Professional paper

A Comparison Study of the of the CO2-Oil Physical Properties Literature Correlations Accuracy Using Visual Basic Modelling Technique

Moshin Al-Jarba ; Drilling Supervisor Assistant LUKOIL Saudi Arabia Energy
Bandar Duraya Al-Anazi ; Research Assistant, King Abdulaziz City for Science & Technology

Abstract

A key parameter in a CO2 flooding process is the gas solubility as it contributes to oil viscosity reduction and oil swelling, which together, in turn, enhance the oil mobility and oil relative permeability. Often injected gas-oil mixture physical properties parameters are established through time-consuming experimental means or using correlations available in the literature. However, one must recognise that such correlations for predicting the injected CO2-oil physical properties are valid usually for certain data ranges or site-specific conditions.
In this paper, a comparison has been presented between the literature correlations for CO2-oil physical properties using excel spreadsheet and also using Visual Basic soft ware. Emera and Sarma6 correlations have yielded more accurate predictions with lower errors than the other tested models for all the tested physical properties (CO2 solubility, oil swelling due to CO2, CO2-oil density, and CO2-oil viscosity). Furthermore, unlike the literature models, which were applicable to only limited data ranges and conditions, Emera and Sarma models could be applied over a wider range and conditions.
The developed Visual Basic software can be used to test which correlation presents the best accuracy between a list of different literature correlations for CO2-oil physical properties and then once the best correlation has been selected, the user can go to this correlation and use it in predicting the property (CO2 solubility, oil swelling due to CO2, CO2-oil density, and CO2-oil viscosity) when no experimental data are not available.

Keywords

EOR; CO2 flooding process; CO2 solubility; density; viscosity

Hrčak ID:

39274

URI

https://hrcak.srce.hr/39274

Publication date:

30.5.2009.

Article data in other languages: croatian

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