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On the process of maintenance decision-making in the offshore operational environment of the oil and gas industry

a systems approachBy Mario Marcondes Machado

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Length4h 39m

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The overall objective of this research is to develop a decision support framework for preventive maintenance program implementations in the offshore operational environment of the oil and gas industry. The author investigates the problems surrounding the maintenance decision-making process, which elements are systematically identified and categorized, including organizational aspects. The interface with operations is considered in order to promote integration between maintenance and production schedules. The research subjacent objectives have been to identify, among major oil and gas offshore operators, the state-of-practices regarding the maintenance decision-making process and identify, in the literature, the main techniques used for maintenance decisions and optimization in order to propose alternatives for supporting future implementations. Through a Systems Engineering approach, assisted by a literature review, interviews with experts (in Norway and in Brazil), an on-line survey and case studies, the results of this research complement a toolkit for maintenance engineers and managers aiming to facilitate information sharing and interdisciplinary cooperation in the operational environment. Among the results: A concept map for the maintenance decision-making process ontology; A plan for PM program implementations; The suggested cross-sector solution: the minimum equipment list; A Markovian dependability nomogram; and A Markov decision model application.

Artificial Intelligence

Audiobook details

GenreScience and Nature

Length4 hrs 39 mins

Narrated byListen with 1,000+ voices

FormateBook with Audio

Publish dateJul 8, 2022

LanguageEnglish

1Introduction

334.1.2 FINDINGS FROM CASE I

21. INTRODUCTION

344.2 CASE II – A LEAN PRODUCTION APPROACH

31.1 PROBLEM BACKGROUND

354.2.1 DESCRIPTION OF CASE II

41.2 PROBLEM FORMULATION

364.2.2 FINDINGS FROM CASE II

52. RESEARCH PLAN

374.3 CASE III – AN ASSET MANAGEMENT DIAGNOSTIC: 4.3.1 FINDINGS FROM CASE III

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63. STATE-OF-THE-KNOWLEDGE

384.4 INTERVIEWS AND SURVEY

73.1 SYSTEMS ENGINEERING

394.4.1 ROLES AND RESPONSIBILITIES

83.1.1 THE SPADE METHODOLOGY

404.4.2 MATURITY OF THE CM&amp;D RELATED PROCESSES

93.1.2 THE HEILMEIER’S CATECHISM

414.4.3 DECISION-MAKING AND LEARNING

103.1.3 MEASURES OF EFFECTIVENESS

424.4.4 KEY PERFORMANCE INDICATORS

113.1.4 STAKEHOLDERS’ ROLES, INTERESTS AND RESPONSIBILITIES

434.5 DIAGNOSTICS SUMMARY

123.1.5 OPERATION AND MAINTENANCE PROCESSES FROM A SE PERSPECTIVE

444.5.1 FACTORS AFFECTING PREVENTION

133.1.6 MAINTENANCE ENABLING SYSTEMS

454.5.2 FACTORS AGAINST DECISION ANALYSIS

143.2 DECISION ANALYSIS

464.5.3 FACTORS AGAINST MODELLING

153.2.1 THE INFLUENCE DIAGRAM

474.5.4 BARRIERS ENCOUNTERED AND RECOMMENDATIONS

163.2.2 THE DECISION TREE

485 MAIN RESULTS AND PROPOSALS

173.3 MAINTENANCE

495.1 A CONCEPT MAP FOR MAINTENANCE DECISIONS

183.3.1 MAINTENANCE AGENTS, THEIR ROLES AND RESPONSIBILITIES

505.2 A PLAN FOR PM PROGRAM IMPLEMENTATIONS

193.3.2 MAINTENANCE STRATEGY DEVELOPMENT

515.3 MINIMUM EQUIPMENT LIST: A POLICY AND PROCEDURES MANUAL

203.3.3 MAINTENANCE DECISIONS

525.4 A MARKOVIAN NOMOGRAM FOR SYSTEM DEPENDABILITY

213.3.4 RELIABILITY CENTERED MAINTENANCE

535.5 APPLYING THE MARKOV DECISION PROCESS

223.3.5 TOTAL PRODUCTIVE MAINTENANCE

545.5.1 MOTIVATION

233.3.6 CONDITION-BASED MAINTENANCE

555.5.2 PROBLEM STATEMENT

243.3.7 CONDITION MONITORING AND DIAGNOSTICS OF MACHINES: 3.3.7.1 DEGRADATION MODELS AND THE BATHTUB CURVE

565.5.3 THE MDP MODEL DEVELOPMENT

253.3.8 MAINTENANCE TRADE-OFFS AND OPTIMIZATION ASPECTS

575.5.3.1 TRANSITION PROBABILITIES

263.4 THE MARKOV ANALYSIS

585.5.3.2 DECISION RULES AND REWARDS

273.4.1 THE BASICS OF MARKOV CHAIN

595.5.4 APPLICATION RESULTS

283.4.2 THE MARKOV DECISION PROCESS

606. FINAL CONSIDERATIONS

293.4.3 MDP APPROACHES ON MAINTENANCE OPTIMIZATION

61APPENDIX A – LIST OF PUBLICATIONS

304. FIELD RESEARCH

62APPENDIX B – FIELD RESEARCH INSTRUMENTS

314.1 CASE I – A REMAINING USEFUL LIFE APPROACH

63APPENDIX C – A DEPENDABILITY NOMOGRAM

324.1.1 DESCRIPTION OF CASE I

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On the process of maintenance decision-making in the offshore operational environment of the oil and gas industry

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