Sheng, J. J. Enhanced Oil Recovery Field Case Studies (Gulf Professional Publishing, 2013).

Google Scholar

Thomas, S. Enhanced oil recoveryan overview. Oil Gas Sci. Technol. Rev. lIFP 63, 919 (2008).

Article CAS Google Scholar

Divandari, H., Amiri-Ramsheh, B. & Zabihi, R. Steam flooding (steam drive). Thermal Methods 20, 47 (2023).

Article Google Scholar

Soleimani, R. et al. Evolving an accurate decision tree-based model for predicting carbon dioxide solubility in polymers. Chem. Eng. Technol. 43, 514522 (2020).

Article CAS Google Scholar

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).

Article CAS Google Scholar

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).

Article CAS PubMed PubMed Central Google Scholar

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).

Article ADS CAS Google Scholar

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).

Article ADS Google Scholar

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).

Article CAS Google Scholar

Ru-Ting, X. & Xing-Yuan, H. Predictive calculation of carbon dioxide solubility in polymers. RSC Adv. 5, 7697976986 (2015).

Article ADS Google Scholar

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).

Article CAS Google Scholar

Quan, S. et al. A bio-inspired CO2-philic network membrane for enhanced sustainable gas separation. J. Mater. Chem. A 3, 1375813766 (2015).

Article CAS Google Scholar

Han, X. & Poliakoff, M. Continuous reactions in supercritical carbon dioxide: Problems, solutions and possible ways forward. Chem. Soc. Rev. 41, 14281436 (2012).

Article CAS PubMed Google Scholar

Chandra, R. & Rustgi, R. Biodegradable polymers. Prog. Polym. Sci. 23, 12731335 (1998).

Article CAS Google Scholar

Sato, Y. et al. Solubility and diffusion coefficient of carbon dioxide in biodegradable polymers. Ind. Eng. Chem. Res. 39, 48134819 (2000).

Article CAS Google Scholar

Nishioka, M., Tuzuki, T., Wanajyo, Y., Oonami, H. & Horiuchi, T. Studies in Polymer Science Vol 12, 584590 (Elsevier, 1994).

Google Scholar

Yampolskii, Y. & Paterson, R. Solubility of gases in polymers. Exp. Determin. Solubil. 6, 151171 (2003).

CAS Google Scholar

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).

Article ADS CAS Google Scholar

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).

Article CAS Google Scholar

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).

Article CAS Google Scholar

Aubert, J. H. Solubility of carbon dioxide in polymers by the quartz crystal microbalance technique. J. Supercrit. Fluids 11, 163172 (1998).

Article CAS Google Scholar

Webb, K. F. & Teja, A. S. Solubility and diffusion of carbon dioxide in polymers. Fluid Phase Equilib. 158, 10291034 (1999).

Article Google Scholar

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).

Article CAS Google Scholar

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).

Article ADS CAS Google Scholar

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).

Article CAS Google Scholar

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).

Article CAS Google Scholar

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).

Article Google Scholar

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).

Article CAS Google Scholar

Li, G., Li, H., Turng, L., Gong, S. & Zhang, C. Measurement of gas solubility and diffusivity in polylactide. Fluid Phase Equilib. 246, 158166 (2006).

Article CAS Google Scholar

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).

Article CAS Google Scholar

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).

Article Google Scholar

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).

Article CAS PubMed Google Scholar

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).

Article CAS Google Scholar

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).

Article CAS Google Scholar

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).

Article ADS Google Scholar

Li, M. et al. Models for the solubility calculation of a CO2/polymer system: A review. Mater. Today Commun. 25, 101277 (2020).

Article CAS Google Scholar

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).

Article CAS Google Scholar

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).

Article CAS Google Scholar

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).

Article CAS Google Scholar

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).

Article CAS Google Scholar

Ferreira, C. Gene expression programming: A new adaptive algorithm for solving problems. arXiv preprint cs/0102027 (2001).

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).

Google Scholar

Zhong, J., Feng, L. & Ong, Y.-S. Gene expression programming: A survey. IEEE Comput. Intell. Mag. 12, 5472 (2017).

Article Google Scholar

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).

Article Google Scholar

Amar, M. N. Prediction of hydrate formation temperature using gene expression programming. J. Nat. Gas Sci. Eng. 89, 103879 (2021).

Article Google Scholar

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).

Article Google Scholar

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).

Article Google Scholar

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).

Article CAS Google Scholar

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).

Article CAS Google Scholar

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).

Article Google Scholar

Sarapardeh, A. H., Larestani, A., Menad, N. A. & Hajirezaie, S. Applications of Artificial Intelligence Techniques in the Petroleum Industry (Gulf Professional Publishing, 2020).

View post:

On the evaluation of the carbon dioxide solubility in polymers using ... - Nature.com