Data & Analytics
Working with Dell Technologies and NVIDIA, the French supermajor is targeting improved seismic processing and artificial intelligence applications.
A discussion at the inaugural executive breakfast convened by the SPE Data Science and Engineering Analytics Technical Section, held alongside CERAWeek by S&P Global and powered by Black & Veatch, tackled the challenge of value creation from artificial intelligence in the energy industry.
AI‑driven data center growth is straining US power grids and accelerating interest in enhanced geothermal systems as a scalable, low‑carbon solution.
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Moving away from siloed organization to the co-creation of an IT/business strategy is an important progression in the journey of digital transformation. -
Switching to remote working because of the coronavirus can create cybersecurity problems for employers and employees. Here are some things to watch.
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As industry imposes work from home, health checks, and other severe measures, could digitalization provide relief?
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The chip is less than 4.5 mm across and weighs less than 2 oz. Nonetheless, it is pushing the power of artificial intelligence to the edge.
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MIT Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.
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Industries have gone a long way in the implementation of digital and intelligent technologies and have already realized numerous benefits. However, leaders realize that the full value of any transformation is unlikely to be achieved by implementing strategies of the past.
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The companies have signed a memorandum of understanding on digital collaboration to develop solutions and methods together through the exchange of expertise in areas such as data science, artificial intelligence, and 3D printing.
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Production monitoring requires heightened degrees of precision and efficiency as operations are streamlined and projects are evaluated continuously. This month’s feature focuses on innovative technologies that have been implemented in environments ranging from the Gulf of Mexico to China.
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This paper describes a virtual metering tool that can monitor well performance and estimate production rates using real-time data and analytical models, integrating commercial software with an optimization algorithm that combines production and reservoir information.
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This paper discusses the effectiveness of third-generation (Gen3) production-logging-tool (PLT) technology, which uses co-located digital sensors for simultaneous acquisition of flow data to provide the most accurate characterization of the flow condition at each depth surveyed.
