A Multiphase and Multicomponent Model and Numerical Simulation Technology for CO 2 Flooding and Storage

Qiaoyun Li (), Zhengfu Ning (), Shuhong Wu, Baohua Wang, Qiang Li and Hua Li
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Qiaoyun Li: College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102299, China
Zhengfu Ning: College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102299, China
Shuhong Wu: Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China
Baohua Wang: Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China
Qiang Li: College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102299, China
Hua Li: Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China

Energies, 2024, vol. 17, issue 13, 1-16

Abstract: In recent years, CO 2 flooding has become an important technical measure for oil and gas field enterprises to further improve oil and gas recovery and achieve the goal of “dual carbon”. It is also one of the concrete application forms of CCUS. Numerical simulation based on CO 2 -EOR plays an indispensable role in the study of the mechanism of CO 2 flooding and buried percolation, allowing for technical indicators to be selected and EOR/EGR prediction to be improved for reservoir engineers. This paper discusses the numerical simulation techniques related to CO 2 flooding and storage, including mathematical models and solving algorithms. A multiphase and multicomponent mathematical model is developed to describe the flow mechanism of hydrocarbon components–CO 2 –water underground and to simulate the phase diagram of the components. The two-phase P-T flash calculation with SSI (+DEM) and the Newton method is adopted to obtain the gas–liquid phase equilibrium parameters. The extreme value judgment of the TPD function is used to form the phase stability test and miscibility identification model. A tailor-made multistage preconditioner is built to solve the linear equation of the strong-coupled, multiphase, multicomponent reservoir simulation, which includes the variables of pressure, saturation, and composition. The multistage preconditioner improves the computational efficiency significantly. A numerical simulation of CO 2 injection in a carbonate reservoir in the Middle East shows that it is effective for researching the recovery factor and storage quantity of CO 2 flooding based on the above numerical simulation techniques.

Keywords: carbon dioxide utilization and storage; multiphase and multicomponent mathematical model; CO 2 miscible flooding; EOS flash calculation; multistage preconditioner (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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