2 citations · 5 across the 4 of their papers we have counts for
4 papers
Simultaneous Automatic Picking and Manual Picking Refinement for First-Break
Haowen Bai, Zixiang Zhao, Jiangshe Zhang +4
First-break picking is a pivotal procedure in processing microseismic data for geophysics and resource exploration. Recent advancements in deep learning have catalyzed the evolutio…
DSU-Net: Dynamic Snake U-Net for 2-D Seismic First Break Picking
Hongtao Wang, Rongyu Feng, Liangyi Wu +4
In seismic exploration, identifying the first break (FB) is a critical component in establishing subsurface velocity models. Various automatic picking techniques based on deep neur…
Seismic First Break Picking in a Higher Dimension Using Deep Graph Learning
Hongtao Wang, Li Long, Jiangshe Zhang +3
Contemporary automatic first break (FB) picking methods typically analyze 1D signals, 2D source gathers, or 3D source-receiver gathers. Utilizing higher-dimensional data, such as 2…
UPNet: Uncertainty-based Picking Deep Learning Network for Robust First Break Picking
Hongtao Wang, Jiangshe Zhang, Xiaoli Wei +2
In seismic exploration, first break (FB) picking is a crucial aspect in the determination of subsurface velocity models, significantly influencing the placement of wells. Many deep…