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Establishment of temperature-pressure coupling model of CO2 looding injection string and analysis of its sensitivity factors.

Authors :
CAO Yinping
ZHANG Zuqi
DOU Yihua
Source :
China Sciencepaper; Jan2023, Vol. 18 Issue 1, p38-44, 7p
Publication Year :
2023

Abstract

In order to accurately analyze the stress of CO<subscript>2</subscript> flooding injection string, it is necessary to consider the phase distribution of CO<subscript>2</subscript> fluid in the injection string, and reasonably predict the temperature field and pressure field distribution of CO<subscript>2</subscript> flooding injection string. Firstly, the coupling differential equations of temperature, pressure and physical parameters of CO<subscript>2</subscript> flooding injection string were established by three conservation laws. Then, according to the calculation steps of fourth-order Runge Kutta algorithm, MATLAB program was compiled to analyze the temperature field and pressure field of four CO<subscript>2</subscript> flooding injection strings in an oilfield. Finally, the sensitivity factors of temperature field and pressure field distribution of CO<subscript>2</subscript> flooding injection string were analyzed. The results indicate that in the process of CO<subscript>2</subscript> flooding injection, the temperature and pressure of CO<subscript>2</subscript> flooding injection string increase approximately linearly with the increase of formation depth. The fluid temperature exceeds the critical temperature by 31.1 °C after 1-100 m of the string, and the phase state of CO<subscript>2</subscript> fluid changes to supercritical state. The temperature field distribution of injection string is most significantly affected by the injection rate of CO<subscript>2</subscript> fluid, and its sensitivity coefficient reaches 3.10. The pressure field distribution of injection string is most significantly affected by the injection pressure of CO<subscript>2</subscript> fluid, and its sensitivity coefficient reaches 6.00. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
20952783
Volume :
18
Issue :
1
Database :
Complementary Index
Journal :
China Sciencepaper
Publication Type :
Academic Journal
Accession number :
162501563