Within this scope, several fibers have been instrumented with
ΙΈ-OTDR interrogators, which are capable of deriving apparent strain
measures from phase changes of Rayleigh back-scattering. The
interpretation of DAS data can be challenging, as Rayleigh-based systems
are inherently sensitive not only to longitudinal strain, but also to
temperature and pressure. Furthermore, the finite size of the sensing
elements can introduce physical filtering on specific wavelengths, and
varying sensitivity that depends on the azimuth from which energy is
reaching the fiber. The acquisition parameters (sampling rate, gauge
length, overlap) must be balanced for every experiment, considering not
only the scientific.
What this training session is about
An introduction to Rayleigh-based Distributed Acoustic Sensing (DAS) to take a researcher from knowing nothing
about DAS to accessing high-volume data in the cloud. This training session covers the physics of the sensors, the logic of the metadata, and the modern cloud-computing tools required
to work with the data without downloading it all.