Simulating seismic wave propagation to understand Distributed Acoustic Sensing
Abstract
Distributed Acoustic Sensing (DAS) is widely used as a data acquisition technology for a range of geophysical goals, such as characterization of petroleum reservoirs, monitoring hydraulic fracturing processes, and mapping variation of expected strong ground motion from earthquakes near urban areas. We are investigating the possible utility of DAS to improve capabilities for monitoring seismic events, such as earthquakes. Conventional seismometers sense displacement or velocity at a point but DAS, instead, senses strain or strain rate. To develop an understanding of the capabilities and limitations of DAS, we intend to (1) conduct numerical simulations of wave propagation in which the output parameter is strain rather than displacement, (2) simulate strain data as differences between displacement at sites of small aperture arrays of conventional seismometers, and (3) perform analysis of DAS data collected using fiber optic cables that have been deployed for other purposes. Here we aim to conduct numerical simulations of wave propagation to determine the ability of DAS to yield strain information.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2020
- Bibcode:
- 2020AGUFMS045.0016B
- Keywords:
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- 4430 Complex systems;
- NONLINEAR GEOPHYSICS;
- 7219 Seismic monitoring and test-ban treaty verification;
- SEISMOLOGY;
- 7270 Tomography;
- SEISMOLOGY;
- 7290 Computational seismology;
- SEISMOLOGY