Journal of Southwest Petroleum University(Science & Technology Edition) ›› 2020, Vol. 42 ›› Issue (6): 97-106.DOI: 10.11885/j.issn.1674-5086.2020.05.23.01

• A Special Issue on Artificial Intelligence Technology & Application in Oil and Gas Fields • Previous Articles     Next Articles

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

TANG Yang1,2, YANG Xin1,2, JING Jiajia1, ZHANG Zhidong3, YANG Yan4   

  1. 1. School of Mechatronic Engineering, Southwest Petroleum University, Chengdu Siahuan 610500, China;
    2. Guangdong Laboratory of Southern Ocean Science and Engineering(Zhanjiang), Zhanjiang, Guangdong 524088, China;
    3. Safety, Environment, Quality Supervision & Testing Research Institute, CCDE, Guanghan, Sichuan 618000, China;
    4. School of Science, Southwest Petroleum University, Chengdu, Sichuan 610500, China
  • Received:2020-05-23 Published:2020-12-21

Abstract: 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.

Key words: critical evaluation, AHP, Monte Carlo simulation, maintenance decisions, offshore platform equipment

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