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A History of Mathematical Programming in the Petroleum Industry

Author

Listed:
  • C. E. Bodington

    (Chesapeake Decision Sciences, Inc., PO Box 275, San Anselmo, California 94960)

  • T. E. Baker

    (Chesapeake Decision Sciences, Inc., 200 South Street, New Providence, New Jersey 07974)

Abstract

The petroleum industry's extensive use of LP-based operations planning models is well known and often cited as a major triumph of applied operations research. However, few people outside of the petroleum industry realize the degree to which mathematical programming concepts and techniques have penetrated all facets of the oil business from strategic planning through process control. Mathematical programming techniques have been developed and applied, decade by decade, from the 1940s to the present and hold even greater potential for the 1990s.

Suggested Citation

  • C. E. Bodington & T. E. Baker, 1990. "A History of Mathematical Programming in the Petroleum Industry," Interfaces, INFORMS, vol. 20(4), pages 117-127, August.
    • Handle: RePEc:inm:orinte:v:20:y:1990:i:4:p:117-127
    DOI: 10.1287/inte.20.4.117
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    Cited by:

    1. Akshay Gupte & Shabbir Ahmed & Santanu S. Dey & Myun Seok Cheon, 2017. "Relaxations and discretizations for the pooling problem," Journal of Global Optimization, Springer, vol. 67(3), pages 631-669, March.
    2. Ying-Ju Chen & Brian Tomlin & Yimin Wang, 2017. "Dual Coproduct Technologies: Implications for Process Development and Adoption," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 692-712, October.
    3. Saul I. Gass, 2002. "The First Linear-Programming Shoppe," Operations Research, INFORMS, vol. 50(1), pages 61-68, February.
    4. Luss, Hanan & Rosenwein, Moshe B., 1997. "Operations Research applications: Opportunities and accomplishments," European Journal of Operational Research, Elsevier, vol. 97(2), pages 220-244, March.
    5. Chen, Ruoran & Deng, Tianhu & Huang, Simin & Qin, Ruwen, 2015. "Optimal crude oil procurement under fluctuating price in an oil refinery," European Journal of Operational Research, Elsevier, vol. 245(2), pages 438-445.
    6. de Barros, Marisa Maia & Szklo, Alexandre, 2015. "Petroleum refining flexibility and cost to address the risk of ethanol supply disruptions: The case of Brazil," Renewable Energy, Elsevier, vol. 77(C), pages 20-31.
    7. Guajardo, Mario & Kylinger, Martin & Rönnqvist, Mikael, 2013. "Speciality oils supply chain optimization: From a decoupled to an integrated planning approach," European Journal of Operational Research, Elsevier, vol. 229(2), pages 540-551.
    8. Ted Kutz & Mark Davis & Robert Creek & Nick Kenaston & Craig Stenstrom & Margery Connor, 2014. "Optimizing Chevron’s Refineries," Interfaces, INFORMS, vol. 44(1), pages 39-54, February.
    9. Nats Esquejo & Kevin Miller & Kevin Norwood & Ivan Oliveira & Rob Pratt & Ming Zhao, 2015. "Statistical and Optimization Techniques for Laundry Portfolio Optimization at Procter & Gamble," Interfaces, INFORMS, vol. 45(5), pages 444-461, October.
    10. Ulstein, Nina Linn & Nygreen, Bjorn & Sagli, Jan Richard, 2007. "Tactical planning of offshore petroleum production," European Journal of Operational Research, Elsevier, vol. 176(1), pages 550-564, January.
    11. Draman, Murat & Kuban Altinel, I & Bajgoric, Nijaz & Tamer Unal, Ali & Birgoren, Burak, 2002. "A clone-based graphical modeler and mathematical model generator for optimal production planning in process industries," European Journal of Operational Research, Elsevier, vol. 137(3), pages 483-496, March.
    12. Persson, Jan A. & Gothe-Lundgren, Maud, 2005. "Shipment planning at oil refineries using column generation and valid inequalities," European Journal of Operational Research, Elsevier, vol. 163(3), pages 631-652, June.
    13. Frederic H. Murphy, 2001. "The Practice of Operations Research and the Role of Practice and Practitioners in INFORMS," Interfaces, INFORMS, vol. 31(6), pages 98-111, December.
    14. Chryssolouris, George & Papakostas, Nikolaos & Mourtzis, Dimitris, 2005. "Refinery short-term scheduling with tank farm, inventory and distillation management: An integrated simulation-based approach," European Journal of Operational Research, Elsevier, vol. 166(3), pages 812-827, November.

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