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Heavy Oil Viscosity and Density Prediction at Normal and ElevatedTemperature

Authors
Osamah Ali Alomair (Kuwait University) | Mohamed Hamed (Kuwait University) | Mohammad A.J. Ali (Kuwait Inst. Scientific Rsch.) | Abullhaq Alkoriem (Kuwait University)
DOI
https://doi.org/10.2118/163342-MS
Document ID
SPE-163342-MS
Publisher
Society of Petroleum Engineers
Source
SPE Kuwait International Petroleum Conference and Exhibition, 10-12 December, Kuwait City, Kuwait
Publication Date
2012
Document Type
Conference Paper
Language
English
ISBN
978-1-61399-263-0
Copyright
2012. Society of Petroleum Engineers
Disciplines
6.1.5 Human Resources, Competence and Training, 5.2 Reservoir Fluid Dynamics, 4.6 Natural Gas
Keywords
Heavy Oil Viscosity, Kuwait, Prediction
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Abstract

Viscosity and Density are important physical parameter of crude oil, closely related with the whole processes of production and transportation, and are very essential properties to the process design and petroleum industries simulation. As viscosity increases, a conventional measurement becomes progressively less accurate and more difficult to obtain. According to the literature survey, most published correlations that are used to predict density and viscosity of heavy crude oil are limited to certain temperatures, API values, and viscosity ranges. The objective of present work is to propose accurate models that can successfully predict two important fluid properties, viscosity and density covering a wide range of temperatures, API, and viscosities. Viscosity and density of more than 30 heavy oil samples of different API gravities collected from different oilfield were measured at temperature range 15oC to 160oC (60oF to 320oF), and the results were used to ensure the capability of proposed and published correlations to predict the experimental viscosity and density data. The proposed correlation can be summarized in two stages. The first step was to predict the heavy oil density from API and temperature for different crudes. The predicted values of the densities were used in the second step to develop the viscosity correlation model. A comparison of the predicted and actual viscosities data, concluded that the proposed model has successfully predict all data with average relative errors of less than 12% and with the correlation coefficient R2 of 0.97, and 0.92 at normal and high temperatures respectively. Meanwhile, the results of most of the available models has an average relative error above 40%, with R2 values between 0.19 to 0.95. These comparisons were made as a quality control to confirm the reliability of the proposed model to predict density and viscosity values of heavy crudes when compared with other models.

File Size  352 KBNumber of Pages   13

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