152 citations · 164 across the 3 of their papers we have counts for
4 papers · 1 filter
Detection and characterization of microseismic events from fiber-optic DAS data using deep learning
Fantine Huot, Ariel Lellouch, Paige Given +5
Microseismic analysis is a valuable tool for fracture characterization in the earth's subsurface. As distributed acoustic sensing (DAS) fibers are deployed at depth inside wells, t…
Low-magnitude Seismicity with a Downhole Distributed Acoustic Sensing Array -- examples from the FORGE Geothermal Experiment
Ariel Lellouch, Ryan Schultz, Nathaniel J. Lindsey +2
We show the capabilities of a downhole Distributed Acoustic Sensing (DAS) array in detecting, locating and characterizing low-magnitude earthquakes occurring in the vicinity of the…
Near-surface Characterization Using a Roadside Distributed Acoustic Sensing Array
Siyuan Yuan, Ariel Lellouch, Robert G. Clapp +1
Thanks to the broadband nature of the Distributed Acoustic Sensing (DAS) measurement, a roadside section of the Stanford DAS-2 array can record seismic signals from various sources…
City-scale dark fiber DAS measurements of infrastructure use during the COVID-19 pandemic
Nathaniel J. Lindsey, Siyuan Yuan, Ariel Lellouch +3
Throughout the recent COVID-19 pandemic when government officials around the world ordered citizens to quarantine inside their homes, real-time measurements about the use of roads,…