Design Optimization of ESD (Emergency ShutDown) System for Offshore Process Based on Reliability Analysis

Abstract

Abstract. Hydrocarbon leaks have a major accident potential and it could give significant damages to human, property and environment.To prevent these risks from the leak in design aspects, installation of ESD system is representative. Because the ESD system should be operated properly at any time, It needs high reliability and much cost. To make ESD system with high reliability and reasonable cost, it is a need to find specific design method.In this study, we proposed the multi-objective design optimization method and performed the optimization of the ESD system for 1st separation system to satisfy high reliability and costeffective.'NSGA-II (Non-dominated Sorting Genetic Algorithm-II)' was applied and two objective functions of 'Reliability' and 'Cost' of system were defined. Six design variables were set to related variables for system configuration. To verify the result of the optimization, the results of existing design and optimum design were compared in aspects of reliability and cost. With the optimization method proposed from this study, it was possible to derive the reliable and economical design of the ESD system.

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

“…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. Signorini et al [11] collected 106 subsea control module (SCM) field data sets and compared them with OREDA for quantitative and qualitative reliability study of SCM.…”