Session: OAC-01-01 Safety, Reliability, and Risk Management

Paper Number: 153729

153729 - Quantitative Evaluation of Safety Resilience of Large-Scale Oil Tank Area System Based on Improved Irml 

Abstract: 

As a key link in ensuring oil and gas supply and national strategic reserves, large-scale oil storage tank areas have dual attributes of energy security and public safety. Meanwhile, large tank farms tend to be large-scale, systematic, complex, and intelligent, and they have a wide variety of equipment types and high automation levels within their systems. There are multiple equipment interlocks, and single equipment failures tend to expand and spread as well. To ensure the safe operation of large-scale oil storage tank areas and improve the system’s ability to resist risks and interference, this paper proposed a quantitative evaluation method for system safety resilience based on improved Infrastructure Resilience-Oriented Modelling Language (IRML). The upstream and downstream relationships of various equipment, personnel, information, and process flow in the tank area system were abstracted into a multi-layer IRML model, and the complex system operation process was represented by a directed node graph. In this study, three-time parameters of disturbance time, buffer time, and maintenance time were introduced simultaneously to quantitatively characterize the dynamic operating status of the system, a quantitative assessment of the safety resilience of the tank farm system in scenarios where multiple nodes are disturbed and fault propagation exists was conducted, and the resilience time variation curve was obtained from the start of system self-disturbance to state stability. Moreover, this paper used a certain oil tank area as an example to verify the performance of the quantitative evaluation method for system safety resilience based on improved IRML. The case compared different interference scenarios, aiming to obtain high weight nodes that affect system resilience and seeks targeted safety strategies to improve system safety resilience. According to the case scenario, the system safety resilience is improved by 27.31%.

Presenting Author: Kangkai Xu CNPC Tubular Goods Research Institute

Presenting Author Biography: Kangkai Xu graduated from China University of Petroleum (Beijing) with a Ph.D. in 2023, majoring in safety science and engineering, and joined the Western Research Institute (Gas Storage Safety Evaluation Sub-center) of PetroChina Group Engineering Materials Research Institute Co. in the same year. He is mainly engaged in wellbore integrity management, reservoir safety evaluation and early warning.

Authors:

Kangkai Xu CNPC Tubular Goods Research Institute
Gang Wu CNPC Tubular Goods Research Institute
Jinheng Luo CNPC Tubular Goods Research Institute
Shuyi Xie CNPC Tubular Goods Research Institute
Shuxin Zhang CNPC Tubular Goods Research Institute
Lifeng Li CNPC Tubular Goods Research Institute
Zicong Han China University of Petroleum (Beijing)
Shangrui Xiao China University of Petroleum (Beijing)