Accurate prediction of carbon monoxide in aqueous solutions for geological sequestration applications

Accurate prediction of solubilities in aqueous solutions is crucial for the geological sequestration of carbon monoxide (CO). This study utilizes the electrolyte version of the Cubic-Plus-Association (CPA) Equation of State to calculate the saturated properties including saturated vapor pressure, saturated liquid-phase density, and saturated vapor-phase density of pure CO, its solubilities in pure water, and its solubilities in aqueous sodium chloride solutions. The model accuracy is validated against experimental data, showing relative average deviations within 3.0% for saturated liquid-phase density, within 1.0% for both saturated vapor pressure and saturated vapor-phase density, 4.7% for CO solubilities in pure water, and 1.3% for CO solubilities in aqueous sodium chloride solutions. This work not only analyzes the phase behavior of CO in aqueous solutions but also provides an in-depth discussion on the dissolution mechanisms of CO in these solutions. The results demonstrate that the electrolyte version of the CPA Equation of State is a robust model capable of accurately predicting CO solubilities and the complex phase behavior of CO in aqueous solutions across a wide range of temperatures, pressures, and salt concentrations. • Accurate prediction of carbon monoxide solubilities in pure water and aqueous sodium chloride solutions. • Exploration of dissolution mechanisms of carbon monoxide in aqueous solutions. • Comprehensive analysis of factors affecting carbon monoxide solubility. • Validation of model accuracy against experimental data, demonstrating high reliability and precision.

Authors

Institutions

Publication Details

Journal
Applied Geochemistry
Published
2025-05-08
DOI
https://doi.org/10.1016/j.apgeochem.2025.106414
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accurate prediction of carbon monoxide in aqueous solutions for geological sequestration applications

Li Sun, Jierong Liang
Applied Geochemistry
Hydrocarbon exploration and reservoir analysis
article

Accurate prediction of carbon monoxide in aqueous solutions for geological sequestration applications

Li Sun, Jierong Liang
article en

Abstract

Accurate prediction of solubilities in aqueous solutions is crucial for the geological sequestration of carbon monoxide (CO). This study utilizes the electrolyte version of the Cubic-Plus-Association (CPA) Equation of State to calculate the saturated properties including saturated vapor pressure, saturated liquid-phase density, and saturated vapor-phase density of pure CO, its solubilities in pure water, and its solubilities in aqueous sodium chloride solutions. The model accuracy is validated against experimental data, showing relative average deviations within 3.0% for saturated liquid-phase density, within 1.0% for both saturated vapor pressure and saturated vapor-phase density, 4.7% for CO solubilities in pure water, and 1.3% for CO solubilities in aqueous sodium chloride solutions. This work not only analyzes the phase behavior of CO in aqueous solutions but also provides an in-depth discussion on the dissolution mechanisms of CO in these solutions. The results demonstrate that the electrolyte version of the CPA Equation of State is a robust model capable of accurately predicting CO solubilities and the complex phase behavior of CO in aqueous solutions across a wide range of temperatures, pressures, and salt concentrations. • Accurate prediction of carbon monoxide solubilities in pure water and aqueous sodium chloride solutions. • Exploration of dissolution mechanisms of carbon monoxide in aqueous solutions. • Comprehensive analysis of factors affecting carbon monoxide solubility. • Validation of model accuracy against experimental data, demonstrating high reliability and precision.

Applied GeochemistryVol. 187
Hohai University (CN), Helmholtz-Zentrum Dresden-Rossendorf (DE), Shanghai Ocean University (CN)
Openalex Percentile: Top 89%
Hydrocarbon exploration and reservoir analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Accurate prediction of carbon monoxide in aqueous solutions for geological sequestration applications — Li Sun, Jierong Liang · Applied Geochemistry (2025) | TGRS Research Map | TGRS