Modeling Thermolysis Macrokinetics of Complex Hydrocarbon Systems

The article considers stochastic mathematical models for thermolysis kinetics of complex oil-like hydrocarbon systems using mathematical statistics and the theory of random processes. Mathematical modeling shows that the thermolysis process is collective, nonergodic, and nonstationary. The criteria for which hydrocarbon systems obey the first order and Avrami kinetic laws are established. Using the example of thermolysis of high-viscosity Al'shacha oil, it is shown that the kinetics of the release of gaseous products of thermolysis are better described by models of stationary kinetics, and the yield of residues and distillates is better described by models of nonstationary kinetics. The established regularities can be used in modeling thermal and thermocanalytic processes of petrochemistry and oil refining.

Automated summary

The article discusses stochastic mathematical models for thermolysis kinetics of complex oil-like hydrocarbon systems. It finds that the thermolysis process is collective, nonergodic, and nonstationary. Based on an example study, it shows that the kinetics of gaseous products release in thermolysis are better described by stationary kinetics models, while the yield of residues and distillates is better described by nonstationary kinetics models.