Safety
As drilling operations become increasingly digital, computer vision is emerging as a continuous safety layer that complements, not replaces, established safety practices. The challenge is no longer whether artificial intelligence can detect hazards, but how operators should deploy, integrate, and govern these systems to improve safety without adding operational comple…
From AI-enabled walking rigs to subsea drones and autonomous inspection robots, robotics is rapidly moving from pilot projects to field deployment. The technology promises not only greater efficiency but also a fundamental shift in how the industry approaches safety and asset management.
This paper explores how artificial intelligence (AI), cognitive models, and integrated digital tools can transform readiness from periodic drills into a continuous, measurable capability.
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This paper focuses on developing a model that can be used in an automated, end-to-end flare-smoke detection, alert, and distribution-control solution that leverages existing flare closed-circuit television cameras at manufacturing facilities. -
This paper presents a physics-informed machine learning method that enhances the accuracy of pressure transient analysis, predicting reservoir properties to enhance waste slurry injection and waste disposal.
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Through realistic simulations, virtual reality allows for an unprecedented level of immersion and interactivity that traditional training methods cannot offer.
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Researchers with the National Energy Technology Laboratory showed that naturally occurring signals in underground fluids can serve as effective indicators of flow patterns between existing wellbores. Understanding these patterns can lead to increased efficiency and safety.
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This paper explores the integration of human factors engineering principles into rig move planning to enhance safety in the oil and gas industry. It discusses the significance of considering human factors such as fatigue, stress, communication, and decision-making in rig move operations.
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Short on skilled welders? For complex jobs like pressure-vessel seams, automation could be the key to keeping production safe, accurate, and on schedule.
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This paper describes a risk-based self-verification process conducted through a bespoke software application.
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This paper discusses and demonstrates the limitations of quantitative risk assessment (QRA) with respect to the usefulness of the concept in managing day-to-day and emerging risks as well as the effect of change.
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This paper describes a tool that complements predictive analytics by evaluating top health, safety, and environment risks and recommends risk-management-based assurance intervention.
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This paper presents a smart safety monitoring system to prevent accidents in environments with moving machinery at use on various global rigs.
