An MPC auto-tuning framework for tracking economic goals of an ESP-lifted oil well

Fontes, Raony M.; Santana, Daniel D.; Martins, Márcio A. F.

doi:10.1016/j.petrol.2022.110867

Cited by 6 publications

(2 citation statements)

References 23 publications

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“…Recently a high-fidelity model of a single ESP well was proposed in [16] to be used as a surrogate model for the real plant. This model was used in [17] to propose an economic-oriented MPC autotuning strategy with a flexible structure able to enclose different MPC formulations, different tuning requirements, online implementation, and process attributes. An Echo State Neural Network was trained in [18] to capture the dynamic model of ESP well.…”

Section: Introductionmentioning

confidence: 99%

Short-Term Production Optimization for Electric Submersible Pump Lifted Oil Field With Parametric Uncertainty

Janatian,

Sharma

2023

IEEE Access

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This paper uses a scenario-based optimization method to address the Daily Production Optimization from an Electric Submersible Pump lifted oil field under the presence of uncertainty. The primary contribution of this work lies in addressing the presence of uncertainty in short-term production optimization of the oil industry, a significant aspect that is frequently overlooked. It has been shown that using the dynamic model of the plant in the optimization problem is too computationally expensive, even in a deterministic case. Therefore, the steady-state model of the system has been used in a robust optimization framework. The necessity of considering uncertainty in the optimization problem and the promising results of the proposed robust method is compared with the deterministic optimization counterpart. An additional novelty of this study involves the utilization of a scenario-based optimization framework to explore various forms of uncertainty, including uncertainty in well flow parameters and oil price. It has been shown that the uncertainty in oil price does not affect the optimal solution during normal operation, at least in short-term optimization such as Daily Production Optimization. On the contrary, the uncertainty in the well parameters is important to be considered since well flow parameters influence the optimizer in preferring one well over the other. Consequently, the economic objective for the lucrative business of the oil industry will be translated into production maximization, and the optimizer's task involves allocating the total production capacity among the different wells to maximize the proportion of the oil to water in the produced fluid.

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Section: Introductionmentioning

confidence: 99%

Short-Term Production Optimization for Electric Submersible Pump Lifted Oil Field With Parametric Uncertainty

Janatian,

Sharma

2023

IEEE Access

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“…As a result, the paper considers an urgent task to be optimizing the power consumption of the ESP and the efficiency of its operation. The main methods for optimizing the operation of the ESP are the correct selection of the pump by using the methods of nodal analysis, the introduction of new technologies and equipment, the optimization of the ESP's operation mode, the introduction of control systems, and the automation of the production process and the fight against complications [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Development of a Method for Improving the Energy Efficiency of Oil Production with an Electrical Submersible Pump

et al. 2023

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Most of the operating oil fields are in the late stages of development, in which special attention is paid to the oil production energy efficiency. In accordance with the trend toward the digitalization of technical processes, intelligent control stations for production wells are currently being developed, one of the main tasks of which is to maintain the equipment operation in an optimal mode. This work aims to develop a methodology for selecting an energy-efficient well operation mode by choosing the methods for controlling an electrical submersible pump. To solve this problem, a mathematical apparatus for calculating power consumption is presented, which considers the well pressure curve, while taking into account its degradation when pumping reservoir fluids, the fluids’ properties, the supply of demulsifier, and the equipment’s operating parameters. Based on the simulation results, it is revealed that the optimal method for controlling electrical submersible pump installations is a combination of frequency control and choke control. The reduction in specific power consumption with the combined control relative to the use of separate control types is up to 7.30%, and in the case of additional use of a demulsifier, it is up to 12.01%. The developed algorithms can be implemented based on programmable logic controllers of intelligent control stations.

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Embedded predictive controller based on fuzzy linear parameter-varying model: A hardware-in-the-loop application to an ESP-lifted oil well system

Matos

Santana

Chagas

et al. 2022

Digital Chemical Engineering

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An MPC auto-tuning framework for tracking economic goals of an ESP-lifted oil well

Cited by 6 publications

References 23 publications

Short-Term Production Optimization for Electric Submersible Pump Lifted Oil Field With Parametric Uncertainty

Short-Term Production Optimization for Electric Submersible Pump Lifted Oil Field With Parametric Uncertainty

Development of a Method for Improving the Energy Efficiency of Oil Production with an Electrical Submersible Pump

Embedded predictive controller based on fuzzy linear parameter-varying model: A hardware-in-the-loop application to an ESP-lifted oil well system

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