Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1111
Title: Oil Viscosity Models for Greater Burgan Oilfield-Kuwait
Authors: Asrar Ajaimi Al-Shammari 
Supervisor: Dr. Osamah Alomair
Degree Awarded: M. Sc Degree in: Petroleum Engineering
Keywords: Dead oil viscosity correlations, saturated oil viscosity correlations, undersaturated oil viscosity correlations, Black oil models, live oil viscosity models
Issue Date: 2019
Publisher:  Kuwait university - college of graduate studies
Abstract: Greater Burgan is the second largest oil field in the world. It holds 60 billion barrels recoverable oil out of 100 billion barrels of Kuwaiti reserve, accounting for 10% of the world oil reserve. In the petroleum industry, the prediction of viscosity using correlations is common, with results used to solve many reservoir engineering and surface production operational problems. In the last seven decades, several viscosity correlations have been developed. However, these may only be suitable for the geological regions for which they were developed and may not provide acceptable results for crude oils from other regions. This study applied several published and widely-known hydrocarbon fluid viscosity models used in the industry. These were used to predict viscosity measurements of 66 different oils from the Greater Burgan Oil Field. The effect of reservoir parameters on oil viscosity was also studied, using an adequate dataset. This study also presents an assessment of these commonlyknown oil viscosity models, based on easily measured parameters. Comparison between predicted and measured viscosity using the dataset showed that these existing models can predict oil viscosity with absolute average relative errors (AARE) of 13.13%, 14.4%, 6%, and 8%, for dead, bubble point, undersaturated, and saturated oil viscosities, respectively. Based on Greater Burgan Oil reservoir measurements, new simple integrated oil viscosity correlations were then developed for estimating dead, bubble point, saturated, and undersaturated oil viscosities. These integrated new correlations are used together, to reduce any need for viscosity laboratory measurements. These correlations were derived using 824 data points of oil viscosity measurements. Their validity and accuracy were confirmed by comparing results obtained using these correlations with 166 measured data points from the field itself. These new correlations showed better accuracy in estimating oil viscosity in all pressure regimes, compared to previously published viscosity models. Results show that, using the newly developed models, the viscosity of Greater Burgan Oil Field crudes can be predicted with AARE values of 5.86%, 5.4%, 2%, and 4.8%, for dead, bubble point, undersaturated, and saturated oil viscosity, respectively. The new proposed models are much simpler and more accurate than published models when applied to Burgan Oil Field crudes.
URI: http://hdl.handle.net/123456789/1111
Appears in Programs:0650 Petroleum Engineering

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