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Mixed-integer linear optimization for optimal lift-gas allocation with well-separator routing

Listed author(s):
  • Codas, Andrés
  • Camponogara, Eduardo
Registered author(s):

    The lift-gas allocation problem with well-separator routing constraints is a mixed-integer nonlinear program of considerable complexity. To this end, a mixed-integer linear formulation (compact) is obtained by piecewise-linearizing the nonlinear curves, using binary variables to express the linearization and routing decisions. A new formulation (integrated) combining the decisions on linearization and routing is developed by using a single binary variable. The structures of both formulations are explored to generate lifted cover cuts. Numerical tests show that the solution of the integrated formulation using cutting-plane generation is faster in spite of having more variables than the compact formulation.

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    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 217 (2012)
    Issue (Month): 1 ()
    Pages: 222-231

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    Handle: RePEc:eee:ejores:v:217:y:2012:i:1:p:222-231
    DOI: 10.1016/j.ejor.2011.08.027
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    1. Camponogara, Eduardo & Nakashima, Paulo H.R., 2006. "Solving a gas-lift optimization problem by dynamic programming," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1220-1246, October.
    2. Kaparis, Konstantinos & Letchford, Adam N., 2008. "Local and global lifted cover inequalities for the 0-1 multidimensional knapsack problem," European Journal of Operational Research, Elsevier, vol. 186(1), pages 91-103, April.
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