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Enhance predictive maintenance with generative AI agents on AWS

AWS: Energy (Oil & Gas)

McKinsey estimates mid-size refineries lose $20–50 million annually due to reliability issues. In this scenario, we have a variety of electric motors in the field, sending sensor readings. Sensor data arrives in JSON format, including a motor ID field. Please investigate urgently. Please investigate urgently.

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Libya Pipeline Back Online After Repairs

Mees

An oil leak in late May had forced the shutdown of the 385km pipeline connecting subsidiary Agoco’s 10,000 b/d Hamada fields on the Ghadames Block NC-8A in the west of the country to the 120,000 b/d Zawiya refinery ( MEES, 30 May ).

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One Hundred Octopi and Counting: Lessons in Online Solids Management

Permian Basin Oil and Gas Magazine

How the development, validation, and large-scale deployment of online solids management systems is saving operators money by releasing flowback equipment sooner, minimizing equipment damage due to solids carry-over, and reducing the need for shutdowns and confined space entry cleanout operations.

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

Aresco

By continuously monitoring machinery performance, AI enables companies to address maintenance issues before they escalate, preventing costly shutdowns and enhancing overall safety. AI models analyze real-time data from drilling sites, pipelines, and refineries, adjusting operations to optimize production and efficiency.

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