在海上作业中实施完整性操作窗口计划面临的挑战

Rehan Ahmed, Rohana Jaafar, Alia Rashiqah Ab Rahman, Mohd Fikhri Fikhri Sabturani, Ahmad Naim A. Khairudin
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引用次数: 0

摘要

重点介绍了成熟的海上油气资产在实施或加强完整性操作窗口(IOW)监测过程中面临的挑战,并提出了应对挑战的解决方案。马来西亚国家石油公司上游公司(PETRONAS Upstream)已经开始着手升级其IOW报告,以应对越来越多的初级密封泄漏(LOPC)事件和设备过早故障,这些事件导致了计划外延迟(UPD)和健康、安全和环境(HSE)事件。iow是一组限制,用于确定可能影响过程单元的完整性和可靠性的不同变量。比较分析了具有人工智能功能的自动化在线系统与更传统的手动系统之间的实现。我们将探讨每种方法的优点和缺点,包括成本因素。将Pi历史记录和实验室信息管理系统(LIMS)集成到IOW模块将有助于为在线和手动实施的基于风险的检查(RBI)系统提供实时数据和分析。由于这是一项正在进行的工作,因此结果将基于关键性能指标的实现,包括设备正常运行时间和可用性的显着变化。期望提高操作和工程团队的技能,以实施和调整IOW以满足设施的需求,延长资产寿命,并根据机器学习或手动调整调整参数。请注意,升级的IOW手册已经为这个试点研究开发和推出,所有吸取的经验教训将被纳入任何未来的企业推出。IOW监测和报告的实施与其他数字解决方案相结合,以实现无缝和自主的工作流程。与IOW数据库接口的数字解决方案包括仪器预测振兴以最大化效率(PRIME)、LIMS和其他内部数字解决方案,如在线腐蚀管理程序和基于风险的检查(RBI)。
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Challenges in Implementing an Integrity Operating Window IOW Program in Offshore Operations
Highlights the challenges faced by matured Offshore Operating Oil and Gas Asset during implementation or enhancement of the Integrity Operating Window (IOW) monitoring and proposed solutions to address the challenges. PETRONAS Upstream has embarked on an exercise of upgrading its IOW reporting in light of the increased number of Loss of Primary Containment (LOPC) incidents and premature equipment breakdown which has resulted in Unplanned Deferment (UPD) and Health, Safety and Environment (HSE) incidents. IOWs are sets of limits used to determine the different variables that could affect the integrity and reliability of a process unit. Comparative analyses are made between the implementation of an automated online system with Artificial Intelligence capabilities versus a moreconventional manual system. We explore the advantages and disadvantages of each of these approaches including the element of cost. Integration of Pi historian and laboratory information management system (LIMS) to the IOW module will help provide real-time data and analysis to the Online and Manually implemented risk-based inspection (RBI) system. Since this is currently an ongoing exercise, the results will be based on the achievement of key performance indices, including a marked change in equipment uptime andavailability. The expectations are to upskill operations and Engineering teams in implementing andadjusting the IOW to the needs of the facility, extending asset life, and adjusting the parameters based onmachine learning or manual adjustments. Note that upgraded IOW manuals have been developed and rolled out for this pilot study, and all lessons learnt will be incorporated into any future enterprise rollout. The implementation of IOW monitoring and reporting are interfacing with other digital solutions to achieve a seamless and autonomous work process. Among digital solutions interfacing with the IOW database are Predictive Revitalization of Instrument to Maximize Efficiency (PRIME), LIMS and other in-house digital solutions such as online Corrosion Management Program and Risk-based Inspection (RBI).
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