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Room: K’enakatnu 6

Date: 5/3/2024

Session Time: 2:00 PM to 3:15 PM (local time)

Distributed fiber optic sensing (DFOS) has emerged as a transformative technology in seismology, offering unparalleled sensing density and cost-effectiveness compared to classical seismic acquisitions, especially in challenging-to-access areas. DFOS enables a wide range of seismic studies, including earthquake detection and location, source focal mechanism and fault rupture process inversions, geo-hazard early warning, microseismic monitoring, subsurface imaging, near-surface and reservoir characterization, urban and environmental monitoring and nondestructive testing. The unused land and subsea telecommunication fiber optic cables, commonly known as ‘dark fibers’, have progressively contributed to significant new findings in the Earth sciences. 
 
Moreover, novel sensing techniques and improved instruments are extending the range, enhancing sensitivity and diminishing the noise floor of DFOS, enabling the observation of physical phenomena with an unprecedented resolution. DFOS also makes it possible to integrate multi-physics measurements, such as strain/strain rate (e.g., distributed acoustic sensing or DAS), temperature, electric and magnetic fields, in combination with other point-based sensors, to better constrain subsurface structures and processes and quantify their spatial and temporal variations. Both traditional and novel big-data technologies, including high-performance computing, cloud storage and computing, as well as machine learning, are now successfully employed to effectively manage, process and exploit the vast amounts of data collected by DFOS. 
 
This session aims to explore the latest developments in DFOS technologies, applications and challenges in the integration of DFOS into seismological research. We welcome experts, researchers and practitioners from various disciplines to share, network and exchange innovative ideas to leverage DFOS and advance its applications in seismology and Earth sciences. 

Conveners:
Ettore Biondi, California Institute of Technology (ebiondi@caltech.edu)
Daniel Bowden, ETH Zurich (daniel.bowden@erdw.ethz.ch)
Derrick Chambers, Colorado School of Mines (derrickchambers@mines.edu)
Julia Correa, Lawrence Berkeley National Laboratory (juliacorrea@lbl.gov)
Manuel Mendoza, University of Colorado, Boulder (Manuel.Mendoza@colorado.edu)
Krystyna Smolinski, ETH Zurich (krystyna.smolinski@erdw.ethz.ch)
Veronica Rodriguez Tribaldos, GFZ Potsdam (verort@gfz-potsdam.de)
Shihao Yuan, Colorado School of Mines (syuan@mines.edu)

Oral Presentations