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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This paper highlights the results of a test campaign for a tool designed to predict the short-term trends of energy-efficiency indices and optimal management of a production plant. -
The author argues that the advent of cloud technology should not be regarded as a further challenge to security but an opportunity to revitalize and improve a company’s defenses dramatically.
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The value of hidden-danger data stored in text can be revealed through an approach that can help sort and interpret information in an ordered way not used previously in safety management.
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Recently, AI researchers from Microsoft open-sourced the Decentralized & Collaborative AI on Blockchain project that enables the implementation of decentralized machine-learning models based on blockchain technologies.
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Cybersecurity firm Dragos has identified a new threat to the oil and gas industry, HEXANE. The company has also released a report assessing the cybersecurity environment in oil and gas.
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Often, I receive questions from colleagues asking for tips on data science and machine learning as applied to petroleum engineering. This column address some of those questions I have collected. Here is my advice on becoming a petroleum engineer and a data science wizard.
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Concern has been growing in the oil and gas industry about the high frequency of mooring line failures. While physical tension sensors can be difficult and costly to maintain, machine learning has shown to be a more-accurate and less-costly method for structural integrity assessment.
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Digital is replacing manual at Sanchez Oil & Gas. Since its implementation in 2017, the company’s Production Maintenance Tracker application has been transforming its operations management by bringing together all the assets, departments, and routes into one hub.
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Photogrammetry—stitching together images to create photorealistic 3D models—can be part of a larger industrial digitalization strategy that aims to liberate data from its silos, connect it to other relevant information, and make it available to the workers who need it.
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The era of Big Data is coming to an end as the focus shifts from how we collect data to processing that data in real-time. Big Data is now a business asset supporting the next eras of multicloud support, machine learning, and real-time analytics.
