Assessment of correlations and simulation software to calculate phase diagrams of pre-salt fluids

References

• Allahyarzadeh-Bidgoli, A. 2018. Simulation and optimization of primary oil and gas processing plant of FPSO operating in pre-salt oil field. Doctoral dissertation. doi:10.11606/T.3.2018.tde-13122018-150547.
   Google Scholar
• Allahyarzadeh-Bidgoli, A., D. J. Dezan, L. O. Salviano, S. de Oliveira Junior, and J. I. Yanagihara. 2020. Lifetime sensitivity analysis of FPSO operating parameters on energy consumption and overall oil production in a pre-salt oil field. Chemical Engineering Communications 207 (11): 1483–1507. doi:10.1080/00986445.2019.1659247.
   Web of Science ®Google Scholar
• Allahyarzadeh-Bidgoli, A., D. J. Dezan, L. O. Salviano, S. de Oliveira Junior, and J. I. Yanagihara. 2019. FPSO fuel consumption and hydrocarbon liquids recovery optimization over the lifetime of a deep-water oil field. Energy 181:927–942. doi:10.1016/j.energy.2019.05.146.
   Web of Science ®Google Scholar
• Allahyarzadeh-Bidgoli, A., L. O. Salviano, D. J. Dezan, S. de Oliveira Junior, and J. I. Yanagihara. 2018. Energy optimization of an FPSO operating in the Brazilian Pre-salt region. Energy 164:390–9. doi:10.1016/j.energy.2018.08.203.
   Web of Science ®Google Scholar
• Ambrose, D., and C. Tsonopoulos. 1995. Vapor-liquid critical properties of elements and compounds. 2. Normal alkanes. Journal of Chemical & Engineering Data 40 (3):531–46. doi:10.1021/je00019a001.
   Web of Science ®Google Scholar
• Aspen. 2016. Aspen HYSYS 9.0 user’s guide. Cambridge, MA: Aspen Technology.
   Google Scholar
• Bidgoli, A. A., D. J. Dezan, and J. I. Yanagihara. 2020. COP optimization of propane pre-cooling cycle by optimal Fin design of heat exchangers: Efficiency and sustainability improvement. Journal of Cleaner Production 271:122585. doi:10.1016/j.jclepro.2020.122585.
   Web of Science ®Google Scholar
• Carranza-Sánchez, Y. A. 2017. Exergy and environmental assessment of FPSO offshore platforms with CO2 capture and storage. Doctoral dissertation. http://www.teses.usp.br/teses/disponiveis/3/3150/tde-26062017-140458/en.php.
   Google Scholar
• Cavett, R. H. 1962. Physical data for distillation calculations, vapor-liquid equilibria. In Proceedings of the 27th Meeting, API, San Francisco, pp. 351–366.
   Google Scholar
• Coto, B., J. A. P. Coutinho, C. Martos, M. D. Robustillo, J. J. Espada, and J. L. Pena. 2011. Assessment and improvement of n-paraffin distribution obtained by HTGC to predict accurately crude oil cold properties. Energy & Fuels 25 (3):1153–60. doi:10.1021/ef101642g.
   Web of Science ®Google Scholar
• Danesh, A. 1998. PVT and phase behaviour of petroleum reservoir fluids. Amsterdam: Elsevier.
   Google Scholar
• Erling, H. S., and Wei, Y. 2005. Composition and physical properties of Hydrocarbons. Encyclopedia of hydrocarbon, Volume I-Exploration, Production, and Transport. Rome, Italy.
   Google Scholar
• Heidaryan, E. 2019. A note on model selection based on the percentage of accuracy-precision. Journal of Energy Resources Technology 141(4): 045501 (4 pages). Paper No: JERT-18-1786. https://doi.org/10.1115/1.4041844.
   Web of Science ®Google Scholar
• Kesler, M. G., and B. I. Lee. “Improved prediction of enthalpy of fractions: Hydrocarbon Processing.” (1976): 153–158.
   Google Scholar
• Kim, I. H., S. Dan, H. Kim, H. R. Rim, J. M. Lee, and E. S. Yoon. 2014. Simulation-based optimization of multistage separation process in offshore oil and gas production facilities. Industrial & Engineering Chemistry Research 53 (21):8810–20. doi:10.1021/ie500403a.
   Web of Science ®Google Scholar
• Korsten, H. 2000. Internally consistent prediction of vapor pressure and related properties. Industrial & Engineering Chemistry Research 39 (3):813–20. doi:10.1021/ie990579d.
   Web of Science ®Google Scholar
• Kumar, A. 2016. Characterization of reservoir fluids based on perturbation from n-alkanes. Doctoral Dissertation, University of Alberta. doi:10.7939/R3PR7N024.
   Google Scholar
• Lee, B. I., and M. G. Kesler. 1975. A generalized thermodynamic correlation based on three-parameter corresponding states. AIChE Journal 21 (3):510–27. doi:10.1002/aic.690210313.
   Web of Science ®Google Scholar
• McCain, W. D., J. P. Spivey, and C. P. Lenn. 2011. Petroleum reservoir fluid property correlations. Houston, TX: Penn Well Books.
   Google Scholar
• Multiflash I. version 6. 2014. Infochem KBC Advanced Technologies plc, London, UK.
   Google Scholar
• Nalinakshan, S., V. Sivasubramanian, V. Ravi, A. Vasudevan, M. R. Sankar, and K. Arunachalam. 2019. Progressive crude oil distillation: An energy-efficient alternative to conventional distillation process. Fuel 239:1331–7. doi:10.1016/j.fuel.2018.11.033.
   Web of Science ®Google Scholar
• Neau, E., J. N. Jaubert, and M. Rogalski. 1993. Characterization of heavy oils. Industrial & Engineering Chemistry Research 32 (6):1196–203. doi:10.1021/ie00018a027.
   Web of Science ®Google Scholar
• Pedersen, K. S., A. L. Blilie, and K. K. Meisingset. 1992. Calculations on petroleum reservoir fluids using measured and estimated compositional data for the plus fraction. Industrial & Engineering Chemistry Research 31 (5):1378–84. doi:10.1021/ie00005a019.
   Web of Science ®Google Scholar
• Pedersen, K. S., and P. L. Christensen. 2007. Phase behavior of petroleum reservoir fluids. Boca Raton, FL: CRC Press.
   Google Scholar
• Peng, D. Y., and D. B. Robinson. 1976. A new two-constant equation of state. Industrial & Engineering Chemistry Fundamentals 15 (1):59–64. doi:10.1021/i160057a011.
   Web of Science ®Google Scholar
• Peng, D. Y., and D. B. Robinson. 1978. The characterization of the heptanes and heavier fractions for the GPA Peng-Robinson programs. Tulsa, OK: Gas Processors Association.
   Google Scholar
• Poling, B. E., J. M. Prausnitz, and J. P. O'connell. 2001. The properties of gases and liquids, vol. 5. New York: Mcgraw-Hill.
   Google Scholar
• PVTsim, 20.0, 2011. CALSEP International Consultants, Copenhagen, Denmark.
   Google Scholar
• Riazi, M. R., and T. A. Al-Sahhaf. 1996. Physical properties of heavy petroleum fractions and crude oils. Fluid Phase Equilibria 117 (1–2):217–24. doi:10.1016/0378-3812(95)02956-7.
   Web of Science ®Google Scholar
• Riazi, M. R., and T. E. Daubert. 1980. Simplify property predictions. Hydrocarbon Processing 59 (3):115–6.
   Google Scholar
• Riazi, M. R., and T. E. Daubert. 1987. Characterization parameters for petroleum fractions. Industrial & Engineering Chemistry Research 26 (4):755–9. doi:10.1021/ie00064a023.
   Web of Science ®Google Scholar
• Robustillo, M. D., B. Coto, C. Martos, and J. J. Espada. 2012. Assessment of different methods to determine the total wax content of crude oils. Energy & Fuels 26 (10):6352–7. doi:10.1021/ef301190s.
   Web of Science ®Google Scholar
• Schlumberger PIPESIM. 2017. Production systems analysis software, version 2017. Oxford, UK: Schlumberger.
   Google Scholar
• Schlumberger, Eclipse 300, http://www.software.slb.com/products/eclipse
   Google Scholar
• Soave, G. 1972. Equilibrium constants from a modified Redlich-Kwong equation of state. Chemical Engineering Science 27 (6):1197–203. doi:10.1016/0009-2509(72)80096-4.
   Web of Science ®Google Scholar
• Sotelo, D., A. Favela-Contreras, C. Sotelo, G. Jiménez, and L. Gallegos-Canales. 2017. Design and implementation of a control structure for quality products in a crude oil atmospheric distillation column. ISA Transactions 71:573–84. doi:10.1016/j.isatra.2017.08.005.
   PubMed Web of Science ®Google Scholar
• Twu, C. H. 1984. An internally consistent correlation for predicting the critical properties and molecular weights of petroleum and coal-tar liquids. Fluid Phase Equilibria 16 (2):137–50. doi:10.1016/0378-3812(84)85027-X.
   Web of Science ®Google Scholar
• Whitson, C. H., and M. R. Brulè. 2000. Phase behaviour. SPE Henry L. Doherty series. vol. 20. Richardson, TX: SPE.
   Google Scholar
• Yaws, C. L. 2014. Transport properties of chemicals and hydrocarbons, 2nd ed., Houston, Texas: Elsevier.
   Google Scholar