Gas and Oil Reliability Engineering

Modeling and Analysis
 
 
Gulf Professional Publishing
  • 2. Auflage
  • |
  • erschienen am 22. Juni 2016
  • |
  • 808 Seiten
 
E-Book | ePUB mit Adobe DRM | Systemvoraussetzungen
E-Book | PDF mit Adobe DRM | Systemvoraussetzungen
978-0-12-811173-4 (ISBN)
 

Gas and Oil Reliability Engineering: Modeling and Analysis, Second Edition, provides the latest tactics and processes that can be used in oil and gas markets to improve reliability knowledge and reduce costs to stay competitive, especially while oil prices are low.

Updated with relevant analysis and case studies covering equipment for both onshore and offshore operations, this reference provides the engineer and manager with more information on lifetime data analysis (LDA), safety integrity levels (SILs), and asset management.

New chapters on safety, more coverage on the latest software, and techniques such as ReBi (Reliability-Based Inspection), ReGBI (Reliability Growth-Based Inspection), RCM (Reliability Centered Maintenance), and LDA (Lifetime Data Analysis), and asset integrity management, make the book a critical resource that will arm engineers and managers with the basic reliability principles and standard concepts that are necessary to explain their use for reliability assurance for the oil and gas industry.


  • Provides the latest tactics and processes that can be used in oil and gas markets to improve reliability knowledge and reduce costs
  • Presents practical knowledge with over 20 new internationally-based case studies covering BOPs, offshore platforms, pipelines, valves, and subsea equipment from various locations, such as Australia, the Middle East, and Asia
  • Contains expanded explanations of reliability skills with a new chapter on asset integrity management, relevant software, and techniques training, such as THERP, ASEP, RBI, FMEA, and RAMS


Eduardo Calixo is currently a RAMS expert, performing different reliability engineering and safety engineering analysis for Philotech GmbH in Germany. Eduardo has over 15 years of experience working in reliability engineering and safety for the oil and gas, railways, and mining industries. Previously, he has worked with many companies internationally as a reliability engineer such as Petrobras, Genesis Oil and Gas, and Reliasoft along with collaborating on projects with multiple major oil operators such as Chevron, Shell, and Kuwait Oil Company. Eduardo received his Bachelor in Industrial Engineering and his M.Sc. in Safety Management, both from Fedearl Fulminense University in Brazil and his D.Sc. in Energy and Environmental Engineering from the Federal University of Rio de Janiero.
  • Englisch
  • Oxford
  • |
  • USA
Elsevier Science
  • 27,40 MB
978-0-12-811173-4 (9780128111734)
0128111739 (0128111739)
weitere Ausgaben werden ermittelt
  • Front Cover
  • Gas and Oil Reliability Engineering
  • Gas and Oil Reliability Engineering: Modeling and Analysis
  • Copyright
  • Dedication
  • Contents
  • Preface
  • Acknowledgment
  • 1 - LIFETIME DATA ANALYSIS
  • 1.1 QUANTITATIVE FAILURE DATA ANALYSIS
  • 1.2 PROBABILITY DENSITY FUNCTIONS
  • 1.2.1 EXPONENTIAL PROBABILITY DENSITY FUNCTION
  • 1.2.2 NORMAL PROBABILITY DENSITY FUNCTION
  • 1.2.3 LOGISTIC PROBABILITY DENSITY FUNCTION
  • 1.2.4 LOGNORMAL PROBABILITY DENSITY FUNCTION
  • 1.2.5 LOGLOGISTIC PROBABILITY DENSITY FUNCTION
  • 1.2.6 GUMBEL PROBABILITY DENSITY FUNCTION
  • 1.2.7 WEIBULL PROBABILITY DENSITY FUNCTION
  • Mixed Weibull Probability Density Function
  • 1.2.8 GAMMA PROBABILITY DENSITY FUNCTION
  • 1.2.9 GENERALIZED GAMMA PROBABILITY DENSITY FUNCTION
  • 1.2.10 RAYLEIGH PROBABILITY DENSITY FUNCTION
  • 1.3 GOODNESS OF FIT METHODS: HOW TO DEFINE PDF PARAMETERS AND CHOOSE PDF THAT FITS BETTER IN FAILURES DATA
  • 1.3.1 PLOT METHOD
  • 1.3.2 RANK REGRESSION
  • 1.3.3 MAXIMUM LIKELIHOOD METHODS
  • 1.3.4 CHI SQUARE METHODS
  • 1.3.5 KOLMOGOROV-SMIRNOV METHOD
  • 1.3.6 CRAMER-VON MISES TESTS
  • 1.4 HOW RELIABLE IS RELIABILITY: CONFIDENCE BOUND WILL TELL YOU ABOUT !!!
  • 1.5 LIFETIME DATA ANALYSIS CASES
  • 1.5.1 PUMP LIFETIME DATA ANALYSIS
  • 1.5.2 SCREW COMPRESSOR LIFETIME DATA ANALYSIS CASE
  • 1.5.3 VALVE LIFETIME DATA ANALYSIS CASE
  • 1.5.4 SENSOR LIFETIME DATA ANALYSIS CASE
  • 1.5.5 HEAT EXCHANGER LIFETIME DATA ANALYSIS CASES
  • 1.5.6 PIPELINE LIFETIME DATA ANALYSIS CASES
  • 1.5.7 FURNACE LIFETIME DATA ANALYSIS CASES
  • REFERENCES
  • 2 - ACCELERATED LIFE TEST, RELIABILITY GROWTH ANALYSIS, AND PROBABILISTIC DEGRADATION ANALYSIS
  • 2.1 INTRODUCTION
  • 2.2 QUANTITATIVE ACCELERATED TEST
  • 2.2.1 ARRHENIUS LIFE-STRESS MODEL
  • 2.2.2 EYRING LIFE-STRESS MODEL
  • 2.2.3 INVERSE POWER LAW LIFE-STRESS MODEL
  • 2.2.4 TEMPERATURE-HUMIDITY STRESS MODEL
  • 2.2.5 THERMAL-NONTHERMAL STRESS MODEL
  • 2.2.6 GENERAL LOGLINEAR LIFE-STRESS MODEL
  • 2.2.7 PROPORTIONAL HAZARD MODEL
  • 2.2.8 CUMULATIVE RISK MODEL
  • 2.3 QUALITATIVE ACCELERATED TEST (HALT AND HASS)
  • 2.4 RELIABILITY GROWTH ANALYSIS
  • 2.4.1 DUANE MODEL
  • 2.4.2 CROW-AMSAA MODEL (NHPP)
  • 2.4.3 LLOYD-LIPOW
  • 2.4.4 GOMPERTZ MODEL
  • 2.4.5 LOGISTIC MODEL
  • 2.4.6 CROW EXTENDED MODEL
  • 2.4.7 POWER LAW
  • 2.5 PROBABILISTIC DEGRADATION ANALYSIS (PDA)
  • 2.5.1 LINEAR
  • 2.5.2 EXPONENTIAL
  • 2.5.3 POWER
  • 2.5.4 LOGARITHMIC
  • 2.5.5 PHASE EXPONENTIAL MODEL
  • REFERENCES
  • 3 - RELIABILITY AND MAINTENANCE
  • 3.1 INTRODUCTION
  • 3.1.1 FMEA INTRODUCTION
  • Design Failure Mode Effects Analysis
  • Failure Mode Analysis: Process and Operational Applications
  • Water Supply System
  • Electrical System
  • Load Movement System
  • Diethylamine Treatment System
  • Criticality Analysis to Define the Critical Equipment List
  • 3.2 MAINTENANCE STRATEGY
  • 3.3 RCM ANALYSIS
  • 3.4 RBI ANALYSIS
  • 3.5 REBI ANALYSIS (RELIABILITY BASED INSPECTION)
  • 3.6 REGBI ANALYSIS (RELIABILITY GROWTH BASED INSPECTION)
  • 3.7 OPTIMUM REPLACEMENT TIME ANALYSIS
  • 3.8 FRACAS ANALYSIS
  • 3.8.1 WARRANTY ANALYSIS
  • REFERENCES
  • APPENDIX
  • 3.9 FMEA, RCM, AND RBI CASE STUDIES
  • 3.9.1 CENTRIFUGAL PUMP FMEA/RCM
  • 3.9.2 VALVE FMEA/RCM
  • 3.9.3 PIPELINE FMEA/RBI
  • 3.9.4 TANK FMEA/RBI
  • 3.9.5 CENTRIFUGAL COMPRESSOR FMEA/RCM
  • 3.9.6 FLOWLINE FMEA/RBI
  • 4 - RELIABILITY, AVAILABILITY, AND MAINTAINABILITY (RAM ANALYSIS)
  • 4.1 RAM ANALYSIS INTRODUCTION
  • 4.1.1 SCOPE DEFINITION
  • 4.1.2 DATA FAILURE AND REPAIR ANALYSIS
  • 4.1.3 MODELING AND SIMULATION
  • 4.1.4 SENSITIVITY ANALYSIS
  • 4.1.5 CONCLUSION AND REPORTS
  • 4.2 MODELING AND SIMULATION
  • 4.2.1 RELIABILITY BLOCK DIAGRAM
  • DEA (Diethylamine) System-Assumption List to RBD Model
  • 4.2.2 MARKOV CHAIN METHODOLOGY
  • 4.2.3 SIMULATION
  • Case 1
  • Case 2
  • Case 3
  • 4.2.4 RELIABILITY AND AVAILABILITY PERFORMANCE INDEX
  • Percentage Losses Index
  • Failure Rank Index
  • Downtime Event Critical Index
  • Availability Rank Index
  • Reliability Importance Index
  • Availability Importance Index
  • Utilization Index
  • 4.3 SENSITIVITY ANALYSIS: REDUNDANCY POLICIES, MAINTENANCE POLICIES, STOCK POLICIES, AND LOGISTICS
  • 4.3.1 REDUNDANCY POLICIES
  • 4.3.2 MAINTENANCE POLICIES
  • 4.3.3 A GENERAL RENOVATION PROCESS: KIJIMA MODELS I AND II
  • 4.3.4 STOCK POLICY
  • 4.3.5 LOGISTICS
  • 4.4 IMPROVEMENT ALLOCATION BASED ON AVAILABILITY
  • 4.5 PERFORMANCE OPTIMIZATION
  • 4.6 CASE STUDIES
  • 4.6.1 SENSIBILITY ANALYSIS IN CRITICAL EQUIPMENT: THE DISTILLATION PLANT STUDY CASE IN THE BRAZILIAN OIL AND GAS INDUSTRY
  • Failure and Repair Data Analysis
  • Modeling
  • Preheating
  • Salt Treatment
  • Heating
  • Prefractioning Subsystem
  • Atmospheric Distillation
  • Water Treatment Subsystem
  • Diesel Drying Subsystem
  • Vacuum Distillation Subsystem
  • Merox Subsystem
  • Simulation Subsystem
  • Critical Analysis
  • Sensitivity Analysis
  • Conclusion
  • 4.6.2 SYSTEMS AVAILABILITY ENHANCEMENT METHODOLOGY: A REFINERY HYDROTREATING UNIT CASE STUDY
  • Failure and Repair Data Analysis
  • Optimization (Minimum Availability Target)
  • The Hydrodesulfurization Process
  • Modeling
  • Simulation and Optimization
  • Selective Hydrogenation Section Optimization
  • HDS First-Stage Optimization
  • HDS Second-Stage Optimization
  • Optimization of HDT
  • Conclusions
  • 4.6.3 THE NONLINEAR OPTIMIZATION METHODOLOGY MODEL: THE REFINERY PLANT AVAILABILITY OPTIMIZATION CASE STUDY
  • Failure and Repair Data Analysis
  • Modeling
  • Depropanizer
  • Deethanizer
  • C3 Separation
  • Simulation
  • Critical Analysis
  • Optimization
  • Conclusion
  • 4.6.4 CENPES II PROJECT RELIABILITY ANALYSIS CASE STUDY
  • System Characteristics
  • Electrical Subsystem
  • Natural Gas Subsystem
  • Diesel Oil Subsystem
  • Water-Cooling Subsystem
  • Cold Water Subsystem
  • Data Analysis
  • System Modeling and Simulation
  • System Modeling
  • Electric System Modeling
  • Water Cooling Subsystem Modeling
  • Cold Water Subsystem Modeling
  • Laboratories Modeling
  • Optimization
  • Efficiency Cost Analysis
  • Conclusions
  • 4.6.5 THE OPERATIONAL EFFECTS IN AVAILABILITY: THERMAL CRACKING PLANT RAM ANALYSIS CASE STUDY
  • Failure and Repair Data Analysis
  • Modeling
  • Feed and Preheating Subsystem
  • Thermal Cracking Subsystem
  • Fractioning Subsystem
  • Compression Subsystem
  • Stabilization
  • Simulation
  • Critical Analysis
  • Sensibility Analysis
  • Conclusion
  • 4.6.6 PARTIAL AVAILABILITY BASED ON SYSTEM AGE: THE DRILL FACILITY SYSTEM CASE STUDY
  • Introduction
  • Partial Availability
  • Partial Availability Case Study
  • Modeling and Simulation
  • Stock Policy
  • A General Renovation Process-Degradation in Stock
  • Inspection Based on Reliability Growth
  • Conclusions
  • 4.6.7 HIGH-PERFORMANCE SYSTEM REQUIRES IMPROVEMENTS? THE COMPRESSOR'S OPTIMUM REPLACEMENT TIME CASE STUDY
  • Failure and Repair Data Analysis
  • Modeling
  • Warming Subsystem
  • Conversion
  • Cold Area
  • Diethylamine Subsystem
  • Cleaning
  • Simulation
  • Critical Analysis
  • Sensitivity Analysis
  • Conclusion
  • 4.6.8 RAM+L ANALYSIS: REFINERY CASE STUDY
  • Failure and Repair Data Analysis
  • System Modeling
  • Atmospheric Distillation Plant (U-11)
  • Atmospheric and Vacuum Distillation Plant (U-10)
  • Thermal Catalytic Cracking Plant (U-211)
  • Diesel Hydrodesulfurization Plant (U-13)
  • Naphtha Hydrodesulfurization Plant (U-12)
  • Acid Gas Treatment Plant (Diethylamine Plant, U-23)
  • Acid Water Treatment Plant (U-26)
  • Catalytic Cracking Plant (U-21)
  • Reforming Catalytic Cracking Plant (U-22)
  • Fractioning Plant (U-20)
  • Logistic Resources
  • Systems Simulation
  • Critical Analysis and Improvement Actions
  • RAM+L Simulation
  • Conclusions
  • 4.6.9 RAM ANALYSIS APPLIED TO DECOMMISSIONING PHASE: COMPARISON AND ASSESSMENT OF DIFFERENT METHODS TO PREDICT FUTURE FAILURES
  • Introduction
  • RAM Analysis in Decommissioning Phase
  • Reliability Growth Analysis
  • General Renewal Process
  • Lifetime Data Analysis
  • Comparing Different Methods
  • RAM Analysis in the Decommissioning Phase Case Study
  • Conclusion
  • 4.6.10 RAM ANALYSIS DURING THE DESIGN PHASE: THE BEST PLATFORM OFFSHORE CONFIGURATION CASE STUDY
  • Introduction
  • Methodology
  • Lifetime Data Analysis
  • Modeling
  • Simulation
  • Criticality Analysis
  • Sensitivity Analysis
  • Conclusion
  • REFERENCES
  • BIBLIOGRAPHY
  • 5 - HUMAN RELIABILITY ANALYSIS
  • 5.1 INTRODUCTION
  • 5.1.1 HUMAN RELIABILITY CONCEPTS
  • 5.2 TECHNIQUE FOR HUMAN ERROR RATE PREDICTION (THERP)
  • 5.3 OPERATOR ACTION TREE (OAT)
  • 5.4 ACCIDENT SEQUENCE EVALUATION PROGRAM (ASEP)
  • 5.4.1 PRE-ACCIDENT ANALYSIS METHODOLOGY
  • 5.4.2 POST-ACCIDENT ANALYSIS METHODOLOGY
  • 5.5 HUMAN ERROR ASSESSMENT REDUCTION TECHNIQUE (HEART)
  • 5.6 SOCIOTECHNICAL ANALYSIS OF HUMAN RELIABILITY (STAH-R)
  • 5.7 STANDARDIZED PLANT ANALYSIS RISK-HUMAN RELIABILITY (SPAR-H)
  • 5.8 SUCCESS LIKELIHOOD INDEX METHODOLOGY IMPLEMENTED THROUGH MULTI-ATTRIBUTE UTILITY DECOMPOSITION (SLIM-MAUD)
  • 5.9 SYSTEMATIC HUMAN ERROR REDUCTION AND PREDICTION APPROACH (SHERPA)
  • 5.10 BAYESIAN NETWORK
  • 5.11 CASE STUDY
  • 5.11.1 THERP CASE STUDY APPLICATION
  • 5.11.2 OAT CASE STUDY APPLICATION
  • 5.11.3 SPAR-H CASE STUDY APPLICATION
  • 5.11.4 HEART CASE STUDY APPLICATION
  • 5.11.5 STAHR CASE STUDY APPLICATION
  • 5.11.6 SLIM-MAUD CASE STUDY APPLICATION
  • 5.11.7 BAYESIAN NETWORK APPLICATION
  • 5.11.8 METHODOLOGIES COMPARISON
  • 5.11.9 CONCLUSION
  • 5.12 HUMAN ERROR IMPACT ON PLATFORM OPERATIONAL AVAILABILITY
  • 5.12.1 HUMAN ERROR ASSESSMENT DURING COMMISSIONING PHASE
  • 5.12.2 HUMAN ERROR EFFECT ON PLATFORM SYSTEM OPERATIONAL AVAILABILITY
  • 5.12.3 CONCLUSION
  • 5.13 ESDV (EMERGENCY SHUTDOWN VALVE): OPERATIONAL HUMAN ERROR ANALYSIS
  • 5.13.1 ESDV SHUTDOWN CASE STUDY
  • 5.13.2 SPAR-H
  • 5.13.3 SPAH-R: COMMISSION ERROR PROBABILITY
  • REFERENCES
  • 6 - RELIABILITY AND SAFETY PROCESSES
  • 6.1 INTRODUCTION
  • 6.2 RISK ANALYSIS METHODS
  • 6.3 PRELIMINARY HAZARD ANALYSIS (PHA)
  • 6.4 HAZARD AND OPERABILITY ANALYSIS (HAZOP)
  • 6.5 FAULT TREE ANALYSIS (FTA)
  • 6.5.1 TIME-INDEPENDENT FTA
  • 6.5.2 TIME-DEPENDENT FTA
  • 6.5.3 FTA AS QUALITATIVE RISK ANALYSIS SUPPORT
  • 6.5.4 FTA AS A ROOT CAUSE ANALYSIS TOOL
  • 6.6 EVENT TREE ANALYSIS (ETA)
  • 6.6.1 TIME-INDEPENDENT ETA
  • 6.6.2 TIME-DEPENDENT ETA
  • 6.7 LAYERS OF PROTECTION ANALYSIS (LOPA)
  • 6.7.1 INDEPENDENT TIME LOPA
  • 6.7.2 TIME-DEPENDENT LOPA
  • 6.7.3 TIME-DEPENDENT LOPA AS QUALITATIVE RISK ANALYSIS SUPPORT
  • 6.8 SAFETY INTEGRITY LEVEL ANALYSIS (SIL ANALYSIS)
  • 6.8.1 HAZARD MATRIX METHODOLOGY
  • 6.8.2 RISK GRAPH METHODOLOGY
  • 6.8.3 FREQUENCY TARGET METHODOLOGY
  • 6.8.4 INDIVIDUAL AND SOCIETAL RISK METHODOLOGY
  • 6.8.5 QUANTITATIVE APPROACH TO DEFINING PROBABILITY OF FAILURE ON DEMAND
  • 6.9 BOW TIE ANALYSIS
  • 6.9.1 TIME-INDEPENDENT BOW TIE ANALYSIS
  • 6.9.2 TIME-DEPENDENT BOW TIE ANALYSIS
  • 6.10 RISK ANALYSIS CASE STUDIES
  • 6.10.1 CASE STUDY 1: APPLYING LOPA TO DECIDE WHETHER RISK IS ACCEPTABLE WHEN LAYERS OF PROTECTION ARE NOT AVAILABLE
  • 6.10.2 CASE STUDY 2: RAMS ANALYSIS METHODOLOGY APPLIED TO MEASURE SAFETY PROCESS EFFECTS ON SYSTEM AVAILABILITY
  • Safety Processes
  • RAM Analysis Case Study
  • 6.10.3 CASE STUDY 3: SHUTDOWN EMERGENCY VALVE RISK ANALYSIS: FTA, BOW TIE, AND HRA INTEGRATED APPROACH
  • Human Reliability: Standardized Plant Analysis Risk-Human Reliability (SPAR-H) and Accident Sequence Evaluation Program (AS ...
  • SPAH-R: Commission Error Probability
  • Bow Tie Case Study Application
  • FTA Case Application
  • Hybrid Method Case Application
  • Conclusions
  • 6.10.4 CASE STUDY 4: BLOWOUT ACCIDENT ANALYSIS BASED ON BOW TIE METHODOLOGY
  • 6.10.5 CASE STUDY 5: SAFETY INTEGRITY LEVEL RISK ASSESSMENT: SIL SELECTION AND VERIFICATION ANALYSIS
  • HAZID
  • LOPA
  • SIL Selection
  • Risk Matrix
  • Risk Graph Method
  • SIL Verification
  • REFERENCES
  • 6 . APPENDIX A
  • 7 - RELIABILITY MANAGEMENT
  • 7.1 RELIABILITY MANAGEMENT OVER THE ENTERPRISE LIFE CYCLE
  • 7.2 RELIABILITY MANAGEMENT SUCCESS FACTORS
  • 7.3 THE 10 RELIABILITY PITFALLS FOR THE OIL AND GAS INDUSTRY
  • 7.3.1 PITFALL 1: ASSUME EXPONENTIAL PDF FOR ALL TYPES OF EQUIPMENT AND COMPONENTS
  • 7.3.2 PITFALL 2: TO USE MTBF AND FAILURE RATE AS A PERFORMANCE INDEX
  • 7.3.3 PITFALL 3: DO NOT CONSIDER THE PREVENTIVE MAINTENANCE EFFECT ON RELIABILITY AND OPERATIONAL AVAILABILITY
  • 7.3.4 PITFALL 4: DO NOT CONSIDER THE HUMAN FACTOR IN RELIABILITY ANALYSIS
  • 7.3.5 PITFALL 5: DO NOT CONSIDER DIFFERENT OPERATION CONDITION EFFECTS ON RELIABILITY PREDICTION
  • 7.3.6 PITFALL 6: DO NOT CONSIDER ALT, HALT, AND RGA WHEN NECESSARY
  • 7.3.7 PITFALL 7: TO APPLY REDUNDANCY TO INCREASE SYSTEM OPERATIONAL AVAILABILITY FOR ALL CASES
  • 7.3.8 PITFALL 8: DO NOT TAKE INTO ACCOUNT QUALITATIVE METHODS RECOMMENDATION TO IMPROVE RELIABILITY PERFORMANCE
  • 7.3.9 PITFALL 9: DO NOT CONSIDER LIFE CYCLE COST AS PART OF RELIABILITY ENGINEERING ANALYSIS
  • 7.3.10 PITFALL 10: DO NOT CONSIDER RELIABILITY ENGINEERING AS PART OF ASSET MANAGEMENT
  • 7.4 RELIABILITY ENGINEERING: IMPLEMENTATION OF BARRIERS TO SUCCESSFUL ACHIEVEMENT
  • 7.4.1 THE DECISOR'S PROFILE
  • 7.4.2 THE ORGANIZATIONAL FAST FOOD CULTURE
  • 7.4.3 THE STANDARD APPROACH
  • 7.5 RELIABILITY MANAGEMENT: SUCCESSFUL CASES
  • 7.5.1 BAYER
  • 7.5.2 USNRC (UNITED STATES NUCLEAR REGULATORY COMMISSION)
  • 7.5.3 ESREDA (EUROPEAN SAFETY AND RELIABILITY AND DATA ASSOCIATION)
  • 7.5.4 ESRA (EUROPEAN SAFETY AND RELIABILITY ASSOCIATION)
  • 7.5.5 SINTEF (STIFTELSEN FOR INDUSTRIELL OG TEKNISK FORSKNING)
  • 7.6 RELIABILITY ENGINEER TEACHING AND RESEARCH: SUCCESSFUL UNIVERSITIES AND RESEARCH CENTER CASES
  • 7.6.1 KARLSRUHE INSTITUTE OF TECHNOLOGY
  • 7.6.2 INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR
  • 7.6.3 UNIVERSITY OF STRATHCLYDE BUSINESS SCHOOL
  • 7.6.4 UNIVERSITY OF STAVANGER
  • 7.7 RELIABILITY MANAGEMENT FINAL THOUGHTS
  • REFERENCES
  • FURTHER READING
  • 8 - ASSET MANAGEMENT
  • 8.1 ASSET MANAGEMENT
  • 8.2 ASSET INTEGRITY MANAGEMENT
  • 8.3 INTEGRATED LOGISTIC SUPPORT
  • 8.4 ASSET MANAGEMENT PROGRAM EVALUATION
  • 8.5 ASSET MANAGEMENT CASE STUDIES
  • 8.5.1 ASSET INTEGRITY MANAGEMENT IMPLEMENTATION DURING THE DESIGN PHASE: THE SUBSEA CASE STUDY
  • Asset Integrity Management Phases
  • Asset Integrity Management: Flexible Riser
  • Sixth Phase: Integrated Asset Integrity Management
  • Loss of Containment
  • Extreme Weather
  • Conclusion
  • 8.5.2 ASSET INTEGRITY MANAGEMENT IMPLEMENTATION DURING THE PREDESIGN PHASE: THE SULFUR RECOVERY PLANT CASE
  • Conclusions
  • 8.5.3 INTEGRATED LOGISTIC SUPPORT DURING THE DESIGN PHASE: THE SUBSEA CASE STUDY
  • Conclusion
  • 8.5.4 ASSET MANAGEMENT PROGRAM EVALUATION DURING THE DESIGN PHASE: THE OFFSHORE CASE STUDY
  • Asset Management Aspects Evaluation
  • Conclusion
  • REFERENCES
  • Index
  • A
  • B
  • C
  • D
  • E
  • F
  • G
  • H
  • I
  • K
  • L
  • M
  • N
  • O
  • P
  • Q
  • R
  • S
  • T
  • U
  • V
  • W
  • X
  • Z
  • Back Cover

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