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A correlation to predict the viscosity of light crude oils

Direct viscosity measurements are often expensive or unavailable. Therefore, empirical correlations are often used for predicting the viscosity of crude oils. However, several published correlations are either too simplistic or too complex for routine operational use. Many of the common correlations...

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Format: Conference Proceeding
Published: 2006
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LEADER 00000njm a2000000a 4500
001 oai:repository.ui.edu.ng:123456789/2987
042 |a dc 
720 |a Isehunwa, O. S.  |e author 
720 |a Olamigoke, O.  |e author 
720 |a Makinde, A. A.  |e author 
260 |c 2006 
520 |a Direct viscosity measurements are often expensive or unavailable. Therefore, empirical correlations are often used for predicting the viscosity of crude oils. However, several published correlations are either too simplistic or too complex for routine operational use. Many of the common correlations in use were developed using data from other regions of the world, Empirical correlations for predicting the viscosity of light crude oils in the Niger Delta have been presented in this paper. Data from over 400 oil reservoirs from the Niger Delta were collected. The samples were representative of the two crude oil viscosity regimes: above and below the bubble point. After normal quality checks, non-linear multiple regression with linear partial correlation coefficient techniques were used to establish simple correlations between viscosity, pressure, temperature, oil specific gravity and solution gas oil ratio. Statistical error analysis of the developed correlation showed average absolute relative percentage error of 4.00% and 3.25% and R2 of 0.99 and 0.97 for oil viscosity above and below the bubble point respectively. These results constitute considerable improvements over existing correlations. 
024 8 |a ui_inpro_isehunwa_correlation_2006 
024 8 |a 31st Annual Society of Petroleum Engineers International Technical Conference and Exhibition, pp. 1-7 
024 8 |a http://ir.library.ui.edu.ng/handle/123456789/2987 
245 0 0 |a A correlation to predict the viscosity of light crude oils