Room: Exhibit Hall
Date: 5/3/2024
Session Time: 8:00 AM to 5:45 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)
Poster Presentations
| Participant Role | Details | Action |
|---|---|---|
| Submission | Near-Source T-Wave Observations in the North Atlantic Using Distributed Acoustic Sensing | View |
| Submission | Matched-Filter Earthquake Detection Applied to City-Scale DAS Fibre-Optic Systems in Aotearoa New Zealand: What More Can We Detect? | View |
| Submission | Use of Distributed Acoustic Sensing as a Tool for Monitoring Geohazards at Mt. Rainier | View |
| Submission | Exploring the Potential for Joint Monitoring of Tectonic Tremor Using Dark Fiber and Seismometers | View |
| Submission | Towards a Metadata Standard for Distributed Acoustic Sensing (DAS) Data Collection | View |
| Submission | Fiber Optic Wellbore Installation for Distributed Acoustic Sensing at Los Alamos National Laboratory | View |
| Submission | Distributed Fiber-Optic Magnetic Sensing for Subsurface Imaging and Monitoring | View |
| Submission | WITHDRAWN Using AIS Data to Determine the Location of Ocean Bottom Fiber Optic Cables | View |
| Submission | Geolocalization and Preliminary Surface Signals of Cascadia DAS Array, Port Angeles, Washington | View |
| Submission | 2-D Shear-Wave Velocity Profile of Shallow Sediments Using Ocean Bottom Distributed Acoustic Sensing and Ambient Noise Probabilistic Inversion | View |
| Submission | Exploring Source and Structure Sensitivity Kernels of DAS Ambient Noise Correlations | View |
| Submission | Earthquake Detection of the MiDAS Seismic Monitoring System Containing Downhole Optic-Fiber Distributed Acoustic Sensing and Borehole Seismometers | View |
| Submission | A Metadata and Time-Series DAS Workflow Using Cloud Computing | View |
| Submission | Modelling Wavefield Complexity for Submarine DAS Data From Santorini (Greece) | View |
| Submission | WITHDRAWN HD-TMA: A New Fast Template Matching Algorithm Implementation for Linear DAS Array Data | View |
| Submission | Signal Detection With Neural Networks in Dark Fiber Seismic Data | View |
Advancing Seismology with Distributed Fiber Optic Sensing [Poster Session]
Description