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Hydrocarbon production rates in Fischer-Tropsch synthesis over a Fe/Cu/La/Si catalyst

Journal of Energy Chemistry 2013年第1期22卷 119-129页

作者： Ali Nakhaei Pour Farshad Riyahi Mohammad Reza Housaindokht Mohammad Irani Seyed Mehdi Kamali Shahri behnam hatami Department of Chemistry Ferdowsi University of Mashhad Department of Chemical Engineering Petroleum University of Technology (PUT) Research Institute of Petroleum Industry of National Iranian Oil Company Chemical Engineering Department Penn State University University Park

The detailed kinetics of Fischer-Tropsch synthesis over an industrial Fe/Cu/La/Si catalyst was studied in a continuous spinning basket re- actor under the conditions relevant to industrial operations. Reaction rate equations were derived on the basis of Langmuir-Hinshelwood- Hougen-Watson type models for Fischer-Tropsch synthesis based on possible reactions sets originated from the carbide, enolic and combined enol/carbide mechanisms. Kinetic model candidates were evaluated by the global optimization of kinetic parameters, which were realized by first minimization of multi-response objective functions with conventional Levenberg-Marquardt method. It was found that an enolic mech- anism based model could produce a good fit of the experimental data. The activation energy for paraffin formation is 95 ***1-1 which is smaller than that for olefin formation （121 ***-1）.

关键词： Fischer-Tropsch synthesis kinetics iron catalysts catalysts selectivity

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Fischer-Tropsch synthesis over ruthenium-promoted Co/Al_2O_3 catalyst with different reduction procedures

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Journal of Natural Gas Chemistry 2010年第5期19卷 503-508页

作者： Ali Karimi Ali Nakhaei Pour Farshad Torabi behnam hatami Ahmad Tavasoli Mohammad Reza Alaei Mohammad Irani Research Institute of Petroleum Industry (RIPI) Gas Research Division

The effect of reduction procedure on catalyst properties, activity and products selectivity of ruthenium-promoted Co/γ-Al2O3 catalyst in Fischer-Tropsch synthesis （FTS） was investigated. Catalyst samples were reduced with different reduction gas compositions and passivated before being characterized by TPR and XRD techniques. Different activity and product selectivity analyses were also performed. These results showed that the catalyst dispersion, particle size, and the degree of reduction changed with different reduction gas compositions, which were resulted from the water partial pressures in reduction process that give varying degrees of interaction with the support. It has been suggested that the FTS activity of cobalt catalyst was directly dependent on the catalyst reducibility. A reduction gas with a molar ratio of H2Prle = 1 was used to prevent the formation of Co-support compound during catalyst reduction.

关键词： Fischer-Tropsch synthesis cobalt reducibility activity C5+ selectivity

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Data driven prediction of oil reservoir fluid properties

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Petroleum Research 2023年第3期8卷 424-432页

作者： Kazem Monfaredi Sobhan hatami Amirsalar manouchehri behnam Sedaee Institute of Petroleum Engineering School of Chemical EngineeringCollege of EngineeringUniversity of TehranIran

Accuracy of the fluid property data plays an absolutely pivotal role in the reservoir computational *** data can be obtained through various experimental methods,but these methods are very expensive and time *** methods are numerical *** methods used measured experimental data to develop a representative model for predicting desired *** this study,to predict saturation pressure,oil formation volume factor,and solution gas oil ratio,several Artificial Intelligent(AI)models were developed.582 reported data sets were used as data bank that covers a wide range of fluid *** and reliability of the model was examined by some statistical parameters such as correlation coefficient(R2),average absolute relative deviation(AARD),and root mean square error(RMSE).The results illustrated good accordance between predicted data and target *** model was also compared with previous works and developed empirical correlations which indicated that it is more reliable than all compared models and *** the end,relevancy factor was calculated for each input parameters to illustrate the impact of different parameters on the predicted *** factor showed that in these models,solution gas oil ratio has greatest impact on both saturation pressure and oil formation volume *** the other hand,saturation pressure has greatest effect on solution gas oil ratio.

关键词： Data driven prediction Oil reservoir fluid Saturation pressure Formation volume factor Solution gas oil ratio

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