Data & Analytics
The emerging vision is an industry where engineers focus on judgment, risk assessments, and accountability.
Case studies from Devon Energy, ConocoPhillips, and others show how clever engineering and technology are being used to improve recovery and asset value.
Novel lift systems, AI-driven automation, and real-time engineering models are helping operators extract more value from mature wells.
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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. -
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.
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This paper provides an alternative solution to identifying, classifying, and vertically distributing fractures and a lateral distribution method for reservoir modeling.
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The paper demonstrates the ability of deep-learning generative models to enable new shale-characterization methods.
