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 paper presents a novel reservoir engineering/reservoir simulation approach—a data-driven interwell-connectivity model augmented as a digital twin—to predict reservoir dynamics and optimize operations in the Changqing oil field of China.
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The kingdom and the oil and gas industry have been slow to shore up defenses, raising red flags about the possibility of longer-term fallout in the region, experts said, including those who have responded to incidents in the region. -
Ten big names in the oil and gas business created a group to try out ways to use blockchain in the oil business, and test if the record keeping and automatic data collection software can track water shipments more efficiently.
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Whether thinking about managing oil and gas or other infrastructure facilities or considering industrial efficiency, you may be pondering how the Internet of things can be used. Forward-thinking strategies include not just staying on top of regulatory changes but also influencing them.
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Saudi Aramco, BP, and Schlumberger pride themselves on staying at the forefront of digital technology development and deployment. But an equally daunting challenge for the industry heavyweights is keeping their ever-expanding digital systems secure.
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The artificial-intelligence application BHC3 Reliability provides early warning of production downtime and process risk to improve operational productivity, efficiency, and safety.
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The company has released new technology for cloud data lakes. Can the company take data in relatively slow cloud object storage and make queries against it faster?
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Technology startups are breathing new life into an old industry with advanced software and emerging chemistry solutions. Learn about some of the names earning the most attention from the industry's venture capital groups.
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Using machine learning (ML), image recognition, and object detection, the use of ML on algorithms to recognize objects and describe their condition were investigated—offering new possibilities for performing inspection and data gathering to evaluate the technical condition of oil and gas assets.
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The combination of digital technologies will enable Chevron—and, eventually, other companies—to process, visualize, interpret, and glean insights from multiple data sources, the companies said.
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The planned collaboration is expected to provide analytics-ready data from IHS Markit that would be directly accessible from the GAIA platform.
