Monitor Distillation Column Operation to Predict and Prevent Failures

Course Id:  EAP151   |   Duration:  1.00 day(s)   |   CEUs Awarded:  0.7   |   Level:  Introductory

Course Objective

Process industries around the world are losing billions of dollars due to unplanned downtime and off-spec production. Distillation column failures are one of the most common causes for these issues. In this course, students will learn to predict and prevent column failures like flooding to avoid situations like process unit shutdown.


Process Engineers, Plant Operators, and Data Analysts who would like to monitor column operation in real time and predict column related failures


Clear guidance on fundamental topics

  • Industry workflows
  • Hands-on workshops
  • Experienced instructor-guided demonstrations
  • Q&A on student-specific problems


Familiarity with process simulation is preferred, but not required.

Class Schedule

Class Agenda

EAP151: Monitor Distillation Column Operation to Predict and Prevent Failures

Aspen Pattern Matching 

  • Overview of the use of patterns in time series data
  • Pattern signatures
  • Finding patterns using the Pattern Search 
  • Documenting patterns and events with comments and annotations
  • Using comment searching to find interesting patterns
Column Analytics
  • The real-time dashboard overview
  • Operator Guidance
  • Data and Instrument Validation
  • Model calibration
  • Validation using historical and real time data
  • Workshop:  Create and configure a column analytic to enable operators and plant engineers to minimize column operating issues

Aspen Technology, Inc. awards Continuing Education Units (CEUs) for training classes conducted by our organization. One CEU is granted for every 10 hours of class participation.