11 citations · 25 across the 7 of their papers we have counts for
7 papers
A Label-Free High-Precision Residual Moveout Picking Method for Travel Time Tomography based on Deep Learning
Hongtao Wang, Jiandong Liang, Lei Wang +4
Residual moveout (RMO) provides critical information for travel time tomography. The current industry-standard method for fitting RMO involves scanning high-order polynomial equati…
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…
Seismic Data Interpolation via Denoising Diffusion Implicit Models with Coherence-corrected Resampling
Xiaoli Wei, Chunxia Zhang, Hongtao Wang +5
Accurate interpolation of seismic data is crucial for improving the quality of imaging and interpretation. In recent years, deep learning models such as U-Net and generative advers…
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…
MSSPN: Automatic First Arrival Picking using Multi-Stage Segmentation Picking Network
Hongtao Wang, Jiangshe Zhang, Xiaoli Wei +4
Picking the first arrival times of prestack gathers is called First Arrival Time (FAT) picking, which is an indispensable step in seismic data processing, and is mainly solved manu…
Automatic Stack Velocity Picking Using an Unsupervised Ensemble Learning Method
H. T. Wang, J. S. Zhang, C. X. Zhang +2
Seismic velocity picking algorithms that are both accurate and efficient can greatly speed up seismic data processing, with the primary approach being the use of velocity spectra.…