152 citations · 252 across the 10 of their papers we have counts for
10 papers
DeepNRMS: Unsupervised Deep Learning for Noise-Robust CO2 Monitoring in Time-Lapse Seismic Images
Min Jun Park, Julio Frigerio, Bob Clapp +1
Monitoring stored CO2 in carbon capture and storage projects is crucial for ensuring safety and effectiveness. We introduce DeepNRMS, a novel noise-robust method that effectively h…
Moment tensor inversion of perforation shots using distributed acoustic sensing
Milad Bader, Robert G. Clapp, Kurt T. Nihei +1
Distributed acoustic sensing (DAS) fibers have enabled various geophysical applications in unconventional reservoirs. Combined with perforation shots, a DAS fiber can record valuab…
Vibration-Based Bridge Health Monitoring using Telecommunication Cables
Jingxiao Liu, Siyuan Yuan, Bin Luo +2
Bridge Health Monitoring (BHM) enables early damage detection of bridges and is thus critical for avoiding more severe damages that might result in major financial and human losses…
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,…