Deliverables

D 1.1 Reservoir evolution: Efficacy of coupled surface-downhole monitoring technologies

D 1.2 Lessons learnt from DSSN deployment: Benefits and Drawbacks

D 2.1 Deep learning methods for microseismicity characterization

D 2.2 Comparison of different techniques for induced seismicity monitoring

D 2.3 Integrating DAS and geophone chain in real-time monitoring systems

D 2.4 Using DAS and geophone chain for imaging (fault detection)

D 3.1 Extensive comparison of existing forecasting induced seismicity models with existing datasets

D 3.2 Development of Machine Learning based induced seismicity forecasting model

D 3.3 Release of new hybrid model for induced seismicity forecasting

D 5.1 Report containing the national annexes for The Netherlands, Switzerland

D 5.2 Report with the results of two population surveys

D 5.3 Report containing the general guidelines for risk governance including protocols for seismic risk monitoring and imaging

D 5.4 Release of the open-source toolbox for a priori and real-time risk assessment