توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Modeling of Oxidative Coupling of Methane overNa2WO4\Mn\SiO2 Catalyst
اطلاعات انتشار: دوازدهمین کنگره ملی مهندسی شیمی ایران، سال
تعداد صفحات: ۵
Because of proven enormous natural gas resources in the world, there is a strong incentive to study and develop processes that would convert methane in to more valuable chemicals. Among various routes a subject receiving A great deal of interest is oxidative coupling of methane over appropriate catalysts. In this work, direct partial Oxidation of methane was studied in fixed bed quartz reactor at atmospheric pressure(with the total pressure of 1 atm For all reaction). Catalyst was made of Mn\Na2WO4 on the SiO2 as support using impregnation method. Reaction feed included methane ; oxygen and helium gases and reaction products contained CO2,CO,ethane, Ethylene and unconsumed O2 and methane gases. The reaction is throught to proceed via production of methyl
Radical by a heterogeneous catalysis. Ethane is formed homogeneously and produces ethylene. Various parameters such as temperature , percentage of inert gas , methane to oxygen ratio in the feed . The experiments were carried out at 750–850 0Cand the experimental results reveal that maximum C2 selectivity and
maximum methane conversion .<\div>

۲OXIDATIVE COUPLING OF METHANE TO ETHYLENE OVER PEROVSKITE CATALYSTS
اطلاعات انتشار: چهاردهمین همایش بین المللی نفت، گاز و پتروشیمی، سال
تعداد صفحات: ۷
In iran and the other petroleum and gas enriching countries . A considerable amount of gas is combusted wastefully without using them profitably . Now a day while the world petroleum resources are diminishing incrasingly instead nes sources of gas are explored at a large amoun.therefore it is valuable commit investigation on gas conversion to the value–added product such as ethylene which is the most important raw material in petrochemical industry . the results from reactor tests shoewed that perovskite–type catalysts , can be used in this reation. for example , by varying the parameteresof the reactor their crystalline structures remain unchanged. in this paper the variation of temperature, flow rate, inert gas composition in feed and CH4\O2 have been studied for this reaction, and finally, the best catalyst have been selected among the prepared catalyst with perovskite structures.<\div>

۳APPLICATION OF ADAPTIVE NEURO FUZZY INFERENCE SYSTEM TO MODELING OXIDATIVE COUPLING OF METHANE REACTION AT ELEVATED PRESSURE
اطلاعات انتشار: Journal of Petroleum Science and Technology، چهارم،شماره۲، ۲۰۱۴، سال
تعداد صفحات: ۱۳
The oxidative coupling of methane (OCM) performance over Na–W–Mn\SiO2 at elevated pressures has been simulated by adaptive neuro fuzzy inference system (ANFIS) using reaction data gathered in an isothermal fixed bed microreactor. In the designed neuro fuzzy models, three important parameters such as methane to oxygen ratio, gas hourly space velocity (GHSV), and reaction temperature were considered as inputs and methane conversion and the selectivity of product hydrocarbons (C2+) were chosen as outputs. Two five–layer neuro fuzzy models based on the partitioning algorithm were designed at each reaction pressure to predict the product hydrocarbons (C2+) selectivity and methane conversion separately as a linear combination of inputs by the optimal selection of number and type of the membership functions. Moreover, to evaluate the ability and accuracy of the developed neuro fuzzy models in the prediction of OCM reaction performance, the results of ANFIS models were compared with experimental data and artificial neural network outputs. The comparison was carried out by the calculation of some statistical parameters such as correlation coefficient (R2), mean squared error (MSE), and average relative deviation (ARD). The results show that there are excellent agreement between model predictions and experimental data and the proposed ANFIS model can predict the methane conversion and product hydrocarbons (C2+) selectivity under different operating conditions by high accuracy.
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