language: | English |
Next Delivery: 5 October 2023, 13:00 CEST
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Time-Lapse Electrical Resistivity Tomography (TL-ERT) is a time-extension of the more conventional ERT method widely used in mapping near-surface processes. The ERT inverse problem is ill-posed and it is usually solved by gradient-based least square approach without a robust uncertainty appraisals. In this Webinar I will show you the stochastic Ensemble Smoother Multiple Data Assimilation algorithm (ES-MDA) that we Implemented to perform a Time- Lapse ERT inversion. This approach allows to simultaneously assess the initial resistivity model, the resistivity variation in time, and also the corresponding uncertainties. After a brief introduction I will show you the features of the implemented algorithm and the application to field dataset acquired by the Pillemark landfill monitoring station (Samsø, Denmark).
Participants' Profile
Geophysicist interested in Bayesian inversion and/ or ERT.
About the Lecturer
Alessandro Vinciguerra is currently a postdoctoral researcher at ITES,
Université de Strasbourg (France). Alessandro interests regard the inversion
algorithms in the context of ERT, Electromagnetics and Induced Polarization.
He holds a PhD degree in geophysics from University of Pisa and Florence
(Italy).