Improved neural network model based on dung beetle algorithm to predict CO2-brine interfacial tension-Reference-Cited by-同舟云学术

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Improved neural network model based on dung beetle algorithm to predict CO2-brine interfacial tension

Published:2024-08 Issue: Volume:239 Page:212957
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Li Jia-Qi^ORCID,Bian Xiao-Qiang^ORCID,Chen Jing,Liu Yong-Bing,Matthews Aria

Publisher

Elsevier BV

Reference60 articles.

1. On the CO2 storage potential of cyclic CO2 injection process for enhanced oil recovery;Abedini;Fuel,2014

2. CO2/CaCl2 solution interfacial tensions under CO2 geological storage conditions: influence of cation valence on interfacial tension;Aggelopoulos;Adv. Water Resour.,2010

3. Interfacial tension between CO2 and brine (NaCl+CaCl2) at elevated pressures and temperatures: the additive effect of different salts;Aggelopoulos;Adv. Water Resour.,2011

4. Interfacial tension between water and high pressure CO2 in the presence of hydrocarbon surfactants;Akutsu;Fluid Phase Equil.,2007

5. Interfacial tension between CO2, freshwater, and brine in the range of pressure from (2 to 27) mpa, temperature from (20 to 125) °c, and water salinity from (0 to 334 000) mg·l−1;Bachu;J. Chem. Eng. Data,2009

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