Determination of the temperature distribution of ESP motors under variable conditions of flow rate and loading

Betonico, G.C.; Bannwart, Antonio Carlos; Ganzarolli, Marcelo Moreira

doi:10.1016/j.petrol.2015.02.032

Cited by 7 publications

(5 citation statements)

References 5 publications

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“…Overheating is a primary cause of motor failure, particularly when the motor is forced to work harder or is placed under an unexpected load. As the speed of the motor and, by extension, the rotation of the pump's shaft rises, the moving components get overheated due to the increased friction [29]. Figure 8 displays motor voltage, current, and temperature before two cases of motor temperature failure in Wells 8 and 1.…”

Section: Sfms Associated With Motor Failuresmentioning

confidence: 99%

A Data-Based Reliability Analysis of ESP Failures in Oil Production Wells

Karami¹,

Devegowda²,

AlBallam³

2022

J Energ Power Technol

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Electrical Submersible Pumps (ESPs) are one of the most widely used artificial lift methods in the petroleum industry. However, ESP failures are unanticipated and common occurrences with significant financial impacts for the operators. Analysis of the ESP performance and failures are essential in its design and optimization. This paper presents a statistical approach for diagnosing and evaluating the root causes of ESP failures. The analysis is based on the field data gathered from the surface and downhole ESP monitoring equipment over five years of production of 10 wells. Electrical failures are the most common general cause of ESP failures, accounting for 61% of all failures, followed by motor failure and gas locking. Specifically, power failure, under-voltage, voltage unbalance, and motor underload are the most common occurrences. The data trends are analyzed for the two weeks before each specific failure, and conclusions are made on the warning signs to predict failures. In addition, a Weibull statistical analysis model is constructed to evaluate the reliability features and estimate the ESP failure probability, allowing operators to perform preventive maintenance. The results provide guidelines for ESP operations and contribute to reducing or preventing ESP downtimes and operating costs.

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Section: Sfms Associated With Motor Failuresmentioning

confidence: 99%

A Data-Based Reliability Analysis of ESP Failures in Oil Production Wells

Karami¹,

Devegowda²,

AlBallam³

2022

J Energ Power Technol

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“…The Basic Sediment and Water (BSW) used by Betonico et al (2015), Table 1 is the mass fraction of water present in the fluid produced and can also be obtained by equation ( 7):…”

Section: Homogeneous Modeling Of Two-phase Flowmentioning

confidence: 99%

“…According to Takács (2009), one of the problems that occur in the ESP system is the high heating of the electric motor. This heating occurs during the process of transforming electrical energy into mechanical energy and is caused by the friction resulting from the high rotation of the shaft that drives the pump (Betonico et al, 2015). The process is more inefficient as the temperature increases.…”

Section: Introductionmentioning

confidence: 99%

“…Water (hot fluid) flows through the inner tube, while air (cold fluid) flows through the annular region, in parallel currents. Betonico et al (2015) demonstrated a methodology to calculate the ESP motor temperature, considering the convection phenomenon, and the coupled behavior between motor, pump, and the production system. Noting that the motor temperature is increased when the rotation speed is also increased, the maximum temperature is located at the top of the motor and the minimum temperature at the base.…”

Section: Introductionmentioning

confidence: 99%

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Heat dissipation of the Electrical Submersible Pump (ESP) installed in a subsea skid

Martins

Ribeiro

Pereira

et al. 2020

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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The recent development of Electrical Submersible Pump (ESP) in the skid, installed in the seabed downstream of the wellhead in an offshore oil production system, is an alternative to the conventional system with the set installed at the bottom of the producing well, facilitating interventions in case of failure. The pump is driven by an electric motor whose cooling must be efficient to ensure the continuity of its operation. The heat withdrawal is performed by the fluid produced. The purpose of this article is to understand the process of electric motor cooling to the single-phase and turbulent flow with convection heat transfer in an annular geometry, which represents the space formed between a capsule and the ESP in the Skid system motor. With this objective it is employed a Computational Fluid Dynamics (CFD) code to solve the governing equations of the turbulent heat transfer single-phase flow. The standard κ-ε model with improved wall function (Enhanced Wall Treatment) is used to closure turbulence problem. This study considered flow rates range of 2200–4200 m3/d (representing Reynolds numbers range of 27 000–133 000 approximately), Prandtl numbers 7–37, three configurations of different annular geometries, one concentric and two eccentric, together with the condition of the constant temperature on the motor surface (130 °C) and capsule (4 °C). The simulations are validated by comparing the Nusselt number in the developed region with the Gnielinski correlation. It is observed that if the constant heat flux condition were used, the motor temperature would have lower values at the beginning and larger at the end of the geometry. Therefore, the higher the Nusselt number, the greater the heat transfer, thus intensifying the cooling of the electric motor. In the eccentric geometry a momentum transfer from the lower to the upper annular region is observed, causing the Nusselt number present an angular variation. In eccentric geometries the flow develops in greater lengths, observing that the greater the eccentricity, the greater this length. Finally, for the ESP in the Skid system the use of an eccentric geometry is not adequate.

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“…Electrical faults in shortcircuit or open-circuit windings, mechanical faults in eccentric or bearing damage, permanent magnet demagnetization faults, and coupling faults in which multiple faults affect each other, resulting in a variety of motor faults and coupling characteristics. [11][12][13][14][15][16][17][18][19][20][21] Figure 1 illustrates the coupling methods for multiphysics faults. There are many intricate and strong correlations between the internal structures of the motor.…”

Section: Introductionmentioning

confidence: 99%

Review of intelligent fault diagnosis for permanent magnet synchronous motors in electric vehicles

Xue

Zhang

et al. 2014

Advances in Mechanical Engineering

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Permanent magnet synchronous motors are the main power output components of electric vehicles. Once a failure occurs, it will affect the vehicle’s power, stability, and safety. While as a complex field-circuit coupling system composed of machine-electric-magnetic-thermal, the permanent magnet synchronous motor of electric vehicle has various operating conditions and complicated condition environment. There are various forms of failure, and the signs of failure are crossed or overlapped. Randomness, secondary, concurrency, and communication characteristics make it difficult to diagnose faults. Based on the research of a list of related references, this article reviews the methods of intelligent fault diagnosis for electric vehicle permanent magnet synchronous motors. The research status and development trend of fault diagnosis are analyzed. It provides theoretical basis for motor fault diagnosis and health management in multi-variable working conditions and multi-physics environment.

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Determination of the temperature distribution of ESP motors under variable conditions of flow rate and loading

Cited by 7 publications

References 5 publications

A Data-Based Reliability Analysis of ESP Failures in Oil Production Wells

A Data-Based Reliability Analysis of ESP Failures in Oil Production Wells

Heat dissipation of the Electrical Submersible Pump (ESP) installed in a subsea skid

Review of intelligent fault diagnosis for permanent magnet synchronous motors in electric vehicles

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