Data & Analytics
As managed pressure drilling gains traction, its principles are influencing a wider range of well-construction activities.
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 describes a tool that complements predictive analytics by evaluating top health, safety, and environment risks and recommends risk-management-based assurance intervention. -
Traditionally, the drilling industry has relied on high-fidelity thermal simulators to predict downhole temperature for different operational scenarios. Though accurate, these models are too slow for real-time applications. To overcome this limitation, a deep-learning solution is proposed that enables fast, accurate prediction of downhole temperatures under a wide ran…
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This article explores how the pursuit of a "perfect" reservoir model may be hindering progress in an industry increasingly shaped by data, uncertainty, and AI.
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Almost all rigs, platforms, and vessels have some form of cellular mobile services, fiber, or even microwave transmission. Nevertheless, all these vessels and assets are equipped with satellite connectivity capabilities.
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The company, as part of joint industry projects, has released an updated version of its computational fluid dynamics software that it says will aid in developing technology for the energy transition.
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The companies are joining forces to work on large-scale industrial data collection across TotalEnergies’ operational sites, aiming to use continuous, real-time data collection to optimize performance.
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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.
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The Energy and AI Observatory aims to use up-to-date information on energy demand from data centers to determine how artificial intelligence is optimizing the energy sector.
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The company is making available its data on ocean and weather conditions in an effort to boost transparency and innovation.
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The nonprofit said the satellite likely is unrecoverable but that it will continue to analyze the data it had collected.
