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Scheduling pumpoff operations in onshore oilfields under electric-power constraints

Author

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  • Camponogara, Eduardo
  • Oliveira, Mateus Dubiela
  • Aguiar, Marco Aurélio Schmitz de

Abstract

In onshore oilfields, several sucker-rod pumps are deployed over a large geographic area to lift oil from the bottom of production wells. Powered by electric rotary machines, the rod pumps operate according to cyclic control policies that alternate between on and off pumping periods which are designed to drive maximum production. This cyclic behavior gives rise to the problem of scheduling pumpoff operations in order to minimize the system power peak and thereby smoothen the power-consumption profile. To this end, this paper develops MILP formulations for the coordination of control policies and their reconfiguration during operations. Following a column-based approach or using integer variables to model the power-consumption profile, the resulting MILP formulations are put to the test in a host of synthetic, but representative oilfields.

Suggested Citation

  • Camponogara, Eduardo & Oliveira, Mateus Dubiela & Aguiar, Marco Aurélio Schmitz de, 2015. "Scheduling pumpoff operations in onshore oilfields under electric-power constraints," European Journal of Operational Research, Elsevier, vol. 247(3), pages 945-956.
  • Handle: RePEc:eee:ejores:v:247:y:2015:i:3:p:945-956
    DOI: 10.1016/j.ejor.2015.06.001
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    References listed on IDEAS

    as
    1. Codas, Andrés & Camponogara, Eduardo, 2012. "Mixed-integer linear optimization for optimal lift-gas allocation with well-separator routing," European Journal of Operational Research, Elsevier, vol. 217(1), pages 222-231.
    2. P. C. Gilmore & R. E. Gomory, 1961. "A Linear Programming Approach to the Cutting-Stock Problem," Operations Research, INFORMS, vol. 9(6), pages 849-859, December.
    3. 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.
    4. Cynthia Barnhart & Ellis L. Johnson & George L. Nemhauser & Martin W. P. Savelsbergh & Pamela H. Vance, 1998. "Branch-and-Price: Column Generation for Solving Huge Integer Programs," Operations Research, INFORMS, vol. 46(3), pages 316-329, June.
    5. George B. Dantzig & Philip Wolfe, 1960. "Decomposition Principle for Linear Programs," Operations Research, INFORMS, vol. 8(1), pages 101-111, February.
    6. Juan Pablo Vielma & Shabbir Ahmed & George Nemhauser, 2010. "Mixed-Integer Models for Nonseparable Piecewise-Linear Optimization: Unifying Framework and Extensions," Operations Research, INFORMS, vol. 58(2), pages 303-315, April.
    7. Silva, Thiago Lima & Camponogara, Eduardo, 2014. "A computational analysis of multidimensional piecewise-linear models with applications to oil production optimization," European Journal of Operational Research, Elsevier, vol. 232(3), pages 630-642.
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