Planning and Integration of Re

Khalid Y. Al- Qahtani, Ali Elkamel

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Verlag:: Wiley-VCH, 08/2010
Einband:: Fester Einband
ISBN-13:: 9783527326945
Copyright-Jahr:: 2010
Gewicht:: 517 g
Maße:: 247 x 178 mm
Stärke:: 18 mm
Erscheinungstermin:: 15.8.2010

Kurzbeschreibung

This book provides readers with a detailed understanding of the planning, integration and coordination of multisite refinery and petrochemical networks using proper deterministic and stochastic techniques. The book addresses both the petroleum industry and academic researchers.

Beschreibung

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.

Inhaltsangabe

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 Fluid Catalytic Cracker
ANN Based Planning: 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
PART III: Planning under Uncertainty
PLANNING UNDER UNCERTAINTY OF A SINGLE REFINERY PLANT
Introduction
Problem Definition
Deterministic Model Formulation
Stochastic Model Formulation
Analysis Methodology
Illustrative Case Study
Conclusion
ROBUST PLANNING OF MULTISITE REFINERY NETWORKS
Introduction
Literature Review
Model Formulation
Sample Average Approximation (SAA)
Illustrative Case Study
Conclusion
ROBUST PLANNING OF 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

Biografie (Khalid Y. Al- Qahtani)

Dr. Khalid Al-Qahtani is a senior process engineer at Saudi Aramco, Saudi Arabia. He holds a B.S. in Chemical Engineering from the King Fahd University of Petroleum & Minerals and a Ph.D. in Chemical Engineering from the University of Waterloo, Canada. He has worked in the petroleum industry for more than 10 years. Dr. Al-Qahtani is a process and project engineer specializing in the fields of oil treatment, gas processing and refining operations. Dr. Al-Qahtani is a member of different scientific societies and published his work in several refereed journals and international conferences.

Biografie (Ali Elkamel)

Ali Elkamel is a professor of Chemical Engineering at the University of Waterloo, Canada. He holds a B.S. in Chemical and Petroleum Refining Engineering and a B.S. in Mathematics from Colorado School of Mines, an M.S. in Chemical Engineering from the University of Colorado-Boulder, and a PhD in Chemical Engineering from Purdue University. Prof. Elkamel's specific research interests are in computer-aided modeling, optimization, and simulation with applications to the petroleum and petrochemical industry. Prior to joining the University of Waterloo, he was at Purdue University, P&G, Italy, Kuwait University, and the University of Wisconsin, Madison. He has also taught a number of short courses to industry, including optimization and cost awareness, quantitative decision making, computer-aided problem solving, refinery economics and planning, and practical process engineering. He has contributed more than 200 publications in refereed journals and international conference proceedings and serves on the editorial board of several journals.