AGU 2023 - Session S020 - Leveraging Distributed Acoustic Sensing in Modern Monitoring Applications
Rob Porritt
Dear Colleagues,
We wish to draw your attention to the AGU 2023 Fall Meeting session for monitoring with Distributed Acoustic Sensing:
Session S020: Leveraging Distributed Acoustic Sensing in Modern Monitoring Applications
Session ID: 187296
Distributed Acoustic Sensing (DAS) achieves an end-member capability for large-N, array-based seismology. In this session, we invite applications of DAS to problems of seismic monitoring. Effective seismic monitoring, whether for underground nuclear explosions, geothermal production, hydrocarbon extraction, carbon sequestration, or seismic hazards, requires accurate and efficient signal detection, phase identification, event formation and location, magnitude estimation, and event classification and characterization. We encourage presentations that address the challenges and opportunities that using DAS for monitoring presents, due to its measurement of strain or strain-rate, usually uniaxially along very dense linear arrays, for tens of km, often in settings where traditional seismometers may not be easily deployed. These may include, but are not limited to, DAS array development/deployment, detection and characterization of natural and anthropogenic signals, algorithms/techniques to handle and process the large amounts of data recorded by DAS, and validation of the DAS wavefield with external datasets (e.g., geophones).
Conveners:
G. Eli Baker, Air Force Research Lab
Robert W. Porritt, Sandia National Laboratories
Jennifer Picucci, Geotechnical and Structures Laboratory
Loïc Viens, Los Alamos National Laboratory
Michal Chamarczuk, Rice University
We look forward to your submissions, contributions, and informal chats over coffee/tea during the meeting at San Francisco.
Abstracts are due August 2nd, 2023. To submit an abstract, please follow the link above or here.
Best Regards,
Rob Porritt
Eli Baker
Jennifer Picucci
Loïc Viens
Michal Chamarczuk