Models for Optimum Decision Making

1. Front Matter

   Pages i-xiii

   PDF

2. History of Crude Oil Refining

   • Katta G. Murty

   Pages 1-8

3. Operations Inside a Crude Oil Refinery

   • Katta G. Murty

   Pages 9-18

4. How Much Crude Oil Should an Oil Exporting Country Produce Annually for Export?

   • Katta G. Murty

   Pages 19-27

5. Clustering Problems in Offshore Drilling of Crude Oil Wells

   • David Kaufman, Katta G. Murty, Ahmed AlSaati

   Pages 29-42

6. A Product Mix Optimization Application at the Saudi ARAMCO Company, Sadara Chemicals

   • Katta G. Murty

   Pages 43-50

7. Blending Operations in Crude Oil Refineries

   • Katta G. Murty, David Kaufman

   Pages 51-62

8. Crude Oils Blending Problem in Oil Refineries to Prepare Feedstock into the Crude Distillation Unit

   • Katta G. Murty

   Pages 63-67

9. Pump Allocation at a New Zealand Oil Refinery

   • Shane G. Henderson, Geoffrey Gill, Parvati Patel

   Pages 69-77

10. Back Matter

    Pages 79-81

    PDF

This book considers the problem of determining how many barrels of crude oil an oil-producing and exporting country should produce annually for export―along with several other important problems that decision-makers in the crude oil industry face―and discusses procedures for finding optimum solutions for them. It considers the important Objective Functions they need in making these critical decisions, and discusses procedures to find the best solutions. Outputs from the treatment units, in an oil refinery are only semi-finished products; these are blended into finished products like gasoline, diesel oil, etc., meeting various specifications that the marketplace demands. The book discusses models for solving these problems optimally with examples.

• Operations Research
• Mathematical Programming
• Optimum Decision Making
• Crude Oil Production
• Crude Oil Refining
• Decision Making Models

• Industrial and Operations Engineering, University of Michigan, Ann Arbor, USA

  Katta G. Murty

​Katta G. Murty is an Emeritus Professor of industrial and Operations engineering at The University of Michigan, Ann Arbor. Professor Murty teaches graduate and undergraduate courses in linear, integer and non-linear programming and network flows. His recent research includes studies in mathematical programming and its applications as well as research on optimization algorithms. He is the author of eight books on linear and non-linear programming and network flows, and an undergraduate text on Operations Research-Deterministic Optimization Models.

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