Algorithm to Compute the Minimum Miscibility Pressure (MMP) for Gases in Gas Flooding Process

Abstract

Abstract Enhanced oil recovery (EOR) is important to the petroleum industry mostly because it is used to improve oil recovery. Miscible gas flooding, a type of EOR process that is proven and economically viable can significantly increase oil recovery from reservoirs. In this study, the minimum miscibility pressure (MMP) in gas floods for different gases were computed using empirical correlations (Glaso correlation for hydrocarbon gas injection, Emera, Yuan et al and Glaso correlation for pure carbon dioxide gas injection, Sebastin and Yuan correlation for impure carbon dioxide correlations and Glaso, Firoozabadi and Aziz correlations for nitrogen gas injection). An efficient computer program was developed using visual basic programing language. Employing its highly versatile features, friendly graphical user interface (GUI) forms were designed and robust codes were developed. Validation was done for the program and results showed that the software which was developed had acceptable level of accuracy, was fast and effective. The study provides a new and cost effective way of checking for MMP which will enhance the process of screening gas flooding processes for the reservoir.