Bidirectional Long Short-term Neural Network Based on the Attention Mechanism of the Residual Neural Network (ResNet–BiLSTM–Attention) Predicts Porosity through Well Logging Parameters

[Image: see text] Porosity is an integral part of reservoir evaluation, but in the field of reservoir prediction, due to the complex nonlinear relationship between logging parameters and porosity, linear models cannot accurately predict porosity. Therefore, this paper uses machine learning methods t...

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Detalles Bibliográficos
Autores principales: Sun, Youzhuang, Zhang, Junhua, Yu, Zhengjun, Zhang, Yongan, Liu, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323947/
https://www.ncbi.nlm.nih.gov/pubmed/37426272
http://dx.doi.org/10.1021/acsomega.3c03247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323947/
https://www.ncbi.nlm.nih.gov/pubmed/37426272
http://dx.doi.org/10.1021/acsomega.3c03247

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