Objective Climate change mitigation requires a fast and efficient transition to clean and sustainable energy production.Enhanced Geothermal Systems (EGS) play a key Climate change mitigation requires a fast and efficient transition to clean and sustainable energy production. In this context, Enhanced Geothermal Systems (EGS) can play a key role in facing this challenge since, with this technology, clean energy production from the Earth's heat is no longer confined to volcanic or hydrothermal regions. Despite this potential, EGS presents society and economy-related problems that need to be solved to ensure operational safety, continuity, and public acceptance of such industrial projects. Induced seismicity is the major obstacle to the development and social acceptance of EGS projects. In the last years, several damaging earthquakes have been associated with EGS, leading to the definitive closure of the involved projects and raising social concerns against this form of energy production. With DERISK we aim to develop new paradigms for induced seismicity analysis, combining the latest available data acquisition technologies, such as distributed acoustic sensing (DAS), with innovative deep-learning techniques. To characterize induced seismicity with unprecedented resolution and accuracy, we want to develop a next-generation data analysis framework combining deep-learning and waveform-based seismic imaging techniques. Our final goal is to produce deep-learning-based enhanced microseismicity catalogs that will be used to test the performance of new induced seismicity forecasting models exploiting the recent research advances in the field of physics-informed machine learning. The techniques developed within DERISK will be tested and validated with high-quality induced seismicity datasets collected at different EGS sites. If successful, DERISK will open the way to a safer and more widespread development of EGS projects, contributing to the transition to sustainable energy production. Fields of science natural sciencesearth and related environmental sciencesgeologyseismologymicroseismssocial sciencessociologygovernancecrisis managementnatural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learningnatural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changesengineering and technologyenvironmental engineeringenergy and fuelsrenewable energygeothermal energy Keywords Induced Seismicity Deep-Learning Geothermal Energy Programme(s) HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme Topic(s) HORIZON-MSCA-2022-PF-01-01 - MSCA Postdoctoral Fellowships 2022 Call for proposal HORIZON-MSCA-2022-PF-01 See other projects for this call Funding Scheme HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships Coordinator UNIVERSITA DI PISA Net EU contribution € 172 750,08 Address Lungarno pacinotti 43/44 56126 Pisa Italy See on map Region Centro (IT) Toscana Pisa Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
