An improved correlation to determine minimum miscibility pressure of CO2–oil system

Guangying Chen; Hongxia Gao; Kaiyun Fu; Haiyan Zhang; Zhiwu Liang; Paitoon Tontiwachwuthikul

Green Energy & Environment (Jan 2020)

An improved correlation to determine minimum miscibility pressure of CO2–oil system

Guangying Chen,
Hongxia Gao,
Kaiyun Fu,
Haiyan Zhang,
Zhiwu Liang,
Paitoon Tontiwachwuthikul

Affiliations

Guangying Chen: Department of Chemistry & Chemical Engineering, Zhoukou Normal University, Henan, Zhoukou, 466001, China; Joint International Center for CO2 Capture and Storage (iCCS), Provincial Hunan Key Laboratory for Cost-effective Utilization of Fossil Fuel Aimed at Reducing Carbon-dioxide Emissions, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan, 410082, China; Corresponding authors.
Hongxia Gao: Joint International Center for CO2 Capture and Storage (iCCS), Provincial Hunan Key Laboratory for Cost-effective Utilization of Fossil Fuel Aimed at Reducing Carbon-dioxide Emissions, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan, 410082, China
Kaiyun Fu: Joint International Center for CO2 Capture and Storage (iCCS), Provincial Hunan Key Laboratory for Cost-effective Utilization of Fossil Fuel Aimed at Reducing Carbon-dioxide Emissions, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan, 410082, China
Haiyan Zhang: Joint International Center for CO2 Capture and Storage (iCCS), Provincial Hunan Key Laboratory for Cost-effective Utilization of Fossil Fuel Aimed at Reducing Carbon-dioxide Emissions, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan, 410082, China; Department of Petroleum and Chemical Engineering, Qinzhou University, Qinzhou, Guangxi, 535000, China; Corresponding authors.
Zhiwu Liang: Joint International Center for CO2 Capture and Storage (iCCS), Provincial Hunan Key Laboratory for Cost-effective Utilization of Fossil Fuel Aimed at Reducing Carbon-dioxide Emissions, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan, 410082, China; Corresponding authors.
Paitoon Tontiwachwuthikul: Joint International Center for CO2 Capture and Storage (iCCS), Provincial Hunan Key Laboratory for Cost-effective Utilization of Fossil Fuel Aimed at Reducing Carbon-dioxide Emissions, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan, 410082, China; Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada

Journal volume & issue: Vol. 5, no. 1
pp. 97 – 104

Abstract

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An accurate and reliable estimation of minimum miscibility pressure (MMP) of CO2–oil system is a critical task for the design and implementation of CO2 miscible displacement process. In this study, an improved CO2–oil MMP correlation was developed to predict the MMP values for both pure and impure CO2 injection cases based on ten influential factors, i.e. reservoir temperature (TR), molecular weight of C7+ oil components (MWC7+), mole fraction of volatile oil components (xvol), mole fraction of C2C4 oil components (xC2-C4), mole fraction of C5C6 oil components (xC5-C6), and the gas stream mole fractions of CO2 (yCO2), H2S (yH2S), C1 (yC1), hydrocarbons (yHC) and N2 (yN2). The accuracy of the improved correlation was evaluated against experimental data reported in literature concurrently with those estimated by several renowned correlations. It was found that the improved correlation provided higher prediction accuracy and consistency with literature experimental data than other literature correlations. In addition, the predictive capability of the improved correlation was further validated by predicting an experimentally measured CO2–oil MMP data, and it showed an accurate result with the absolute deviation of 4.15%. Besides, the differential analysis of the improved correlation was analyzed to estimate the impact of parameters uncertainty in the original MMP data on the calculated results. Also, sensitivity analysis was performed to analyze the influence of each parameter on MMP qualitatively and quantitatively. The results revealed that the increase of xC2-C4, xC5-C6 and yH2S lead to the decrease of MMP, while the increase of TR, MWC7+, xvol, yCO2, yC1, yHC and yN2 tend to increase the MMP. Overall, the relevance of each parameter with MMP follows the order of TR > xC5-C6 > MWC7+ > xvol > yH2S > yHC > yCO2 > yC1 > yN2 > xC2-C4. Keywords: Minimum miscibility pressure, Correlation, CO2 miscible flooding, Enhanced oil recovery

Published in Green Energy & Environment

ISSN: 2468-0257 (Online)
Publisher: KeAi Communications Co., Ltd.
Country of publisher: China
LCC subjects: Technology: Mechanical engineering and machinery: Renewable energy sources; Science: Biology (General): Ecology
Website: https://www.keaipublishing.com/en/journals/green-energy-and-environment/

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