Data & Analytics
The companies are joining forces to work on large-scale industrial data collection across TotalEnergies’ operational sites, aiming to use continuous, real-time data collection to optimize performance.
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.
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Case studies provide evidence of achievements in corporate sustainability while pursuing the adopted United Nations Sustainable Development Goals, thus highlighting the possibilities made available by digital twin technology.
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The two companies will combine their software efforts to help measure, monitor, and report emissions.
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When it comes to new projects, the technology helps companies try virtually before they buy in to the venture or commission the undertaking, as well as address any design changes or flaws.
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The three companies have signed an agreement for Shell to use SLB software on the Amazon Web Services cloud with work flows using OSDU standards.
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This paper presents the concept of a supervisory and advisory system dedicated to support the detection of abnormal events and to provide guidelines for fluid treatment.
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In this paper, the authors present data analyses to comprehensively evaluate the performance of a steady-state multiphase-flow point model in predicting high-pressure, near-horizontal data from independent experiments.
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The oil and gas industry is embracing digital technology not just as a differentiator but as an enabler of innovation. The simple reality is that, if one doesn’t, they risk being out of the game.
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The oil and gas industry’s sustainability and success depend on its ability to cultivate and nurture a skilled and knowledgeable workforce.
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The three companies signed a Memorandum of Understanding to explore the development of an energy-specific large language model.
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AIQ, ADNOC, and SLB announced a new software suite that integrates artificial intelligence into reservoir analysis and field development projects.