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CASE STUDY: ENHANCED ASSET INTEGRITY PERFORMANCE THROUGH IMPROVED DATA MANAGEMENT

机译:案例研究:通过改进的数据管理提高资产诚信性能

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摘要

The global asset integrity management market was valued at $17.86 billion in 2016 and is projected to grow to nearly $35 billion by 2023, largely due to aging infrastructure. As a result of this trend, operators continually explore new ways to better manage their fixed equipment and extend its useful life. This often leads to utilization of new technology that provides new or more accurate data. Unfortunately, many of these same operators will capture and store information without a well-defined process for managing the repository system and the data within it. This makes it difficult to locate, access, and analyze that data later, which ultimately limits a company's ability to improve its integrity-related decisions. This inefficiency not only adds unnecessary cost to the integrity program, but it can eventually lead to loss of primary containment (LOPC). As the Inspectioneering blog series "Understanding Inspection Data Management Systems" highlighted, poor record-keeping and data analysis are among the top 10 reasons for fixed equipment failure. Missing or inaccurate data can directly lead to serious mechanical integrity issues.
机译:2016年全球资产诚信管理市场的价值为178.6亿美元,预计将增长到2023年的近350亿美元,主要是由于基础设施老化。由于这一趋势,运营商不断探索更好地管理固定设备并扩展其使用寿命的新方法。这通常会导致利用提供新技术提供新的或更准确的数据。不幸的是,许多这些相同的运算符将捕获和存储信息,而不会在没有用于管理存储库系统和其中的数据的明确定义过程中的信息。这使得难以在稍后定位,访问和分析该数据,这最终限制了公司改善与其完整性相关的决定的能力。这种低效率不仅增加了诚信计划的不必要的成本,而且最终可能导致主要遏制(LOPC)损失。由于检验博客系列“了解检验数据管理系统”突出显示,记录保存和数据分析差是固定设备故障的前10个原因。缺少或不准确的数据可以直接导致严重的机械完整性问题。

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