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 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.
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This paper describes a method to determine rig state from camera footage using machine-learning-based vision-analytics approaches.
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This third installment of the Digital Data Acquisition Technology Focus will focus on computer vision for improved data acquisition. Computer vision is defined as a field of study that seeks to develop techniques to help computers “see” and understand the content of digital images such as photographs and videos.
