Shear wave velocity prediction using bidirectional recurrent gated graph convolutional network with total information embeddings

Shear wave velocity prediction using bidirectional recurrent gated graph convolutional network with total information embeddings

Shear wave velocity is an essential elastic rock parameter for reservoir characterization, fluid identification, and rock physics model building. However, S-wave velocity logging data are often missing due to economic reason. Machine learning approaches have been successfully adopted to overcome thi...

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Bibliografski detalji
Glavni autori: David Cova, Yang Liu
Format: Članak
Jezik:English
Izdano: Frontiers Media S.A. 2023-02-01
Serija:Frontiers in Earth Science
Teme:
shear wave velocity prediction
graph convolutional network
bidirectional gated recurrent unit
total information coefficient
graph neural network
outlier removal
Online pristup:https://www.frontiersin.org/articles/10.3389/feart.2023.1101601/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2023.1101601/full

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