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Home    >>  Training   >>  SuperChems Hands-on Training 


January 13-15, 2010 (Houston, Texas)

Overview

SuperChems™ has developed significantly in recent months, with the Quantitative Risk Analysis (QRA) capability greatly enhancing its proficiencies. This meeting will enable SuperChems™ users to catch up on areas of SuperChems™ which they may not be familiar with, or to enhance their expertise in areas they are already familiar with.

Topics 

  • SuperChems™ overview
  • Emergency relief sizing
  • Header evaluation
  • Consequence modeling
  • Emergency depressurization
  • Visio interface
  • Tutorials
  • Hands-on examples
  • Summary of common models and utilities
  • VLE/Physical and thermodynamic property utilities
  • Output and reporting options

Participants

This meeting will benefit SuperChems™ users of any level. Process industry professionals responsible for performing emergency relief system design, or consequence and risk assessment, will greatly benefit.

Fee

$995

Related Courses

SuperChems User's Group Meeting, January 11-12, 2010

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  •  Meeting Location

    Holiday Inn Houston
    Near the Galleria
           

    3131 West Loop South
    Houston, Texas 77027
    Tel: 713-961-1640

    About SuperChems™

    SuperChems™ is the only fully integrated software application for quantitative risk analysis (QRA) that contains a fully validated set of models and tools to proceed seamlessly through the analysis from the source term to the final risk results. This advanced tool will display consequence and risk results over-layed on GPS maps of the facility under review. SuperChems™ provides a huge improvement in the efficiency of conducting QRAs as well as superior presentation of results.

    This versatile application is also the industry gold standard for design and evaluation of emergency relief systems including vent headers and flares, and thermal hazards assessment of reactive chemicals. Its rigorous modeling capabilities enable companies to conduct detailed consequence and risk analysis in order to make technically sound risk-based decisions.

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