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ContentsForewordPrefaceChapter 1 Development ofAutomatic Subsea Blowout Preventer Stack Control System Using PLC Based SCADA1.1 Introduction1.2 Hardware architecture1.2.1Overall system architecture\"1.2.2 Triple redundant controllers1.2.3 DualredundantEthemet,1.2.4 Redundant subsea electronic modules1.3 Votingalgorithm1.3.1Discrete output voting1.3.2 Discrete input voting 1.3.3 Analoginputvoting1.4 Software methodology1.4.1 Controllog1.4.2 HMI program1.4.3Redundant databases1.4.4 Remote access 1.5 Results and discussions1.6 ConclusionsReferencesChapter 2Reliability Analysis of Subsea Blowout Preventer Control Systems Subjected to Multiple Error Shocks2.1 Intro duction2.2 Systemdescription2.2.1 Architecture of subsea BOP control system 2.2.2 Configuration ofsubsea BOP control system2.3 System modelling and reliability analysis2.3.1 Assumptions2.3.2 System modelling and reliability analysis for TMR system2.3.3System modelling and reliability analysis for DDMR system2.4 Results and discussions2.5 ConclusionsReferencesChapter 3 Performance Evaluation of Subsea Blowout Preventer Systems with Common Cause Failures3.1 Introduction3.2 System description3.3 Reliability modelling and analysis3.3 1 Assumptions3.3.2 Failure rate and repair rate calculations3.3.3 Reliabilitymodelling3.3.4 Performance evaluation3.4 Results and discussions3.5 ConclusionsRe ferencesChapter 4 Using Bayesian Networks in Reliability Evaluation for Subsea Blowout Preventer Control System4.1 Introduction4.2 System description4.2.1 Subsea BOP system4.2.2 Configuration of subsea BOP control system4.3 Bayesian networks modelling for reliability analysis4.3.1 Overview ofBayesian networks4.3.2 Bayesian networks modelling for redundant systems4.3.3Bayesian networks modelling for subsea BOP control systems4.4 Results and discussions4.4.1 Reliability ofsubsea BOP contro4.4.2Difference between posterior and prior probabilities4.4.3Effects of coverage factors on th4.4.4 Effects offailure rate on the reli4.5 Conclusions Re fer enc e sChapter 5 Dynamic Bayesian Networks Based Performance Evaluation of Subsea Blowout Preventers in Presence oflmperfect Repair Chapter 6 Performance Evaluation of Subsea BOP Control Systems Using Dynamic Bayesian Networks with Imperfect Repair and Preventive MaintenanceChapter 7 Application of Bayesian Networks in Quantitative Risk Assessment of Subsea Blowout Preventer OperationsChapter 8 Research on the Dynamic Bayesian Networks Based Real-Time Reliability Evaluation MethodologyChapter 9 A Dynamic Bayesian Networks Modelling of Human Factors on Offshore BlowoutsChapter 10 Application ofBayesian Networks to Reliability Evaluation of Software System for Subsea Blowout Preventers