Process Optimization

If you’re building a new plant or adding new equipment, it’s important to know ahead of time where the bottlenecks will be and options for eliminating them.  Surprises at start-up are costly.  Fortunately, they’re also avoidable.

Traditionally, static “steady-state” analysis is used to verify that the equipment components are all capable of meeting production goals.  Unfortunately, such analyses neglect the dynamic response of machines to production upsets, and they ignore the impact of uncertainty on the overall system.  Often the result is a system that runs at quota only in the best case scenario, and falls short the rest of the time.

In order to account for these effects, and reduce the risk of disappointment at start-up, Talos advocates constructing a statistical model of the system before it’s built.  Operation of the system can then be simulated to identify potential problems, and necessary adjustments to the design can be made early.

Once the plant is operational, the model becomes a useful tool for exploring potential improvements.  Modifications can be made and tested in the computer model with minimal risk.  The results of the simulation can be used to justify capital expenditures with a greater degree of confidence than would be possible otherwise.

If you’d like to learn more about Talos’ process modeling and optimization services, please don’t hesitate to contact us.