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Improvement of CO2 MMP Correlations by Incorporating Paraffinicity Factor

Enhanced Oil Recovery (EOR) implies oil recovery technique beyond the conventional recovery stages of primary or secondary recovery. Out of several extensive methods, miscible gas displacement has been widely used in some of the field in Malaysia. Due to the location at the offshore, CO2 gas injecti...

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Main Author: Muhammad Syahmi Azri Md Zanil, Muhammad Syahmi Azri
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2012
Online Access:http://utpedia.utp.edu.my/5791/1/DISSERTATIONsyahmi.pdf
http://utpedia.utp.edu.my/5791/
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spelling my-utp-utpedia.57912017-01-25T09:40:09Z http://utpedia.utp.edu.my/5791/ Improvement of CO2 MMP Correlations by Incorporating Paraffinicity Factor Muhammad Syahmi Azri Md Zanil, Muhammad Syahmi Azri Enhanced Oil Recovery (EOR) implies oil recovery technique beyond the conventional recovery stages of primary or secondary recovery. Out of several extensive methods, miscible gas displacement has been widely used in some of the field in Malaysia. Due to the location at the offshore, CO2 gas injection was chose to be employed as the EOR technique. The key to successful gas displacement efficiency is to have a reservoir pressure greater than a minimum miscibility pressure (MMP). The MMP has been defined as the minimum pressure at which the injected gas and the oil become miscible with each other. A high degree of accuracy is needed for predicting the outcome of the gas injection process for it is known as a very costly operation. Empirical correlations were often used to predict the MMP during the preliminary study. The aim of this study is to reduce the error of the prediction by correlation. To alleviate the error of prediction, parafinicty factor is incorporated into the correlation. In order to develop accurate predictive compositional models, it is necessary to have at one's disposal many experimental data. This study suggests incorporating the parafinicity factor into the correlation to further characterize the oil composition and reduce the error. A total of 72 MMP measurements from the literature were used to assess the Maklavani (2001), Sebastian (1985), Cronquist (1977) and Yellig (1980) correlations. Parafinicity factor was used to further characterize the correlation which will increase accuracy.. It was demonstrated in this study that some correlations predictions would give huge error of predictions. Several correlations are eliminated from improvement and Yellig et Metcalfe is finally chosen for improvement. Universiti Teknologi Petronas 2012-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/5791/1/DISSERTATIONsyahmi.pdf Muhammad Syahmi Azri Md Zanil, Muhammad Syahmi Azri (2012) Improvement of CO2 MMP Correlations by Incorporating Paraffinicity Factor. Universiti Teknologi Petronas. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
description Enhanced Oil Recovery (EOR) implies oil recovery technique beyond the conventional recovery stages of primary or secondary recovery. Out of several extensive methods, miscible gas displacement has been widely used in some of the field in Malaysia. Due to the location at the offshore, CO2 gas injection was chose to be employed as the EOR technique. The key to successful gas displacement efficiency is to have a reservoir pressure greater than a minimum miscibility pressure (MMP). The MMP has been defined as the minimum pressure at which the injected gas and the oil become miscible with each other. A high degree of accuracy is needed for predicting the outcome of the gas injection process for it is known as a very costly operation. Empirical correlations were often used to predict the MMP during the preliminary study. The aim of this study is to reduce the error of the prediction by correlation. To alleviate the error of prediction, parafinicty factor is incorporated into the correlation. In order to develop accurate predictive compositional models, it is necessary to have at one's disposal many experimental data. This study suggests incorporating the parafinicity factor into the correlation to further characterize the oil composition and reduce the error. A total of 72 MMP measurements from the literature were used to assess the Maklavani (2001), Sebastian (1985), Cronquist (1977) and Yellig (1980) correlations. Parafinicity factor was used to further characterize the correlation which will increase accuracy.. It was demonstrated in this study that some correlations predictions would give huge error of predictions. Several correlations are eliminated from improvement and Yellig et Metcalfe is finally chosen for improvement.
format Final Year Project
author Muhammad Syahmi Azri Md Zanil, Muhammad Syahmi Azri
spellingShingle Muhammad Syahmi Azri Md Zanil, Muhammad Syahmi Azri
Improvement of CO2 MMP Correlations by Incorporating Paraffinicity Factor
author_facet Muhammad Syahmi Azri Md Zanil, Muhammad Syahmi Azri
author_sort Muhammad Syahmi Azri Md Zanil, Muhammad Syahmi Azri
title Improvement of CO2 MMP Correlations by Incorporating Paraffinicity Factor
title_short Improvement of CO2 MMP Correlations by Incorporating Paraffinicity Factor
title_full Improvement of CO2 MMP Correlations by Incorporating Paraffinicity Factor
title_fullStr Improvement of CO2 MMP Correlations by Incorporating Paraffinicity Factor
title_full_unstemmed Improvement of CO2 MMP Correlations by Incorporating Paraffinicity Factor
title_sort improvement of co2 mmp correlations by incorporating paraffinicity factor
publisher Universiti Teknologi Petronas
publishDate 2012
url http://utpedia.utp.edu.my/5791/1/DISSERTATIONsyahmi.pdf
http://utpedia.utp.edu.my/5791/
_version_ 1739831269212028928
score 13.211869

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