石油化工安全环保技术 ›› 2025, Vol. 41 ›› Issue (5): 40-43.

• 事故分析与预防 • 上一篇    

基于 HAZOP- 偏离度的站场内检测作业风险分析

翟中杨 武姜楠 吴梦蝶   

  1. 中国石油华北油田公司,河北 任丘 062552
  • 收稿日期:2025-03-26 接受日期:2025-09-15 出版日期:2025-10-20 发布日期:2025-11-10
  • 作者简介:翟中杨,男, 2014 年西南石油大学油气储运工程毕业,现在华北油田第四采油厂质量健康安全环保科工作。 E-mail:zhb_zzy@petrochina.com.cn

Risk Analysis of On-site Inspection Operation Based on HAZOP Deviation Degree

Zhai Zhongyang, Wu Jiangnan, Wu Mengdie   

  1. PetroChina Huabei Oilfield Company, Renqiu, Hebei, 062552
  • Received:2025-03-26 Accepted:2025-09-15 Online:2025-10-20 Published:2025-11-10

摘要: 为提高站场的本质安全水平,先将传统 HAZOP 方法中的参数和引导词进行改进,再将参数偏离度和对策措施偏离度进行权重组合,对偏差进行定量化处理,最后将模型用于内检测作业过程的风险评价中,得到风险集中点。结果显示,收球过程中,放空不充分、未打开放空阀和排污阀、未注入清水、未对通球指示器进行检查等场景的风险较大;发球过程中,排污阀未关闭、发球筒未放空、清管器姿态不正确等偏差的综合偏离度数值较大,属于风险集中点;建议加强作业人员培训,建立内检测作业台账,设置联锁控制系统和沿线监听点,降低误操作次数。

关键词: HAZOP, 引导词, 偏差, 偏离度, 内检测, 风险评价

Abstract: To enhance the intrinsic safety level of the station, the parameters and guiding words in the traditional HAZOP method are first improved. Then, the deviation degrees of parameters and countermeasures are weighted and combined to quantitatively process the deviations. Finally, the model is applied to the risk assessment of the internal detection operation process to obtain the risk concentration points. The results show that during the ball collection process, the risks are relatively high in scenarios such as insufficient venting, failure to open the vent valve and blowdown valve, failure to inject clear water, and failure to check the ball passage indicator. During the serving process, the combined deviation value of the blowdown valve not being closed, the serving cylinder not being emptied and the incorrect posture of the pigging device is relatively large, which belongs to the risk concentration points. It is recommended to enhance the training of operation personnel, establish an internal inspection operation ledger, set up an interlock control system and monitoring points along the line to reduce the number of false operation.

Key words: HAZOP, guide words, deviation, deviation degree, internal detection, risk assessment