Mathematical Modeling of Complex Reaction Systems in the Oil and Gas Industry
Монография
Язык |
Английский |
Тип |
Монография |
ISBN |
9781394220052 |
Страниц |
480 |
After more than 30 years of experience working in the kinetic and reactor modeling of different processes for the petroleum and gas industry as well as for environmental protection applications, we have identified the need to have a collection of the most relevant cases that would have great impact on the industry. The general areas that are described in this book correspond to reaction kinetics, catalyst deactivation, reactor model, computational fluid dynamics, and steady-state and dynamics simulations using own experimental data or information reported in the literature.
Mathematical Modeling of Complex Reaction Systems in the Oil and Gas Industry is focused on the step-by-step description of kinetics and reactor modeling of various important processes used in the oil and gas industry. The topics covered in this book are hydrocracking of heavy oils, catalyst deactivation, oxidative regeneration of catalyst, adsorption–desorption catalytic processes, molecular reconstruction, production of green diesel via catalytic hydrotreating, slurry-phase hydrocracking reactor, Fischer–Tropsch synthesis and structured beds of micro-fibrous catalyst. Nowadays, all these topics are relevant to the oil and gas industry, particularly in this era of energy transition
and decarbonization, which makes the book original and unique among previous reactor modeling books.
Each chapter describes the development of kinetic and reactor models for steady-state and dynamic simulations. To develop the kinetic model for each reaction or set of reaction for further reactor modeling, exhaustive experimental data either reported in the literature or generated in own laboratories are used. The developed models are validated with laboratory experimental data and simulation are reported to predict the commercial performance of the involved reactors. In addition, such a modeling in some cases allows for a deeper understanding of the qualitative essence of the phenomena observed in experiments, that is, to apply the augmented reality
approach and make visible what cannot be directly observed in experiments, or at least to reproduce the most plausible picture of the physical events taking place.
This book is expected to be a reference guide for researchers, PhD students, postdoctoral researchers, catalyst manufacturers, process designers, and professors, to help them develop kinetic and reactor models at different reaction scales. It is also anticipated that this textbook can be used to cover part of the content of courses of different carriers at undergraduate and postgraduate levels.