CO2–oil minimum miscibility pressure model for impure and pure CO2 streams

摘要: Abstract CO2 injection processes are among the effective methods for enhanced oil recovery. A key parameter in design of project is minimum miscibility pressure (MMP), whereas local displacement efficiency from highly dependent on MMP. From an experimental point view, slim tube displacements, and rising bubble apparatus (RBA) tests routinely determine Because such experiments very expensive time-consuming, searching fast robust mathematical determination CO2–oil MMP usually requested. It well recognized that depends upon purity CO2, composition, reservoir temperature. This paper presents a new model predicting impure pure effects impurities The alternating conditional expectation (ACE) algorithm was used to estimate optimal transformation maximizes correlation between transformed variable (CO2–oil MMP) sum independent variables. These variables temperature (TR), compositions (mole percentage volatile components (C1 N2), mole intermediate (C2–C4, H2S CO2), molecular weight C5+ (MWC5+)), non-CO2 N2, C1, C2–C4, H2S) injected CO2. validity this successfully approved by comparing results slim-tube calculated common correlations. yielded accurate prediction with lowest average relative absolute error all tested In addition, could be at higher fractions components.