Dynamic Bayesian network-based reliability and safety assessment of the subsea Christmas tree

Using fuzzy cognitive map in bow tie method for dynamic risk assessment of spherical storage tanks: A case study

“…These limitations have led to more advanced safety assessment methods in recent years that are dynamic. For instance, Khakzad et al [ 25 ] used Bayes' theorem for dynamic risk analysis in the BT method; Ferdous et al [ 19 ] developed a dynamic safety and risk assessment under uncertainty using a bow-tie diagram; Abimbola et al [ 26 ] proposed a dynamic safety assessment approach based on the BT and real time barriers failure probability assessment; Xin et al [ 6 ] utilized a dynamic methodology to identify hazards and scenarios using a Bayesian network; Chang et al [ 27 ] performed a dynamic risk analysis based on the mapping of the BT into a Bayesian network; Li et al [ 28 ] showed a risk assessment based on the fuzzy Bayesian network for mine ignition sources; Wu et al [ 29 ] presented a dynamic Bayesian risk analysis for modelling the influence of uncertainty in accident probability and consequences, which is reflected in failure rates; Borgheipour et al [ 30 ] determined the type and relationship between the effective causes of catastrophic accidents by integrating the BT technique and Bayesian network; Pang et al [ 31 ] also used a dynamic Bayesian network-based reliability in safety assessment of subsea Christmas tree; and Sarvestani et al [ 32 ] developed a dynamic Bayesian risk assessment for propane storage tanks. In this regard, Zarei et al [ 33 ] proposed a dynamic approach for analyzing the event of hydrogen release scenarios, which used the BT technique and Bayesian network in integration with improved D Numbers Theory and Best-Worst Method.…”

Reliability Study of Parameter Uncertainty Based on Time-Varying Failure Rates with an Application to Subsea Oil and Gas Production Emergency Shutdown Systems

“…Wang et al [8] established a reliability model for the electrical control system of the subsea control module by markov processes and multiple beta factor model using the constant failure rate (CFR) and its value range. When assessing the reliability and safety of subsea Christmas tree, Pang et al [9] converted the failure rate of hydraulic and electronic components which obey an exponential distribution and mechanical components with Weibull distribution into a constant. Bae et al [10] referred to the CFR of equipment in offshore and onshore reliability data (OREDA), and used the multi-objective design optimization method to optimize the ESD system to ensure its high reliability and reasonable cost.…”

Reliability and availability evaluation of subsea high integrity pressure protection system using stochastic Petri net

“…However, when a system has many identical components, the impact of common cause failures is rarely considered with repair losses and incomplete repairs. 20 But Petri nets can better characterize the dynamic behavior and performance of complex systems for quantitative analysis, model extensions, and hierarchical modeling. Therefore, in this paper, Petri nets are used to analyze the dynamic reliability of HIPPS.…”