Title
Automatic Velocity Analysis Using a Hybrid Regression Approach With Convolutional Neural Networks
Abstract
The definition of reliable velocity functions is paramount for obtaining high-quality poststack seismic data. Velocity functions are commonly created with the interpreter interactively selecting high-energy peaks in velocity spectra and verifying if the derived velocity functions match the traveltime trajectories in the corresponding common midpoint (CMP) gathers. Modern software further allows th...
Year
DOI
Venue
2021
10.1109/TGRS.2020.3022744
IEEE Transactions on Geoscience and Remote Sensing
Keywords
DocType
Volume
Training,Microsoft Windows,MOS devices,Convolution,Splines (mathematics),Computer architecture,Stacking
Journal
59
Issue
ISSN
Citations 
5
0196-2892
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Rodrigo S. Ferreira182.20
Dário Augusto B. Oliveira2236.45
Daniil G. Semin300.34
Semen Zaytsev400.34