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A hybrid approach to seismic deblending: when physics meets
  self-supervision

A hybrid approach to seismic deblending: when physics meets self-supervision

30 May 2022
N. Luiken
M. Ravasi
C. Birnie
ArXivPDFHTML

Papers citing "A hybrid approach to seismic deblending: when physics meets self-supervision"

6 / 6 papers shown
Title
Explainable Artificial Intelligence driven mask design for
  self-supervised seismic denoising
Explainable Artificial Intelligence driven mask design for self-supervised seismic denoising
C. Birnie
M. Ravasi
8
8
0
13 Jul 2023
Posterior sampling with CNN-based, Plug-and-Play regularization with
  applications to Post-Stack Seismic Inversion
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion
M. Izzatullah
T. Alkhalifah
J. Romero
M. Corrales
N. Luiken
M. Ravasi
21
2
0
30 Dec 2022
Transfer learning for self-supervised, blind-spot seismic denoising
Transfer learning for self-supervised, blind-spot seismic denoising
C. Birnie
T. Alkhalifah
OOD
23
17
0
25 Sep 2022
Deep Preconditioners and their application to seismic wavefield
  processing
Deep Preconditioners and their application to seismic wavefield processing
M. Ravasi
22
2
0
20 Jul 2022
The potential of self-supervised networks for random noise suppression
  in seismic data
The potential of self-supervised networks for random noise suppression in seismic data
C. Birnie
M. Ravasi
T. Alkhalifah
Sixiu Liu
15
55
0
15 Sep 2021
MLReal: Bridging the gap between training on synthetic data and real
  data applications in machine learning
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning
T. Alkhalifah
Hanchen Wang
O. Ovcharenko
OOD
36
63
0
11 Sep 2021
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