关于使用常驻无人机的水下生产系统的可用性。可靠性,可用性,可维护性RAM分析

M. Mattioli, A. Padova
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引用次数: 0

摘要

油气行业面临的挑战是,如何在低油价条件下保持竞争力,同时最大限度地降低运营风险,实现资产正常运行时间最大化,这促使海上公司不断发展前瞻性和预测性维护方法。如果由于调度中心的异常或警告信息而发生计划外干预,那么决定支持船的大小及其用于常规维护的利用率可能会非常耗时,而且可能会造成生产损失,造成潜在的高成本影响。即使是新一代的远程状态和监测系统,也可以提高操作员的早期预警和监视能力,为紧急情况提供可靠的解决方案。在这种情况下,常驻水下无人机可以实现按需检查,同时消除了对支持船的需求,并允许运营商管理持续作业的风险,也可以管理人类无法进入的危险区域。进行了与新海底油田开发相关的案例研究。进行了独特的可靠性、可用性和可维护性(RAM)分析,目的是在考虑常驻无人机的情况下深入了解海底生产系统的可用性,并演示如何在降低运营成本的同时,将所谓的“战略可维护性”成功应用于决策过程。前者涉及基于状态的常规IMR(检查、维护和修理)和RBI(基于风险的检查方法),后者涉及常驻无人机的战略可维护性。这种分析的应用需要多学科的方法,以及在操作条件下处理历史数据的可能性。收集历史数据源(例如OREDA数据集)以获得海底设备的典型故障率和主动维修时间。在40多年的检查和维护活动中获得的直接经验,以及海底常驻机器人的最新发展,使我们能够了解真正的干预时间。结果表明,与传统的IMR服务相比,用于早期检查和轻度干预的常驻水下无人机是一种及时且无成本的解决方案。它们代表了紧急情况下环境监测和海底检查的急救手段,并提供了相关的海底生产不可用性的节省。从案例研究中获得的经济价值代表了运营成本优化的一个步骤变化,并激励一流的运营商对绿色和老化油田的具体情况进行分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Subsea Production System Availability with Resident Drones. A Reliability, Availability, Maintenability RAM Analysis
The challenge in the Oil&Gas industry to remain competitive in a low oil price whilst dealing with minimization of operational risk and uptime asset maximization is leading offshore Companies to evolve thought proactive and predictive maintenance approaches. In the event of unplanned intervention due to anomalies or warning messages at the dispatching center, the decision on the size of the support vessel and its utilization for straordinary maintenance could be time consuming with potential high cost impact, also due to loss of production. Even the new generation of remote condition and monitoring systems, which allow to improve the capability of operators for early warnings and surveillance, provide a reliable solution for emergencies. In this context, resident subsea drones enable on-demand inspection whilst eliminating the need for support vessel and allow operator to manage the risk in continued operations also for dangerous areas restricted to human access. A case study relevant to a new subsea field development have been conducted. Distinctive Reliability, Availability and Maintainability (RAM) analyses have been performed with the aim to get insight on the subsea production system availability considering a resident drone and to demonstrate how the so called "stategic maintainability" can be applied successfully in the decision-making process while reducing the OPEX. The former related to conventional IMR (Inspection, Maintenance & Repair) based on Condition Based and RBI, Risk Based Inspection approach, the latter related to strategic maintenability with resident drones. The application of such analysis required a multi-disciplinary approach together with the possibility of processing historical data in operating conditions. Historical data sources (e.g. OREDA dataset) were collected to obtain failure rates and active repair times typical of subsea equipment. Direct experience gained in over forty years of inspection and maintenance activities together with recent developments on subsea resident robotics allow the understanding of real internvention timing. Results show that resident subsea drones applied for early inspection and light intervention are confirmed timely and costless solution respect to conventional IMR services. They represent the first aid for environmental surveillance and subsea inspection in case of emergency and provide a relevant saving of subsea production un-availability. The economic value emerged from the presented case study represents a step change for OPEX optimization and motivates Best-in-Class Operators to get an insight case-by-case for both green and aging fields.
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