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Investigation on CO2 Induced Asphaltene Precipitation Using Baronia Oil Samples

Mangi Alta’ee, Ali Fikret (2009) Investigation on CO2 Induced Asphaltene Precipitation Using Baronia Oil Samples. Masters thesis, UNIVERSITI TEKNOLOGI PETRONAS.

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Abstract

Asphaltene precipitation is one of the serious problems during the secondary and tertiary oil recovery in light oil reservoirs using CO2 injection. Baronia RV2 light oil sample has been chosen to study the possibility of asphaltene precipitation during the contact of CO2 with oil. When CO2 is in contact with light oil, there is a tendency for asphaltene precipitation which might lead to serious production and reservoir problems such as permeability reduction, porosity alteration, and plugging of wellbore and possibility of blocking the whole production system. The present research is to investigate the asphaltene precipitation phenomenon and to analyze the mechanism of asphaltene deposition during the CO2 injection process. A laboratory study for crude oil characterization has been carried out to determine the properties of reservoir fluid. A routine and special PVT analysis using a high pressure and temperature visual cell has been carried out to examine the phase behavior of asphaltene and CO2. Oil expansion test under CO2 injection and micro- slim tube test have been carried out to investigate the swelling factor and minimum miscibility pressure and to identify the effect of different concentration of CO2 on asphaltene precipitation. Static and dynamic asphaltene studies have been carried out to determine the asphaltene precipitation at different CO2 concentrations and different pressures. Asphaltene precipitation was found during the static asphaltene test when the CO2 concentration was changed under reservoir pressure and temperature. The results show that the amount of precipitated asphaltene increased with increasing the concentration of injected CO2. However; in the dynamic test asphaltene precipitation fluctuated when both pressure and CO2 concentration were changed simultaneously. Results from dynamic asphaltene test were analyzed using statistical analysis method to predict the asphaltene precipitation under the effect of both pressure and CO2 concentration. Multiple regression analysis and analysis of variance (ANOVA) were used to get the multiple linear regression model of asphaltene precipitation for Baronia RV2. The model was tested by using different concentration of CO2 at selected pressures to predict the asphaltene precipitation at any pressure and CO2 concentration. Comparison was made between the measured and predicted asphaltene precipitation.

Item Type: Thesis (Masters)
Subject: UNSPECIFIED
Divisions: Geoscience and Petroleum Engineering
Depositing User: Users 5 not found.
Date Deposited: 05 Jun 2012 09:04
Last Modified: 25 Jan 2017 09:44
URI: http://utpedia.utp.edu.my/id/eprint/3006

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