An Adaptive Infinite Horizon Model Predictive Control Strategy Applied to an ESP-lifted Oil Well System

Santana, Bruno A.; Fontes, Raony M.; Schnitman, Leizer; Martins, Márcio A. F.

doi:10.1016/j.ifacol.2021.08.238

Cited by 11 publications

(4 citation statements)

References 10 publications

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“…To overcome the limitations from [12,13], Santana et al [15] proposed an adaptive and feasible zone IHMPC scheme based on Fontes et al [11], applying successive linearization of a nonlinear phenomenological model to accommodate the complexities and uncertainties present in the ESP-equipped systems and directly dealing with the pump envelope constraints. However, this strategy does not have robustly stabilizing properties, despite the performance improvement compared to the linear model-based IHMPC [11].…”

Section: State Of the Art And Related Workmentioning

confidence: 99%

Embedded MPC Strategies for ESP-Lifted Oil Wells: Hardware-in-the-Loop Performance Analysis of Nonlinear and Robust Techniques

et al. 2023

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This paper proposes embedded model predictive control strategies for oil-production processes equipped with electric submersible pump (ESP) installations. The novelty of this paper is the robustness and computational performance analysis of the Robust Infinite-Horizon Model Predictive Controller (RIHMPC) and Nonlinear Model Predictive Controller (NMPC) strategies, which have not yet been documented by the oil and gas exploration and production literature. The proposed method to embed the control laws is flexible with different hardware and is based on automatic code generation, which facilitates the project workflow. Hardware-in-the-loop simulation cases were used to compare the performance of both control strategies embedded in the Teensy 4.1 microcontroller, using key indices for real applications. The results showed that the RIHMPC strategy is a very promising alternative for real-time operation in ESP-lifted oil wells, with overall performance similar to the NMPC controller, even in noisy and plant–model mismatch scenarios, and using only linear models in its formulation.

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Section: State Of the Art And Related Workmentioning

confidence: 99%

Embedded MPC Strategies for ESP-Lifted Oil Wells: Hardware-in-the-Loop Performance Analysis of Nonlinear and Robust Techniques

et al. 2023

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“…The dynamic model with ESP in Sharma and Glemmestad [2] is mainly relevant for the production of heavy oil. Several papers use this model in advanced industrial control studies, including Krishnamoorthy et al [5], Santana et al [6], Delou et al [7].…”

Section: Introductionmentioning

confidence: 99%

Electric Submersible Pump Lifted Oil Field: Basic Model for Control, and Comparison of Simulation Tools

Lie

2024

Energies

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Optimal operation of petroleum production is important in a transition from energy systems based on fossil fuel to sustainable systems. One sub-process in petroleum production deals with transport from the (subsea) well-bore to a topside separator. Good control design for such operation requires a dynamic model of the petroleum flow from the well-bore to the separator. Here, such a dynamic model is considered for liquid production (oil/water) using an electric submersible pump (ESP) to aid in counteracting gravity and friction forces. Based on an existing model used for industrial control design, one goal is to report a complete dynamic model in a single paper. Emphasis is put on dimensionless equipment models for the simple change of units, and the model is developed from physical laws for easy replacement of sub-models, if needed. All the necessary information (equations, parameters) for model implementation is provided, and two candidate equation-based modeling languages are selected and compared: Modelica and ModelingToolkit [MTK] for Julia. The simulation results are virtually identical for the two languages and make sense from physics; however, there is a minor discrepancy in one plot—likely caused by slight differences in accuracy in handling initialization in the implicit algebraic equations. The implementation structures of the model in Modelica and MTK are similar. Modelica is a mature and excellent modeling tool, handles large-scale models, and has tools for producing C code and integration with other tools. MTK is still in rapid development, supports more model types than Modelica, and is integrated in an eco-system with excellent support for control design, optimization, model fitting, and more. To illustrate the suitability of using the developed model for control design, a simple PI controller is designed within the eco-system of MTK/Julia.

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“…The model with ESP in Sharma ( 2014) is mainly relevant for the production of heavy oil. Several papers use this model in advanced industrial control studies Krishnamoorthy et al (2016); Santana et al (2021. Mixtures of liquid oil and water form an emulsion when stirred (e.g., in a multi-stage ESP); for such emulsions, the viscosity -and hence the frictionvaries dramatically with water content, Justiniano & Romero (2021).…”

Section: Introductionmentioning

confidence: 99%

ESP Lifted Oil Field: Core Model, and Comparison of Simulation Tools

Lie

2023

Linköping Electronic Conference Proceedings

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Optimal operation of petroleum production is important in a transition from energy systems based on fossil fuel to sustainable systems. One sub-process in petroleum production deals with transport from the (subsea) well-bore to a topside separator. Here, a simple model in Sharma & Glemmestand (2014) has been streamlined into a dynamic model suitable for illustration of the dynamics of oil transport, as well for control studies. The advantages of using dimensionless equipment models are emphasized. The model is then used to compare two popular modeling languages: Modelica, and ModelingToolkit for Julia. Key advantages and disadvantages of these two languages are emphasized.

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An Adaptive Infinite Horizon Model Predictive Control Strategy Applied to an ESP-lifted Oil Well System

Cited by 11 publications

References 10 publications

Embedded MPC Strategies for ESP-Lifted Oil Wells: Hardware-in-the-Loop Performance Analysis of Nonlinear and Robust Techniques

Embedded MPC Strategies for ESP-Lifted Oil Wells: Hardware-in-the-Loop Performance Analysis of Nonlinear and Robust Techniques

Electric Submersible Pump Lifted Oil Field: Basic Model for Control, and Comparison of Simulation Tools

ESP Lifted Oil Field: Core Model, and Comparison of Simulation Tools

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