The effect of screening parameters on miscible and immiscible CO2 EOR applications

Date

2024-12-2

Author

Arslan, Umut Efe

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CO2 injection has been employed as an enhanced oil recovery (EOR) method for over 50 years and is classified into two types: miscible and immiscible. In miscible injection, CO₂ and reservoir fluid mix to form a single-phase fluid, whereas in immiscible injection, they do not. Achieving miscibility depends on the minimum miscibility pressure (MMP), the lowest pressure at which CO2 completely mixes with reservoir oil at a given temperature. MMP is a critical design parameter for CO₂ injection, alongside API gravity, reservoir temperature, reservoir pressure, permeability, and porosity, which also play significant roles in determining the success of the process. To evaluate the combined effects of these parameters, black oil simulations were conducted using five distinct oil samples with varying API gravities. MMP values were calculated through slim tube simulations and empirical correlations. Porosity and permeability effects were analyzed using Petrel’s Uncertainty and Optimization tool for both miscible and immiscible scenarios. Pearson and Chatterjee correlations were implemented to porosity, permeability, and recovery factor data. Results indicated that both porosity and permeability negatively affect recovery factors, with porosity having a greater influence in miscible runs, while permeability is more significant in immiscible runs. Furthermore, sensitivity analyses were performed on reservoir temperature and pressure for one fluid sample. These analyses revealed that pressure negatively impacts recovery factors in immiscible cases and positively impacts miscible cases, while temperature has the opposite effect, showing positive influence in immiscible runs and negative influence in miscible runs.

Subject Keywords

Carbon dioxide, Screening, Minimum miscibility pressure, Miscible, Immiscible

URI

https://hdl.handle.net/11511/112679

Collections

Graduate School of Natural and Applied Sciences, Thesis