A New CO2-EOR Methods Screening Model Based on Interdependency Parameters

The successful implementation of carbon dioxide-enhanced oil recovery (CO2-EOR) is crucial in increasing production and reducing emissions. For this reason, screening criteria are needed for the initial characterization a suitable CO2-EOR reservoir. existing model treats parameters independently. Therefore, each parameter has its limit does not relate to others. However, reality, several interdependent, so we need method that interdependent simultaneously. This research develops new simultaneous using interdependency parameters. Quantitative actual data were collected from field documentation worldwide with comprehensive analysis. A statistical approach correlation analysis was used determine interconnected results synchronized expert domain match physical conditions. acquired by multivariate quality control (MQC) based on principal component (PCA) method. proposed compared 13 projects, demonstrated improvements previous models. operations follow rules. If miscible met, then immiscible should also be appropriate but vice versa. Nevertheless, four different projects predicted slightly optimistic as or immiscible.