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

机译:建立结构化框架的整体方法通过集成ESP关键绩效指标最大限度地提高生产可用性

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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.
机译:管理大型潜油电泵(ESP)操作和评估他们的表现可以是具有挑战性的task.Diverse作战环境,广泛流传的地理区域,大型ESP的人群,不同的服务提供商是一些并发症面临operators.Nonetheless,它对于任何人工举升项目建立了绩效评估的结构,可以有效地捕捉不足和亮点改进的成功至关重要。虽然许多运营商专注于运行寿命统计数据,为ESP的中心关键绩效指标(KPI),这些类型的统计数据可能不向决策者提供有意义的信息就足够了。其他重要的ESP性能参数包括ESP停机(计划内和计划外),跳闸静电除尘器的重启时间,调试时间,故障率,以及过早ESP failures.Thus的数量,全面的研究,共同油经营者和ESP厂商之间开始建立关键绩效指标选定在所有aspects.The驱动器的改进的KPI是在最终着眼于最大限度地提高生产的可用性和创收结构开发。通过构建ESP关键绩效指标框架,表现欠佳的地区是由运营商和服务商provider.Decision能够识别并在性能落后而发挥努力提高服务表现不佳领域providers.Furthermore行动,定期举行会议,均清晰可见进行审查建立KPI和推荐一些行动项目,这可能会集中在技术或业务solutions.Finally,KPI指标设定基于历史趋势的审查,并分别被分配到充满挑战但相关和attainable.The跟着练习可以被证明是成功的在形成公共接地,其中服务供应商可以量化由操作损失的ESP的性能缺陷的结果。全面的数据收集和ESP的保存跳闸,故障和更换是外地报告和良好的性能这work.Regular审查的成功是必要的,以准确地计算各种KPI formulas.In其实关键,许多KPI计算的可自动化,以利用安装在现场,以提高ESP监测和准确地评估它们的性能可用的通信网络。

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