Evaluation of oil viscosity based various empirical correlations for Azerbaijan crude oils

Evaluation of oil viscosity based various empirical correlations for Azerbaijan crude oils

Автор: Yadigar N. Imamverdiyev, Makrufa Sh. Hajirahimova

Журнал: International Journal of Information Technology and Computer Science @ijitcs

Статья в выпуске: 6 Vol. 11, 2019 года.

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In the oil industry, the evaluation of oil viscosity is one of the important issues. Generally, the viscosity of crude oil depends on pressure and temperature. In this study, the prediction issue of oil viscosity has been viewed applying empirical correlations as Beggs-Robinson, Labedi, modified Kartoatmodjo, Elsharkawy and Alikhan, Al-Khafaji. Original field data reports have been obtained from Guneshli oil field of Azerbaijan sector of Caspian Basin. The correlation models used in the evaluation of viscosity of Azerbaijan oil have been implemented in the Python software environment. The obtained values on empirical correlations have been compared to experimental data obtained from Guneshli oil field. Statistical analysis in terms of percent absolute deviation (% AD) and the percent absolute average deviation (% AAD), mean absolute error (% MAE), correlation coefficient (% ), root mean square error (% RMSE) are used to subject the evaluation of the viscosity correlations. According to statistical analysis, it has been known that the Beggs-Robinson model has shown the lowest value on AAD (10.5614%), MAE (12.4427 %), RMSE (20.0853 %). The Labedi model has presented the worst result on every four criterions. Even though the Elsharkawy-Alikhan model has presented the highest result (99.9272%) on correlation coefficient, in the evaluation of viscosity of Azerbaijan crude oil, the Beggs-Robinson model can be considered more acceptable.

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Correlation, oil viscosity, dead oil, solution gas-oil ratio, bubble point pressure

Короткий адрес: https://sciup.org/15016363

IDR: 15016363   |   DOI: 10.5815/ijitcs.2019.06.03

Список литературы Evaluation of oil viscosity based various empirical correlations for Azerbaijan crude oils

  • C. Beal, "The viscosity of air, water, natural gas, crude oil and its associated gases at oil field temperatures and pressures," Transactions of the AIME, vol. 165, pp. 94-115, 1946.
  • Chew and C. H. Connally, "Viscosity correlations for gas saturated crude oils," Jr Trans AIME, vol. 216, pp. 23-25, 1959.
  • S. Khan, M. Al-Marhoun, S. Duffuaa, and S. Abu-Khamsin, "Viscosity correlations for Saudi Arabian crude oils," in SPE Paper 15720 Presented at the Fifth SPE Middle East Conference held in Manama, Bahrain, 1987, pp. 7-10.
  • A1-Marhoun M. A. Preasure-Volume-Temperature Standsrd Deviation Correlations for Saudi Crude Oils. Paper SPE, 13718. In: SPE Middle East Technical Conference, 11-14 March, Bahrain, 1985.
  • O. Glaso, "Generalized pressure-volume-temperature correlations," Journal of Petroleum Technology, vol. 32, pp. 785-795, 1980.
  • R. K. Abdulmajeed, "New viscosity correlation for different Iraqi oil fields," Iraqi Journal of Chemical and Petroleum Engineering, vol. 15, no. 3, pp. 71–76, 2014.
  • M. Sattarin, H. Modarresi, M. Bayat, and M. Teymori, "New viscosity correlations for dead crude oils," Petroleum & Coal, vol. 49, pp. 33-39, 2007.
  • R. Abedini, A. Abedini, and N. E. Yakhfrouzan, "A new correlation for prediction of undersaturated crude oil viscosity", Petroleum & Coal, vol. 52, pp. 50-55, 2010.
  • H. H. Hanafy et al,.”Emperical PVT correlations applied to Egyptian crude oils exemplify significance of using regional correlations”, SPE International Symposium on Oilfield Chemistry, Houston, Texas, 18–20 Feb. 1997. – SPE 37295.
  • A. Elsharkawy and A. Alikhan, "Models for predicting the viscosity of Middle East crude oils," Fuel, vol. 78, pp. 891-903, 1999.
  • M. A. Huseynov, V. J. Abdullayev, and N. N. Hamidov, "The prediction of horizontal well performance on the basis of reservoir and well model," Azerbaijan Oil Industry, vol. 5, pp. 13-18, 2014.
  • A. Mirzajanzadeh and M. A. Iskandarov, "The theoretical bases of the development and exploitation of oil and gas fields," Baku, p. 395, 2010.
  • A. M. Salmanov, A. S. Eminov, and L. A. Abdullayeva, "Current status of oil development deposits of Azerbaijan and their geological field indicators," Baku, p.74, 2015.
  • G. E. Petrosky, F. F. Farshad, “Viscosity correlations for Gulf of Mexico crude oils,” In: SPE production operations symposium, SPE, Oklahoma City, Oklahoma, 2–4 April 1995.
  • M.A. Al-Marhoun, S. Nizamuddin, A. A. Abdul Raheem, A. S. Shujath, A. A. Muhammadain, “Prediction of crude oil viscosity curve using artificial intelligence techniques,” Journal of Petroleum Science and Engineering, vol. 86, pp. 111–117, 2012.
  • M. A. Oloso, M. G. Hassan, J. Buick et al., “Ensemble SVM for characterization of crude oil viscosity,” Journal of Petroleum Exploration and Production Technology, vol. 8, no. 2, pp 531–546, June 2018.
  • A. M. Ramirez, G. A. Valle, F. Romero, M. Jaimes, “Prediction of PVT properties in crude oil using machine learning techniques MLT,” SPE Latin America and Caribbean Petroleum Engineering Conference, 2017, https://doi.org/10.2118/185536-MS
  • Dindoruk, P.G. Christman, “PVT properties and viscosity correlations for Gulf of Mexico oils,” SPE Reserv Eval Eng., vol.7, pp. 427–437, 2004.
  • M. Hajirahimova, A. Aliyeva, “Current Approaches in Prediction of PVT Properties of Reservoir Oils”, Review of information engineering and applications, vol. 5, no. 2, pp. 31-40, 2018.
  • M. Vazquez and H. D. Beggs, "Correlations for fluid physical property prediction," Journal of Petroleum Technology, vol. 32, pp. 968-970, 1980.
  • H. D. Beggs and J. Robinson, "Estimating the viscosity of crude oil systems," Journal of Petroleum Technology, vol. 27, pp. 1140-1141, 1975.
  • R. Labedi, "Improved correlations for predicting the viscosity of light crudes," Journal of Petroleum Science and Engineering, vol. 8, pp. 221-234, 1992.
  • T. Kartoatmodjo and Z. Schmidt, "Large data bank improves crude physical property correlations," Oil and Gas Journal, vol. 92, pp. 51-55, 1994.
  • A. H. Al-Khafaji, G. H. Abdul-Majeed, and S. F. Hassoon, "Viscosity correlation for dead, live and undersaturated crude oils," Journal of Petres's Research, vol. 6, pp. 1-16, 1987.
  • N. Al-Rawahi et al., “A new correlation for prediction of viscosities of Omani Fahud Field crude oils,” Advances in Modelling of Fluid Dynamics, 12th chapter, 2012, pp. 293–300.
  • J. Deepak, D. Abhishek “Crude oil viscosity correlations: A novel approach for Upper Assam Basin,” 11th International Oil & Gas conference and exhibition PETROTECH-2014, Oil India Limited, Geology & Reservoir Department, Duliajan, Assam, India, 12–15 Jan. 2014.
  • A. A. Naseri et al, “Neural network model and an updated correlation for estimation of dead crude oil viscosity,” Brazilian journal of petroleum and gas. vol. 6, № 1. pp. 31–41, 2012.
  • A. Hemmati-Sarapardeh, B. Aminshahidy, A. Pajouhandeh et al., “A soft computing approach for the determination of crude oil viscosity: light and intermediate crude oil systems,” Journal of the Taiwan Institute of Chemical Engineers, vol. 59, pp. 1-10, February 2016.
  • B. Ghorbani, M. Hamedi, R. Shirmohammadi et al., A novel multi-hybrid model for estimating optimal viscosity correlations of Iranian crude oil. J. Petroleum Science Engineering, vol. 142, pp. 68–76, 2016.
  • T. K. Al-Wahaibi, F. S. Mjalli and A-A. Al-Hashmi, ”Viscosity correlations for light Omani crude using artificial neural networks,” Int. J. Petroleum Engineering, vol. 1, no. 1, pp. 92–110, 2014.
  • M. S. Lashkenari, M. Taghizadeh, B. Mehdizadeh, “Viscosity prediction in selected Iranian light oil reservoirs: Artificial neural network versus empirical correlations,” Petroleum Science, vol. 10, no. 1, pp.126-133, 2013.
  • B. B. Gulyani, B. G. Prakash Kumar, and A. Fathima, “Bagging Ensemble Model for Prediction of Dead Oil Viscosity,” International Journal of Chemical Engineering and Applications, vol. 8, no. 2, April 2017.
  • E. Bagirov, I. Lerche, B. Bagirov and S. Mamedova, "Reservoir Characteristics for South Caspian Oil Fields", Offshore Technology Conference 10887, Houston, Texas, 3-6 May 1999, pp. 1-10
  • F.Borns, Statistics for Petroleum Engineers. Dallas: SPE, 1969.
  • W. J. Dixon and F. J. Massey, Introduction to statistical analysis. Tokyo: Jr., Kogakusha Co., Ltd., 1969.
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