Control Strategy for Oil Production Wells with Electrical Submersible Pumping Based on the Nonlinear Model-Based Predictive Control Technique

Jorge Andres Prada Mejia, Luis Angel Silva, Julian Andres Pena Florez

    Producción científica: Capítulo del libro/informe/acta de congresoPonencia publicada en las memorias del evento con ISBNrevisión exhaustiva

    1 Cita (Scopus)

    Resumen

    This paper presents a control strategy for the optimization of artificial lift systems (ALS) with electrical submersible pumping (ESP), executing a nonlinear model-based predictive control (NMPC) to manipulate the operating frequency of the pump and control the flow rate through the well, including specific restrictions over the system and considering its present and future behavior. The controller was designed according to a practical approach, considering the field implementation limitations and requirements. It provides significant efficiency and safety features, maximizing the revenue and operating the system in the optimal range, while respecting the system constraints and taking into account its predicted behavior. The control proposal includes the system modelling and its dynamic identification, the design of the NMPC controller, and its configuration and tuning in a simulation environment. The results of the simulation of the control system performance for an existing well are shown.

    Idioma originalInglés
    Título de la publicación alojada2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings
    EditoresJose David Cely Callejas
    EditorialInstitute of Electrical and Electronics Engineers Inc.
    ISBN (versión digital)9781538683729
    DOI
    EstadoPublicada - 5 dic. 2018
    Evento9th IEEE ANDESCON, ANDESCON 2018 - Cali, Colombia
    Duración: 22 ago. 201824 ago. 2018

    Serie de la publicación

    Nombre2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings

    Conferencia

    Conferencia9th IEEE ANDESCON, ANDESCON 2018
    País/TerritorioColombia
    CiudadCali
    Período22/08/1824/08/18

    Nota bibliográfica

    Publisher Copyright:
    © 2018 IEEE.

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