Title : Application of the Michaelis-Menten formalism to hydrocracking-related reactions and analysis of the features of the reactors
Abstract:
I establish a comprehensive theoretical foundation for the catalytic hydrocracking of heavy residues, focusing on vacuum residues derived from both coal and petroleum resources. The strategic upgrading of these complex heavy oils centers on crucial industrial chemical objectives, including significantly decreasing fluid viscosity, lowering product boiling points, achieving effective demetallisation, leveling out structural impurities, and increasing the overall hydrogen-to-carbon ratio. Building upon previous historical instances of metallic-catalyst hydrocracking systems, this research models these intricate multi-phase reaction networks utilizing a rigorous mathematical framework grounded entirely in the properties of Markov chains.
Differing substantially from traditional modeling methodologies established in earlier literature, this research introduces the Galerkin representation for the transition probability matrix. This specific matrix is constructed directly from the fundamental matrix governing the physical refining process itself. This mathematical formulation provides an exceptional advantage for accurately describing the continuous time-dependent evolution of both the structural eigenvalues and the system Mean First Passage Times. The chosen probability matrix representation is explicitly independent of and inequivalent to previous historical frameworks. By altering how the time evolution of the individual vector states is mathematically expressed, this formulation yields vastly superior stability. For instance, applying this specialized Galerkin framework to the benchmark Alberty Case II system analytically proves that non-physical numerical oscillations are completely eliminated.
The overall structure of the paper begins with an initial interrogations from MacDonald hydrocracking formulations before expanding into a detailed methodological exposition. This includes the exact mathematical normalization of reaction rates, the specific derivation of eigenvalues, and numerical applications for calculating state time evolution. Furthermore, explicit analytical expressions are spelled out to detail how the transition matrices map the changing chemical states. Finally, I outline critical prospective future studies made possible by this new analytical framework, thus I provide with new insights about advanced industrial petroleum refinery chemical engineering optimization methodlogies.

