Uncertainty Analysis of CO<sub>2</sub> Storage in Deep Saline Aquifers Using Machine Learning and Bayesian Optimization

Uncertainty Analysis of CO<sub>2</sub> Storage in Deep Saline Aquifers Using Machine Learning and Bayesian Optimization

Geological CO<sub>2</sub> sequestration (GCS) has been proposed as an effective approach to mitigate carbon emissions in the atmosphere. Uncertainty and sensitivity analysis of the fate of CO<sub>2</sub> dynamics and storage are essential aspects of large-scale reservoir simu...

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Bibliographic Details
Main Authors: Abdulwahab Alqahtani, Xupeng He, Bicheng Yan, Hussein Hoteit
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
reservoir simulation
geological CO<sub>2</sub> sequestration
Bayesian optimization
design of experiments
proxy modeling
machine learning
Online Access:https://www.mdpi.com/1996-1073/16/4/1684

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https://www.mdpi.com/1996-1073/16/4/1684

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