Data & Analytics
Schneider Electric says the deal advances its vision of creating intelligent industrial ecosystems that connect physical assets with digital insights across the asset life cycle.
With the latest addition, the Italian major’s computational capacity passes the exaflop threshold, making the firm the world’s leading company by computing power in the new TOP500 global ranking.
This work describes a study in which distributed data parallel training, paired with a node-local caching pipeline, enabled efficient multigraphics-processing-unit scaling for a CO₂-storage graph-neural-network surrogate while maintaining generalization.
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As drones become a more significant part of energy projects, the guide outlines the steps operators should take in assessing their capabilities to run a drone program and the elements such programs should consider, including safety and regulatory concerns. -
As the global oil and gas industry grasps the benefits that digitalization, automation, machine learning, and artificial intelligence can bring to production and profitability, its relatively immature cyber systems are making it an attractive soft target for hackers.
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Malaysia’s Petronas, Shell Malaysia, and Thailand’s PTTEP are now in the midst of full-scale digital adoption. The companies are beginning to see results, but none is counting on a “big bang” in development of the technology soon.
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This paper presents a unique work flow that addresses in real time the challenges of perforation and fracture-treatment design while accounting for the lithologic and stress variability along the wellbore and its surroundings.
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A thermal asset in Oman is characterized by a large-scale steam-drive/cyclic-steam-soak development project, underpinned by extensive data gathering.
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Norway’s oil and gas major, Equinor, made headlines in October 2018 following its launch of the world’s first fully automated wellhead platform, the Oseberg H. Here, Claudia Jarrett, US country manager of parts supplier EU Automation, explains the challenges of unmanned automation in oil and gas.
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The American Petroleum Institute announced the publication of its Guide for Developing an Unmanned Aircraft Systems Program, which will help ensure worker and operational safety as the industry introduces drones in its operations.
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The algorithms for running AI applications have been so big that they’ve required powerful machines in the cloud and data centers, making many applications less useful on smartphones and other edge devices. Now, that concern is quickly melting away, thanks to a series of recent breakthroughs.
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This paper describes a path to general artificial intelligence (AI) (i.e., AI that is as smart or smarter than humans) based on the trend in machine learning that hand-designed solutions eventually are replaced by more-effective, learned solutions.
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The 21st century oil and gas industry thrives on hardcore computing power, crunching data derived from seismic testing to find oil deep in the ground and below the sea. Now, an Australian company will fire up a digital behemoth in a data center near the Houston suburb.
