Data driven models for predicting pH of CO2 in aqueous solutions: Implications for CO2 sequestration

Data driven models for predicting pH of CO2 in aqueous solutions: Implications for CO2 sequestration

Changes in pH during CO2 injection into oceans can lead to significant negative environmental impacts, making it particularly important to track these changes. However, previous studies have not comprehensively investigated the development of machine learning models to estimate this parameter. To fi...

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Bibliographic Details
Main Authors: Mohammad Rasool Dehghani, Moein Kafi, Hamed Nikravesh, Maryam Aghel, Erfan Mohammadian, Yousef Kazemzadeh, Reza Azin
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Engineering
Subjects:
CO2 sequestration
pH prediction
Ocean
Machine learning
Optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024011447
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