Abstract: Based on the catalytic cracking reaction mechanism and product distribution characteristics, a 12-lump reaction network for heavy oil catalytic cracking including 54 virtual reaction paths was established. The mathematical equations of the model are transformed into a programming language with the Python platform on the basis of experiment data in Davison Circulating Riser (DCR) apparatus. The kinetic parameters of the model were calculated by the fourth order Runge-Kutta algorithm applied to sovle the model differential equations and the BFGS algorithm applied to optimize the objective function. Validation of model parameters showed that the relative errors between the calculated and experimental values for the main products were all below 5%. This indicates that the kinetic parameters of the model are reliable, and can better reflect the reaction rules for heavy oil catalytic cracking. The model can be further used to simulate and optimize practical production processes.

Key words: RFCC, lump, kinetic model, parameter estimation