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۱Application of Artificial Intelligence to Evaluate CO2 Flooding Profits for an Iranian Oil Field
اطلاعات انتشار: ششمین کنگره بین المللی مهندسی شیمی، سال
تعداد صفحات: ۶
CO2 flooding as one of the Enhanced Oil Recovery (EOR) methods enormously developed during recent years. In this job, physical properties of CO2 widely studied, then reactions between this gas and reservoir fluid considered and based on that most important effective parameters for application of this method evaluated. It has been tried via Adaptive Network–based Fuzzy Interface System (ANFIS) along with more than 200 field data from all around the world to design a model proficient to foresight the best EOR method for a particular oil reservoir. Inputs for this model would be seven number of the most important reservoir representative parameters and as a result quantity of extra recovered oil is obtained. Based on the amount of oil recovery in different EOR methods it would be possible to choose the best method. Finally, based on designed model, Cumulative oil production in case of CO2 injection forecasted for an Iranian Oil Field. Based on the results for 15 years cumulative production, CO2 injection established as the best candidate for field application.<\div>
نمایش نتایج ۱ تا ۱ از میان ۱ نتیجه