Comparative Analysis of Four Neural Network Models on the Estimation of CO2–Brine Interfacial Tension-Reference-Cited by-同舟云学术

Comparative Analysis of Four Neural Network Models on the Estimation of CO2–Brine Interfacial Tension

Published:2021-02-02 Issue:6 Volume:6 Page:4282-4288
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Liu Xiaojie¹^ORCID,Mutailipu Meiheriayi¹,Zhao Jiafei¹^ORCID,Liu Yu¹^ORCID

Affiliation:

1. Key Laboratory of Ocean Energy Utilization and Energy Conservation of the Ministry of Education, Dalian University of Technology, Dalian 116024, China

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.0c05290

Reference39 articles.

1. IEA. Global Energy & CO2 Status Report, 2019. https://www.iea.org/reports/global-energy-co2-status-report-2019.

2. Storage of Carbon Dioxide in Geologic Formations

3. Data-driven modeling of interfacial tension in impure CO2-brine systems with implications for geological carbon storage

4. Estimation of CO2–brine interfacial tension using an artificial neural network

5. CO2/CaCl2 solution interfacial tensions under CO2 geological storage conditions: Influence of cation valence on interfacial tension

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