Refinery Economics and Profit Improvement

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Agenda

Day 1: The Basics

Introduction and objectives
Introducing the topic - The Concept of Refinery Economics
Industry Challenges
  • Changing crude slate
  • Overcapacity and new players
  • More stringent regulations
Evaluating regional players and their positions
  • Markets
  • Operating environment
  • Assets
Global Energy, Global Oil
Crude Oil, Characteristics, Pricing
  • Quality relationships
  • Assay, Crude Evaluation
Products and Characteristics
  • Product Markets
Oil Refinery, Configurations, Yields
Introduction to Profitability
  • Margin, Crack Spread
  • Refinery expenditures
Adding Value
  • Refiner’s Flexibility and Operational Options
  • Planning and scheduling
  • Decision making hierarchy
  • Tools:
    • Simulation, LP model

Day 2 - Margin Improvement

Excellence in Refining
  • Benchmarking of key areas
  • CAPEX – Effective investing, value creation, capital cost, economic criteria
  • OPEX – what do the pacesetters do?
  • Intro to Operational Excellence
Marginal Economics
  • Marginal valuation
  • Cost of marginal energy
  • Cost of marginal quality
  • Exercise – an intermediate stream value
Profit improvement procedures
  • Approach to profit improvement
  • Seeing the big picture
  • The Process Review – a key activity
Yield Optimisation
  • Objectives, potential
  • Improvement Projects – identification and benefits
  • Road Map

Workshop: Process Review of a Crude Distillation Unit

Day 3 – Sustaining Excellence

Energy cost reduction
  • Energy Efficiency and Refinery Margin
  • Benchmarking and Gap Analysis
  • Built-in Process Inefficiencies
  • The Importance of Steam & Power System
  • The Importance of Equipment Efficiency
  • Heat Integration for high energy efficiency
Improving RAM
Managing Oil Loss
Improving Planning and Scheduling
Realising the Benefits, Managing Change
Petrochemicals Integration
Models of Refinery Integration
Operational Excellence Management Systems (OEMAS)
Effective Use of Big Data
  • Advances in Process Control
  • Machine Learning
  • The Digital Workplace
Knowledge Management
  • The Cloud of Knowledge
  • Capturing and retaining talent
  • Developing internal expertise
Industry Outlook
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