Feasibility/Control Studies

Our objective is to identify, design and implement advanced automation solutions which will improve your profitability and provide superior return on your automation investment.

Even in relatively new areas of automation solutions for the chemical process industry, our feasibility studies can identify and define potential applications with estimated cost/benefit ratios for your project planning and budgeting.

An example of our study:

APC Benefits Study - To Improve the Plant Operational Profitability By:
  1)  Identifying Opportunities (Data collection, interviews with operations, engineering and    management)
  2)  Assessing Opportunities (Data analysis, debottlenecking, Operating flexibility)
  3) Defining preliminary advanced control strategies to alleviate problems or take
advantage of potential opportunities
  4) Identifying instrumentation and equipment required to implement 
recommended control strategies
  5) Justifying Automation Related Investment (Estimated Costs and Benefits)
  6) Developing project execution plan 

APC works mainly via tighter product quality control. By reducing the quality variance (typically 30% to 50% reduction), production can be achieved closer to the actual specification as shown above.

This reduction in average quality (but, still above specification) results in:

• Lower usage of resources, which can then be realized in raw material savings,
• Energy savings, and
• Capacity availability

 

Real Time Optimization Study: The scope of this Real Time Optimization (RTO) study involved the review of all major refinery operating units (Crude, Vacuum, FCC, HCR, Residue Desulfurizer, Reformer, Gas Plant and Boilers) to identify and quantify potential RTO related benefit areas and to provide a plan for implementing RTO. In studying these process operations, several opportunities for realizing such benefits were identified. These observations were based on interviews with operations and engineers, and model based analysis of plant data, constraints and operating objectives.

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