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Gas and Oil Reliability Engineering
Modeling and Analysis
- 1st Edition - September 26, 2012
- Author: Eduardo Calixto
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 3 9 1 9 1 4 - 4
- eBook ISBN:9 7 8 - 0 - 1 2 - 3 9 1 9 1 5 - 1
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… Read more
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Request a sales quoteThe 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.
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
Petroleum Production Engineers, Oil Rig Supervisors, Process Safety Engineers, and Chemical Engineers
DedicationPrefaceAcknowledgments1. Life Cycle Analysis1.1 Quantitative Failure data Analysis1.2 Probability Density Functions1.3 How to define PDF parameters and choose which PDF fits better with the failure data1.4 How Reliable is the Reliability: The Confidence bound will tell youReferences2. Accelerated Test and Reliability Growth Analysis Models2.1 Introduction2.2 Quantitative Accelerated Tests2.3 Qualitative Accelerated Tests (HALT and HASS)2.4 Reliability growth AnalysisReferences3. Reliability and Maintenance3.1 Introduction to Failure Mode Effects Analysis3.2 Reliability Centered on Maintenance3.3 Risk-Based Inspection3.4 ReBI3.5 RGBI Analysis3.6 ORT AnalysisReferences4. Reliability, Availability, and Maintainability Analysis4.1 Introduction to RAM Analysis4.2 Modeling and Simulation4.3 Sensitivity Analysis: Redundancy Policies, Maintenance Plans, Stock Policies, and Logistics4.4 Improvement Allocation Based on Availability4.5 Case StudiesReferences5. Human Reliability Analysis5.1 Introduction5.2 Technique for Human error Rate Prediction5.3 Operator Action Tree5.4 Accident Sequence Evaluation program5.5 Human Error Assessment Reduction Technique5.6 Social Technical analysis of human reliability5.7 Standardized Plant Analysis Risk—Human Reliability5.8 Bayesian Networks5.9 Case StudyReferences6. Reliability and Safety Processes6.1 Introduction6.2 Fault Tree Analysis6.3 Event Tree Analysis6.4 Layers of Protection Analysis6.5 Safety Integrity Level Analysis6.6 Bow Tie Analysis6.7 Case Study 1: Applying Lopa Analysis to Decide whether Risk is Acceptable When Layers of Protection are Not Available6.8 Case study 2: Using RAMS analysis methodology to measure safety process effects on system availability References7. Reliability Management7.1 Reliability Management Over the Enterprise Life Cycle7.2 Reliability Management Success Factors7.3 Successful Reliability Engineering Implementation Case Study7.4 Successful Organization in Reliability Engineer Implementation7.5 Reliability Engineer Teaching and Research: Successful Universities and Research Center Cases7.6 Final ThoughtsReferencesIndex
- No. of pages: 544
- Language: English
- Edition: 1
- Published: September 26, 2012
- Imprint: Gulf Professional Publishing
- Hardback ISBN: 9780123919144
- eBook ISBN: 9780123919151
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Eduardo Calixto
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.
Affiliations and expertise
RAMS Expert, Philotech GmbH, GermanyRead Gas and Oil Reliability Engineering on ScienceDirect