Volume change of CO2 + long-chain liquid n-alkane (with n ≥ 14) mixtures under geological storage conditions: An observed abrupt change near the critical point of CO2
文献类型:期刊论文
作者 | Bei, Ke3,4,5; Wang, Youyan3,5; Yang, Dan3,5; Shao, Qizhi3,5; Zheng, Xiangyong3,5; Zhao, Min3,5; Chou, I. -Ming2; Kikuchi, Jun4; Pan, Zhiyan1 |
刊名 | JOURNAL OF MOLECULAR LIQUIDS
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出版日期 | 2024-11-01 |
卷号 | 413页码:8 |
关键词 | Volume expansion High pressure optical cell Machine learning Raman spectroscopy Supercritical fluid CO2 + long-chain alkane |
ISSN号 | 0167-7322 |
DOI | 10.1016/j.molliq.2024.125827 |
英文摘要 | This study used a high pressure optical cell (HPOC) combined with a heating/cooling stage, a pressure device, and a laser Raman spectrometer to investigate the volume expansion (VE) of CO2 + tetradecane and CO2 + hexadecane mixtures under geological storage conditions. Abrupt changes in VE were observed near the CO2 critical point (CP), which is assumed to be ubiquitous in CO2 + long-chain alkane mixtures with >= 14 carbon alkanes. This is due to the critical anomaly of the thermodynamic behavior of the mixture near the CP of CO2, which inhibits the VE of CO2 + long-chain alkanes at lower temperatures. In addition, four machine learning (ML) algorithms, including backpropagation neural network (BPNN), K-nearest neighbors (KNN), random forest (RF), and support vector regression (SVR), were applied to predict the volume expansion factor (VEF). The BPNN model provided much higher robustness and accuracy with correlation coefficient (R-2) >0.98 and mean square error (MSE) <0.03, which indicates a strong agreement between the predicted result and matching experimental data. We concluded that a predictive framework built using ML could provide rapid predictions of the volume change curve or curved surface of CO2 + organic mixtures under various temperature and pressure conditions. |
WOS关键词 | SITU RAMAN-SPECTROSCOPY ; PHASE-EQUILIBRIA ; DISSOLUTION MECHANISM ; DISPERSION PROPERTY ; AQUEOUS-SOLUTIONS ; IMPROVED MODEL ; EXPANSION ; SOLUBILITY ; PREDICTION ; WATER |
资助项目 | Zhejiang Provincial Natural Science Foundation of China[LQ22D030001] ; National Key Research and Development Program of China[2019YFE0117200] ; National Natural Science Foundation of China[42130109] ; JSPS Postdoctoral Fellowship for Research in Japan[P22718] ; Japan Society for the Promotion of Science |
WOS研究方向 | Chemistry ; Physics |
语种 | 英语 |
WOS记录号 | WOS:001310893000001 |
出版者 | ELSEVIER |
资助机构 | Zhejiang Provincial Natural Science Foundation of China ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; JSPS Postdoctoral Fellowship for Research in Japan ; Japan Society for the Promotion of Science |
源URL | [http://ir.idsse.ac.cn/handle/183446/11374] ![]() |
专题 | 深海科学研究部_深海极端环境模拟研究实验室 |
通讯作者 | Kikuchi, Jun; Pan, Zhiyan |
作者单位 | 1.Zhejiang Univ Technol, Dept Environm Engn, Hangzhou 310032, Peoples R China 2.Chinese Acad Sci, Inst Deep Sea Sci & Engn, CAS Key Lab Expt Study Deep Sea Extreme Condit, Sanya 572000, Peoples R China 3.Natl & Local Joint Engn Res Ctr Ecol Treatment Tec, Wenzhou 325035, Zhejiang, Peoples R China 4.RIKEN, Ctr Sustainable Resource Sci, 1-7-22 Tsurumi Ku, Yokohama 2300045, Japan 5.Wenzhou Univ, Coll Life & Environm Sci, Wenzhou 325035, Peoples R China |
推荐引用方式 GB/T 7714 | Bei, Ke,Wang, Youyan,Yang, Dan,et al. Volume change of CO2 + long-chain liquid n-alkane (with n ≥ 14) mixtures under geological storage conditions: An observed abrupt change near the critical point of CO2[J]. JOURNAL OF MOLECULAR LIQUIDS,2024,413:8. |
APA | Bei, Ke.,Wang, Youyan.,Yang, Dan.,Shao, Qizhi.,Zheng, Xiangyong.,...&Pan, Zhiyan.(2024).Volume change of CO2 + long-chain liquid n-alkane (with n ≥ 14) mixtures under geological storage conditions: An observed abrupt change near the critical point of CO2.JOURNAL OF MOLECULAR LIQUIDS,413,8. |
MLA | Bei, Ke,et al."Volume change of CO2 + long-chain liquid n-alkane (with n ≥ 14) mixtures under geological storage conditions: An observed abrupt change near the critical point of CO2".JOURNAL OF MOLECULAR LIQUIDS 413(2024):8. |
入库方式: OAI收割
来源:深海科学与工程研究所
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