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 case study describes how edge computing and industrial internet of things platforms were deployed to automate and optimize production operations across four distinct basins.
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A computer scientist with the US Federal Bureau of Investigation says that oil and gas companies must do more to protect themselves from cyberattacks. -
Intel and Cyberhawk released a case study outlining the successful inspection of a gas terminal near the coast of Scotland using commercially available drone technology.
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Energy is overtaking banking and finance as a target for cybercriminals in the Middle East, yet companies in the sector are leaving themselves significantly more open to a successful attack, leading international experts have told the Security in Energy conference in Abu Dhabi.
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With only about 3% of data from industrial assets used for decision making or meaningful purpose, vessel, rig, and fleet owners are looking at ways to connect existing networks and assets to achieve optimized operational performance.
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How can AI systems incorporate processes mimicking the slower logic- and causality-based reasoning patterns of the left brain?
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R&D may be the key to the survival of companies as the new economics of the industry take hold.
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Unlike continuous gas injection and water-alternating-gas injection, gas-assisted gravity drainage (GAGD) takes advantage of the natural segregation of reservoir fluids to provide gravity-stable oil displacement.
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This paper presents a method to compare the distribution of hypothesized and realized risks to oil wells described in two data sets that contain free-text descriptions of risks.
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This study shows that dimensionless numbers, together with data-mining techniques, can predict field behavior in terms of recovery factor for sparse data sets.
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Making money on drilling innovation requires finding a technology that solves a significant problem, executing a good plan, and getting out while still ahead.
