Prediction of Minimum Miscibility Pressure using Group Method of Data Handling

Enhanced oil recovery benefits the oil and gas industry by increasing the oil production that had been declined in particular reservoir. One of the methods is by miscible gas injection. In order to inject the gas into the reservoir and achieve miscibility, the determination of minimum miscibility pressure (MMP) is important. This report is regarding the study of MMP by using group method of data handling (GMDH). There are many ways to determine MMP. However, selection of GMDH as a method had been done because most of the experimental methods take a lengthy time to be completed. Although through previous studies, a lot of models had been produced, still, the industry in need of researches that generate correlations that are better in accuracy. Therefore, this study aimed to model MMP with GMDH, using common correlated parameters, and made comparison with the previous model. In this report also, researches been done by gathering data required by doing comprehensive readings on particular topics related to the projects especially regarding the concepts of MMP and GMDH. Only then the model could be made and optimized ultimately producing an accurate and reliable correlations.