{"title":"Extended Søreide-Whitson equation of state for CO2-brine equilibrium using an ion-specific parameterisation","authors":"Sonja A.M. Smith, Erling H. Stenby, Wei Yan","doi":"10.1016/j.jgsce.2025.205684","DOIUrl":null,"url":null,"abstract":"<div><div>Carbon capture and storage (CCS) initiatives rely on understanding the behaviour of CO<sub>2</sub> in saline aquifers, where solubility trapping is a key mechanism. Experimental data, while critical for model validation, are resource-intensive to obtain. Thermodynamic models, such as the Søreide-Whitson framework, offer an efficient alternative for evaluating CO<sub>2</sub> solubility under reservoir conditions. In this work a generalised Søreide-Whitson model is presented to calculate the solubility of CO<sub>2</sub> in pure water and brine solutions on an ion-specific basis across a wide range of temperatures (273–473 K), pressures (up to 50 MPa), and salinities (up to 6 mol⋅kg<sup>−1</sup>). The updated model includes expressions for <span><math><mrow><mi>N</mi><msup><mi>a</mi><mo>+</mo></msup></mrow></math></span>, <span><math><mrow><msup><mi>K</mi><mo>+</mo></msup></mrow></math></span>, <span><math><mrow><msup><mtext>Mg</mtext><mrow><mn>2</mn><mo>+</mo></mrow></msup></mrow></math></span>, <span><math><mrow><msup><mtext>Ca</mtext><mrow><mn>2</mn><mo>+</mo></mrow></msup></mrow></math></span>, <span><math><mrow><msup><mtext>Cl</mtext><mo>−</mo></msup></mrow></math></span>, <span><math><mrow><msubsup><mtext>SO</mtext><mn>4</mn><mrow><mn>2</mn><mo>−</mo></mrow></msubsup></mrow></math></span>, and <span><math><mrow><msubsup><mtext>NO</mtext><mn>3</mn><mo>−</mo></msubsup></mrow></math></span>.</div><div>The modified model introduces generalised expressions for the α-function and phase-dependent binary interaction parameter <span><math><mrow><msubsup><mi>k</mi><mrow><mi>i</mi><mi>j</mi></mrow><mtext>AQ</mtext></msubsup></mrow></math></span> based on individual concentrations of ions rather than salts. This approach significantly improves the accuracy of CO<sub>2</sub> solubility predictions in brines containing multiple salts, as demonstrated through comparisons with experimental data. The generalised model maintains its robustness for mixed-salt brines and is readily implementable in simulation tools, expanding its applicability for CCS evaluations.</div></div>","PeriodicalId":100568,"journal":{"name":"Gas Science and Engineering","volume":"142 ","pages":"Article 205684"},"PeriodicalIF":5.5000,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gas Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949908925001487","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Carbon capture and storage (CCS) initiatives rely on understanding the behaviour of CO2 in saline aquifers, where solubility trapping is a key mechanism. Experimental data, while critical for model validation, are resource-intensive to obtain. Thermodynamic models, such as the Søreide-Whitson framework, offer an efficient alternative for evaluating CO2 solubility under reservoir conditions. In this work a generalised Søreide-Whitson model is presented to calculate the solubility of CO2 in pure water and brine solutions on an ion-specific basis across a wide range of temperatures (273–473 K), pressures (up to 50 MPa), and salinities (up to 6 mol⋅kg−1). The updated model includes expressions for , , , , , , and .
The modified model introduces generalised expressions for the α-function and phase-dependent binary interaction parameter based on individual concentrations of ions rather than salts. This approach significantly improves the accuracy of CO2 solubility predictions in brines containing multiple salts, as demonstrated through comparisons with experimental data. The generalised model maintains its robustness for mixed-salt brines and is readily implementable in simulation tools, expanding its applicability for CCS evaluations.