Knowledge about miscibility of injected gas in reservoir oils has a vital importance in gas injection pro-cess in petroleum reservoirs for enhanced oil recovery (EOR) goals. In other words, miscibility of theinjected gas is highly depends on injection pressure and restriction of injection facilities. Thanks to thesefacts, minimum value of miscibility pressure should be specified accurately. To pass successfully theaforementioned issue, fuzzy logic method was utilized to specify minimum miscible pressure (MMP) ofinjected gas and reservoir oil. Moreover, different type of membership functions have been implementedsuch as curve shaped, triangular and trapezoidal shape. A large data banks which reported in open liter-ature have been used in order to specify performance, deviations and precision of the developed fuzzylogic approaches. Furthermore, slim tube experiments have done on four different crude oil samples todetermine their MMP values in contact with gas. Also, experimental results of this research have beenmatched accurately with corresponding outcomes of fuzzy logic approaches in comparison with conven-tional methods. According to the results gained from this research on the basis of statistical parameters,curve-shape membership function has higher superiority than other executed types of membership func-tion. Outcomes of present work could be utilized for designing more precise, accurate and assured gasinjection process by means of miscible displacement.
کلید واژگان :MMPMiscible floodingFuzzy logicCrude oilCO2injection
ارزش ریالی : 600000 ریال
با پرداخت الکترونیک