Planning and Integration of Refinery and Petrochemical Operations (ePub)

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

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

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, including the International Journal of Process Systems Engineering, Engineering Optimization, Int. J. Oil, Gas, Coal Technology, and the Open Fuels & Energy Science Journal.

Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.