Virtual laboratories are a software tool used to test simulated systems in a safe way, either to control their processes or adjust their sequences. With this tool we seek to support the development of practices that help the student to better understand the theoretical developments. This type of resource is increasingly used in educational institutions, because it reduces the costs of having real equipment in physical spaces, in exchange for having servers that students can access, without having to travel and without restrictions. temporary to do their practices. Based on this, this paper presents a proposal to perform the control of a virtual isomerization process, which is part of the distillation of crude oil, using predictive control techniques and multivariable control, this with the purpose of evaluating the performance of this type of strategy in industrial processes. The model and its behavior will be analyzed, the aforementioned control techniques will be applied, then they will be compared to find which one best suits the needs of the system. This will allow the process to be completely simulated and controlled in the virtual laboratory, so that the desired tests are done with the students and the difference in response to subsequent modifications can be seen.