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.
-
Backed with the intention of promoting new investments in the oil and gas upstream industry, Indonesia's minister of energy and mineral resources recently enacted a new regulation to replace the 13-year-old regulation on upstream oil and gas data management and use. -
Sensors, robots, and artificial intelligence have made their way into a number of areas within the industry, including pipeline inspections. Shell has begun to examine the innovative technologies that could shift the inspection paradigm.
-
This paper describes a smart management system used for retrieving and evaluating all flow-assurance-related data for more than 700 of the operator’s onshore and offshore wells.
-
Industry 4.0 is the innovation revolution across all industries. For our industry, Production 4.0 presents a massive opportunity to elevate oilfield performance by harnessing an easy-to-reach and plentiful resource—our data.
-
ExxonMobil is expanding its Baton Rouge polyolefins plant in a $500 million investment and tapped King Crow Studios, along with 3D Media and Pixel Dash, for the training effort—a sign of an emerging collaboration in Louisiana between tech-driven startups and the industrial sector.
-
The company used a maintenance optimization plan from Lloyd's Register for the centrifugal pumps and fire and gas detectors on a floating production, storage, and offloading vessel in the Norwegian Sea.
-
Disruption from artificial intelligence (AI) is here, but many company leaders aren’t sure what to expect from AI or how it fits into their business model. Yet, with change coming at breakneck speed, the time to identify your company’s AI strategy is now.
-
One can almost guarantee that every engineer will consistently come into contact with data, no matter the engineer’s focus. Often, the data available to engineers is expansive; yet many are unequipped to handle it. Why then are data scientists not integrated into engineering teams at all levels?
-
Most companies have known for a while that they benefit when the parties that manage their networks cooperate. Beyond benefiting the business, however, this cooperation of open communication between the different sectors can help the people tasked to manage the security of those networks.
-
A slew of data science jargon is flooding the industry, and one impediment to the digital transformation is confusion over associated terminology. The Society of Petroleum Engineers is beginning to make a concerted effort to help demystify the buzzwords, and this article kick starts that effort.
