Abstract
CO2 enhanced oil recovery (CO2-EOR) has become significantly crucial to the petroleum industry, in particular, CO2 miscible flooding can greatly improve the efficiency of EOR. Minimum miscibility pressure (MMP) is a vital factor affecting CO2 flooding, which determines the yield and economic benefit of oil recovery. Therefore, it is important to predict this property for a successful field development plan. In this study, a novel model based on molecular dynamics to determine MMP was developed. The model characterized a miscible state by calculating the ratio of CO2 and crude oil atoms that pass through the initial interface. The whole process was not affected by other external objective factors. We compared our model with several famous empirical correlations, and obtained satisfactory results—the relative errors were 8.53% and 13.71% for the two equations derived from our model. Furthermore, we found the MMPs predicted by different reference materials (i.e., CO2/crude oil) were approximately linear (R2 = 0.955). We also confirmed the linear relationship between MMP and reservoir temperature (TR). The correlation coefficient was about 0.15 MPa/K in the present study.
Highlights
Global warming has caused great changes such as continued sea level rise, which is irreversible over hundreds to thousands of years
The captured CO2 is squeezed into the oil reservoirs that have been exploited, and the interaction between CO2 and crude oil is used to improve the properties of the crude oil, thereby displacing more crude oil from the crust [2]
After calculating the ratio of CO2/crude oil atoms that passed through the initial interface, we found the connection between the ratio value with the miscible state
Summary
Global warming has caused great changes such as continued sea level rise, which is irreversible over hundreds to thousands of years. There are two different miscible and immiscible states in CO2-EOR Under the former condition, CO2 and crude oil can completely integrate into one phase, resulting in a much higher recovery rate than the latter. To put it another way, these methods can be considered as pure mathematical statistics methods that have low levels of universality for different CO2-EOR Against this backdrop, the current study proposes a novel MMP prediction model at the molecular level, and the research process was not affected by other external objective factors. To mimic the contact between CO2 and crude oil, these molecules were gradually mixed until they were miscible with time evolution by using molecular dynamics. Bliborthiuwmeareftgerat4hFFneiirgsge.uudrreea55r.. oRRuMMnSSDdD a4annnaallmyyssiioss fffooRrr CMCOOS22Daann,ddwccrhruuiddceehoosiilli..gnifies that the system achieved equi-
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