A digital twin for modelling and forecasting induced seismicity

    I am the PI (co-PI Prof. Toschi TU/e) of this 4 year project, which is part of the NWO DeepNL Programme and started mid-2024. Further information can be found on the project home page.

    Summary


    We propose a numerical model capable to predict observed seismicity (size, time and location of events) based on a known fault geometry and forcing. The model will be applied to Groningen where the forcing is due to gas production. Each induced earthquake produces ground acceleration felt by the population. We will use ground accelerations from our numerical model to develop a machine learning tool able to forecast timing and size of the next event. This can be used to assess seismic hazard due to gas production, tune production to safe levels and estimate seismicity after production stop.

Comprehensive monitoring and prediction of seismicity within the Groningen gas field using large scale field observations

    I am the PI of this 5 year project, which is part of the NWO DeepNL Programme and started beginning of 2019. Further information can be found on the project home page.

    Summary


    It is well known that the seismicity in the Groningen area is due to gas extraction. The dynamics of how the rate and place of extraction is related to the magnitude and frequency of seismicity, however, is not understood. In a synergetic collaboration between the Department of Applied Mathematics at the University of Twente and the Department of Earth Sciences at Utrecht University, we propose to develop state-of-the-art tools to comprehensively address this extraction-seismicity causality.

EPOS-NL

    I am a co-PI of this NWO funded infrastructure project. Detailed information can be found on the project home page.

iGEO

    My 5 year ERC-Adg project started in 2013 and aimed to reconcile the views of geophysics and geochemistry on the Earth's deep mantle. The work was done in collaboration with the group of Paul Tackley at ETH. For more information and results please visit http://www.geo.uu.nl/iGEO.