Prediction of Product Distribution in the Delayed Coking of Iranian Vacuum Residue

Document Type : Research Article


1 Chemical Engineering Department, Amirkabir University, Tehran, I.R. IRAN

2 Refinery Process Development Division, Research Institute of Petroleum Industry (RIPI), Tehran, I.R. IRAN


The delayed Coker process as an upgrading process has the main impact on the productivity of the Refinery Complexes. To determine the impact of different operating conditions on the product yield distribution of the delayed coking process, several experiments were designed and conducted in a prefabricated pilot plant. The experiments were conducted on different Iranian vacuum residues at temperatures ranging from 420°C to 480°C and at atmospheric pressure. Reaction times were within the range of 5-120 minutes. A four lumps kinetic model has been developed based on the experimental results. The lumps—which included Volatile products, coke, feed, and an intermediate phase between coke and feed—were defined to precisely monitor the yield distribution of products throughout the reaction time. The feedstocks utilized were three different vacuum residues and their blends. The mixtures were produced by using different mixing ratios of the three vacuum residues. The Statistical analysis shows that this model has R-squared, RMSE, SSE, and MRE equal to 0.99, 0.022, 0.08, and 3.537%, respectively. This shows that the developed model is sufficiently accurate. The experimental and modeling results in this research reveal that by increasing the temperature, the yield of coke and gas is abated. However, the yield of the distillate is escalated. This investigation illustrates that the production of an intermediate reaction has the highest amount of activation energy in comparison with the other reactions. Also, the results indicate that the production reaction rate of coke has the highest amount compared to other reactions.


Main Subjects

[1] Al-Wasify R.S., Hamed S.R., Bacterial Biodegradation of Crude Oil Using Localisolates, International Journal of Bacteriology, 1-8 (2014).
[2] Truskewycz A., Gundry T.D., Khudur L.S., Kolobaric A., Taha M., Aburto-Medina A., Ball A.S., Shahsavari E., Petroleum Hydrocarbon Contamination in Terrestrial Ecosystems—Fate and Microbial Responses, Molecules, 24: 3400 (2019).
[3] Dhawan S., Erickson L.E., Fan L.T., Model Development and Stimulation of Bioremediation in Soil Beds with Aggregates, Ground Water, 31: 271-284 (1993).
[4] Clement T.P., Peyton B.M., Skeen R.S., Jennings D.A., Peterson J.N., Microbial Growth and Transport in Porous Media under Denitrification Conditions: Experiment and Simulations, Journal of Contaminant Hydrology, 24: 269-285 (1997).
[5] Nasrabadi H., Ghorayeb K, Firoozabadi A., Two-Phase Multicomponent Diffusion and Convection for Reservoir Initialization, SPE Reservoir & Engineering, 530-542 (2006).
[7] Gogoi B.K., Dutta N.N., Goswami P., Krishna Mohan T.R., A Bioremediation of Petroleum-Hydrocarbon Contaminated Soil at a Crude Oil Spill Site, Advances in Environmental Research, 7: 767-782 (2002).
[8] Najafi S.H., Hajinezhad H., Solving One-dimensional Advection-Dispersion with Reaction Using Some Finite-Difference Methods, Applied Mathematical Sciences, 2(53): 2611-2618 (2008).
[9] Sanjaya F., Mungkasi S., A Simple but Accurate Explicit Finite Difference Method for the Advection-Diffusion Equation, International Conference on Science and Applied Science 2017. IOP Publishing IOP Conf. Series: Journal of Physics: Conf. Series 909 (2017).
[10] Chenys K., Mertens J., Diels J., Smolders E., Springael.: Monod Kinetics Rather Than a First-Order Degradation Model Explain Atrazine Fate in Soil Mini- Columns: Implications for Pesticide Fate Modelling, Environmental Pollution, 158(5): 1405-1411 (2010).
[11] Tiktak A., van der Linden A.M.A., Swartjes F., “ A One Dimensional Model for Assesssing Leaching and Accumulation of Pesticides in Soil”, RIVM report, 715501003, Bilthoven the Netherlands. Pestras: (1994).
[12] Dubus I.G., Beulke S., Brown C.D., Gottesburen B., Dieses A., Inverse Modelling for Estimating Sorption and Degradation Parameters for Pesticides, Pest Management Science, 60(9): 859–874 (2004).
[13] Simunek J., Sejrta M., Saito H., Sakai M., van Genuchten M.T., The FIYDRUS-1D Software Package for Simulating the One-Dimensional Movement of Water, Heat, and Multiple Solutes in variably-Saturated Media, Department of Environmental Sciences, University of California Riverside, Riverside. (2005).
[14] Alexander, M.: Biodegradation and Bioremediation. 2nd Edition, Academic Press, New York. (1999).
[15] De Wilde T., Mertens J., Simunek J., Sniegowksi K., Ryckeboer J., Jaeken P., Springael D., Spanoghe P., Characterizing Pesticide Sorption and Degradation in Microscale Biopurification Systems Using Column Displacement Experiments, Environmental Pollution, 157(2): 463–473 (2009).
[16] Sniegowski K., Mertens J., Diels J., Smolders E., Springael D., Inverse Modelling of Pesticide Degradation and Pesticide-Degrading Population Size Dynamics in a Bioremediation System: Parameterizing the Monod Model, Chemosphere, 75(6): 726–731 (2009).
[17] Lojan J.D., Transport Modelling in Hydrogeochemical System, Interdisciplinary Applied Mathematics, XIV: 29-73 (2001). 
[18] Bertelkamp C., Reungoat J., Cornelissen E.R., Singhal N., Reynisson J., Cabo A.J., van der Hoeka J.P., Verliefde, A.R.D., Sorption and Biodegradation of Organic Micropollutants During River Bank Filtration: A Laboratory Column Study, Water Research, 52: 231-241 (2014).
[19] Mostinsky I.L., Diffusion Coefficient, in “International Encyclopedia of Heat and Mass Transfer”, Hewitt G.F., Shires G.L., Polezhaev Y.V., (eds.), CRC Press, Florida (1996).
[20] Lawrence, A. W., McCarty, P. L.: Unified Basis for Biological Treatment, Design and Operation, J. Sanit. Eng. Div. Proc. ASCE, 96: 757-778 (1970).
[21] Versteeg H.K., Malalasekera W., “Introduction to Computational Fluid Dynamic. the Finite Volume Method”. 2nd ed. Longman Group Ltd, England (2005).
[22] Amos B.K., Suchomel\, E.J., Pennell\ K.D., Löffler F.E., Spatial and Temporal Distributions of Geobacterlovleyi and Dehalococcoides spp. During Bioenhanced PCE-NAPL Dissolution. Environmental Sciences and Technology, 43: 1977–1985 (2009)
[23] Chen M., Abriola L.M., Amos B.K., Suchomel E.J., Pennell K.D., Löffler F.E., Microbially Enhanced Dissolution and Reductive Dechlorination of PCE by a Mixed Culture: Model Validation and Sensitivity Analysis, Journal Contamination and Hydrology, 151: 117–130 (2013).
[24] Kapellos G.E., Paraskeva C.A, Kalogerakis N., Doyle P.S., Theoretical Insight into the Biodegradation of Solitary Oil Microdroplets Moving through a Water Column, Bioengineering, 5(1): 15(2018).
[25] Godongwana B., Effectiveness Factors and Conversion in a Biocatalytic Membrane Reactor. PLoS ONE, 11(4):     -     (2016).