石油与天然气化工2025，Vol.54Issue(2)：51-61,11.DOI:10.3969/j.issn.1007-3426.2025.02.008
基于机理分析与数据驱动的CO2溶解度计算方法
Calculation method of CO2 solubility based on mechanism analysis and data driven
摘要
Abstract
Objective In the context of the development of carbon capture and storage technology,in order to more efficiently and accurately calculate the solubility of carbon dioxide(CO2)in water,both mechanism analysis-based and data-driven methods for calculating the solubility of CO2 in water are explored,respectively.Method Firstly,based on public literature,2 029 sets of solubility data of CO2 in water under different temperature and pressure conditions were collected and organized,and a relevant database was established.Subsequently,the classic Henry's law was revised using the database,and the influence of pressure on the formation of hydrates in the hydrate formation region was considered during the revision.Finally,a data-driven model was established based on BP neural network to calculate the solubility of CO2 in water.In the process of establishing the data-driven model,relative error was used as the model evaluation index,and temperature,pressure,and mineralization were selected as input variables.Result The average relative error of the calculated results when the pressure is below 15 MPa after the correction of Henry's Law is 25.29%,a decrease of 27.11 percentage points compared to before the correction;the average relative error of the calculated results when the pressure is higher than 15 MPa is 29.49%,which has decreased by 91.86 percentage points compared to before correction.The average relative error of the data-driven model has been reduced to 20.64%,and the calculated results are more accurate than the modified Henry's Law.Conclusion A simple,effective,and more accurate calculation method for the solubility of CO2 in water has been proposed,which can provide an important reference for calculating the solubility of CO2 in water in engineering.关键词
碳排放/CO2/溶解度/亨利定律/BP神经网络Key words
carbon emission/carbon dioxide(CO2)/solubility/Henry's law/BP neural network引用本文复制引用
阎凤元,雷海申,王睿,郭俊垚,林炬,李金许,张雷,史博会,宋尚飞..基于机理分析与数据驱动的CO2溶解度计算方法[J].石油与天然气化工,2025,54(2):51-61,11.基金项目
国家自然科学基金"裹挟粉砂的水基流动体系中CO2-CH4水合物分解动力学机制"(52104069) （52104069）
北京市自然科学基金"深水油气混输管道中赋存蜡的水合物生成传热传质机制研究"(3192027) （3192027）
中国石油大学(北京)科学基金"天然气水合物开发过程中水合物分解动力学机理研究"(2462023BJRC018) （北京）
中国石油大学(北京)科学基金"基于大数据的天然气管网智能运行与控制研究"(2462020YXZZ045) （北京）
