Data & Analytics
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.
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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This paper describes a work flow that integrates data analysis, machine learning, and artificial intelligence to unlock the potential of large relative permeability databases. -
The authors of this paper describe a solution using machine-learning techniques to predict sandstone distribution and, to some extent, automate the process of optimizing well placement.
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This paper presents an intelligent tube solution that combines data retrieved by the sensors with the actual resistance of each pipe in the well to allow adjustment of production parameters while ensuring installation safety.
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Diagnostics firm TGT launched its newest acoustic platform that it says broadens flow analysis by adding radial distance to the data collected.
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The Swiss-based company Hydromea announced advances in underwater optical modem technology and development of an underwater monitoring system capable of daily data sweeps remotely.
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The seismic and well data investigation tool integrates work flows to provide a consistent analysis of reservoirs.
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Despite energy companies' enthusiasm for implementing digital technologies in drilling analysis, many predictions still include a high level of uncertainty.
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The startup known for helping introduce Bitcoin mining to the upstream industry is now also offering cloud computing using associated gas.
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Whether inconsistent, incomplete, ambiguous, or just plain wrong, bad data is a big barrier to digital transformation.
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University of Houston researchers develop oil recovery tools with ‘significantly higher accuracy’ than current methods.
