Optimization of Offshore Saline Aquifer CO<sub>2</sub> Storage in Smeaheia Using Surrogate Reservoir Models

Optimization of Offshore Saline Aquifer CO<sub>2</sub> Storage in Smeaheia Using Surrogate Reservoir Models

Machine learning-based Surrogate Reservoir Models (SRMs) can replace/augment multi-physics numerical simulations by replicating the reservoir simulation results with reduced computational effort while maintaining accuracy compared with numerical simulations. This research will demonstrate SRMs’ pote...

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Bibliographic Details
Main Authors: Behzad Amiri, Ashkan Jahanbani Ghahfarokhi, Vera Rocca, Cuthbert Shang Wui Ng
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Algorithms
Subjects:
geological carbon storage
surrogate reservoir model
artificial intelligence
deep learning
optimization
Online Access:https://www.mdpi.com/1999-4893/17/10/452
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