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Automation of Refinery Offsite Operations

Automation of Refinery Offsite Operations

3 days
APD/AUTOOFF
Sessions
This course is not scheduled.
Who should attend?

Audience

    • Managers, technical and operating staff interested or involved in product manufacturing.

Level

  • Advanced
  • This course provides a thorough understanding of the product manufacturing principles: in line blending monitored by a global optimizer.
Learning Objectives
  • Upon completion of the course, the participants will be able to:
  • list the key specifications for each product and predict the impact of each component on each property,
  • describe the blending laws used for each product, and explain how they should be used,
  • monitor a blend thanks to the optimizer, and take the necessary actions required by the optimizer messages.
Course Content

GASOLINES, DIESEL FUELS, HEAVY FUELS SPECIFICATIONS

0.5 day

  • Normalized tests used to check specifications.
  • Specifications: Main constraints for the optimizer.
  • Optimization of the blend: notion of give-away and identification of the key constraints.

BASES & ADDITIVES

0.25 day

  • Nature, origin and characteristics of the bases.
  • Additives: best practices for additivation - Properties optimized by additives.

BLENDING LAWS USED BY THE OPTIMIZER

0.75 day

  • Density, octane numbers, cetane numbers, vapor pressure, distillation, cloud point, flash point, viscosities, sulfur.
  • Analyzers: principle; sampling loop; Tank Quality Integration (TQI).
  • Particular case of properties optimized by additives (case of CFPP for Diesel fuel).

BLEND OPTIMIZATION: SP95 & ADO MANUFACTURING

0.75 day

  • Check of base properties - The optimizer requires all the base properties.
  • Ratio constraints due to inventory constraints.
  • Quality constraints (specifications).
  • Economic optimum.
  • Follow up of the blending with the main process view of the application.

BLEND MONITORING

0.5 day

  • Different steps in the calculation of the optimizer - Dynamic optimization of the application.
  • Algorithm principle: integration cycles, optimization cycles, dynamic regulation.
  • Blend manufacturing: how to treat infeasibilities.

UPSETS - STUDY CASES

0.25 day

  • Often result from wrong inputs. Identification of the origin of the problem and corrective measures
  • Switch of the optimizer in model mode in case of analyzer failures during the blend.
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Ways & Means
  • Training content is fully adapted to the refinery blending optimization tool, which is done under confidentiality agreement.