Data & Analytics
Switching from continuous circulation to cyclic huff-‘n’-puff operation in enhanced geothermal systems can significantly delay thermal breakthrough, sustain higher production temperatures, and improve long-term economic performance.
The two companies say they plan to work together to use agentic AI to increase the capabilities of technical experts.
This article is the first in a Q&A series from the SPE Methane Emissions Management Technical Section (MEMTS) on methane intelligence and how oil and gas teams translate emissions data into credible decisions and measurable reductions.
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The authors present a review of the capabilities of fog computing and its potential in the petroleum industry. -
The machine-learning techniques applied aim to deliver a prediction model based on both simulation and real-time field data. The model tracks and monitors system key performance indicators.
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Artificial intelligence and machine learning are gaining acceptance quickly in the oil and gas industry. This article presents key industry applications for these technologies as well as the critical role private cellular networks play in leveraging them successfully.
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The oil and gas firm has decided to use Curate, Ikon’s scalable cloud-enabled subsurface-data-management software.
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SponsoredAI can improve your compliance efforts, saving you time and money. Learn how.
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This paper presents a review of virtual reality (VR) in the oil and gas industry through the development of prototypes. The objective was to establish a learning experience and knowledge about VR’s main features, hardware, software, and applications; evaluate the capabilities of various VR solutions in the context of field operator and maintenance training; and develo…
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During transfer learning, the knowledge gained and rapid progress made from a source task is used to improve the learning and development to a new target task.
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Software company FutureOn and consulting firm Wood are working together on an enhanced digital service for asset operators.
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The authors present an artificial-intelligence and machine-learning technology to obtain a high-level, comprehensive view of all equipment in a facility to detect and map corrosion.
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It appears to be possible to sense how fractures change during production using ultrasensitive fiber-optic strain measurements.
