Literature DB >> 27992207

Predicting CO2-H2O Interfacial Tension Using COSMO-RS.

A Silvestri1, S L S Stipp1, M P Andersson1.   

Abstract

Knowledge about the interaction between fluids and solids and the interfacial tension (IFT) that results is important for predicting behavior and properties in industrial systems and in nature, such as in rock formations before, during, and after CO2 injection for long-term storage. Many authors have studied the effect of the environmental variables on the IFT in the CO2-H2O system. However, experimental measurements above CO2 supercritical conditions are scarce and sometimes contradictory. Molecular modeling is a valuable tool for complementing experimental IFT determination, and it can help us interpret results and gain insight under conditions where experiments are difficult or impossible. Here, we report predictions for CO2-water interfacial tension performed using density functional theory (DFT) combined with the COSMO-RS implicit solvent model. We predicted the IFT dependence as a function of pressure (0-50 MPa), temperature (273-383 K), and salinity (0-5 M NaCl). The results agree well with literature data, within the estimated uncertainty for experiments and for molecular dynamics (MD) simulations, suggesting that the model can be used as a fast alternative to time-consuming computational approaches for predicting the CO2-water IFT over a range of pressures, temperatures, and salinities.

Entities:  

Year:  2017        PMID: 27992207     DOI: 10.1021/acs.jctc.6b00818

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  2 in total

1.  Comparative Analysis of Four Neural Network Models on the Estimation of CO2-Brine Interfacial Tension.

Authors:  Xiaojie Liu; Meiheriayi Mutailipu; Jiafei Zhao; Yu Liu
Journal:  ACS Omega       Date:  2021-02-02

2.  Unstable, Super Critical CO2-Water Displacement in Fine Grained Porous Media under Geologic Carbon Sequestration Conditions.

Authors:  R Gooya; A Silvestri; A Moaddel; M P Andersson; S L S Stipp; H O Sørensen
Journal:  Sci Rep       Date:  2019-08-02       Impact factor: 4.379

  2 in total

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