6 citations · 32 across the 10 of their papers we have counts for
6 papers · 1 filter
Spatial Deep Deconvolution U-Net for Traffic Analyses with Distributed Acoustic Sensing
Siyuan Yuan, Martijn van den Ende, Jingxiao Liu +4
Distributed Acoustic Sensing (DAS) that transforms city-wide fiber-optic cables into a large-scale strain sensing array has shown the potential to revolutionize urban traffic monit…
Target-oriented elastic full-waveform inversion through extended image-space redatuming
Ettore Biondi, Guillaume Barnier, Biondo Biondi +1
Elastic full-waveform inversion (FWI) when successfully applied can provide accurate and high-resolution subsurface parameters. However, its high computational cost prevents the ap…
Full waveform inversion by model extension: practical applications
Guillaume Barnier, Ettore Biondi, Robert G. Clapp +1
Producing reliable acoustic subsurface velocity models still remains the main bottleneck of the oil and gas industry's traditional imaging sequence. In complex geological settings,…
Full waveform inversion by model extension: theory, design and optimization
Guillaume Barnier, Ettore Biondi, Robert G. Clapp +1
We describe a new method, full waveform inversion by model extension (FWIME) that recovers accurate acoustic subsurface velocity models from seismic data, when conventional methods…
Detecting local earthquakes via fiber-optic cables in telecommunication conduits under Stanford University campus using deep learning
Fantine Huot, Robert G. Clapp, Biondo L. Biondi
With fiber-optic seismic acquisition development, continuous dense seismic monitoring is becoming increasingly more accessible. Repurposing fiber cables in telecommunication condui…
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…