Full Description
Clearly divided into three main sections, this practical book familiarizes readers with the area of planning in petroleum refining and petrochemical industry, while introducing several planning and modeling strategies encompassing single site refinery plants, multiple refinery networks, petrochemical networks, and refinery and petrochemical planning systems. It equally provides an insight into possible research directions and recommendations for the area of refinery and petrochemical planning.
Furthermore, several appendices are included to explain the general background necessary, including stochastic programming, chance constraint programming, and robust optimization.
For engineers and managers working in the petroleum industry as well as academic researchers in production, logistics, and supply chain management.
Contents
PART I: Background
PETROLEUM REFINING AND PETROCHEMICAL INDUSTRY OVERVIEW
Refinery Overview
Mathematical Programming in Refining
Refinery Configuration
Petrochemical Industry Overview
Petrochemical Feedstock
Refinery and Petrochemical Synergy Benefits
PART II: Deterministic Planning Models
PETROLEUM REFINERY PLANNING
Production Planning and Scheduling
Operations Practices in the Past
Types of Planning Models
Regression-Based Planning: Example of the Fluid Catalytic Cracker
Artificial-Neural-Network-Based Modeling: Example of Fluid Catalytic Cracker
Yield Based Planning: Example of a Single Refinery
General Remarks
MULTISITE REFINERY NETWORK INTEGRATION AND COORDINATION
Introduction
Literature Review
Problem Statement
Model Formulation
Illustrative Case Study
Conclusion
PETROCHEMICAL NETWORK PLANNING
Introduction
Literature Review
Model Formulation
Illustrative Case Study
Conclusion
MULTISITE REFINERY AND PETROCHEMICAL NETWORK INTEGRATION
Introduction
Problem Statement
Model Formulation
Illustrative Case Studies
Conclusion
PART III: Planning Under Uncertainty
PLANNING UNDER UNCERTAINTY FOR A SINGLE REFINERY PLANT
Introduction
Problem Definition
Deterministic Model Formulation
Stochastic Model Formulation
Analysis Methodology
Illustrative Case Study
General Remarks
ROBUST PLANNING OF MULTISITE REFINERY NETWORKS
Introduction
Literature Review
Model Formulation
Sample Average Approximation (SAA)
Illustrative Case Study
Conclusion
ROBUST PLANNING FOR PETROCHEMICAL NETWORKS
Introduction
Model Formulation
Value to Information and Stochastic Solution
Illustrative Case Study
Conclusion
STOCHASTIC MULTISITE REFINERY AND PETROCHEMICAL NETWORK INTEGRATION
Introduction
Model Formulation
Scenario Generation
Illustrative Case Study
Conclusion
APPENDIX A: Two-Stage Stochastic Programming
APPENDIX B: Chance Constrained Programming
APPENDIX C: SAA Optimal Solution Bounding
