Some of our customer comments:

"Overall, we have been able to achieve a very fast project payback on our APC projects with the GMAXC controller because of low initial investment and the ability to install and maintain these controllers with in-house staff."

"We believe that GMAXC offered a very competitive license price while still providing all the features of MVPC control"

 

 

 

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Coker Brochure

 

 


IntellOpt’s Intelligent Controller, I-GMAXC is used to control the Delayed Coker in its Normal, Drum Warmup, Drum Switch and Steam Out operating modes. This Gensym/G2™ expert system based controller infers the process mode and automatically reconfigures online the control technology mix between:

Multivariable Predictive Control

Nonlinear Control

Sequence Control

Heuristic Control

to provide optimal control performance for each of the operating modes of this multi-mode process.



The control schemes are designed to achieve the multiple objectives of:

Product Qualities - Maintaining Naphtha and Gas Oil product
   properties, 5% BP, 95% BP, Cloud Point.

Maximizing Throughput by controlling the drum outage level to its
   desired target in every drum change cycle

Maximize fractionator bottoms recovery subject to equipment and
   operating constraints

Maximize energy recovery (steam generation)

Stabilize the operation during drum warmup and switch events

Assist operators

The process of drum switching results in about five basic mass and thermal disturbances in every cycle. Conventional Multivariable Predictive Controller (MVPC) schemes are inadequate during these disturbances and operating mode changes. For better control, the controller needs to adapt to mode changes with controller action changing automatically from a fine tuned MVPC to an ad hoc nonlinear event based action.

The intelligent part of the controller monitors coker drum pressures and temperatures, infers and detects events, and then reformulates the MVPC portion and the technology mix of the controller to deliver the best control action for the specific process condition.

At each execution, information is available for operators and engineers to understand controller actions, active constraints and process predictions. More specific advisory systems can also be customized.

While the controller uses its own dynamic models, Neural Network based inferential predictions for Drum Outage and product properties can also be integrated seamlessly.

A recently completed Delayed Coker application clearly demonstrated the flexibility and superiority of this new generation controller.


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