Control systems enable automatic monitoring and ensure operational security. Optimizing the control system can effectively reduce human errors, enhance production efficiency, and significantly lower costs. To further improve the operation and maintenance reliability of the subsea oil and gas production control system, this paper proposes two optimized design schemes, analyzes the reliability influencing factors of the subsea control system, and compares three configurations: serial, multi-machine hot standby redundancy, and cross-hot standby redundancy. The problem of configuration selection for subsea control systems is addressed. The feasibility of the analysis results is verified through dynamic Bayesian network simulation. This research directly addresses concerns related to marine energy and offshore engineering. By referring to the comparative reliability results for subsea control systems in this paper, designers can select appropriate configurations and better optimize operation and maintenance costs. Therefore, the work provides a scalable and cost-effective reference for the development of subsea control system configurations.
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