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A Frequency-Velocity CNN for Developing Near-Surface 2D Vs Images from
  Linear-Array, Active-Source Wavefield Measurements

A Frequency-Velocity CNN for Developing Near-Surface 2D Vs Images from Linear-Array, Active-Source Wavefield Measurements

19 July 2022
Aser Abbas
J. Vantassel
B. Cox
Krishna Kumar
J. Crocker
ArXivPDFHTML

Papers citing "A Frequency-Velocity CNN for Developing Near-Surface 2D Vs Images from Linear-Array, Active-Source Wavefield Measurements"

3 / 3 papers shown
Title
Deep-learning inversion: a next generation seismic velocity-model
  building method
Deep-learning inversion: a next generation seismic velocity-model building method
Fangshu Yang
Jianwei Ma
50
390
0
17 Feb 2019
Stochastic seismic waveform inversion using generative adversarial
  networks as a geological prior
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
L. Mosser
O. Dubrule
M. Blunt
GAN
AI4CE
91
207
0
10 Jun 2018
Rapid seismic domain transfer: Seismic velocity inversion and modeling
  using deep generative neural networks
Rapid seismic domain transfer: Seismic velocity inversion and modeling using deep generative neural networks
L. Mosser
W. Kimman
Jesper Dramsch
S. Purves
Alfredo De la Fuente
Graham Ganssle
21
49
0
22 May 2018
1