Design of a CO₂ Enhanced Oil Recovery Reservoir Adaptability Scheme

Jiayue Qi; Ruxu Wang

doi:10.62051/ijnres.v6n3.07

Authors

Jiayue Qi
Ruxu Wang

DOI:

https://doi.org/10.62051/ijnres.v6n3.07

Keywords:

CO₂ Enhanced Oil Recovery; Grey Relational Analysis; Cluster Analysis; Evaluation Indicator Selection; Scheme Design.

Abstract

CO₂ enhanced oil recovery (EOR) is a widely adopted and efficient method to improve oil recovery rates. Injecting CO₂ into a reservoir not only effectively sequesters CO₂ but also significantly enhances crude oil recovery. However, not all reservoirs are suitable for CO₂ injection, and reservoirs lacking appropriate conditions for CO₂ EOR may not yield better oil recovery results. Therefore, prior to reservoir development, an adaptability assessment for CO₂ EOR is essential. This paper uses grey relational analysis to calculate the grey relational degree and derive evaluation indicators, ranking the correlation and importance of crude oil recovery. After calculating the impact of various factors on oil recovery and the interrelationship between the indicators, evaluation criteria are selected to assess the adaptability of the reservoir for CO₂ EOR. A comprehensive evaluation of reservoir adaptability to CO₂ injection is conducted using cluster analysis, with applications to the Daqing and Jilin oil fields. The results demonstrate that the proposed method for indicator selection and the adaptability evaluation for CO₂ EOR is highly effective and reliable. The use of cluster analysis to evaluate the adaptability of CO₂ EOR in reservoirs can significantly enhance oil recovery, providing practical value. This method can be widely applied in actual reservoir development, offering theoretical guidance for field operations, and holds broad application prospects.

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