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.
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An oil refinery is an industrial process plant where crude oil is processed and refined into more useful petroleum products, such as petrol / gasoline, diesel fuel, lubricant oils, asphalt, heating oil and kerosene. Oil refineries are typically large sprawling industrial complexes with extensive piping running throughout, carrying streams of fluids between large chemical processing units.
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.
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.
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