29 citations · 91 across the 10 of their papers we have counts for
11 papers
Bridge Vibrations as Persistent Seismic Sources for Time-lapse Imaging of River Corridors with Distributed Acoustic Sensing
Haipeng Li, Jingxiao Liu, Doyun Hwang +2
Fluvial corridors mediate dynamic river-groundwater exchanges and support major transportation infrastructure, yet continuous subsurface monitoring remains limited by sparse point…
Urban Sensing Using Existing Fiber-Optic Networks
Jingxiao Liu, Haipeng Li, Hae Young Noh +3
The analysis of urban seismic signals offers valuable insights into urban environments and society. Yet, accurate detection and localization of seismic sources on a city-wide scale…
Characterizing Vehicle-Induced Distributed Acoustic Sensing Signals for Accurate Urban Near-Surface Imaging
Jingxiao Liu, Haipeng Li, Siyuan Yuan +2
Continuous seismic monitoring of the near-surface structure is crucial for urban infrastructure safety, aiding in the detection of sinkholes, subsidence, and other seismic hazards.…
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…
TelecomTM: A Fine-Grained and Ubiquitous Traffic Monitoring System Using Pre-Existing Telecommunication Fiber-Optic Cables as Sensors
Jingxiao Liu, Siyuan Yuan, Yiwen Dong +2
We introduce the TelecomTM system that uses pre-existing telecommunication fiber-optic cables as virtual strain sensors to sense vehicle-induced ground vibrations for fine-grained…
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…
Automatic Interpretative Image-Focusing Analysis
Joseph Jennings, Robert Clapp, Mauricio Araya-Polo +1
The focusing of a seismic image is directly linked to the accuracy of the velocity model. Therefore, a critical step in a seismic imaging workflow is to perform a focusing analysis…
Integrating Deep Neural Networks with Full-waveform Inversion: Reparametrization, Regularization, and Uncertainty Quantification
Weiqiang Zhu, Kailai Xu, Eric Darve +2
Full-waveform inversion (FWI) is an accurate imaging approach for modeling velocity structure by minimizing the misfit between recorded and predicted seismic waveforms. However, th…