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Evaluation of Oil Viscosity Performance Using Several Empirical Correlations for Some Libyan Crude Oils

Received: 5 September 2016    Accepted: 11 October 2016    Published: 1 November 2016
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Abstract

Evaluation of oil viscosity is an important deal in the design of various operations in oil fields and refineries. Therefore, the variety in viscosity of crude oil, depends on pressure and temperature [1]. In this work, different oil samples from Libyan reservoirs were selected and supplementary data were collected from published literature. Chew-Connally [2], Beggs-Robinson [3], Labedi [4] and modified kartoatmodjo [5] correlations are applied to the acquired data set and a comprehensive error analysis is performed based on a comparison of the predicted value with the experimental value. Results concluded that Beggs-Robinson model gives the lowest value of absolute average deviation (AAD %) 21.19 % compared with the other models promoting this correlation for more applications.

Published in American Journal of Engineering and Technology Management (Volume 1, Issue 4)
DOI 10.11648/j.ajetm.20160104.11
Page(s) 55-58
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Viscosity, Saturated Oil, Correlation, Pressure, Temperature, Value

References
[1] M. Sattarin, H. Modarresi, M. Bayat, M. Teymori, New Viscosity Correlations For Dead Crude Oils, Petroleum & Coal 49 (2), 33-39, 2007.
[2] Viscosity Correlations for Gas Saturated Crude Oils J Chew and CH Connally Jr Trans AIME, 1959, 216 pp23-25.
[3] Beggs, H. D. and Robinson, J. R. 1975. Estimating the Viscosity of Crude Oil Systems. J Pet Technol 27 (9): 1140-1141. SPE-5434-PA.
[4] Labedi, R. 1992. Improved correlations for predicting the viscosity of light crudes. J. Pet. Sci. Eng. 8 (3): 221-234.
[5] Kartoatmodjo, T. and Z., S. 1994. Large Data Bank Improves Crude Physical Property Correlations. Oil Gas J. 92 (27): 51–55.
[6] G. De Ghetto, F. Paone and M. Villa, Pressure-Volume-Temperature Correlations for Heavy and Extra Heavy Oils, SPE 30316, International Heavy Oil Symposium, Calgary, Canada, 19-21 June 1995.
[7] R. Abedini, A. Abedini, N. Eslami Yakhfrouzan,A New Correlation For Prediction Of Undersaturated Crude Oil Viscosity, Petroleum & Coal 52 (1) 50-55, 2010.
[8] K. Rahuma,E. Edreder, International Journal of Petroleum and Geoscience Engineering Volume 03, Issue 01, 2015.
[9] O. Omole, O. A. Falode, A. Deng, Prediction of Nigerian Crude Oil Viscosity Using Artificial Neural Network,, Petroleum & Coal 51(3) 181-188, 2009.
[10] E. A. Edreder, K. M. Rahuma/Petroleum & Coal 54(4) 397-402, 2012.
[11] Andrade, E. N. da C. 1930. The Viscosity of Liquids. Nature 125: 309–310.
[12] Reid, R. C., Prausnitz, J. M., and Sherwood, T. K. 1977. The Properties of Gases and Liquids, third edition, 435–439. New York: McGraw-Hill Higher Education.
[13] Labedi, R. M. 1982. PVT Correlations of the African Crudes. PhD thesis. 1982. PhD thesis, Colorado School of Mines, Leadville, Colorado (May 1982).
[14] Ng, J. T. H. and Egbogah, E. O. 1983. An Improved Temperature-Viscosity Correlation For Crude Oil Systems. Presented at the Annual Technical Meeting, Banff, Canada, 10–13 May. PETSOC-83-34-32.
[15] Al-Khafaji, A. H., Abdul-Majeed, G. H. and Hassoon, S.F. 1987. Viscosity Correlation For Dead, Live And Undersaturated Crude Oils. J. Pet. Res. (December): 1–16.
[16] Kartoatmodjo, R. S. T. 1990. New Correlations for Estimating Hydrocarbon Liquid Properties. MS thesis, University of Tulsa, Tulsa, Oklahoma.
[17] Kartoatmodjo, T. R. S. and Schmidt, Z. 1991. New Correlations for Crude Oil Physical Properties, Society of Petroleum Engineers, unsolicited paper 23556-MS.
[18] De Ghetto, G., Paone, F., and Villa, M. 1995. Pressure-Volume-Temperature Correlations for Heavy and Extra Heavy Oils. Presented at the SPE International Heavy Oil Symposium, Calgary, 19-21 June. SPE-30316-MS.
[19] Fitzgerald, D. J. 1994. A Predictive Method for Estimating the Viscosity of Undefined Hydrocarbon Liquid Mixtures. MS thesis, Pennsylvania State University, State College, Pennsylvania.
[20] Daubert, T. E. and Danner, R. P. 1997. API Technical Data Book—Petroleum Refining, 6th edition, Chap. 11. Washington, DC: American Petroleum Institute (API).
[21] Sutton, R. P. and Farshad, F. 1990. Evaluation of Empirically Derived PVT Properties for Gulf of Mexico Crude Oils. SPE Res Eng 5 (1): 79-86. SPE-13172-PA.
[22] Abdul-Majeed, G. H., Clark, K. K., and Salman, N. H. 1990. New Correlation For Estimating The Viscosity Of Undersaturated Crude Oils. J Can Pet Technol 29 (3): 80. PETSOC-90-03-10.
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  • APA Style

    Khulud. M. Rahuma. (2016). Evaluation of Oil Viscosity Performance Using Several Empirical Correlations for Some Libyan Crude Oils. American Journal of Engineering and Technology Management, 1(4), 55-58. https://doi.org/10.11648/j.ajetm.20160104.11

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    ACS Style

    Khulud. M. Rahuma. Evaluation of Oil Viscosity Performance Using Several Empirical Correlations for Some Libyan Crude Oils. Am. J. Eng. Technol. Manag. 2016, 1(4), 55-58. doi: 10.11648/j.ajetm.20160104.11

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    AMA Style

    Khulud. M. Rahuma. Evaluation of Oil Viscosity Performance Using Several Empirical Correlations for Some Libyan Crude Oils. Am J Eng Technol Manag. 2016;1(4):55-58. doi: 10.11648/j.ajetm.20160104.11

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  • @article{10.11648/j.ajetm.20160104.11,
      author = {Khulud. M. Rahuma},
      title = {Evaluation of Oil Viscosity Performance Using Several Empirical Correlations for Some Libyan Crude Oils},
      journal = {American Journal of Engineering and Technology Management},
      volume = {1},
      number = {4},
      pages = {55-58},
      doi = {10.11648/j.ajetm.20160104.11},
      url = {https://doi.org/10.11648/j.ajetm.20160104.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajetm.20160104.11},
      abstract = {Evaluation of oil viscosity is an important deal in the design of various operations in oil fields and refineries. Therefore, the variety in viscosity of crude oil, depends on pressure and temperature [1]. In this work, different oil samples from Libyan reservoirs were selected and supplementary data were collected from published literature. Chew-Connally [2], Beggs-Robinson [3], Labedi [4] and modified kartoatmodjo [5] correlations are applied to the acquired data set and a comprehensive error analysis is performed based on a comparison of the predicted value with the experimental value. Results concluded that Beggs-Robinson model gives the lowest value of absolute average deviation (AAD %) 21.19 % compared with the other models promoting this correlation for more applications.},
     year = {2016}
    }
    

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    JF  - American Journal of Engineering and Technology Management
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    AB  - Evaluation of oil viscosity is an important deal in the design of various operations in oil fields and refineries. Therefore, the variety in viscosity of crude oil, depends on pressure and temperature [1]. In this work, different oil samples from Libyan reservoirs were selected and supplementary data were collected from published literature. Chew-Connally [2], Beggs-Robinson [3], Labedi [4] and modified kartoatmodjo [5] correlations are applied to the acquired data set and a comprehensive error analysis is performed based on a comparison of the predicted value with the experimental value. Results concluded that Beggs-Robinson model gives the lowest value of absolute average deviation (AAD %) 21.19 % compared with the other models promoting this correlation for more applications.
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Author Information
  • Petroleum Engineering Department, University of Tripoli, Tripoli, Libya

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