Abstract
A simple and robust algorithm has been developed to calculate the minimum miscibility pressure (MMP), which is considered one of the crucial and essential design parameters of miscible gas injection projects for enhanced oil recovery (EOR). This algorithm is to track all tie-line lengths through the cell-cell calculation by the minimum distance function for the prediction of MMP. The MMP is the pressure at which any one of all key tie-line lengths becomes zero. To verify the accuracy of the revised MMC algorithm for determining MMP, several examples taken from the published literature have been examined. The calculation results of our revised MMC algorithm show excellent agreement with those estimated by MOC, MMC, and slim-tube experiments, which are found to be reliable within acceptable accuracy (4.53%-0.50%).
Highlights
CO2 miscible flooding has become a technique that is used most extensively to enhance oil recovery [1,2,3]
The experimental method for measuring the minimum miscible pressure (MMP) mainly consists of the slim-tube test, multiple contact method (MCM), vanishing interfacial tension (VIT) method, and rising bubble apparatus (RBA) method [7,8,9,10,11]
We proposed a new MMC model for estimating the MMP, which tracks all tie-line lengths through the cell-cell calculation by the minimum distance function
Summary
CO2 miscible flooding has become a technique that is used most extensively to enhance oil recovery [1,2,3]. The slimtube test is usually applied to measure the MMP in the oil industry as a standard method since it can reproduce the complicated interactions of fluid flow and phase behavior in porous media. This method can be high cost and time-consuming; this means that it will spend 4 to 6 weeks on the MMP measurement of a given oil-gas system. Other experimental MMP methods, such as RBA and VIT, cannot obtain reliable predictions of the MMP because they may not capture the complex interactions between fluid flow and its phase behavior for the miscibility of most field gas floods, which are both condensing/vaporizing (CV) drives. A slight change in the reservoir condition arises a huge error in the MMPs estimated by these correlations
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