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    EOR Screening in Fractured Reservoirs Using Artificial Intelligence Technique

    , M.Sc. Thesis Sharif University of Technology Eghbali, Sara (Author) ; Ayatollahi, Shahabaldin (Supervisor) ; Bozormehry, Ramin (Supervisor)
    Abstract
    Part1: Since conventional production has continued to fall, oil Production through EOR processes will supply an increasing percentage of the world’s oil demand in future years. Therefore; the importance of choosing the best recovery method becomes increasingly important to decrease the risk and find the best solution to the oil production decline from matured reservoirs. An expert system whose main task is to recommend the most appropriate EOR method will be described. The proposed expert system is utilized fuzzy logic system to screen four well known EOR methods of miscible 〖CO〗_2 injection, miscible HC gas injection, polymer flooding and steam injection based on reservoir and rock...