London, UK -- (SBWIRE) -- 10/19/2022 -- The latest publication from GlobalData Plc titled Predictive Maintenance in Oil and Gas Industry – Thematic Research examines several factors expected to drive the need for predictive maintenance in the oil and gas sector. Predictive maintenance tools will become more widespread across the critical infrastructure in the oil and gas industry, as they offer operational and financial fluidity using technology over the next decade.
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Advances and the emergence of innovative technologies such as IoT, artificial intelligence (AI), augmented and virtual reality (AR/VR), big data, and cloud computing are shaping the predictive maintenance strategies in the oil and gas industry. The base measurement technologies for predictive maintenance, such as vibration monitoring and thermal imaging, have also improved, as a vast amount of data and analytical capabilities are available, owing to the boom in digital transformation projects across the industry. In addition, predictive maintenance strategies will create a greener future. Predictive maintenance can also help improve human resource allocation, thereby increasing productivity.
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Predictive maintenance value chain highlights
Device layer
- Sensors and probes
- Thermal imaging
- Measurement devices/instruments
Connectivity layer
- Edge infrastructure
- Cloud infrastructure
- Networking equipment
- Wireless network
Data layer
- Data storage
- Data processing and analysis
- Business intelligence
Services layer
- System design and integration
- Inspection and maintenance
- Digital twins
App layer
- Apps and platforms
Get Details on Each Value Chain Component at: https://www.globaldata.com/store/talk-to-us/?report=1327448
Key Predictive Maintenance Technologies used in the Oil and Gas Industry
- Vibration monitoring
- Infrared thermography
- Lubricant oil analysis
- Ultrasonic and acoustic emission monitoring
- Virtual inspection
- Motor current analysis
- Ferrography
- Spectrography
- Wear particle analysis
Top Predictive Maintenance Trends in the Oil and Gas Industry
Oil and Gas trends
- Cost pressure
- Streamlining maintenance activities
- Aging infrastructure
- Shortage of skilled workforce
- COVID-19
Technology trends
- Digitization
- Digital twin
- Internet of Things
- Combining multiple technologies
- Data Analytics
- Augmented and virtual reality
- Macroeconomic trends
Macroeconomic trends
- Environmental, social, governance (ESG)
Grab Sample Report Copy for Analysis of Each Trend at: https://www.globaldata.com/store/talk-to-us/?report=1327448
Predictive Maintenance Companies in the Oil and Gas Industry.
Top Companies in the Oil and Gas Industry
- ADNOC
- BP
- Chevron
- Equinor
- ExxonMobil
- Petrobras
- Repsol
- Saudi Aramco
- Shell
- TotalEnergies SE
Top Companies in Oilfield Service Industry
- Aker Solutions
- Baker Hughes – GE
- Halliburton
- National Oilwell Varco
- Schlumberger
- Weatherford International
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Predictive Maintenance Industry Analysis
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 equipment or infrastructure and provides a detailed picture of its expected operating life.
Predictive maintenance in the upstream sector
- Offshore
- Shale
Predictive maintenance in the midstream sector
- Pipelines
- LNG
Predictive maintenance in the downstream sector
- Refineries
About GlobalData
GlobalData is a leading data, analytics, and insights provider in the world's largest industries. As a leading information services company, thousands of clients rely on GlobalData for trusted, timely, and actionable intelligence. Our mission is to help our clientele ranging from professionals within corporations, financial institutions, professional services, and government agencies to decode the future and profit from faster, more informed decisions. Continuously enriching 50+ terabytes of unique data and leveraging the collective expertise of over 2,000 in-house industry analysts, data scientists, and journalists, as well as a global community of industry professionals, we aim to provide decision-makers with timely, actionable insights.
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