Contents
Foreword
Preface
Chapter 1 Development ofAutomatic Subsea Blowout Preventer Stack Control System Using PLC Based SCADA
1.1 Introduction
1.2 Hardware architecture
1.2.1Overall system architecture
1.2.2 Triple redundant controllers
1.2.3 DualredundantEthemet,
1.2.4 Redundant subsea electronic modules
1.3 Votingalgorithm
1.3.1Discrete output voting
1.3.2 Discrete input voting
1.3.3 Analoginputvoting
1.4 Software methodology
1.4.1 Controllog
1.4.2 HMI program
1.4.3Redundant databases
1.4.4 Remote access
1.5 Results and discussions
1.6 Conclusions
References
Chapter 2Reliability Analysis of Subsea Blowout Preventer Control Systems Subjected to Multiple Error Shocks
2.1 Intro duction
2.2 Systemdescription
2.2.1 Architecture of subsea BOP control system
2.2.2 Configuration ofsubsea BOP control system
2.3 System modelling and reliability analysis
2.3.1 Assumptions
2.3.2 System modelling and reliability analysis for TMR system
2.3.3System modelling and reliability analysis for DDMR system
2.4 Results and discussions
2.5 Conclusions
References
Chapter 3 Performance Evaluation of Subsea Blowout Preventer Systems with Common Cause Failures
3.1 Introduction
3.2 System description
3.3 Reliability modelling and analysis
3.3 1 Assumptions
3.3.2 Failure rate and repair rate calculations
3.3.3 Reliabilitymodelling
3.3.4 Performance evaluation
3.4 Results and discussions
3.5 Conclusions
Re ferences
Chapter 4 Using Bayesian Networks in Reliability Evaluation for Subsea Blowout Preventer Control System
4.1 Introduction
4.2 System description
4.2.1 Subsea BOP system
4.2.2 Configuration of subsea BOP control system
4.3 Bayesian networks modelling for reliability analysis
4.3.1 Overview ofBayesian networks
4.3.2 Bayesian networks modelling for redundant systems
4.3.3Bayesian networks modelling for subsea BOP control systems
4.4 Results and discussions
4.4.1 Reliability ofsubsea BOP contro
4.4.2Difference between posterior and prior probabilities
4.4.3Effects of coverage factors on th
4.4.4 Effects offailure rate on the reli
4.5 Conclusions Re fer enc e s
Chapter 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 Maintenance
Chapter 7 Application of Bayesian Networks in Quantitative Risk Assessment of Subsea Blowout Preventer Operations
Chapter 8 Research on the Dynamic Bayesian Networks Based Real-Time Reliability Evaluation Methodology
Chapter 9 A Dynamic Bayesian Networks Modelling of Human Factors on Offshore Blowouts
Chapter 10 Application ofBayesian Networks to Reliability Evaluation of Software System for Subsea Blowout Preventers
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