Data & Analytics
This paper presents a smart safety monitoring system to prevent accidents in environments with moving machinery at use on various global rigs.
The Energy and AI Observatory aims to use up-to-date information on energy demand from data centers to determine how artificial intelligence is optimizing the energy sector.
The company is making available its data on ocean and weather conditions in an effort to boost transparency and innovation.
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Liberty will be integrating Seismos’ measurements-while-fracturing system into its completions service to analyze near-wellbore fracture networks and create a near-field connectivity index. -
SponsoredHow is the evolution of cloud technology advancing data management in the upstream industry? How can a Software-as-a-Service (SaaS) approach empower operators to extract more value from their data? Read about the latest developments in a new white paper.
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As technology advances in the oil and gas sector, so does cybersecurity risk. To stay secure, companies should blend cybersecurity into their safety conversations, said expert Nicholas Andersen at the 2022 Offshore Technology Conference.
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Cryptocurrency is not the only game in town when it comes to using natural gas at the wellhead to reduce flaring. There are self-driving cars, the coming “metaverse,” language processing, chat bots, and more, all of which require advanced computing and a lot of energy. The demand is driving an expansion of services for Crusoe Energy.
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Technology continues to transform every aspect of our lives and its role in modernizing oilfield operations is no different.
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The perception of the petroleum industry is not currently a good one. So, if that sentiment can be measured, can it be improved? The SPE Sustainable Development Technical Section believes it can by SPE members thinking like activists yet acting like engineers. Data collection and analysis are key to determining what really matters.
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The paper describes the experience of using a machine-learning model prepared by the ensemble method to prevent stuck-pipe events during well construction in extended-reach wells.
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Capitalizing on technology that originated with NASA delivers savings on directional drilling operations.
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This paper presents a screenout-classification system based on Gaussian hidden Markov models that predicts screenouts and provides early warning.
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The certification course, run by SeaBot XR, focused on critical topics such as mission analysis, situational awareness, cybersecurity, and resource management.
