Use of Run-Life Measures in Estimating Artificial Lift System Reliability

Skoczylas, Paul; Alhanati, Francisco J.S.; Sheldon, J. W.; Trevisan, Francisco

doi:10.2118/190962-ms

Cited by 8 publications

(7 citation statements)

References 4 publications

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“…The RT information is sometimes extended to a reliability context, where a statistical average of the sample available is calculated and then used as an estimate of run-life. An application area is the analysis of artificial lift and ESP systems (see, e.g., Al-Aslawi et al 2010;Skoczylas et al 2018;Vandevier 2010). RT then indicates the period during which a specific item was in use, from the time when it was started (e.g., a pump motor started), until it was stopped for whatever reason, and up to the point in time where the data were collected.…”

Section: Average Run-time Definitionmentioning

confidence: 99%

“…By dividing the cumulative running, operating or up time (i.e., the summation of these time periods), for a set of items by the number of items, we then get the RT AVG for these. Depending on the purpose, one might choose to focus on items that have failed or that are currently running; e.g., Skoczylas et al (2018) point to the average RT for running systems (i.e., items currently active) and the average RT for items that have failed, or have been pulled for whatever reason, during a time window.…”

Section: Average Run-time Definitionmentioning

confidence: 99%

“…RT is then the cumulative time that an item still in operation has been running. This is one of the ways to define the relevant population, according to Skoczylas et al (2018). The RT AVG is defined by Rubiano et al as: "the average value of run-time of all artificial lift systems in a specific field currently in operation", thus limiting the population to only the active items.…”

Section: Average Run-time Definitionmentioning

confidence: 99%

“…Run-life is used as an umbrella term to cover the relevant metrics. For an overview, Skoczylas et al (2018) describe different run-life metrics for the estimation of artificial lift systems' reliability. The selection of the metric is related to the type of operation, the system considered and its functions, as well as the intended use for the metric.…”

Section: Introductionmentioning

confidence: 99%

“…To cover a variety of purposes, besides insights into replacement and repair frequency and costs, other metrics such as 'average run-time' and 'average run-life' are sometimes introduced. Skoczylas et al (2018) identify that there are different runlife measures that could be applied, e.g., for tracking the performance of artificial lift systems in oil and gas. One of these is the average run-time with variations.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of guidance provided by international standards on metrics and timelines for run-life estimation of oil and gas equipment

Selvik

Alhanati²,

Signoret

2022

Life Cycle Reliab Saf Eng

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Run-life is a concept used in the oil and gas industry to express time to failure for running equipment. When estimating this as part of reliability engineering activities, different metrics and time periods are considered. One metric is the traditional ‘mean time to failure’ (MTTF), but alternatives such as ‘average run-time’ or ‘average run-life’ can also be considered. For calculating these metrics, different time periods can be used. For example, when estimating the MTTF of well completion equipment, operating times or running times are normally used. However, the periods can also include idle time, where the item is technically available, but associated parts of the production facility might not be. For consistency across the industry, on how to interpret the metrics and what to include in calculating them when performing estimations, ISO 14224 (2016) and IEC 60050-192 (2015) in tandem provide guidance to ensure quality in reliability data collection and analysis. While MTTF is defined and a theoretical basis is given, guidance on when to use the different timelines for the estimation is sparse. Neither ‘run-time’ nor ‘run-life’ is explicitly defined in these standards. They provide no guidance on how to interpret and use the metrics ‘average run-time’ and ‘average run-life’, despite these sometimes replacing the MTTF in reliability analyses. In this article, we discuss the variation in metrics and associated timeline definitions. A main purpose is to identify improvement potentials in the international standards and suggest how to achieve appropriate guidance for consistent interpretation and use of time-to-failure metrics in the oil and gas industry. An additional purpose is to clarify whether all these metrics are really needed. There is particularly confusion around ‘run-time’, which some interpret as a reliability metric and some as an item’s cumulative running time. One suggestion is that the standards focus more on ‘running time’, by adding a formal definition, and clarify how it compares with operating time and run-time, and when to use it. We also suggest introducing ‘running time to failure’ and ‘operating time to failure’, which would be consistent with existing terminology, while clarifying the timeline being referred to. We use examples from well drilling and completion systems, to show the reliability implications for modeling and calculations.

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Section: Average Run-time Definitionmentioning

confidence: 99%

Section: Average Run-time Definitionmentioning

confidence: 99%

Section: Average Run-time Definitionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Evaluation of guidance provided by international standards on metrics and timelines for run-life estimation of oil and gas equipment

Selvik

Alhanati²,

Signoret

2022

Life Cycle Reliab Saf Eng

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Влияние Геолого-Технических И Технологических Параметров На Нагрузки И Усталостную Прочность В Штанговой Колонне Винтовых Насосов

Urazakov¹,

Latypov²

2020

IZVESTIYA

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Актуальность исследования обусловлена необходимостью повышения надежности и ресурса штанговых винтовых насосных установок, используемых для осложненных условий эксплуатации скважин, поскольку они имеют низкую надежность в сравнении с электроцентробежными насосами, что ограничивает их применение. Винтовые насосные установки используются в скважинных условиях, характеризующихся высокой вязкостью откачиваемой пластовой жидкости (более 30 мПа·с) и высоким содержанием механических примесей в ней (коэффициент взвешенных частиц более 500 мг/литр). Опыт эксплуатации винтовых насосных установок показывает, что надежность насосных установок зависит в первую очередь от надежности штанговой колонны. Помимо крутящей нагрузки, необходимой для передачи вращения от асинхронного двигателя к винтовому насосу, погруженному на расстояние более одного километра от устья скважины, штанговая колонна испытывает растягивающие нагрузки от веса насосных штанг и осевой нагрузки винтового насоса, а также изгибающие нагрузки, вызванные пространственным искривлением ствола скважины. Цель исследования заключается в оценке влияния различных факторов эксплуатации на нагрузки, действующие на колонну насосных штанг в процессе эксплуатации скважины, а также на усталостную прочность насосных штанг. Методы: методика расчета штанговых колонн винтовых насосных установок с учетом осевых, крутящих и изгибающих нагрузок, учитывающая процессы трения штанговой колонны о насосно-компрессорные трубы, возникающие от Эйлеровых сил прижатия штанг к трубам из-за пространственного искривления ствола скважины, реализованная на языке программирования Python; факторный анализ нагрузок, действующих на привод насосной установки. Результаты. С помощью программного обеспечения, реализованного на языке программирования Python, произведены расчеты, показавшие влияние различных осложняющих факторов на величину нагрузок на штанговую колонну. Показано влияние нагрузок вследствие воздействия геолого-технических и технологических параметров на усталостную прочность насосных штанг. Разработанное программное обеспечение позволяет учесть степень влияния осложняющих факторов на стадии подбора компоновки винтовой насосной установки, а также в процессе эксплуатации и тем самым существенно увеличить межремонтный период работы штанговых винтовых насосных установок.

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A Holistic Approach in Establishing a Structured Framework to Maximize Production Availability Through an Integrated ESP Key Performance Indicators

Khalaf

Alquwizani

AlSadah

et al. 2018

Day 2 Thu, November 29, 2018

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Managing large-scale Electrical Submersible Pump (ESP) operations and assessing their performance can be a challenging task. Diverse operational environments, widely-spread geographical areas, large ESP populations, and different service providers are some of the complications facing operators. Nonetheless, it is vital to the success of any artificial lift project to establish a performance evaluation structure that can effectively capture deficiencies and highlight improvements. While many operators focus on run life statistics as the central key performance indicator (KPI) for ESPs, these type of statistics may not be sufficient in providing meaningful information to decision makers. Other important ESP performance parameters include ESP shutdowns (both planned and unplanned), restart time of tripped ESPs, commissioning time, failure rate, and the number of premature ESP failures. Thus, a comprehensive study was jointly initiated between an oil operator and ESP vendors to establish KPIs that drive improvements in all aspects. The selected KPIs were developed in a structure that ultimately focuses on maximizing production availability and revenue generation. By constructing the ESP KPIs framework, subpar performance areas were clearly visible by both the operator and the service provider. Decision makers were able to identify and act on fields that lag in performance while exerting efforts to improve underperforming service providers. Furthermore, regular meetings were conducted to review the established KPIs and recommend some action items, which might focus on either technical or operational solutions. Finally, KPI targets were set based on the review of historical trends and were assigned to be challenging yet relevant and attainable. The followed practice can prove to be successful in forming a common ground where service providers can quantify losses by the operator as a result of ESP performance deficiencies. Comprehensive data collection and keeping of ESP trips, failures, and replacements are critical to the success of this work. Regular review of field reports and well performance are imperative to accurately compute the various KPI formulas. In fact, many of the KPI calculations can be automated to capitalize on the available communication networks installed in the field to improve ESP monitoring and accurately assess their performance.

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Use of Run-Life Measures in Estimating Artificial Lift System Reliability

Cited by 8 publications

References 4 publications

Evaluation of guidance provided by international standards on metrics and timelines for run-life estimation of oil and gas equipment

Evaluation of guidance provided by international standards on metrics and timelines for run-life estimation of oil and gas equipment

Влияние Геолого-Технических И Технологических Параметров На Нагрузки И Усталостную Прочность В Штанговой Колонне Винтовых Насосов

A Holistic Approach in Establishing a Structured Framework to Maximize Production Availability Through an Integrated ESP Key Performance Indicators

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