Open Access
Oil & Gas Science and Technology - Rev. IFP Energies nouvelles
Volume 73, 2018
Article Number 25
Number of page(s) 13
Published online 09 July 2018
  • Bahrami P., Kharrat R., Mahdavi S., Firoozinia H. (2015). Prediction of the gas injection effect on the asphaltene phase envelope. Oil Gas Sci. Technol. − Rev. IFP Energies nouvelles, 70, 6, 1075–1086. [Google Scholar]
  • David Ting, P., Hirasaki G.J., Chapman W.G. (2003). Modeling of asphaltene phase behavior with the SAFT equation of state. Pet. Sci. Technol., 21, 3–4, 647–661. [CrossRef] [Google Scholar]
  • Escobedo J., Mansoori G.A. (2010). Heavy-organic particle deposition from petroleum fluid flow in oil wells and pipelines. Pet. Sci., 7, 4, 502–508. [CrossRef] [Google Scholar]
  • Eskin D., Ratulowski J., Akbarzadeh K., Pan S. (2011). Modelling asphaltene deposition in turbulent pipeline flows. Can. J. Chem. Eng., 89, 3, 421–441. [CrossRef] [Google Scholar]
  • Gonzalez D.L., Hirasaki G.J., Creek J., Chapman W.G. (2007). Modeling of asphaltene precipitation due to changes in composition using the perturbed chain statistical associating fluid theory equation of state. Energy Fuels, 21, 3, 1231–1242. [CrossRef] [Google Scholar]
  • Hutin A., Argillier J.-F., Langevin D. (2016). Influence of pH on oil-water interfacial tension and mass transfer for asphaltenes model oils. comparison with crude oil behavior. Oil Gas Sci. Technol. − Rev. IFP Energies nouvelles, 71, 4, 1–8. [Google Scholar]
  • Kashefi S., Lotfollahi M.N., Shahrabadi A. (2018). Investigation of asphaltene adsorption onto zeolite beta nanoparticles to reduce asphaltene deposition in a silica sand pack. Oil Gas Sci. Technol. − Rev. IFP Energies nouvelles, 73, 1–12. [Google Scholar]
  • Kurup A.S., Vargas F.M., Wang J., Buckley J., Creek J.L., Subramani H, Chapman W.G. (2011). Development and application of an asphaltene deposition tool (ADEPT) for well bores. Energy Fuels 25, 10, 4506–4516. [CrossRef] [Google Scholar]
  • Kurup A.S., Wang J., Subramani H.J., Buckley J., Creek J.L., Chapman W.G. (2012). Revisiting asphaltene deposition tool (ADEPT): field application. Energy Fuels, 26, 9, 5702–5710. [CrossRef] [Google Scholar]
  • Maqbool T. (2011). Understanding the kinetics of asphaltene Precipitation from Crude oils. The University of Michigan. [Google Scholar]
  • Marques J., Merdrignac I., Baudot A., Barré L., Guillaume D., Espinat D., Brunet S. (2008). Asphaltenes size polydispersity reduction by nano- and ultrafiltration separation methods − comparison with the flocculation method. Oil Gas Sci. Technol. − Rev. IFP Energies nouvelles, 63, 1, 139–149. [CrossRef] [Google Scholar]
  • Ramirez-Jaramillo E., Lira-Galeana C., Manero O. (2006). Modeling asphaltene deposition in production pipelines. Energy Fuels 20, 3, 1184–1196. [CrossRef] [Google Scholar]
  • Rezakazemi M., Mirzaei S., Asghari, M., Ivakpour J. (2017). Aluminum oxide nanoparticles for highly efficient asphaltene separation from crude oil using ceramic membrane technology. Oil Gas Sci. Technol. − Rev. IFP Energies nouvelles 72, 6. [Google Scholar]
  • Soltani Soulgani B., Rashtchian D., Tohidi B., Jamialahmadi M. (2009). Integrated modelling methods for asphaltene deposition in wellstring. J. Jpn. Petrol. Inst., 52, 6, 322–331. [CrossRef] [Google Scholar]
  • Soltani Soulgani B., Rashtchian D., Tohidi B., Jamialahmadi M. (2010). A novel method for mitigation of asphaltene deposition in the wellstring. Iran. J. Chem. Chem. Eng., 29, 2, 131–142. [Google Scholar]
  • Tavakkoli M. (2013). Simulation of asphaltene slurry for oil dominant system in vertical wells. (PhD), Sharif University of Technology, Tehran, Iran. [Google Scholar]
  • Vargas F.M., Creek, J.L., Chapman, W.G. (2010). On the Development of an Asphaltene Deposition Simulator†. Energy Fuels, 4, 24, 2294–2299. [CrossRef] [Google Scholar]
  • Vargas F.M., Gonzalez D.L., Hirasaki, G.J., Chapman, W.G. (2009). Modeling asphaltene phase behavior in crude oil systems using the perturbed chain form of the statistical associating fluid theory (PC-SAFT) equation of state†. Energy Fuels, 23, 3, 1140–1146. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.