A gated recurrent unit model to predict Poisson's ratio using deep learning

A gated recurrent unit model to predict Poisson's ratio using deep learning

Static Poisson's ratio (νs) is crucial for determining geomechanical properties in petroleum applications, namely sand production. Some models have been used to predict νs; however, the published models were limited to specific data ranges with an average absolute percentage relative error (AAP...

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Bibliographic Details
Main Authors: Fahd Saeed Alakbari, Mysara Eissa Mohyaldinn, Mohammed Abdalla Ayoub, Ibnelwaleed A. Hussein, Ali Samer Muhsan, Syahrir Ridha, Abdullah Abduljabbar Salih
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Journal of Rock Mechanics and Geotechnical Engineering
Subjects:
Static Poisson's ratio
Deep learning
Gated recurrent unit (GRU)
Sand control
Trend analysis
Geomechanical properties
Online Access:http://www.sciencedirect.com/science/article/pii/S1674775523001555

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http://www.sciencedirect.com/science/article/pii/S1674775523001555

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