02/11/2019
FOSA Webinar "Opportunistic Earthquake and Ambient Noise Monitoring using DAS on Existing Fiber Infrastructure" presented by OptaSense February 21.
Register: https://attendee.gotowebinar.com/register/6921585519716242178
Fiber-optic Distributed Acoustic Sensing (DAS) uses laser light to measure the strain inside a fiber due to external forces. Various industry segments, such as oil & gas, energy, and engineering use dedicated-purpose installations. These reliably transfer of the underlying acoustic or strain signal onto the fiber. Variations of the recorded signal over time and space are utilized to reliably derive various mission critical information.
However, fiber infrastructure is all around us and bundles of unused fiber are often available for opportunistic sensing purposes. We show examples of earthquake sensing and ambient noise monitoring on several infrastructure installations. Earthquake sensing is usually aimed at providing early-warning times to minimize the impact of an earthquake. Ambient noise monitoring is utilized when active source seismic surveys are logistically impossible, inefficient or too expensive.
Those sensing and monitoring techniques are traditionally carried out with sparse (and sometimes very expensive) point sensor such as accelerometers, geophones or broad-band seismic stations. Turning fiber infrastructure into tens of thousands of virtual strain sensors, allows us to create large-scale sensing arrays. These sensors can be combined and analyzed effectively to determine earthquake wave speeds, types, arrival times and magnitudes. The availability of such a large number of sensors along the fiber yields large quantities of high resolution data which can be used in novel algorithms and analysis techniques. Since infrastructure fibers are widely installed for a variety of purposes, they present excellent opportunities for a multitude of Distributed Acoustic Sensing applications.
Presented by Martin Karrenbach of OptaSense.
Martin Karrenbach is Sr. Manager Innovation at Optasense where he is focused on developing novel techniques, algorithms and software in support of fiber-optic sensing data to allow acquisition, processing, imaging and integration with standard seismic, microseismic, flow and engineering data. Dr. Karrenbach received his Ph.D. in Geophysics from Stanford University. He is a member of SEG, EAGE, AGU and SPE.
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