Sheng, J. J. Enhanced Oil Recovery Field Case Studies (Gulf Professional Publishing, 2013). <\/p>\n
Google Scholar <\/p>\n
Thomas, S. Enhanced oil recoveryan overview. Oil Gas Sci. Technol. Rev. lIFP 63, 919 (2008). <\/p>\n
Article CAS Google Scholar <\/p>\n
Divandari, H., Amiri-Ramsheh, B. & Zabihi, R. Steam flooding (steam drive). Thermal Methods 20, 47 (2023). <\/p>\n
Article Google Scholar <\/p>\n
Soleimani, R. et al. Evolving an accurate decision tree-based model for predicting carbon dioxide solubility in polymers. Chem. Eng. Technol. 43, 514522 (2020). <\/p>\n
Article CAS Google Scholar <\/p>\n
Li, D.-C., Liu, T., Zhao, L. & Yuan, W.-K. Solubility and diffusivity of carbon dioxide in solid-state isotactic polypropylene by the pressure-decay method. Ind. Eng. Chem. Res. 48, 71177124 (2009). <\/p>\n
Article CAS Google Scholar <\/p>\n
Zheng, H., Mahmoudzadeh, A., Amiri-Ramsheh, B. & Hemmati-Sarapardeh, A. Modeling viscosity of CO2N2 gaseous mixtures using robust tree-based techniques: Extra tree, random forest, GBoost, and LightGBM. ACS Omega 8, 1386313875 (2023). <\/p>\n
Article CAS PubMed PubMed Central Google Scholar <\/p>\n
Li, M. et al. Solubility prediction of supercritical carbon dioxide in 10 polymers using radial basis function artificial neural network based on chaotic self-adaptive particle swarm optimization and K-harmonic means. RSC Adv. 5, 4552045527 (2015). <\/p>\n
Article ADS CAS Google Scholar <\/p>\n
Mengshan, L. et al. Prediction of supercritical carbon dioxide solubility in polymers based on hybrid artificial intelligence method integrated with the diffusion theory. RSC Adv. 7, 4981749827 (2017). <\/p>\n
Article ADS Google Scholar <\/p>\n
Nalawade, S. P., Picchioni, F. & Janssen, L. Supercritical carbon dioxide as a green solvent for processing polymer melts: Processing aspects and applications. Prog. Polym. Sci. 31, 1943 (2006). <\/p>\n
Article CAS Google Scholar <\/p>\n
Ru-Ting, X. & Xing-Yuan, H. Predictive calculation of carbon dioxide solubility in polymers. RSC Adv. 5, 7697976986 (2015). <\/p>\n
Article ADS Google Scholar <\/p>\n
Zhang, Q., Vanparijs, N., Louage, B., De Geest, B. G. & Hoogenboom, R. Dual pH-and temperature-responsive RAFT-based block co-polymer micelles and polymerprotein conjugates with transient solubility. Polym. Chem. 5, 11401144 (2014). <\/p>\n
Article CAS Google Scholar <\/p>\n
Quan, S. et al. A bio-inspired CO2-philic network membrane for enhanced sustainable gas separation. J. Mater. Chem. A 3, 1375813766 (2015). <\/p>\n
Article CAS Google Scholar <\/p>\n
Han, X. & Poliakoff, M. Continuous reactions in supercritical carbon dioxide: Problems, solutions and possible ways forward. Chem. Soc. Rev. 41, 14281436 (2012). <\/p>\n
Article CAS PubMed Google Scholar <\/p>\n
Chandra, R. & Rustgi, R. Biodegradable polymers. Prog. Polym. Sci. 23, 12731335 (1998). <\/p>\n
Article CAS Google Scholar <\/p>\n
Sato, Y. et al. Solubility and diffusion coefficient of carbon dioxide in biodegradable polymers. Ind. Eng. Chem. Res. 39, 48134819 (2000). <\/p>\n
Article CAS Google Scholar <\/p>\n
Nishioka, M., Tuzuki, T., Wanajyo, Y., Oonami, H. & Horiuchi, T. Studies in Polymer Science Vol 12, 584590 (Elsevier, 1994). <\/p>\n
Google Scholar <\/p>\n
Yampolskii, Y. & Paterson, R. Solubility of gases in polymers. Exp. Determin. Solubil. 6, 151171 (2003). <\/p>\n
CAS Google Scholar <\/p>\n
Shah, V., Hardy, B. & Stern, S. Solubility of carbon dioxide, methane, and propane in silicone polymers. Effect of polymer backbone chains. J. Polym. Sci. Part B Polym. Phys. 31, 313317 (1993). <\/p>\n
Article ADS CAS Google Scholar <\/p>\n
Li, Y.-G. & Mather, A. E. Correlation and prediction of the solubility of carbon dioxide in a mixed alkanolamine solution. Ind. Eng. Chem. Res. 33, 20062015 (1994). <\/p>\n
Article CAS Google Scholar <\/p>\n
Sato, Y., Yurugi, M., Fujiwara, K., Takishima, S. & Masuoka, H. Solubilities of carbon dioxide and nitrogen in polystyrene under high temperature and pressure. Fluid Phase Equilib. 125, 129138 (1996). <\/p>\n
Article CAS Google Scholar <\/p>\n
Aubert, J. H. Solubility of carbon dioxide in polymers by the quartz crystal microbalance technique. J. Supercrit. Fluids 11, 163172 (1998). <\/p>\n
Article CAS Google Scholar <\/p>\n
Webb, K. F. & Teja, A. S. Solubility and diffusion of carbon dioxide in polymers. Fluid Phase Equilib. 158, 10291034 (1999). <\/p>\n
Article Google Scholar <\/p>\n
Sato, Y., Fujiwara, K., Takikawa, T., Takishima, S. & Masuoka, H. Solubilities and diffusion coefficients of carbon dioxide and nitrogen in polypropylene, high-density polyethylene, and polystyrene under high pressures and temperatures. Fluid Phase Equilib. 162, 261276 (1999). <\/p>\n
Article CAS Google Scholar <\/p>\n
Hilic, S., Boyer, S. A., Pdua, A. A. & Grolier, J. P. E. Simultaneous measurement of the solubility of nitrogen and carbon dioxide in polystyrene and of the associated polymer swelling. J. Polym. Sci. Part B Polym. Phys. 39, 20632070 (2001). <\/p>\n
Article ADS CAS Google Scholar <\/p>\n
Sato, Y., Takikawa, T., Takishima, S. & Masuoka, H. Solubilities and diffusion coefficients of carbon dioxide in poly (vinyl acetate) and polystyrene. J. Supercrit. Fluids 19, 187198 (2001). <\/p>\n
Article CAS Google Scholar <\/p>\n
Park, S. H., Lee, K. B., Hyun, J. C. & Kim, S. H. Correlation and prediction of the solubility of carbon dioxide in aqueous alkanolamine and mixed alkanolamine solutions. Ind. Eng. Chem. Res. 41, 16581665 (2002). <\/p>\n
Article CAS Google Scholar <\/p>\n
Sato, Y., Takikawa, T., Yamane, M., Takishima, S. & Masuoka, H. Solubility of carbon dioxide in PPO and PPO\/PS blends. Fluid Phase Equilib. 194, 847858 (2002). <\/p>\n
Article Google Scholar <\/p>\n
Hamedi, M., Muralidharan, V., Lee, B. & Danner, R. P. Prediction of carbon dioxide solubility in polymers based on a group-contribution equation of state. Fluid Phase Equilib. 204, 4153 (2003). <\/p>\n
Article CAS Google Scholar <\/p>\n
Li, G., Li, H., Turng, L., Gong, S. & Zhang, C. Measurement of gas solubility and diffusivity in polylactide. Fluid Phase Equilib. 246, 158166 (2006). <\/p>\n
Article CAS Google Scholar <\/p>\n
Lei, Z., Ohyabu, H., Sato, Y., Inomata, H. & Smith, R. L. Jr. Solubility, swelling degree and crystallinity of carbon dioxidepolypropylene system. J. Supercrit. Fluids 40, 452461 (2007). <\/p>\n
Article CAS Google Scholar <\/p>\n
Khajeh, A., Modarress, H. & Rezaee, B. Application of adaptive neuro-fuzzy inference system for solubility prediction of carbon dioxide in polymers. Expert Syst. Appl. 36, 57285732 (2009). <\/p>\n
Article Google Scholar <\/p>\n
Xu, M., Chen, J., Zhang, C., Du, Z. & Mi, J. A theoretical study of structuresolubility correlations of carbon dioxide in polymers containing ether and carbonyl groups. Phys. Chem. Chem. Phys. 13, 2108421092 (2011). <\/p>\n
Article CAS PubMed Google Scholar <\/p>\n
Li, M. et al. Prediction of gas solubility in polymers by back propagation artificial neural network based on self-adaptive particle swarm optimization algorithm and chaos theory. Fluid Phase Equilib. 356, 1117 (2013). <\/p>\n
Article CAS Google Scholar <\/p>\n
Minelli, M. & Sarti, G. C. Permeability and solubility of carbon dioxide in different glassy polymer systems with and without plasticization. J. Membr. Sci. 444, 429439 (2013). <\/p>\n
Article CAS Google Scholar <\/p>\n
Mengshan, L., Wei, W., Bingsheng, C., Yan, W. & Xingyuan, H. Solubility prediction of gases in polymers based on an artificial neural network: A review. RSC Adv. 7, 3527435282 (2017). <\/p>\n
Article ADS Google Scholar <\/p>\n
Li, M. et al. Models for the solubility calculation of a CO2\/polymer system: A review. Mater. Today Commun. 25, 101277 (2020). <\/p>\n
Article CAS Google Scholar <\/p>\n
Sun, X. et al. Experiments and modeling of CO2 solubility in water-based and oil-based drilling fluids. J. Petrol. Sci. Eng. 212, 110336 (2022). <\/p>\n
Article CAS Google Scholar <\/p>\n
Ushiki, I., Kawashima, H., Kihara, S.-I. & Takishima, S. Solubility and diffusivity of supercritical CO2 for polycaprolactone in its molten state: Measurement and modeling using PC-SAFT and free volume theory. J. Supercrit. Fluids 181, 105499 (2022). <\/p>\n
Article CAS Google Scholar <\/p>\n
Kiran, E., Sarver, J. A. & Hassler, J. C. Solubility and diffusivity of CO2 and N2 in polymers and polymer swelling, glass transition, melting, and crystallization at high pressure: A critical review and perspectives on experimental methods, data, and modeling. J. Supercrit. Fluids 185, 105378 (2022). <\/p>\n
Article CAS Google Scholar <\/p>\n
Ricci, E., De Angelis, M. G. & Minelli, M. A comprehensive theoretical framework for the sub and supercritical sorption and transport of CO2 in polymers. Chem. Eng. J. 435, 135013 (2022). <\/p>\n
Article CAS Google Scholar <\/p>\n
Ferreira, C. Gene expression programming: A new adaptive algorithm for solving problems. arXiv preprint cs\/0102027 (2001). <\/p>\n
Umar, A. A., Saaid, I. M., Sulaimon, A. A. & Pilus, R. M. Predicting the viscosity of petroleum emulsions using gene expression programming (GEP) and response surface methodology (RSM). J. Appl. Math. 20, 20 (2020). <\/p>\n
Google Scholar <\/p>\n
Zhong, J., Feng, L. & Ong, Y.-S. Gene expression programming: A survey. IEEE Comput. Intell. Mag. 12, 5472 (2017). <\/p>\n
Article Google Scholar <\/p>\n
Amar, M. N., Larestani, A., Lv, Q., Zhou, T. & Hemmati-Sarapardeh, A. Modeling of methane adsorption capacity in shale gas formations using white-box supervised machine learning techniques. J. Petrol. Sci. Eng. 208, 109226 (2022). <\/p>\n
Article Google Scholar <\/p>\n
Amar, M. N. Prediction of hydrate formation temperature using gene expression programming. J. Nat. Gas Sci. Eng. 89, 103879 (2021). <\/p>\n
Article Google Scholar <\/p>\n
Amar, M. N., Ghriga, M. A., Seghier, M. E. A. B. & Ouaer, H. Predicting solubility of nitrous oxide in ionic liquids using machine learning techniques and gene expression programming. J. Taiwan Inst. Chem. Eng. 128, 156168 (2021). <\/p>\n
Article Google Scholar <\/p>\n
Baniasadi, H., Kamari, A., Heidararabi, S., Mohammadi, A. H. & Hemmati-Sarapardeh, A. Rapid method for the determination of solution gas-oil ratios of petroleum reservoir fluids. J. Nat. Gas Sci. Eng. 24, 500509 (2015). <\/p>\n
Article Google Scholar <\/p>\n
Rostami, A., Arabloo, M., Kamari, A. & Mohammadi, A. H. Modeling of CO2 solubility in crude oil during carbon dioxide enhanced oil recovery using gene expression programming. Fuel 210, 768782 (2017). <\/p>\n
Article CAS Google Scholar <\/p>\n
Mirzaie, M. & Tatar, A. Modeling of interfacial tension in binary mixtures of CH4, CO2, and N2-alkanes using gene expression programming and equation of state. J. Mol. Liq. 320, 114454 (2020). <\/p>\n
Article CAS Google Scholar <\/p>\n
Traore, S., Luo, Y. & Fipps, G. Gene-expression programming for short-term forecasting of daily reference evapotranspiration using public weather forecast information. Water Resour. Manage 31, 48914908 (2017). <\/p>\n
Article Google Scholar <\/p>\n
Sarapardeh, A. H., Larestani, A., Menad, N. A. & Hajirezaie, S. Applications of Artificial Intelligence Techniques in the Petroleum Industry (Gulf Professional Publishing, 2020). <\/p>\n
<\/p>\n
View post: <\/p>\n
On the evaluation of the carbon dioxide solubility in polymers using ... - Nature.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Sheng, J. J Continue reading