Digitalizing the Management of Electric Submersible Pump Failures Through Failure Prevention and Post-Mortem Analysis Tools

Michael Ellsworth, Rejish Joseph, Dylan Hematillake, C. Diaz-Goano
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Abstract

The replacement and maintenance of Electric Submersible Pumps (ESP) represents a significant operating expense for any in-situ Oil Sands operation. The goal at Suncor's in-situ operations is to effectively and efficiently manage ESP failures to lower costs, maintain production, reduce carbon emissions, and contribute to safe operations. This goal is in part, accomplished through a collection of software tools that automate and enhance Production Engineering workflows related to the management of over 300 ESPs. An overview of the overall digitalization effort, including information about the development and rationale behind the centralized ESP information and analytics database, various failure prediction tools and anomaly detection methodologies, and the application that delivers these solutions is discussed. The estimated impact of this effort is measured through accuracy. The ideas behind the effort have, both directly and indirectly, contributed to the increase in ESP run life, the decrease in ESP replacement time, the decrease in person-hours per ESP required for management, the increase in safe operations, and the increase to general well availability.
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通过故障预防和死后分析工具实现潜水电泵故障管理的数字化
更换和维护电潜泵(ESP)是任何原地油砂作业的一项重大运营支出。Suncor 原地运营的目标是有效和高效地管理 ESP 故障,以降低成本、维持生产、减少碳排放并促进安全运营。这一目标部分是通过一系列软件工具来实现的,这些工具可自动执行并加强与 300 多台静电除尘器管理相关的生产工程工作流程。本文概述了整个数字化工作,包括中央静电除尘器信息和分析数据库、各种故障预测工具和异常检测方法以及提供这些解决方案的应用程序的开发情况和原理。这项工作的估计影响是通过准确性来衡量的。这项工作背后的理念直接或间接地提高了静电除尘器的运行寿命,缩短了静电除尘器的更换时间,减少了每个静电除尘器所需的管理工时,提高了安全运行水平,并提高了油井的总体可用性。
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