{"product_id":"production-availability-and-reliability-use-in-the-oil-and-gas-industry-hardback-9781786301680","title":"Production Availability and Reliability; Use in the Oil and Gas industry (Hardback) 9781786301680","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eProduction Availability and Reliability\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eUse in the Oil and Gas industry\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eAlain Leroy (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781786301680, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 28 March 2018\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e368 pages\u003cbr\u003e23.9 x 16.3 x 2.5 cm, 0.658 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eThe objective of the book is to provide all the elements to evaluate the performance of production availability and reliability of a system, to integrate them and to manage them in its life cycle. By the examples provided (case studies) the main target audience is that of the petroleum industries (where I spent most of my professional years). Although the greatest rigor is applied in the presentation, and justification, concepts, methods and data this book is geared towards the user.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1. Basic Concepts 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1. Introduction 1\u003c\/p\u003e \u003cp\u003e1.2. Definition of terms 1\u003c\/p\u003e \u003cp\u003e1.2.1. Risk 1\u003c\/p\u003e \u003cp\u003e1.2.2. Time definitions 2\u003c\/p\u003e \u003cp\u003e1.2.3. Failures and repairs 4\u003c\/p\u003e \u003cp\u003e1.2.4. IEC 61508 terms 8\u003c\/p\u003e \u003cp\u003e1.3. Definition of parameters 10\u003c\/p\u003e \u003cp\u003e1.3.1. Reliability 10\u003c\/p\u003e \u003cp\u003e1.3.2. Maintainability 12\u003c\/p\u003e \u003cp\u003e1.3.3. Availability and production availability 12\u003c\/p\u003e \u003cp\u003e1.3.4. Dependability 13\u003c\/p\u003e \u003cp\u003e1.3.5. Definitions used by maintenance engineers 13\u003c\/p\u003e \u003cp\u003e1.3.6. Definitions used in the refinery industry 14\u003c\/p\u003e \u003cp\u003e1.4. The exponential law\/the constant failure rate 14\u003c\/p\u003e \u003cp\u003e1.4.1. Reliability 14\u003c\/p\u003e \u003cp\u003e1.4.2. Validity 15\u003c\/p\u003e \u003cp\u003e1.4.3. Oil and gas industry 16\u003c\/p\u003e \u003cp\u003e1.5. The bathtub curve 16\u003c\/p\u003e \u003cp\u003e1.5.1. Meaning 16\u003c\/p\u003e \u003cp\u003e1.5.2. Useful life and mission life 18\u003c\/p\u003e \u003cp\u003e1.5.3. Validity 18\u003c\/p\u003e \u003cp\u003e1.5.4. Oil and gas industry 18\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2. Mathematics for Reliability 21\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1. Introduction 21\u003c\/p\u003e \u003cp\u003e2.2. Basis of probability and statistics 22\u003c\/p\u003e \u003cp\u003e2.2.1. Boolean algebra 22\u003c\/p\u003e \u003cp\u003e2.2.2. Probability relations 22\u003c\/p\u003e \u003cp\u003e2.2.3. Probability distributions 24\u003c\/p\u003e \u003cp\u003e2.2.4. Characteristics of probability distributions 24\u003c\/p\u003e \u003cp\u003e2.2.5. Families and conjugates 26\u003c\/p\u003e \u003cp\u003e2.3. Formulae and theorems 27\u003c\/p\u003e \u003cp\u003e2.3.1. Combinatorial analysis 27\u003c\/p\u003e \u003cp\u003e2.3.2. Central limit theorem 28\u003c\/p\u003e \u003cp\u003e2.3.3. Chebyshev’s inequality 28\u003c\/p\u003e \u003cp\u003e2.3.4. Laws of large numbers 28\u003c\/p\u003e \u003cp\u003e2.3.5. Supporting functions and distributions 29\u003c\/p\u003e \u003cp\u003e2.3.6. Bayes’ theorem 30\u003c\/p\u003e \u003cp\u003e2.4. Useful discrete probability distributions 32\u003c\/p\u003e \u003cp\u003e2.4.1. Binomial distribution 33\u003c\/p\u003e \u003cp\u003e2.4.2. Poisson distribution. 33\u003c\/p\u003e \u003cp\u003e2.5. Useful continuous probability distributions 35\u003c\/p\u003e \u003cp\u003e2.5.1. Exponential distribution 35\u003c\/p\u003e \u003cp\u003e2.5.2. Uniform distribution 36\u003c\/p\u003e \u003cp\u003e2.5.3. Triangular distribution 37\u003c\/p\u003e \u003cp\u003e2.5.4. Normal distribution 38\u003c\/p\u003e \u003cp\u003e2.5.5. Log-normal distribution 40\u003c\/p\u003e \u003cp\u003e2.5.6. Weibull distribution 43\u003c\/p\u003e \u003cp\u003e2.5.7. Gamma distribution 44\u003c\/p\u003e \u003cp\u003e2.5.8. Beta distribution 45\u003c\/p\u003e \u003cp\u003e2.5.9. Chi-squared distribution 46\u003c\/p\u003e \u003cp\u003e2.5.10. Fisher-Snedecor distribution 46\u003c\/p\u003e \u003cp\u003e2.6. Statistical estimates 47\u003c\/p\u003e \u003cp\u003e2.6.1. Estimates 47\u003c\/p\u003e \u003cp\u003e2.6.2. Calculation of point estimate 47\u003c\/p\u003e \u003cp\u003e2.6.3. Calculation of confidence interval 50\u003c\/p\u003e \u003cp\u003e2.6.4. Heterogeneous samples 52\u003c\/p\u003e \u003cp\u003e2.6.5. Implementation 53\u003c\/p\u003e \u003cp\u003e2.7. Fitting of failure distribution 53\u003c\/p\u003e \u003cp\u003e2.7.1. Principle 53\u003c\/p\u003e \u003cp\u003e2.7.2. Median rank method 54\u003c\/p\u003e \u003cp\u003e2.7.3. Implementation 55\u003c\/p\u003e \u003cp\u003e2.8. Hypothesis testing 57\u003c\/p\u003e \u003cp\u003e2.8.1. Principle 57\u003c\/p\u003e \u003cp\u003e2.8.2. Existing tests. 58\u003c\/p\u003e \u003cp\u003e2.8.3. Implementation 58\u003c\/p\u003e \u003cp\u003e2.9. Bayesian reliability 60\u003c\/p\u003e \u003cp\u003e2.9.1. Definition 60\u003c\/p\u003e \u003cp\u003e2.9.2. Use of Bayes’ theorem 61\u003c\/p\u003e \u003cp\u003e2.9.3. Bayesian inference 61\u003c\/p\u003e \u003cp\u003e2.9.4. Selection of the prior probability distribution 62\u003c\/p\u003e \u003cp\u003e2.9.5. Determination of the posterior probability distribution 62\u003c\/p\u003e \u003cp\u003e2.9.6. Bayesian credibility interval 64\u003c\/p\u003e \u003cp\u003e2.10. Extreme value probability distributions 65\u003c\/p\u003e \u003cp\u003e2.10.1. Meaning. 65\u003c\/p\u003e \u003cp\u003e2.10.2. The three extreme value probability distributions 65\u003c\/p\u003e \u003cp\u003e2.10.3. Use in the industry 66\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3. Assessment of Standard Systems 67\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1. Introduction 67\u003c\/p\u003e \u003cp\u003e3.2. Single item 67\u003c\/p\u003e \u003cp\u003e3.2.1. Availability 68\u003c\/p\u003e \u003cp\u003e3.2.2. Number of failures 69\u003c\/p\u003e \u003cp\u003e3.3. System reliability 70\u003c\/p\u003e \u003cp\u003e3.3.1. Series systems 70\u003c\/p\u003e \u003cp\u003e3.3.2. Parallel systems 72\u003c\/p\u003e \u003cp\u003e3.4. Specific architectures 73\u003c\/p\u003e \u003cp\u003e3.4.1. Method of analysis 73\u003c\/p\u003e \u003cp\u003e3.4.2. Redundant item system 74\u003c\/p\u003e \u003cp\u003e3.5. On-guard items 76\u003c\/p\u003e \u003cp\u003e3.5.1. Unrevealed failures 76\u003c\/p\u003e \u003cp\u003e3.5.2. Full formula 77\u003c\/p\u003e \u003cp\u003e3.5.3. Optimum proof test duration 79\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4. Classic Methods 81\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1. Introduction 81\u003c\/p\u003e \u003cp\u003e4.2. Failure Mode and Effects Analysis 81\u003c\/p\u003e \u003cp\u003e4.2.1. Conventional Failure Mode and Effects Analysis\/Failure Mode,Effects and Criticality Analysis 81\u003c\/p\u003e \u003cp\u003e4.2.2. Functional\/hardware FMEA 84\u003c\/p\u003e \u003cp\u003e4.2.3. Case study 84\u003c\/p\u003e \u003cp\u003e4.3. Fault trees 89\u003c\/p\u003e \u003cp\u003e4.3.1. Conventional fault trees 89\u003c\/p\u003e \u003cp\u003e4.3.2. Fault tree extensions 93\u003c\/p\u003e \u003cp\u003e4.3.3. Facilities provided by software packages 94\u003c\/p\u003e \u003cp\u003e4.3.4. Case study 94\u003c\/p\u003e \u003cp\u003e4.4. Reliability block diagrams 98\u003c\/p\u003e \u003cp\u003e4.4.1. Conventional RBDs 98\u003c\/p\u003e \u003cp\u003e4.4.2. RBD extension 102\u003c\/p\u003e \u003cp\u003e4.4.3. Facilities provided by software packages 103\u003c\/p\u003e \u003cp\u003e4.4.4. Case study 103\u003c\/p\u003e \u003cp\u003e4.5. Monte Carlo method 104\u003c\/p\u003e \u003cp\u003e4.5.1. Principle 104\u003c\/p\u003e \u003cp\u003e4.5.2. Use for production availability and reliability 106\u003c\/p\u003e \u003cp\u003e4.5.3. How many runs are enough? 107\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5. Petri Net Method 109\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1. Introduction 109\u003c\/p\u003e \u003cp\u003e5.2. Petri nets 110\u003c\/p\u003e \u003cp\u003e5.2.1. Definition 110\u003c\/p\u003e \u003cp\u003e5.2.2. Mathematical properties 111\u003c\/p\u003e \u003cp\u003e5.2.3. Petri net construction 112\u003c\/p\u003e \u003cp\u003e5.2.4. GRAFCET 117\u003c\/p\u003e \u003cp\u003e5.3. IEC 62551 extensions 117\u003c\/p\u003e \u003cp\u003e5.3.1. Extensions to structure 117\u003c\/p\u003e \u003cp\u003e5.3.2. Modified execution rules 120\u003c\/p\u003e \u003cp\u003e5.4. Additional extensions 121\u003c\/p\u003e \u003cp\u003e5.4.1. Extensions to structure 121\u003c\/p\u003e \u003cp\u003e5.4.2. Modified execution rules 122\u003c\/p\u003e \u003cp\u003e5.5. Facilities provided by software packages 123\u003c\/p\u003e \u003cp\u003e5.5.1. Additional extensions to structure 123\u003c\/p\u003e \u003cp\u003e5.5.2. Modified execution rules 123\u003c\/p\u003e \u003cp\u003e5.5.3. Petri net processing 123\u003c\/p\u003e \u003cp\u003e5.5.4. Results 123\u003c\/p\u003e \u003cp\u003e5.6. Petri net construction 124\u003c\/p\u003e \u003cp\u003e5.6.1. Petri net modeling 124\u003c\/p\u003e \u003cp\u003e5.6.2. Minimizing the risk of error input 124\u003c\/p\u003e \u003cp\u003e5.6.3. Petri net checking 124\u003c\/p\u003e \u003cp\u003e5.6.4. Petri net validation 125\u003c\/p\u003e \u003cp\u003e5.7. Case study 125\u003c\/p\u003e \u003cp\u003e5.7.1. System description 125\u003c\/p\u003e \u003cp\u003e5.7.2. Petri net model 126\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6. Sources of Reliability Data 133\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1. Introduction 133\u003c\/p\u003e \u003cp\u003e6.2. The OREDA project 133\u003c\/p\u003e \u003cp\u003e6.2.1. History 133\u003c\/p\u003e \u003cp\u003e6.2.2. Project management and organization 135\u003c\/p\u003e \u003cp\u003e6.2.3. Description of OREDA 2015 handbooks 135\u003c\/p\u003e \u003cp\u003e6.2.4. Use of the data tables 137\u003c\/p\u003e \u003cp\u003e6.2.5. Use of the additional tables 141\u003c\/p\u003e \u003cp\u003e6.2.6. Reliability database and data analysis software 143\u003c\/p\u003e \u003cp\u003e6.2.7. Data collection software 144\u003c\/p\u003e \u003cp\u003e6.3. The PDS handbook 144\u003c\/p\u003e \u003cp\u003e6.3.1. History 144\u003c\/p\u003e \u003cp\u003e6.3.2. Description of the handbook 145\u003c\/p\u003e \u003cp\u003e6.3.3. Use of the handbook 145\u003c\/p\u003e \u003cp\u003e6.4. Reliability Analysis Center\/Reliability Information Analysis Center publications 145\u003c\/p\u003e \u003cp\u003e6.4.1. History 145\u003c\/p\u003e \u003cp\u003e6.4.2. Non-electronic Part Reliability Data handbook 146\u003c\/p\u003e \u003cp\u003e6.4.3. FMD 146\u003c\/p\u003e \u003cp\u003e6.4.4. NONOP 146\u003c\/p\u003e \u003cp\u003e6.4.5. Use of the publications 146\u003c\/p\u003e \u003cp\u003e6.5. Other publications 147\u003c\/p\u003e \u003cp\u003e6.5.1. EXIDA handbooks 147\u003c\/p\u003e \u003cp\u003e6.5.2. Electrical items 147\u003c\/p\u003e \u003cp\u003e6.5.3. Pipelines 148\u003c\/p\u003e \u003cp\u003e6.5.4. Flexibles 149\u003c\/p\u003e \u003cp\u003e6.5.5. Miscellaneous 149\u003c\/p\u003e \u003cp\u003e6.6. Missing information 150\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7. Use of Reliability Test and Field Data 151\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1. Introduction 151\u003c\/p\u003e \u003cp\u003e7.2. Reliability test data 151\u003c\/p\u003e \u003cp\u003e7.2.1. Principle 151\u003c\/p\u003e \u003cp\u003e7.2.2. Test organization 152\u003c\/p\u003e \u003cp\u003e7.2.3. Assessment of failure rate 152\u003c\/p\u003e \u003cp\u003e7.3. Field data 154\u003c\/p\u003e \u003cp\u003e7.3.1. Principle 154\u003c\/p\u003e \u003cp\u003e7.3.2. Data collection organization 155\u003c\/p\u003e \u003cp\u003e7.3.3. Assessment of failure rate 155\u003c\/p\u003e \u003cp\u003e7.3.4. Assessment of probability to fail upon demand 156\u003c\/p\u003e \u003cp\u003e7.3.5. Assessment of MRT 156\u003c\/p\u003e \u003cp\u003e7.3.6. Case study 156\u003c\/p\u003e \u003cp\u003e7.4. Accelerated tests 157\u003c\/p\u003e \u003cp\u003e7.4.1. Principle 157\u003c\/p\u003e \u003cp\u003e7.4.2. Example 158\u003c\/p\u003e \u003cp\u003e7.4.3. Highly accelerated tests 159\u003c\/p\u003e \u003cp\u003e7.5. Reliability growth 159\u003c\/p\u003e \u003cp\u003e7.5.1. Principle 159\u003c\/p\u003e \u003cp\u003e7.5.2. Main models 159\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8. Use of Expert Judgment. 163\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1. Introduction 163\u003c\/p\u003e \u003cp\u003e8.2. Basis 164\u003c\/p\u003e \u003cp\u003e8.2.1. Definitions 164\u003c\/p\u003e \u003cp\u003e8.2.2. Protocol for expert elicitation 164\u003c\/p\u003e \u003cp\u003e8.2.3. Role of the facilitator 165\u003c\/p\u003e \u003cp\u003e8.3. Characteristics of the experts 166\u003c\/p\u003e \u003cp\u003e8.3.1. Definition 166\u003c\/p\u003e \u003cp\u003e8.3.2. Selection 166\u003c\/p\u003e \u003cp\u003e8.3.3. Biases 167\u003c\/p\u003e \u003cp\u003e8.3.4. Expert weighting 168\u003c\/p\u003e \u003cp\u003e8.3.5. Expert dependence 169\u003c\/p\u003e \u003cp\u003e8.3.6. Aggregation of judgments 169\u003c\/p\u003e \u003cp\u003e8.4. Use of questionnaires 169\u003c\/p\u003e \u003cp\u003e8.4.1. Conditions of use 169\u003c\/p\u003e \u003cp\u003e8.4.2. The Delphi method 170\u003c\/p\u003e \u003cp\u003e8.4.3. Case study 171\u003c\/p\u003e \u003cp\u003e8.5. Use of interactive group 173\u003c\/p\u003e \u003cp\u003e8.5.1. Number of experts 173\u003c\/p\u003e \u003cp\u003e8.5.2. Procedure. 173\u003c\/p\u003e \u003cp\u003e8.6. Use of individual interviews 174\u003c\/p\u003e \u003cp\u003e8.6.1. Conditions of use 174\u003c\/p\u003e \u003cp\u003e8.6.2. Case study 174\u003c\/p\u003e \u003cp\u003e8.7. Bayesian aggregation of judgment 175\u003c\/p\u003e \u003cp\u003e8.7.1. Form of information provided by experts 175\u003c\/p\u003e \u003cp\u003e8.7.2. Assessment of failure rate (or MTBF) 176\u003c\/p\u003e \u003cp\u003e8.7.3. Assessment of probability of failure upon demand 177\u003c\/p\u003e \u003cp\u003e8.8. Validity of expert judgment 177\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9. Supporting Topics 179\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1. Introduction 179\u003c\/p\u003e \u003cp\u003e9.2. Common cause failures 179\u003c\/p\u003e \u003cp\u003e9.2.1. Introduction 179\u003c\/p\u003e \u003cp\u003e9.2.2. Definition 180\u003c\/p\u003e \u003cp\u003e9.2.3. Defenses against CCF 181\u003c\/p\u003e \u003cp\u003e9.2.4. CCF modeling with the beta-factor method 182\u003c\/p\u003e \u003cp\u003e9.2.5. CCF modeling with the shock method 185\u003c\/p\u003e \u003cp\u003e9.2.6. Extension of the beta-factor model: the PDS method 188\u003c\/p\u003e \u003cp\u003e9.2.7. Field data 189\u003c\/p\u003e \u003cp\u003e9.2.8. Impact of CCF on system reliability 190\u003c\/p\u003e \u003cp\u003e9.2.9. Impact of testing policy on CCF 191\u003c\/p\u003e \u003cp\u003e9.2.10. Impact of CCF on system production availability 194\u003c\/p\u003e \u003cp\u003e9.2.11. Benchmark on CCF assessment 194\u003c\/p\u003e \u003cp\u003e9.3. Mechanical reliability 195\u003c\/p\u003e \u003cp\u003e9.3.1. Characteristics 195\u003c\/p\u003e \u003cp\u003e9.3.2. Stress-strength interference 195\u003c\/p\u003e \u003cp\u003e9.3.3. Empirical reliability relationships 197\u003c\/p\u003e \u003cp\u003e9.3.4. Comparison with system (constant failure rate) approach 199\u003c\/p\u003e \u003cp\u003e9.4. Reliability of electronic items 199\u003c\/p\u003e \u003cp\u003e9.4.1. Characteristics 199\u003c\/p\u003e \u003cp\u003e9.4.2. MIL-HDBK-217 200\u003c\/p\u003e \u003cp\u003e9.4.3. UTE-C-80811 201\u003c\/p\u003e \u003cp\u003e9.4.4. Other reliability data books 201\u003c\/p\u003e \u003cp\u003e9.4.5. EPRD 203\u003c\/p\u003e \u003cp\u003e9.4.6. Effect of dormancy period 203\u003c\/p\u003e \u003cp\u003e9.4.7. Common cause failures 203\u003c\/p\u003e \u003cp\u003e9.4.8. Comparison of previsions 204\u003c\/p\u003e \u003cp\u003e9.4.9. Use in the oil and gas industry 205\u003c\/p\u003e \u003cp\u003e9.5. Human reliability 205\u003c\/p\u003e \u003cp\u003e9.5.1. Human factors 205\u003c\/p\u003e \u003cp\u003e9.5.2. Human reliability in the nuclear industry 205\u003c\/p\u003e \u003cp\u003e9.5.3. Evaluation of HRA techniques 206\u003c\/p\u003e \u003cp\u003e9.5.4. Human reliability in the oil and gas industry 206\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10. System Reliability Assessment 209\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1. Introduction 209\u003c\/p\u003e \u003cp\u003e10.2. Definition of reliability target 209\u003c\/p\u003e \u003cp\u003e10.2.1. Absolute reliability target 209\u003c\/p\u003e \u003cp\u003e10.2.2. Risk target 210\u003c\/p\u003e \u003cp\u003e10.3. Methodology of system reliability study 211\u003c\/p\u003e \u003cp\u003e10.3.1. Overall description 211\u003c\/p\u003e \u003cp\u003e10.3.2. Step 1: system analysis 212\u003c\/p\u003e \u003cp\u003e10.3.3. Step 2: qualitative analysis. 212\u003c\/p\u003e \u003cp\u003e10.3.4. Step 3: quantitative data selection 212\u003c\/p\u003e \u003cp\u003e10.3.5. Step 4: system reliability modeling 214\u003c\/p\u003e \u003cp\u003e10.3.6. Step 5: synthesis 214\u003c\/p\u003e \u003cp\u003e10.4. SIL studies 214\u003c\/p\u003e \u003cp\u003e10.4.1. Introduction 214\u003c\/p\u003e \u003cp\u003e10.4.2. SIL assignment 214\u003c\/p\u003e \u003cp\u003e10.4.3. SIL demonstration 217\u003c\/p\u003e \u003cp\u003e10.5. Description of the case study 217\u003c\/p\u003e \u003cp\u003e10.5.1. Origin of the risk 217\u003c\/p\u003e \u003cp\u003e10.5.2. Description of the standard SIF 219\u003c\/p\u003e \u003cp\u003e10.5.3. Risk assessment 219\u003c\/p\u003e \u003cp\u003e10.6. System analysis 220\u003c\/p\u003e \u003cp\u003e10.6.1. Description of HIPS functioning 220\u003c\/p\u003e \u003cp\u003e10.7. Qualitative analysis 221\u003c\/p\u003e \u003cp\u003e10.7.1. FMEA 221\u003c\/p\u003e \u003cp\u003e10.7.2. CCF analysis 223\u003c\/p\u003e \u003cp\u003e10.8. Quantitative data selection 225\u003c\/p\u003e \u003cp\u003e10.8.1. Selection of reliability data 225\u003c\/p\u003e \u003cp\u003e10.8.2. Collection of proof test data 225\u003c\/p\u003e \u003cp\u003e10.8.3. CCF quantification 226\u003c\/p\u003e \u003cp\u003e10.9. System reliability modeling 226\u003c\/p\u003e \u003cp\u003e10.9.1. Building of system reliability model 226\u003c\/p\u003e \u003cp\u003e10.9.2. System reliability calculation 226\u003c\/p\u003e \u003cp\u003e10.10. Synthesis 232\u003c\/p\u003e \u003cp\u003e10.10.1. Conclusions 232\u003c\/p\u003e \u003cp\u003e10.10.2. Recommendations 233\u003c\/p\u003e \u003cp\u003e10.11. Validity of system reliability assessments 234\u003c\/p\u003e \u003cp\u003e10.11.1. Reports 234\u003c\/p\u003e \u003cp\u003e10.11.2. Conclusions 234\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11. Production Availability Assessment 235\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1. Introduction 235\u003c\/p\u003e \u003cp\u003e11.2. Definition of production availability target 235\u003c\/p\u003e \u003cp\u003e11.2.1. Absolute production availability target 235\u003c\/p\u003e \u003cp\u003e11.2.2. Economic target 235\u003c\/p\u003e \u003cp\u003e11.3. Methodology 236\u003c\/p\u003e \u003cp\u003e11.3.1. Events considered in production availability assessments 236\u003c\/p\u003e \u003cp\u003e11.3.2. Overall description 236\u003c\/p\u003e \u003cp\u003e11.3.3. Step 1: system analysis 238\u003c\/p\u003e \u003cp\u003e11.3.4. Step 2: quantitative data selection 238\u003c\/p\u003e \u003cp\u003e11.3.5. Step 3: production availability assessment 238\u003c\/p\u003e \u003cp\u003e11.3.6. Step 4: synthesis 238\u003c\/p\u003e \u003cp\u003e11.4. System analysis 239\u003c\/p\u003e \u003cp\u003e11.4.1. Determination of system running modes 239\u003c\/p\u003e \u003cp\u003e11.4.2. Item failure analysis 242\u003c\/p\u003e \u003cp\u003e11.5. Quantitative data selection 244\u003c\/p\u003e \u003cp\u003e11.5.1. Selection of reliability data 244\u003c\/p\u003e \u003cp\u003e11.5.2. Collection of operational data 245\u003c\/p\u003e \u003cp\u003e11.6. Production availability assessment 246\u003c\/p\u003e \u003cp\u003e11.6.1. Building of production availability model 246\u003c\/p\u003e \u003cp\u003e11.6.2. Production availability calculations 246\u003c\/p\u003e \u003cp\u003e11.7. Synthesis 248\u003c\/p\u003e \u003cp\u003e11.7.1. Main results 248\u003c\/p\u003e \u003cp\u003e11.7.2. Additional economic parameters 249\u003c\/p\u003e \u003cp\u003e11.7.3. Flared gas 251\u003c\/p\u003e \u003cp\u003e11.7.4. Other results 253\u003c\/p\u003e \u003cp\u003e11.7.5. Recommendations 256\u003c\/p\u003e \u003cp\u003e11.8. Uncertainty on the reliability parameters 256\u003c\/p\u003e \u003cp\u003e11.9. Validity of production availability assessments 257\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12. Management of Production\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAvailability and Reliability 259\u003c\/p\u003e \u003cp\u003e12.1. Introduction 259\u003c\/p\u003e \u003cp\u003e12.2. Principles of dependability management 260\u003c\/p\u003e \u003cp\u003e12.2.1. Dependability property management 260\u003c\/p\u003e \u003cp\u003e12.2.2. Phasing of the management 260\u003c\/p\u003e \u003cp\u003e12.2.3. Lifecycle costing and dependability 261\u003c\/p\u003e \u003cp\u003e12.3. Technical specifications 262\u003c\/p\u003e \u003cp\u003e12.3.1. Contents. 262\u003c\/p\u003e \u003cp\u003e12.3.2. Reliability specification 262\u003c\/p\u003e \u003cp\u003e12.3.3. Production availability specification 263\u003c\/p\u003e \u003cp\u003e12.4. Reliability and production availability program 264\u003c\/p\u003e \u003cp\u003e12.4.1. Contents. 264\u003c\/p\u003e \u003cp\u003e12.4.2. Reliability program 266\u003c\/p\u003e \u003cp\u003e12.4.3. Production availability program 267\u003c\/p\u003e \u003cp\u003e12.5. Validation of system reliability 267\u003c\/p\u003e \u003cp\u003e12.5.1. Reliability data collection 267\u003c\/p\u003e \u003cp\u003e12.5.2. Random failures 268\u003c\/p\u003e \u003cp\u003e12.5.3. Common cause failures 268\u003c\/p\u003e \u003cp\u003e12.6. Validation of production availability 268\u003c\/p\u003e \u003cp\u003e12.6.1. Useful life 268\u003c\/p\u003e \u003cp\u003e12.6.2. Reliability data 269\u003c\/p\u003e \u003cp\u003e12.6.3. Production data 269\u003c\/p\u003e \u003cp\u003e12.6.4. Use of production availability model 269\u003c\/p\u003e \u003cp\u003eAppendices 271\u003c\/p\u003e \u003cp\u003eAppendix 1. Notations and Abbreviations 273\u003c\/p\u003e \u003cp\u003eAppendix 2. Markov Chain 283\u003c\/p\u003e \u003cp\u003eAppendix 3. Comparison of Modeling Methods 293\u003c\/p\u003e \u003cp\u003eAppendix 4. Solutions of Exercises. 301\u003c\/p\u003e \u003cp\u003eBibliography 315\u003c\/p\u003e \u003cp\u003eIndex 323\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mechanical engineering \u0026amp; materials [\u003ca title=\"See our other books on Mechanical engineering \u0026amp; materials\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mechanical%20engineering%20\u0026amp;%20materials%20%5BTG%5D%22\"\u003eTG\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-ISTE","offers":[{"title":"Brand New","offer_id":52446435180824,"sku":"9781786301680","price":100.57,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781786301680.jpg?v=1785111621","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/production-availability-and-reliability-use-in-the-oil-and-gas-industry-hardback-9781786301680","provider":"Freshly Printed Books","version":"1.0","type":"link"}