International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

Frequency: 12

line decor
  
line decor

 Volume 6, Issue 1 (January 2019), Pages: 90-94

----------------------------------------------

 Original Research Paper

 Title: Calculation of wax appearance temperature directly from hydrocarbon compositions of crude oil

 Author(s): Arya Hosseinipour 1, *, Azuraien Bt Japper-Jaafar 2, Suzana Yusup 3

 Affiliation(s):

 1Chemical Engineering Department, Universiti Teknologi PETRONAS, 32610, Perak Darul Ridzuan, Malaysia
 2Centre for Advanced and Professional Education, Universiti Teknologi PETRONAS, Level 16, Menara 2, Menara Kembar Bank Rakyat, Jalan Travers, 50470 Kuala Lumpur, Malaysia
 3Biomass Processing Laboratory, Centre for Biofuel and Biochemical Research, Institute of Sustainable Living, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Perak, Malaysia

  Full Text - PDF          XML

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0003-4551-2213

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2019.01.012

 Abstract:

The purpose of this research is to develop a correlation in order to calculate the wax appearance temperature directly from hydrocarbon compositions of crude oil. Different methods have been used to measure wax appearance temperature including experimental instruments and thermodynamic models. A lot of empirical correlations have been used to calculate the physical properties of crude oil. However, there are no correlations for calculating the wax appearance temperature of the crude oils based on hydrocarbon compositions of crude oil. Calculation of the wax appearance temperature has become crucial in the study of wax crystallisation to prevent any congealing of the crude oil in production facilities and transportation pipelines. In this study, new correlations based on the hydrocarbon compositions of crude oil are developed to calculate the wax appearance temperature. The DataFit® scientific software’s multiple nonlinear regression analysis tools are used as a platform to develop a novel correlation to calculate the wax appearance temperature. Two correlations are developed. The accuracy and reliability of these correlations were verified experimentally and thermodynamically by different thermodynamic models. The R2 and AAD% for these correlations (Eqs. 4 and 5) are 0.973, 0.999, 0.0170 and 0.00028 respectively. It can be concluded that the correlation equations are acting better than the thermodynamic wax model in predicting the wax appearance temperature of the crude oils. However, this correlation does not have the capability of thermodynamic wax models in prediction of the phase equilibriums at any temperatures and pressures and are subject to availability of the hydrocarbon composition range as indicated. 

 © 2018 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Alkanes, Branched alkanes, Cyclic alkanes, Wax appearance temperature, Wax crystallisation

 Article History: Received 31 August 2018, Received in revised form 29 November 2018, Accepted 3 December 2018

 Acknowledgement:

The authors wish to thank Universiti Teknologi PETRONAS (UTP), for providing financial support in this study.

 Compliance with ethical standards

 Conflict of interest:  The authors declare that they have no conflict of interest.

 Citation:

 Hosseinipour A, Japper-Jaafar AB, and Yusup S (2019). Calculation of wax appearance temperature directly from hydrocarbon compositions of crude oil. International Journal of Advanced and Applied Sciences, 6(1): 90-94

 Permanent Link to this page

 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4

 Tables

 Table 1 Table 2 Table 3 

----------------------------------------------

 References (22) 

  1. Alcazar-Vara LA and Buenrostro-Gonzalez E (2013). Liquid-solid phase equilibria of paraffinic systems by DSC measurements. In: Elkordy A (Ed.), Applications of Calorimetry in a wide context-differential scanning calorimetry, isothermal titration calorimetry and microcalorimetry. InTech, London, UK.   [Google Scholar]
  2. Alghanduri LM, Elgarni MM, Daridon JL, and Coutinho JA (2010). Characterization of Libyan waxy crude oils. Energy and Fuels, 24(5): 3101-3107. https://doi.org/10.1021/ef1001937   [Google Scholar]
  3. Chala GT, Sulaiman SA, Japper-Jaafar A, Abdullah WAKW, and Mokhtar MMM (2014). Gas void formation in statically cooled waxy crude oil. International Journal of Thermal Sciences, 86: 41-47. https://doi.org/10.1016/j.ijthermalsci.2014.06.034   [Google Scholar]
  4. Claudy P, Létoffé JM, Chagué B, and Orrit J (1988). Crude oils and their distillates: Characterization by differential scanning calorimetry. Fuel, 67(1): 58-61. https://doi.org/10.1016/0016-2361(88)90012-9   [Google Scholar]
  5. Coto B, Martos C, Espada JJ, Robustillo MD, and Peña JL (2014). Experimental study of the effect of inhibitors in wax precipitation by different techniques. Energy Science and Engineering, 2(4): 196-203. https://doi.org/10.1002/ese3.42   [Google Scholar]
  6. DeCoursey W (2003). Statistics and probability for engineering applications. Elsevier, Amsterdam, Netherlands.   [Google Scholar]
  7. Elhaddad EE, Bahadori A, Abdel-Raouf MES, and Elkatatny S (2015). A new experimental method to prevent paraffin-wax formation on the crude oil wells: A field case study in Libya. Hemijska Industrija, 69(3): 269-274. https://doi.org/10.2298/HEMIND130717040E   [Google Scholar]
  8. Escobar-Remolina JCM (2006). Prediction of characteristics of wax precipitation in synthetic mixtures and fluids of petroleum: A new model. Fluid Phase Equilibria, 240(2): 197-203. https://doi.org/10.1016/j.fluid.2005.12.033   [Google Scholar]
  9. Hansen JH, Fredenslund A, Pedersen KS, and Rønningsen HP (1988). A thermodynamic model for predicting wax formation in crude oils. AIChE Journal, 34(12): 1937-1942. https://doi.org/10.1002/aic.690341202   [Google Scholar]
  10. Jafari Ansaroudi HR, Vafaie-Sefti M, Masoudi S, Behbahani TJ, and Jafari H (2013). Study of the morphology of wax crystals in the presence of ethylene-co-vinyl acetate copolymer. Petroleum Science and Technology, 31(6): 643-651. https://doi.org/10.1080/10916466.2011.632800   [Google Scholar]
  11. Japper-Jaafar A, Bhaskoro PT, and Mior ZS (2016). A new perspective on the measurements of wax appearance temperature: Comparison between DSC, thermomicroscopy and rheometry and the cooling rate effects. Journal of Petroleum Science and Engineering, 147: 672-681. https://doi.org/10.1016/j.petrol.2016.09.041   [Google Scholar]
  12. Kruka VR, Cadena ER, and Long TE (1995). Cloud-point determination for crude oils. Journal of Petroleum Technology, 47(08): 681-687. https://doi.org/10.2118/31032-PA   [Google Scholar]
  13. Letoffe JM, Claudy P, Kok MV, Garcin M, and Volle JL (1995). Crude oils: Characterization of waxes precipitated on cooling by DSC and thermomicroscopy. Fuel, 74(6): 810-817. https://doi.org/10.1016/0016-2361(94)00006-D   [Google Scholar]
  14. Lira‐Galeana C, Firoozabadi A, and Prausnitz JM (1996). Thermodynamics of wax precipitation in petroleum mixtures. AIChE Journal, 42(1): 239-248. https://doi.org/10.1002/aic.690420120   [Google Scholar]
  15. Matzain A, Apte MS, Zhang HQ, Volk M, Brill JP, and Creek JL (2002). Investigation of paraffin deposition during multiphase flow in pipelines and wellbores—part 1: Experiments. Journal of Energy Resources Technology, 124(3): 180-186. https://doi.org/10.1115/1.1484392   [Google Scholar]
  16. Pan H, Firoozabadi A, and Fotland P (1997). Pressure and composition effect on wax precipitation: Experimental data and model results. Old Production and Facilities, 12(4): 250-258. https://doi.org/10.2118/36740-PA   [Google Scholar]
  17. Pedersen KS and Rønningsen HP (2003). Influence of wax inhibitors on wax appearance temperature, pour point, and viscosity of waxy crude oils. Energy and fuels, 17(2): 321-328. https://doi.org/10.1021/ef020142+   [Google Scholar]
  18. Quan Q, Gong J, Wang W, and Wang P (2015). The influence of operating temperatures on wax deposition during cold flow and hot flow of crude oil. Petroleum Science and Technology, 33(3): 272-277. https://doi.org/10.1080/10916466.2014.948120   [Google Scholar]
  19. Queimada AJ, Dauphin C, Marrucho IM, and Coutinho JA (2001). Low temperature behaviour of refined products from DSC measurements and their thermodynamical modelling. Thermochimica Acta, 372(1-2): 93-101. https://doi.org/10.1016/S0040-6031(01)00445-2   [Google Scholar]
  20. Sanjay M, Simanta B, and Kulwant S (1995). Paraffin problems in crude oil production and transportation: A review. Old Production and Facilities, 10(1): 50-54. https://doi.org/10.2118/28181-PA   [Google Scholar]
  21. Schou Pedersen K, Skovborg P, and Roenningsen HP (1991). Wax precipitation from North Sea crude oils. 4. Thermodynamic modeling. Energy and Fuels, 5(6): 924-932. https://doi.org/10.1021/ef00030a022   [Google Scholar]
  22. Zhang H (2014). Study on parrifine removal additive of high wax crude oil. Advanced Materials Research, 960: 11-13. https://doi.org/10.4028/www.scientific.net/AMR.960-961.11   [Google Scholar]