By the end of this course, participants will be able to:
• Understand the fundamentals of linear programming and its application in Aspen PIMS.
• Build, modify, and analyze refinery planning models.
• Optimize feedstock selection, product blending, and crude oil evaluation.
• Perform case studies and what-if scenario analyses.
• Improve decision-making and profitability through Aspen PIMS models.
• Integrate Aspen PIMS with other tools for enhanced refinery optimization.

This course is designed for:
• Process Engineers & Planners – Working on refinery and petrochemical plant operations.
• Refinery & Petrochemical Professionals – Involved in production planning and scheduling.
• Supply Chain & Logistics Analysts – Managing crude procurement and product distribution.
• Economists & Financial Analysts – Evaluating refinery margins and investment strategies.
• IT & Systems Professionals – Supporting Aspen PIMS implementation and integration.
• Anyone Involved in Refinery Optimization & Planning – Seeking to enhance decision-making using Aspen PIMS

Day 1: Introduction to Aspen PIMS & Linear Programming Basics

• Overview of Aspen PIMS and its applications
• Fundamentals of linear programming (LP) and its role in refinery planning
• Basic concepts: objective functions, constraints, and variables
• Introduction to the Aspen PIMS interface and model components
• Hands-on session: Navigating Aspen PIMS and reviewing a simple model

Day 2: Building and Running Aspen PIMS Models
• Model structure and components (crudes, products, processes, logistics)
• Data input and output management
• Running optimization cases and interpreting results
• Understanding constraints and model feasibility
• Hands-on session: Creating a simple refinery optimization model

Day 3: Advanced Model Development & Case Studies
• Refinery configurations and process unit modeling
• Feedstock selection and crude oil valuation
• Product blending and quality constraints
• Case study: Optimizing crude selection and production planning
• Hands-on session: Running and analyzing a real-world refinery case

Day 4: Scenario Analysis & Sensitivity Studies
• What-if analysis for demand changes and price fluctuations
• Sensitivity analysis on key model parameters
• Crude price and product margin impact assessment
• Hands-on session: Developing and evaluating multiple planning scenarios
• Best practices for refining economic analysis

Day 5: Integration, Automation & Best Practices
• Integration of Aspen PIMS with other AspenTech tools (HYSYS, Petroleum Scheduler)
• Automating processes with macros and scripting
• Refinery economics and KPI reporting
• Common troubleshooting and debugging techniques
• Final project: Building and optimizing a full refinery model

CDGA attendance certificate will be issued to all attendees completing minimum of 75% of the total course duration.