Fire risk analysis of offshore drilling operations based on Bayesian networks

• DOI: 10.1049/icp.2024.3451
• Publication Date: 2025-01-08T15:42:21Z
• Authors: Jinsong Li; Zhao Huang; Wei Liu; Lei Lei; Honggang Zuo; Ming Zheng; Yingwen Ma; Zhiming Yin; Xingquan Zhang; Deqiang Tian; Mengqian Hu; Jiali Liang
• Keywords: Offshore drilling

Offshore oil and gas play a crucial role in meeting the energy demands of modern economies. However, risks associated with offshore activities, such as fires explosions, can lead to significant losses. Consequently, risk analysis operations is imperative. This paper introduces Bayesian network approach analyze activities. Initially, fuzzy set theory employed convert domain knowledge into quantitative prior probabilities. Insigh ts from industry experts literature then inform development fault tree tailored operations. t ree integrated framework, enhancing evolution mechanisms detail. Subsequent ly, sensitivity conducted identify propose control measures. The applicability proposed method demonstrated through case study on drilling operations, specifically analyzing fire risk. results indicate tha this holds potential for application across various industrial systems.