Developing a robust correlation for prediction of sweet and sour gas hydrate formation temperature

Petroleum - Tập 8 - Trang 204-209 - 2022
Mohammad Mesbah1, Samaneh Habibnia2, Shahin Ahmadi3,4, Amir Hossein Saeedi Dehaghani5, Sareh Bayat2
1Young Researchers and Elites Club, Science and Research Branch, Islamic Azad University, Tehran, Iran
2Department of Chemical Engineering, Sahand University of Technology, Tabriz, Iran
3Department of Environmental Health Engineering, Faculty of Environment Health Engineering, Zabol University of Medical Sciences, Zabol, Iran
4Department of Environmental Health Engineering, School of Public Health, Hamedan University of Medical Sciences, Hamedan, Iran
5Department of Petroleum Engineering, Faculty of Chemical Engineering, Tarbiat Modares University, Tehran, Iran

Tài liệu tham khảo

Demirbas, 2010, Methane hydrates as potential energy resource: part 2-methane production processes from gas hydrates, Energy Convers. Manag., vol. 51, 1562, 10.1016/j.enconman.2010.02.014 Qiao, 2018, Structural characterization of corn stover lignin after hydrogen peroxide presoaking prior to ammonia fiber expansion pretreatment, 32, 6022 Zhao, 2017, Application of hydrogen peroxide presoaking prior to ammonia fiber expansion pretreatment of energy crops, 205, 184 Zhao, 2020, Synergistic effect of hydrogen peroxide and ammonia on lignin, 146, 112177 Sloan, 2007 Carroll, 2014 Sun, 2003, Hydrate formation conditions of sour natural gases, J. Chem. Eng. Data, 48, 600, 10.1021/je020155h Soroush, 2015, Evolving a robust modeling tool for prediction of natural gas hydrate formation conditions, J. Unconv. Oil Gas Resour., 12, 45 Elgibaly, 1998, A new correlation for predicting hydrate formation conditions for various gas mixtures and inhibitors, Fluid Phase Equilib., 152, 23, 10.1016/S0378-3812(98)00368-9 Fu, 2020 Fu, 2019, Characterizing methane hydrate formation in the non-Newtonian fluid flowing system, 253, 474 Fu, 2020, Investigation of rheological properties of methane hydrate slurry with carboxmethylcellulose, 184, 106504 Fu, 2020, Methane hydrate formation in a water-continuous vertical flow loop with xanthan gum, 265, 116963 Sun, 2019 Bahadori, 2009, A novel correlation for estimation of hydrate forming condition of natural gases, J. Nat. Gas Chem., 18, 453, 10.1016/S1003-9953(08)60143-7 Baillie, 1987, Chart gives hydrate formation temperature for natural gas, Oil Gas J. (U. S.), 85 Berge, 1986, Hydrate predictions on a microcomputer, 10.2118/15306-MS Hammerschmidt, 1934, Formation of gas hydrates in natural gas transmission lines, Ind. Eng. Chem., 26, 851, 10.1021/ie50296a010 Katz, 1945, Prediction of conditions for hydrate formation in natural gases, Trans. AIME, 160, 140, 10.2118/945140-G Kobayashi, 1987 Makogon, 1981 Mann, 1988 Motiee, 1991, Estimate possibility of hydrates, Hydrocarb. Process., 70, 98 Towler, 2005, Quickly estimate hydrate formation conditions in natural gases, Hydrocarb. Process., 84, 61 Wilcox, 1941, Natural gas hydrates, Ind. Eng. Chem., 33, 662, 10.1021/ie50377a027 Ng, 1976, The measurement and prediction of hydrate formation in liquid hydrocarbon-water systems, Ind. Eng. Chem. Fundam., 15, 293, 10.1021/i160060a012 Parrish, 1972, Dissociation pressures of gas hydrates formed by gas mixtures, Ind. Eng. Chem. Process Des. Dev., 11, 26, 10.1021/i260041a006 Carroll, 2009 Sun, 2005, Modelling the hydrate formation condition for sour gas and mixtures, Chem. Eng. Sci., 60, 4879, 10.1016/j.ces.2005.04.013 Chen, 1996, Thermodynamic modeling of hydrate formation based on new concepts, Fluid Phase Equilib., 122, 43, 10.1016/0378-3812(96)03032-4 Chen, 1998, A new approach to gas hydrate modelling, Chem. Eng. J., 71, 145, 10.1016/S1385-8947(98)00126-0 Abbasi, 2015, Particle swarm optimization based empirical correlation for prediction of hydrate formation in deep-water pipeline Hemmati-Sarapardeh, 2017, Modeling interfacial tension and minimum miscibility pressure in paraffin-nitrogen systems: application to gas injection processes, Fuel, 205, 80, 10.1016/j.fuel.2017.05.035 Ibrahim, 2016, Prediction of gas hydrate formation using radial basis function network and support vector machines Mesbah, 2018, Accurate prediction of miscibility of CO2 and supercritical CO2 in ionic liquids using machine learning, J. CO2 Util., 25, 99, 10.1016/j.jcou.2018.03.004 Mesbah, 2020, Rigorous correlations for predicting the solubility of H2S in methylimidazolium-based ionic liquids, Can. J. Chem. Eng., 98, 441, 10.1002/cjce.23604 Mesbah, 2014, Prediction of phase equilibrium of CO2/cyclic compound binary mixtures using a rigorous modeling approach, J. Supercrit. Fluids, 90, 110, 10.1016/j.supflu.2014.03.009 Zahedi, 2009, Prediction of hydrate formation temperature by both statistical models and artificial neural network approaches, Energy Convers. Manag., 50, 2052, 10.1016/j.enconman.2009.04.005 Ivakhnenko, 1971, Polynomial theory of complex systems, IEEE Trans. Syst. Man Cybern., 364, 10.1109/TSMC.1971.4308320 Adisasmito, 1991, Hydrates of carbon dioxide and methane mixtures, J. Chem. Eng. Data, 36, 68, 10.1021/je00001a020 Deaton, 1946 Kamari, 2012, Experimental determination of hydrate phase equilibrium curve for an Iranian sour gas condensate sample, J. Nat. Gas Sci. Eng., 9, 11, 10.1016/j.jngse.2012.05.004 Kobayashi, 1951, Gas hydrate formation with brine and ethanol solutions McLeod, 1961, Natural gas hydrates at pressures to 10,000 psia, J. Petrol. Technol., 13, 590, 10.2118/1566-G-PA Mohammadi, 2015, Hydrate phase equilibria of gaseous mixtures of methane+ carbon dioxide+ hydrogen sulfide, Chem. Eng. Commun., 202, 629, 10.1080/00986445.2013.858322 Noaker, 1954, vol. 201, 237 Robinson, 1971, Hydrate formation systems containing methane, hydrogen sulphide and carbon dioxide, J. Can. Pet. Technol., 10, 33 Seo, 2001, Hydrate phase equilibria of the carbon dioxide, methane, and water system, J. Chem. Eng. Data, 46, 381, 10.1021/je000237a Ward, 2014, Equilibrium data of gas hydrates containing methane, propane, and hydrogen sulfide, J. Chem. Eng. Data, 60, 424, 10.1021/je5007423 Rostami, 2019, Modeling heat capacity of ionic liquids using group method of data handling: a hybrid and structure-based approach, Int. J. Heat Mass Trans., 129, 7, 10.1016/j.ijheatmasstransfer.2018.09.057 Atashrouz, 2015, Modeling of surface tension for ionic liquids using group method of data handling, Ionics, 21, 1595, 10.1007/s11581-014-1347-1 Nelder, 1965, A simplex method for function minimization, Comput. J., 7, 308, 10.1093/comjnl/7.4.308 Jeffrey, 1967, The clathrate hydrates, Prog Inorg. Chem., 43 Soroush, 2014, Prediction of methane uptake on different adsorbents in adsorbed natural gas technology using a rigorous model, Energy Fuels, 28, 6299, 10.1021/ef501550p