Upscaling Strategy to Simulate Permeability in a Carbonate Sample Using Machine Learning and 3D Printing

Upscaling Strategy to Simulate Permeability in a Carbonate Sample Using Machine Learning and 3D Printing

Characterizing heterogeneity is crucial to assess the variability of rock properties in carbonate reservoir samples. This work introduces an original multiscale approach to simulate permeability and porosity in heterogeneous carbonate samples using 3D X-ray computed tomography images. The main novel...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohamed Soufiane Jouini, Jorge Salgado Gomes, Moussa Tembely, Ezdeen Raed Ibrahim
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Machine learning
micro-computed tomography
permeability
upscaling
3D printing
Online Access:https://ieeexplore.ieee.org/document/9462922/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/9462922/

Similar Items