| Description |
1 online resource |
| Contents |
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 |
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Mixed Weibull Probability Density Function1.2.8 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 |
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1.5.2 screw compressor lifetime data analysis case1.5.3 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 |
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2.2.5 thermal-nonthermal stress model2.2.6 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 |
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3.1.1 FMEA INTRODUCTIONDesign 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 |
| Summary |
The advent of reliability engineering tools coupled with the cost of oil and gas operations has changed the paradigm of maintenance technology. A simple strategy of efficient replacement of failed equipment/component has been transformed into a more complex but proactive approach for keeping equipment running at peak efficiency concept of "total process" reliability engineering and maintenance. Applied Oil and Gas Reliability Engineering: Modeling and Analysis is the first book to apply reliability value improvement practices and process enterprises lifecycle analysis to the Oil and gas Industry. With this book in hand, engineers also gain a powerful guide to the most commonly used software modeling tools which aid in the planning and execution of an effective maintenance program. Easy to understand, the book identifies equipment and procedural problems inherent to oil and gas operations then applied a systematic approach for solving them. In this book, the author combines qualitative and quantitative methods with powerful software modeling tools to assist engineers in formulating a custom maintenance policy which will ensure process efficiency, reduce projects cost, reduce redundancies and optimum equipment replacement time. Mathematic methods for analyzing failure historical data Instruction for utilizing modeling systems such as MAROS, TARO, and BLOCKSIM and interpret results. Step by Step approach for formulating an cost effective maintenance program Identifies equipment and procedural problems inherent to oil and gas operations Easily understood methods and software tools that will save time and money Provides a tutorial for using the most used software programs such as: MAROS, TARO, and BLOCKSIM Step by step instruction to create a custom maintenance policy Reduce project cost, reduce redundancies and optimize equipment life |
| Notes |
Includes index |
| Bibliography |
Includes bibliographical references at the end of each chapters and index |
| Notes |
Online resource; title from PDF title page (ScienceDirect, viewed May 19, 2016) |
| Subject |
Oil wells -- Equipment and supplies -- Reliability
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Gas wells -- Equipment and supplies -- Reliability
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Petroleum engineering -- Equipment and supplies -- Reliability
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TECHNOLOGY & ENGINEERING -- Mining.
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| Form |
Electronic book
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| ISBN |
9780128111734 |
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0128111739 |
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0128054271 |
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9780128054277 |
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