面向完整性管理的海洋平台高危设备维修决策

Maintenance Decision of High-risk Equipment of Offshore Platform in Integrity Management

唐洋 杨鑫 敬佳佳 张志东 杨雁

TANGYang YANGXin JINGJiajia ZHANGZhidong YANGYan

西南石油大学机电工程学院, 四川 成都 610500 南方海洋科学与工程广东省实验室(湛江), 广东 湛江 524088 中国石油川庆钻探工程有限公司安全环保质量监督检测研究院, 四川 广汉 618000 西南石油大学理学院, 四川 成都 610500

School of Mechatronic Engineering, Southwest Petroleum University, Chengdu Siahuan 610500, China Guangdong Laboratory of Southern Ocean Science and Engineering(Zhanjiang), Zhanjiang, Guangdong 524088, China Safety, Environment, Quality Supervision & Testing Research Institute, CCDE, Guanghan, Sichuan 618000, China School of Science, Southwest Petroleum University, Chengdu, Sichuan 610500, China

海洋平台设备维修管理中存在高危设备重要度及分类不清、维修方法不合理的问题，造成设备"维修过剩"或"维修不足"，维修成本高昂，甚至导致重大事故和经济损失等情况。综合考虑海洋平台设备特征、故障模式及管理要求等，确定出10项重要度影响因素，制定出10项重要度评价指标及评分标准，实现定性描述定量转化；采用层次分析法和Monte Carlo仿真方法，提出了海洋平台设备重要度评价方法，定量化评价设备重要度，并有效消除评分时的主观化影响；基于重要度累积频率，将设备分为3类，并分类建立维修逻辑决策图，实现基于重要度的设备维修决策。以井控系统为例，定量评价出其各个设备重要度，并进行科学分类，进而决策出其各自维修方法，有效验证了该方法的可行性。该研究可为油田企业建立科学、完善的设备完整性管理体系提供技术支持。

In the maintenance management of offshore platform equipment, the importance and classification of high-risk equipment are unclear, and the maintenance methods are unreasonable, resulting in equipment "maintenance excess" or "maintenance lack", high maintenance costs, and even leading to major accidents and economic losses. With comprehensive consideration of the characteristics of the offshore platform equipment, failure mode and impact and management requirements, etc., determine its 10 important factors, formulate 10 important evaluation indicators and scoring standards, and achieve qualitative description and quantitative conversion. AHP and Monte Carlo simulation methods are used to propose an evaluation method for the importance of offshore platform equipment, which quantitatively evaluates the importance of equipment and effectively eliminates the subjective impact of scoring. Based on the percentage of the cumulative frequency of importance, the equipment is divided into three categories, and the maintenance logic decision diagram is established by classification, which realizes the equipment maintenance decision based on the importance. Taking the well control system as an example, the importance of each equipment was quantitatively evaluated and scientifically classified, and then their respective maintenance methods were determined, which effectively verified the feasibility of the method. The research can provide technical support for oilfield enterprises to establish a scientific and complete equipment integrity management system.

10.11885/j.issn.1674-5086.2020.05.23.01