Rheological Properties of Wet Crude Oil in the Huizhou Oilfield

doi:10.11885/j.issn.1674-5086.2018.09.03.01

Abstract

Abstract: To study the effects of temperature and water content on the apparent viscosity of crude oil in the Huizhou oilfield, the rheological characteristics of wet crude oil were tested using a MCR302 high-temperature and high-pressure rheometer. The experimental results revealed an exponential relationship between the apparent viscosity and temperature with constant water content in wet crude oil. With a fixed temperature, the apparent viscosity and water content were found to follow a cubic polynomial distribution. By combining these findings with dimensional analysis, we proposed a comprehensive correlation describing the relationships among the apparent viscosity, temperature, and water content. The coefficients of the correlations were obtained by fitting the experimental data with the proposed expression. A three-dimensional surface map was plotted to show the change in the apparent viscosity with different temperature and water-content conditions. The accuracy of the empirical fitting was also analyzed in this study. As demonstrated in this study, the comprehensive correlation fundamentally reflects the effect of temperature and water content on the apparent viscosity of wet crude oil. This correlation can provide valuable guidance in calculating pressure drop during the collection and transportation of high water-content crude oil.

Key words: wet crude oil, apparent viscosity, rheology, comprehensive correlation, phase reverse point

CLC Number:

TE832

CHEN Xiaoyu, CHEN Sijia, ZHANG Jie, CHEN Yunxian, LIU Lihao. Rheological Properties of Wet Crude Oil in the Huizhou Oilfield[J]. 西南石油大学学报(自然科学版), 2019, 41(3): 137-142.

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References

[1] 龚大利. 大庆油田高含水原油流变性的研究[J]. 油气储运, 2005, 24(8):25-30. doi:10.3969/j.issn.1000-8241-D.2005.08.008 GONG Dali. Study on the rheology of high water-content crude oil in Daqing Oilfield[J]. Oil & Gas Storage and Transportation, 2005, 24(8):25-30. doi:10.3969/j.issn.-1000-8241-D.2005.08.008
[2] 耿宏章,秦积舜,周开学,等. 含水率对原油黏度影响的实验研究[J]. 油气田地面工程, 2003, 22(2):68-69.
[3] 张宇睿,陈小榆,岳川川,等. 高含水原油黏温综合关系式研究[J]. 石油天然气学报, 2013, 35(4):110-113, 117. doi:10.3969/j.issn.1000-9752.2013.04.023 ZHANG Yurui, CHEN Xiaoyu, YUE Chuanchuan, et al. Comprehensive viscosity-temperature relation of crude oil with high water content[J]. Jouranl of Oil and Gas Technology, 2013, 35(4):110-113, 117. doi:10.3969/j.issn.1000-9752.2013.04.023
[4] 李恩田,王树立,赵会军,等. 含水超稠油表观粘度的试验与研究[J]. 油气储运, 2007, 26(11):52-55. doi:10.3969/j.issn.1000-8241-D.2007.11.015 LI Entian, WANG Shuli, ZHAO Huijun, et al. Experimental study on apparent viscosity of water cut superheavy oils[J]. Oil & Gas Storage and Transportation, 2007, 26(11):52-55. doi:10.3969/j.issn.1000-8241-D.2007.11.-015
[5] ZHANG Jinjun, LIU Xin. Some advances in crude oil rheology and its application[J]. Journal of Central South University of Technology, 2008, 15(S1):288-292. doi:10.-1007/s11771-008-0365-4
[6] BANERJEE S, KUMAR R, MANDAL A, et al. Effect of natural and synthetic surfactant on the rheology of light crude oil[J]. Petroleum Science and Technology, 2015, 33(15-16):1516-1525. doi:10.1080/10916466.-2015.1079539
[7] GACHUZ-MURO H, SOHRABI M. Effects of brine on crude oil viscosity at different temperature and brine composition-heavy oil/water interaction[C]. SPE 164910-MS, 2013. doi:10.2118/164910-MS
[8] BRYAN J, KANTZAS A, BELLEHUMEUR C. Viscosity predictions for crude oils and crude oil emulsions using low field NMR[C]. SPE 77329-MS, 2002. doi:10.-2118/77329-MS
[9] LI Hongying, ZHANG Jinjun. A generalized model for predicting non-Newtonian viscosity of waxy crudes as a function of temperature and precipitated wax[J]. Fuel, 2003, 82(11):1387-1397. doi:10.1016/S0016-2361(03)00035-8
[10] 陈坤明,汪玉春,吴华丽,等. 基于神经网络模型的混合原油黏度预测[J]. 石油规划设计, 2007, 18(6):33-35. doi:10.3969/j.issn.1004-2970.2007.06.010 CHEN Kunming, WANG Yuchun, WU Huali, et al. Forecasting viscosity of blended crude oil based on neural network model[J]. Petroleum Planning & Engineering, 2007, 18(6):33-35. doi:10.3969/j.issn.1004-2970.2007.06.010
[11] HAJIZADEH Y. Viscosity prediction of crude oils with genetic algorithms[C]. SPE 106763, 2007. doi:10.-2118/106763-MS
[12] HAJIZADEH Y. Intelligent prediction of reservoir fluid viscosity[C]. SPE 106764, 2007. doi:10.2118/106764-MS
[13] BAHADORI A, MAHMOUDI M, NOURI A. Prediction of heavy-oil viscosities with a simple correlation approach[J]. Oil and Gas Facilities, 2014, 4(1):66-72. doi:10.2118/157360-PA
[14] ELSHARKWY A M, GHARBI R B C. Comparing classical and neural regression techniques in modeling crude oil viscosity[J]. Advances in Engineering Software, 2001, 32(3):215-224. doi:10.1016/S0965-9978(00)00083-1
[15] KUMAR T, SRINI-VASAN S. A new model for analysis of the rheological properties of crude oil-water emulsion system[C]. SPE 15201-MS, 1985.