Ogunkunle, Temitope and Abraham, V. D. and Afolabi, Richard Oyekunle and Oriola, Opedamola (0002) Comparative Analysis of Saturated and Under-saturated oil Viscosity Correlations using Statistical Tools, Niger Delta Case Study. In: 2nd International Conference on Science and Sustainable Development IOP Conf. Series: Earth and Environmental Science, 2018.
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Abstract
Crude oil viscosity is one of the most important fluid properties that affects fluid flow behavior; either in pipeline hydraulics or in the porous media (reservoir). Viscosity is a vital physical property that plays a major role in the petroleum industry, the production processing and transportation of oil due to influence on the flow through porous rock, oil wells, multiphase flow through tubing and piping system. Therefore, the need for accurate determination of viscosity for oil and gas applications cannot be overemphasized. Numerous empirical correlations exist in literature for predicting crude oil viscosity but their accuracy is limited based on range of conditions of application, composition of the crude used in developing the correlation, specific range of data and experimental conditions. In the present work, experimental data of oil viscosity from different samples of Nigerian oil reservoirs were statistically compared with correlation predicted viscosity using the most common viscosity empirical correlations. Validity and accuracy of these empirical models has been confirmed for both saturated and under-saturated Niger Delta oil samples. It was observed that for undersaturated oil viscosities, Elshawarky & Alikhan’s correlation gave a better prediction based on the Absolute average percentage error and standard deviation while for the case of saturated oil viscosities Chew and Connally proved to be the closest to the experimental results.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Viscosity, Statistical analysis, Crude oil |
| Subjects: | T Technology > TP Chemical technology |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | Mrs Patricia Nwokealisi |
| Date Deposited: | 06 Apr 2021 14:24 |
| Last Modified: | 06 Apr 2021 14:24 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/13957 |
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