最大化生产与实时完整性操作窗口

Shintaro Honjo, Shunsaku Matsumoto, T. Sano
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引用次数: 0

摘要

数字智能生产完整性操作窗口(IP-IOW)系统的概念设计是通过日本基金会(NF) - DeepStar®合作项目开发的,该系统是石油和天然气海上行业的一种独特的变革性解决方案,专注于最大化产量,同时优化设备操作。通过IP-IOW架构和数字平台的规格,将流体系统与设备系统连接起来。开发的数字IP-IOW架构包含五个主要评估模块,分别是组件风险分析(CRA)、故障模式和影响分析(FMEA)、故障评估(FE)、维护评估(ME)以及可靠性可用性和可维护性分析(RAMA),重点关注关键组件,包括海底节流器、管线和立管、上层节流器、上层设备和原油出口管线。每个模块都具有基于各种现有数据库和/或工业标准对每个组件进行监测、风险评估或分析的功能。组件风险分析(CRA)模块作为一个关键模块,在其他模块评估结果的基础上对每个组件的个体风险进行评估,并通过运维分析方法提供IP-IOW仪表板。CRA模块基于故障可能性(故障概率)作为运维条件和损坏影响的函数对运维进行分析。计算出的安全操作窗口(sow)和可靠性操作窗口(ROWs)将显示在ip - ow仪表板上。在这个项目中,还进行了详细的差距分析,以了解哪些相关的行业标准和实践已经出版,以及这些出版物在ip - ow方面存在哪些差距。完成了技术指标和参考资料的检索,以确定可能或可以用于开发用于上层固定设备的完整性操作窗口(IOWs)的代码和标准。目前API、DNV和EI适用的推荐做法(RP)涵盖了损坏效果、在役检查、风险排序、维修项目优先级和固定设备系统的更改。然而,rp并未涵盖如何将行业最佳实践集成到下一代运维系统不可或缺的实时数字操作环境中。一个关键的建议是使用资产的数字孪生(Digital Twin)以数字方式连接系统,以便进行数据分析。通过对模块开发的几个案例研究,说明了模块开发过程和模块的工作流程。对一个选定的海上生产设施进行RAM分析,从大约1200个组件中确定了前30个高风险组件。还开发了一个试点物理模型,以实现海上大型FPSO资产的新行业推荐实践。该概念性试验使用了上部节流砂侵蚀,将流体表征(多相流)与选定的设备相连接,以解决固定设备的主要技术挑战,同时最大限度地提高产量。冲蚀模块实例验证结果表明,实际检测结果与CFD计算结果吻合较好。总的来说,IP-IOW是基于严格的CFD和现场数据设计的,用于预测系统和/或设备的临界故障可能性(LOF),如固体侵蚀、流激振动(FIV)、声激振动(AIV)、涡激振动(VIV)和海上环境中的腐蚀。三菱重工(MHI)由日本财团(NF)和DeepStar (DS)联合海洋创新研发计划赞助,从2019年5月开始进行题为“基于设施运行条件的19143固定设备完整性操作窗口”的项目研究(第一阶段)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximizing Production with Real-Time Integrity Operating Windows
A conceptual design of digital Intelligent Production Integrity Operating Windows (IP-IOW) system, which is an unique and transformational solution to the oil and gas offshore industry focusing on maximizing production while optimizing equipment operation, was developed through a Nippon Foundation (NF) - DeepStar® partnership project. This connects the fluids system with the equipment system using IP-IOW architecture and specifications of a digital platform. The developed digital IP-IOW architecture contains five major evaluation modules, which are Component risk analysis (CRA), Failure Mode and Effect Analysis (FMEA), Failure Evaluation (FE), Maintenance Evaluation (ME), and Reliability Availability, and Maintainability Analysis (RAMA) focusing on critical components, including subsea choke, flowline and riser, topside choke, topside equipment, and crude export line. Each module has a function of monitoring, risk evaluation or analysis of each component based on various existing databases and/or industrial standards. Component risk analysis (CRA) module is designed as a key module to evaluate individual risk of each component based on the evaluation results of the other modules and to provide IP-IOW dashboards through operation and maintenance analysis methods. CRA module analyzes operation and maintenance based on the likelihood of failure (probability of failure) as a function of operation and maintenance conditions and impact of the damage. Calculated safety operating windows (SOWs) and reliability operating windows (ROWs) would be indicated on the IP-IOW dashboard. In this project, detailed gap analysis was also conducted to gain an understanding of what relevant industry standards and practices have been published and how these publications have gaps with respect to IP-IOW. A completed search was made of technical indices and reference sources to identify codes and standards that may or can be used for developing Integrity Operating Windows (IOWs) for topside fixed equipment. Current API, DNV, and EI applicable recommended practices (RP) cover damaging effect, in-service inspection, risk ranking, repair items prioritization, and alteration of fixed equipment systems. However, the RPs do not cover how to integrate industry best practices into a real-time digital operating environment that is integral to the next generation O&M system. A critical recommendation is to connect the systems digitally allowing for data analytics using the Digital Twin of the asset. Several case studies on module development were conducted to demonstrate an example of the module development process and the workflow of module. RAM analysis on one of selected offshore production facilities identified top 30 high risk components from around 1200 components. A pilot physical model was also developed to enable the embodiment of a new industry recommended practice for offshore large scale of FPSO asset. This conceptual pilot has used the topside choke sand erosion connecting the fluid characterization (multi-phase flow) with the selected equipment to develop the correlation addressing major technical challenges of fixed equipment while maximizing production. An example of validation results of erosion module showed good agreement between actual inspection results and CFD calculation results. Overall, IP-IOW is designed based on rigorous CFD and field data to predict critical section of system and/or equipment likelihood of failure (LOF), such as Erosion with solids, flow induced vibration (FIV), acoustic induced vibration (AIV), vortex induced vibration (VIV), and corrosion in offshore environment. Mitsubishi Heavy Industries (MHI) has been sponsored by Nippon Foundation (NF) and DeepStar (DS) Joint Ocean Innovation R&D Program to perform a research study (Phase 1) of project titled "19143 Fixed Equipment Integrity Operating Windows based on Facility Operating Conditions" started from May 2019.
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