Hatch’s Dynamic Simulation Group combines process and modeling expertise to determine the plant configurations, specifications, and operating strategies that help clients achieve optimal productivity, capital effectiveness, and operational efficiency for both greenfield designs and brownfield expansions.

A simulation represents a process or system with a computerized model that mimics its dynamic behaviour. By considering the system in its totality and not as isolated subsystems, and by explicitly accounting for the elements of time, variability, interferences, random events, and system constraints, all of which tend to contribute to the propagation of delays through a system and reduce production capacity, a dynamic simulation model provides the most realistic, accurate, and powerful means for predicting future production performance of complex systems. Once a model is verified, validated, and tested, it can be used to (1) test and evaluate various what-if scenarios, (2) better understand system capabilities and limitations, (3) opportunities for design improvements, (4) train operators, and (5) develop solutions and strategies for optimizing capital effectiveness and operational efficiency. Static means of analyses, such as spreadsheet models or linear programs, generally fail to capture the effects of system dynamics and therefore tend to overestimate production capacity.

The combination of process and modeling expertise differentiates Hatch from general simulation providers and allows for insightful analysis and innovative solutions. This helps to ensure that projects get done right the first time and that designs are robust enough to allow consistent, reliable, and efficient production performance with neither overinvestment nor underinvestment.