Distributed acoustic sensing (DAS) delivers real-time observation ofphysical perturbations
such as vibrations or strain variations in conventional optical fibers with high sensitivity. The …

Distributed acoustic sensing (DAS) has been considered a breakthrough technique in
seismic data collection owing to its advantages in acquisition cost and accuracy. However …

Reconstruction of the distribution of ground motion due to an earthquake is one of the key
technologies for the prediction of seismic damage to infrastructure. Particularly, the …

We propose a new fast algorithm to estimate any sparse generalized linear model with
convex or non-convex separable penalties. Our algorithm is able to solve problems with …

Fault zone structures at many scales largely dictate earthquake ruptures and are controlled
by the geologic setting and slip history. Characterizations of these structures at diverse …

Due to inherent limitations in data acquisition, seismic data reconstruction is an important
procedure to recover missing data or improve observation density. Many conventional …

Distributed acoustic sensing (DAS) networks promise to revolutionize observational
seismology by providing cost-effective, highly dense spatial sampling of the seismic …

Phase-sensitive optical time-domain reflectometry (Φ-OTDR) based on heterodyne
detection is widely used for its simple structure and high signal-to-noise ratio (SNR) …

Dense shots can improve the fold of subsurface imaging points, which is essential for the
resolution of imaging results. However, dense shots significantly increase the cost of data …

The random noise attenuation is an essential step in seismic data processing. Due to
complex geological conditions and acquisition environment, the intensity of the effective …