6 citations · 19 across the 5 of their papers we have counts for
7 papers · 1 filter
Daily Groundwater Monitoring Using Vehicle-DAS Elastic Full-waveform Inversion
Haipeng Li, Jingxiao Liu, Shujuan Mao +3
Understanding groundwater dynamics is critical for sustainable water management, particularly as climate extremes intensify. However, the resolutions of existing subsurface observa…
Source footprint elimination in full-waveform inversion by model extension: Application to elastic guided waves recorded by distributed acoustic sensing in unconventional reservoir
Milad Bader, Robert G. Clapp, Kurt T. Nihei +1
Source footprints represent an inherent problem to full-waveform inversion (FWI). They are caused by the high data sensitivity to the model parameters in the vicinity of the seismi…
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…
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…