27 citations · 48 across the 11 of their papers we have counts for
4 papers · 1 filter
A self-supervised scheme for ground roll suppression
Sixiu Liu, Claire Birnie, Andrey Bakulin +3
In recent years, self-supervised procedures have advanced the field of seismic noise attenuation, due to not requiring a massive amount of clean labeled data in the training stage,…
Explainable Artificial Intelligence driven mask design for self-supervised seismic denoising
Claire Birnie, Matteo Ravasi
The presence of coherent noise in seismic data leads to errors and uncertainties, and as such it is paramount to suppress noise as early and efficiently as possible. Self-supervise…
Joint Microseismic Event Detection and Location with a Detection Transformer
Yuanyuan Yang, Claire Birnie, Tariq Alkhalifah
Microseismic event detection and location are two primary components in microseismic monitoring, which offers us invaluable insights into the subsurface during reservoir stimulatio…
Deep Learning-based extraction of surface wave dispersion curves from seismic shot gathers
Danilo Chamorro, Jiahua Zhao, Claire Birnie +3
Multi-channel Analysis of Surface Waves (MASW) is a seismic method employed to obtain useful information about shear-wave velocities in the near surface. A fundamental step in this…