Methodology for Increasing the Lifetime of Submersible Electric Motors in Power Supply Systems of Production Wells

An accident database for submersible electrical installations (SEIs) with submersible electric motors (SEM) in the Volga region has been compiled and subjected to analysis. The impact of each technological violation within the overall chain of failures, stemming from a complex interplay of external and internal processes involving SEI objects, is being assessed. Simultaneously, various external operational physical influences and internal processes, notably aging and operational irregularities, either individually or, most frequently, in diverse combinations, tend to diminish the capacity of a given SEI object, in particular SEM, to withstand the depletion of its internal resources. The described methodology allows for the identification of properties related to the randomness of SEMs failure processes, which may not be discernible through conventional real-time monitoring. The advantages and disadvantages of approaches to organizing the operation of SEMs based on operating time and actual condition during planning, implementation of maintenance and repair, as well as the feasibility of their integrated use are assessed. It is proposed to use statistical models to make a reasoned decision on determining the composition and period of maintenance and repair, forecasting the boundary states of sets in general and specific electrical installations of SEMs. The methodology for implementing vibroacoustic diagnostics in the assessment of SEMs within oil production enterprises (OPEs) is being examined.

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Published
2024-09-27
DOI
https://doi.org/10.1109/uralcon62137.2024.10718705
Primary Topic
Oil and Gas Production Techniques
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article
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article

Methodology for Increasing the Lifetime of Submersible Electric Motors in Power Supply Systems of Production Wells

Arseniy Batishchev, Vladimir Romanov, Valery Goldstein
Oil and Gas Production Techniques
article

Methodology for Increasing the Lifetime of Submersible Electric Motors in Power Supply Systems of Production Wells

Arseniy Batishchev, Vladimir Romanov, Valery Goldstein
article en

Abstract

An accident database for submersible electrical installations (SEIs) with submersible electric motors (SEM) in the Volga region has been compiled and subjected to analysis. The impact of each technological violation within the overall chain of failures, stemming from a complex interplay of external and internal processes involving SEI objects, is being assessed. Simultaneously, various external operational physical influences and internal processes, notably aging and operational irregularities, either individually or, most frequently, in diverse combinations, tend to diminish the capacity of a given SEI object, in particular SEM, to withstand the depletion of its internal resources. The described methodology allows for the identification of properties related to the randomness of SEMs failure processes, which may not be discernible through conventional real-time monitoring. The advantages and disadvantages of approaches to organizing the operation of SEMs based on operating time and actual condition during planning, implementation of maintenance and repair, as well as the feasibility of their integrated use are assessed. It is proposed to use statistical models to make a reasoned decision on determining the composition and period of maintenance and repair, forecasting the boundary states of sets in general and specific electrical installations of SEMs. The methodology for implementing vibroacoustic diagnostics in the assessment of SEMs within oil production enterprises (OPEs) is being examined.

Samara State Technical University (RU), Togliatti State University (RU), Samara Federal Research Scientific Center (RU)
Affordable and clean energy
Openalex Percentile: Top 76%
Oil and Gas Production Techniques
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Methodology for Increasing the Lifetime of Submersible Electric Motors in Power Supply Systems of Production Wells — Arseniy Batishchev, Vladimir Romanov, et al. · (2024) | TGRS Research Map | TGRS