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Optimisation of a Gas-Lifted System with Nonlinear Model Predictive Control

Author

Listed:
  • Ojonugwa Adukwu

    (Department of Telecommunications and Control, University of Sao Paulo, Sao Paulo 05508-010, Brazil
    Department of Industrial and Production Engineering, Federal University of Technology Akure, Akure 340110, Nigeria)

  • Darci Odloak

    (Department of Chemical Engineering, University of Sao Paulo, Sao Paulo 05508-010, Brazil)

  • Fuad Kassab

    (Department of Telecommunications and Control, University of Sao Paulo, Sao Paulo 05508-010, Brazil)

Abstract

A gas-lifted system in a mature oil well can experience casing-heading instability, which reduces the mean oil production and it is not healthy for the downstream equipment. This instability was removed by implementing a terminal equality-constrained nonlinear model predictive control (NMPC) having input targets with control zones in the system. The input-dependent stability behaviour of the gas-lifted system was visualised through the bifurcation diagram and the step responses of the linearised model at various operating points. The controller was then presented. Then, the close-loop feasibility, as well as the convergence, were discussed. The controller stabilised the undisturbed gas-lifted system, improving production by 5.63% compared to the open-loop operation when the system was in casing-heading instability. For the two input case, the steady-state production, aided by the high-input target, reached 12.25 kg/s, which was far more than 9.57 kg/s for the one input case. This controller showed a 3.76% improvement over the PI controller for the same purpose.

Suggested Citation

  • Ojonugwa Adukwu & Darci Odloak & Fuad Kassab, 2023. "Optimisation of a Gas-Lifted System with Nonlinear Model Predictive Control," Energies, MDPI, vol. 16(7), pages 1-24, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3082-:d:1109739
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