EOR Screening Using Fuzzy Logic Methodology

Big reserves discoveries are decreasing or sometimes impossible, and if possible, it may never be as big as remaining oil in mature fields. This fact creates the need for considering EOR techniques at different stages to recover more oil from existing oil reservoirs in order to meet future energy demands. Making the right selection when it comes to applying EOR techniques is crucial. There are a number of different choices in this regard, including chemical methods, miscible and immiscible gas flooding, and thermal recovery methods. The purpose of this work is to provide a solution to select an efficient EOR process and investigate the comfort zone of physical parameters. A database of reservoir parameters (rock and fluid properties) of 13 different EOR techniques has been collected and analyzed. A fuzzy logic methodology is developed to automate the selection process and improve decision-making. This concept clearly makes saving in time and cost, and reduce the final decision-making risk. The results show that FL system can select proper EOR methods