Data & Analytics
The emerging vision is an industry where engineers focus on judgment, risk assessments, and accountability.
Novel lift systems, AI-driven automation, and real-time engineering models are helping operators extract more value from mature wells.
This case study from Tomax outlines the use of artificial intelligence to analyze high-fidelity data of the full drilling process.
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Satellites provide an invaluable, bird's-eye view of planet Earth. But how—and how quickly—will the data materialize into meaningful actions? -
Cube drilling was an exciting idea several years ago. Since then, the luster seems to have faded. Now, production software company Novi Labs says machine learning may bring life back to the concept.
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Open Energi’s technology optimizes the energy use of low-carbon assets, including battery storage, hydrogen electrolyzers, and solar farms, connecting the assets to power markets and giving traders access to real-time data. The goal is to provide flexibility at times of low renewable-energy generation and during price peaks.
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The FBI also released a security advisory and details regarding 23 attacks on oil and gas companies from December 2011 to 2013.
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A 2020 cyberattack resulted in the theft of 1 terabyte of information from the oil giant.
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Although quantum computing, or quantum processing, has still not become a reality in the oil and gas industry, it will prove disruptive according to an executive of a Brazilian player.
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An EU-backed wind foundation design project revealed that predictive digital twin technology can reduce the steel weight and associated costs of offshore foundations.
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The oil and gas industry can benefit from the operational insights that IT/OT convergence provides. Predictive maintenance, in particular, helps improve safety and control costs.
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Halliburton supplies the sensing and analytics technology, and TechnipFMC provides the necessary connections. The combination, which won a Spotlight on New Technology Award, will be used by ExxonMobil in Guyana.
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Four CEOs describe what goes into turning a world of data into a data-driven world.
