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Evaluation of Passive Source DAS Methods on the Source Physics Experiment (SPE) Phase II

Description: 

Distributed Acoustic Sensing (DAS) is an emerging technology capable of recording the acoustic wavefield at unprecedented spatial resolution. However, this new tool requires significant refinements before it becomes operational for explosion monitoring objectives. Recent studies have shown significant development of array processing with DAS data. In this contribution we explore three such array processing methods including DAS strain-rate data versus geophone measured ground motion, beamforming for event parameters, and machine learning based denoising. We first validate the methods on published results and then apply to high SNR data from the Source Physics Experiment Phase II. We further investigate these methods as a function of DAS array design and SNR through the use of synthetic signals and noise.

The Source Physics Experiment (SPE) would not have been possible without the support of many people from several organizations. The authors wish to express their gratitude to the National Nuclear Security Administration, Defense Nuclear Nonproliferation Research and Development (DNN R&D), and the SPE working group, a multi-institutional and interdisciplinary group of scientists and engineers.

SNL is managed and operated by NTESS under DOE NNSA contract DE-NA0003525

Session: Advancing Seismology with Distributed Fiber Optic Sensing - III

Type: Oral

Date: 5/3/2024

Presentation Time: 02:30 PM (local time)

Presenting Author: Robert

Student Presenter: No

Invited Presentation: 

Authors