Fiber-optic volcano-tectonic fault imaging with coherent wavefields and deep learning

• Applicant: Dr. Alexander Bauer
• Subject Area: Geophysics
• Term: since 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 525448951

High resolution geophysical imaging of the subsurface in densely populated volcanic regions is crucial for assessing and mitigating potential hazards. The recently emerging distributed acoustic sensing (DAS) allows the cost-efficient measurement of continuous multi-channel seismic strain data with fiber-optic cables and is particularly suited for urban areas. In this project, I propose to combine established processing schemes designed for multi-channel seismic data and deep learning techniques for coherent wavefield enhancement and separation in order to identify and image small-scale faults driven by volcano-tectonic interaction in fiber-optic measurements acquired on the eastern flank of Mount Etna (Italy).

• DFG Programme: WBP Fellowship
• International Connection: Italy
• Host: Gilda Currenti, Ph.D.