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 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.
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 act aims to create safeguards around general purpose artificial intelligence, limit the use of biometric identification systems by law enforcement, and ban social scoring the untargeted scraping of facial images from CCTV footage to create facial recognition databases. -
More than two dozen artificial intelligence systems are being celebrated for delivering massive value to the national oil company.
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The company says it has used more than 30 AI tools to unlocked significant value across its full value chain.
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Devon Energy along with petroleum engineering consulting and software firm Whitson and cloud computing company Snowflake developed a system to monitor the dynamics of 5,000 wells.
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Early adopters of large language models praise the technology’s promise to advance upstream research and software development while also offering cautionary notes.
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This paper presents an approach using artificial neural networks to predict the discharge pressure of electrical submersible pumps.
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The authors integrated azimuths and intensities recorded by fiber optics and compared them with post-flowback production-allocation and interference testing to identify areas of conductive fractures and offset-well communication.
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Artificial intelligence is increasingly being used to assist in the development of materials, including metal-organic frameworks (MOFs), to advance carbon capture technologies. Researchers assembled more than 120,000 new MOF candidates within 30 minutes.
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This article describes how Oxy developed an in-house application to handle critical production operations tasks including surveillance, optimization, downtime entry, and well testing. The application, called Nexus, allows well analysts and production engineers to manage twice the number of wells they were able to manage just 5 years ago.
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SEG and SPE join forces to offer access to a robust research portal that harnesses the power of AI and ML.
