Enhanced oil recovery prioritization based on feasibility criteria using intuitionistic fuzzy multiple attribute decision making: a case study in an oil reservoir

Decision-making is among the main concerns in management discussions. This applied research is about a Multiple Criteria Decision Making problem since the decision-making process is drawn upon quantitative and qualitative criteria under uncertain conditions. This study was conducted for an oil reservoir consisting of nine criteria and eight alternatives. To form the network structure and recognize the relationships between the criteria, alternatives, and criteria weights, the Fuzzy Analytic Network Process (FANP) was used. Moreover, the Interval Valued Intuitionistic Fuzzy-TODIM (IVIF-TODIM) technique prioritized the alternatives. A case study was applied to demonstrate and show the suitability of the suggested method. The study's objective is to prioritize enhanced oil recovery (EOR) methods based on the feasibility criteria using the FANP and IVIF-TODIM techniques. This issue is required to implement the research because not all the EOR methods are implemented practically. They should be prioritized and chosen based on the budget, available infrastructures, and other important factors. The important issue is the manager's decision to choose the best method by considering different indicators. This method is a tool for better decision-making. Using these techniques, low salinity water injection was selected as the best and most effective and feasible method.