Refinery Simulation Practice
Refinery Simulation Practice brings together practical engineering solutions, real-world case studies, and best practices for solving complex simulation challenges. This section demonstrates how simulation modeling is applied to the oil and gas industry, including petroleum refining, production planning, logistics, tank farms, pipelines, storage systems, and digital twins. Based on real industrial projects and engineering experience, these articles explain modeling approaches, design decisions, optimization techniques, common pitfalls, and proven solutions that help build accurate, reliable, and efficient simulation models.
First published: August 06, 2026
Why Maximum Product Yield Is Not a Property of the RefineryRefinery product slate optimization is often formulated as finding the minimum and maximum production of each product under a fixed feedstock composition. This article explains why such a formulation has no unique solution and shows how operating scenarios, process constraints, and production strategies define the feasible product slate. It also discusses why mathematical optimization models provide a more reliable approach than repeated scenario enumeration.
