Stacked ensemble machine learning for porosity and absolute permeability prediction of carbonate rock plugs

This study employs a stacked ensemble machine learning approach to predict carbonate rocks' porosity and absolute permeability with various pore-throat distributions and heterogeneity. Our dataset consists of 2D slices from 3D micro-CT images of four carbonate core samples. The stacking ensembl...

Descripción completa

Detalles Bibliográficos
Autores principales: Kalule, Ramanzani, Abderrahmane, Hamid Ait, Alameri, Waleed, Sassi, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276879/
https://www.ncbi.nlm.nih.gov/pubmed/37330558
http://dx.doi.org/10.1038/s41598-023-36096-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276879/
https://www.ncbi.nlm.nih.gov/pubmed/37330558
http://dx.doi.org/10.1038/s41598-023-36096-2

Ejemplares similares