Base your decisions on high-fidelity models
The main purpose of a steady state high-fidelity simulation model is to act as a substitute for the real industrial installation. It may be too expensive or disruptive to experiment on the real processes; or perhaps the real processes do not yet exist and are still being designed. Regardless the scenario, a simulation model can perform experiments or what-if studies that can add to your understanding of the real-world system and can identify and compare alternatives that improve the system in some way, usually to reduce costs or increase the throughput, or products quality.
Having accurate models that predict performance over a range of conditions allows hydrocarbon and chemical processing industries to explore the decision space rapidly, effectively and at relatively low cost, resulting in:
With tangible associated benefits: