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Energy Business Review | Thursday, March 07, 2024
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EAM systems include maintenance, asset lifecycle, inventory, and work order management. Recently, they have integrated advanced technologies like IoT, AI, and ML for predictive analytics and real-time monitoring.
Fremont, CA: The oil and gas industry faces challenges like volatile market conditions, environmental regulations, and operational efficiency. Companies use enterprise asset management (EAM) solutions to address these. The EAM market was valued in billions, with a compound annual growth rate through 2030. This article explores potential applications of EAM software in the industry.
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Understanding Enterprise Asset Management
Enterprise asset management (EAM) is designed to help organizations manage physical assets, including equipment, machinery, and infrastructure. It provides a holistic view of asset condition, location, and efficiency. EAM systems include maintenance, asset lifecycle, inventory, and work order management. Recently, they have integrated advanced technologies like IoT, AI, and ML for predictive analytics and real-time monitoring.
How EAM Is Driving the Future of Oil and Gas
The evolution of enterprise asset management (EAM) technology is paving the way for new trends that could significantly transform the approach of oil and gas companies to asset performance management.
Integrating EAM and Digital Twins
Digital twins, processes, virtual replicas of physical assets, and systems are gaining popularity in the oil and gas sector. When integrated with EAM, they simulate operational scenarios, anticipate disruptions, enable proactive maintenance planning, improve decision-making, and manage risk while increasing uptime and lifespan.
Using Blockchain in EAM Systems
Blockchain technology offers transparency, security, and traceability to EAM by providing a decentralized record of asset-related transactions, enhancing auditability and reducing fraud risk. Blockchain's use in EAM is a promising trend despite its early stages.
EAM Powered By AI and Machine Learning
AI and ML are revolutionizing EAM systems by enhancing predictive capability by analyzing vast data from asset sensors, enabling more accurate equipment failure predictions and improving asset reliability.
Combining the Features of Augmented Reality with EAM Capabilities
Oil and gas companies can improve maintenance efficiency by integrating augmented reality (AR) with EAM. AR technology overlays digital information into the natural and physical world, enabling technicians to visualize complex procedures and diagnose equipment issues. In breakdown situations, AR glasses provide real-time asset data, step-by-step repair instructions, and remote expert assistance.
The Rise of Mobile EAM Solutions
Mobile technology enhances accessibility for EAM technicians, allowing them to access asset information, metrics, maintenance schedules, and detailed work instructions from their devices, improving productivity and ensuring the team has the most accurate and up-to-date information.
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