Predictive Maintenance in Oil and Gas Industry - Thematic Research

Predictive Maintenance in Oil and Gas Industry - Thematic Research

Summary

Predictive maintenance is an important part of asset management strategies that are employed in every industry as it helps maximize the operational life of equipment and infrastructure. It uses an innovative data-driven approach to assess the state of the field equipment or infrastructure and provides a detailed picture of its expected operating life. This enables decision-makers to schedule maintenance activities without affecting normal functioning. These insights can also be utilized to determine whether any machinery or infrastructure requires a substantial overhaul.

Scope

  • Overview of the evolution of predictive maintenance as a theme and key technologies employed.
  • Review of application of predictive maintenance strategies in oil and gas industry.
  • Detailed analysis of the predictive maintenance value chain, its role within the oil and gas value chain, and corresponding participation of leading players.
  • Highlighting of the various industry, technology, and macroeconomic trends influencing the predictive maintenance theme.
  • Assessment of the strategies and initiatives adopted by oil and gas companies to gain a competitive advantage in this theme.
Reasons to Buy
  • Identify the key industry, technology, and macroeconomic trends impacting the predictive maintenance theme.
  • Deployment of predictive maintenance strategies in oil and gas industry.
  • Understand the predictive maintenance value chain and the key players in it.
  • Identify and benchmark key oil and gas players and oilfield services companies based on their competitive positioning in the predictive maintenance theme.



  • Executive Summary
  • Players
    • Table Figure 1: Who are the leading players in predictive maintenance in the oil and gas sector?
  • Tech Briefing
    • Evolution of maintenance: from reactive to proactive
      • Table Figure 2: Evolution of maintenance strategies in the oil and gas industry
      • Reactive approach
      • Preventive approach
      • Condition-based approach
      • Predictive approach
        • Table Figure 3: Predictive maintenance through digitalization
      • Prescriptive approach
    • Predictive maintenance technologies in the oil and gas industry
      • Vibration monitoring
        • Table Figure 4: Vibration monitoring
      • Infrared thermography
        • Table Figure 5: Infrared thermography
      • Lubricant oil analysis
        • Table Figure 6: Lubricant oil analysis
      • Ultrasonic and acoustic emission monitoring
        • Table Figure 7: Ultrasonic testing
    • Setting up a predictive maintenance system
    • Importance of predictive maintenance for aging infrastructure
  • Trends
    • Oil and gas trends
      • Table Oil and gas trends
    • Technology trends
      • Table Technology trends
    • Macroeconomic trends
      • Table Macroeconomic trends
  • Industry Analysis
    • Profits and technology driving predictive maintenance adoption
    • Predictive maintenance in the upstream sector
      • Table Figure 8: DOF ASA is the leading maintenance contractor in the upstream sector
      • Offshore
        • Table Figure 9: Emerson provides predictive
      • Shale
    • Predictive maintenance in the midstream sector
      • Table Figure 10: Europe and North America regions led the midstream maintenance contracts
      • Pipelines
        • Table Figure 11: GAIL contracted Siemens to equip gas
      • LNG
    • Predictive maintenance in the downstream sector
      • Table Figure 12: Asia occupied about 60% of the downstream maintenance contracts
      • Refineries
    • M&A activities
      • Table M&A activities
    • Timeline
      • Table Figure 13: The story so far….
  • Value Chain
    • Table Figure 14: Interaction of predictive maintenance technologies with the oil and gas value chain
    • Table Figure 15: Predictive maintenance value chain
    • Device layer
      • Table Figure 16: Predictive maintenance value chain: Device layer
      • Sensors and probes
      • Thermal imaging
      • Measurement devices and instruments
    • Connectivity layer
      • Table Figure 17: Predictive maintenance value chain: Connectivity layer
      • Edge and cloud infrastructure
      • Networking equipment
      • Wireless network
    • Data layer
      • Table Figure 18: Predictive maintenance value chain: Data layer
      • Data storage
      • Data processing and analysis
      • Business intelligence
    • Services layer
      • Table Figure 19: Predictive maintenance value chain: Services layer
      • System design and integration
      • Inspection and maintenance
      • Digital twins
    • App layer
      • Table Figure 20: Predictive maintenance value chain: App layer
  • Companies
    • Oil and gas companies
      • Table Oil and gas companies
    • Oilfield services companies
      • Table Oilfield services companies
  • Sector Scorecards
    • Industrial automation sector scorecard
      • Who's who
        • Table Figure 21: Who does what in the industrial automation space?
      • Thematic screen
        • Table Figure 22: Thematic screen - Industrial automation sector scorecard
      • Valuation screen
        • Table Figure 23: Valuation screen - Industrial automation sector scorecard
    • Integrated oil and gas sector scorecard
      • Who's who
        • Table Figure 24: Who does what in the integrated oil & gas companies' space?
      • Thematic screen
        • Table Figure 25: Thematic screen - Integrated oil and gas sector scorecard
      • Valuation screen
        • Table Figure 26: Valuation screen - Integrated oil and gas sector scorecard
  • Glossary
    • Table Glossary
  • Our thematic research methodology
    • Table Figure 27: Our five-step approach for generating a sector scorecard
  • About GlobalData
  • Contact Us

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