Session: Sensing Technologies and their Latest Developments [Poster]
Type: Poster
Date: 10/7/2024
Time: 05:00 PM
Room: Stanley Park Ballroom
Amplitude Calibration for Distributed Acoustic Sensing
Distributed Acoustic Sensing data is increasingly used to characterize near-source and far-field signatures of anthropogenic and natural sources. However, conversion from strain rate to particle velocity can be challenging in environments where near-field elastic properties and fiber coupling affect the recorded DAS signal. Calibrated signal amplitudes are critical for wavefield modeling efforts and quantitative interpretation of DAS data. We compare amplitudes of controlled-source signals, ambient noise, explosions, and earthquakes recorded on co-located fiber optic and nodal instrumentation and discuss optimal approaches for converting strain rate to ground motion. Variations in fiber geometry, emplacement, and signal frequency are analyzed to derive transfer functions between fiber and geophone data for different fiber arrays and source types. We show that while empirical relations for converting strain rate to acceleration are useful as a first order approximation, using a gradiometry-derived strain rate provides a more useful comparison. These results will inform future applications where well-calibrated amplitudes are required. SNL is managed and operated by NTESS under DOE NNSA contract DE-NA0003525.
Presenting Author: Christian
Additional Authors
Christian Stanciu astanci@sandia.gov Sandia National Laboratories, Albuquerque, New Mexico, United States Presenting Author
Corresponding Author
|
Robert Porritt rwporri@sandia.gov Sandia National Laboratories, Albuquerque, New Mexico, United States |
Robert E Abbott reabbot@sandia.gov Sandia National Laboratories, Albuquerque, New Mexico, United States |
Brian A Young byoung@sandia.gov Sandia National Laboratories, Albuquerque, New Mexico, United States |
Miles Bodmer mabodme@sandia.gov Sandia National Laboratories, Albuquerque, New Mexico, United States |
Amplitude Calibration for Distributed Acoustic Sensing
Category
Sensing Technologies and their Latest Developments
Description