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Enhance predictive maintenance with generative AI agents on AWS

AWS: Energy (Oil & Gas)

In today’s complex industrial environments, predictive maintenance remains a key challenge for Energy, Utilities, and Manufacturing sectors. This post outlines an agentic solution for predictive maintenance using generative AI agents. Then, the agent receives a list of content chunks from the relevant maintenance manuals.

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Oil Review Middle East - Untitled Article

Oil Review Middle East

Engineered with direct customer input, test data indicates the seal reduces nitrogen consumption by up to 80% compared to conventional radial separation seals, delivering significant efficiency and sustainability benefits. If separation gas is lost, the seal maintains non-contacting operation and oil control.

Dry Gas 52
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AI in Oil and Gas – A Game-Changer for Efficiency and Profitability

Aresco

From predictive maintenance to real-time data analytics, AI solutions are revolutionizing how oil and gas companies operate, analyze vast amounts of data, and reduce risk across the board. AI-powered predictive maintenance analyzes vast amounts of operational data in real time to detect early warning signs of potential failures.

Gas 95
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HOW AI AND DIGITALIZATION ARE CHANGING WORKPLACE SAFETY IN NIGERIA

Nestoil

This years theme: “Revolutionizing Health and Safety; The Role of AI and Digitalization at Work”, challenges us to rethink how we protect lives on the job, especially those of us in the energy and engineering sectors. Today, safety is no longer just about protective gear and safety drills.

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Understanding the Technical Aspects of Vapor Recovery Units

Pro-Gas Services

Technical Overview of Vapor Recovery Units VRUs are engineered systems designed to capture and recover hydrocarbon vapors that would otherwise be released into the atmosphere. Proper sizing and maintenance of the compressor is vital to ensure peak performance. Proper maintenance and inspection of these safety mechanisms is vital.

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How TCS’s Intelligent Power Plant solution on AWS helps utilities optimize operations and drive energy transition

AWS: Energy (Oil & Gas)

ML operations: Trained ML models are deployed to TCS InTwin online (runtime analytics engine) running on Amazon Elastic Container Service (Amazon ECS) for real-time inference and predictions. This predictive approach optimizes maintenance costs while extending equipment lifecycle and minimizing unplanned downtime.

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FOULING IN HEAT EXCHANGERS

Scambio Termico

degree in Chemical Engineering from The State University of New York at Buffalo, and brings over 25 years experience in specifying, calculating and troubleshooting heat exchangers in the food, beverage and dairy market. Melissa received her B.S.