Management
Members of the International Energy Agency said they would make available 400 million bbl from emergency reserves amid market disruptions.
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More than 150 researchers will work on the Libra Rocks project, which aims to unlock insights that could improve recovery and reservoir management in one of Brazil’s largest offshore oil fields.
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With the right infrastructure and interoperability, subsea resident robotics could unlock more frequent, cost-effective inspections—and a new standard for offshore efficiency.
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Emerging solutions could solve current subsea pain points, while a new taxonomy system could clarify the capabilities of the expanding domain of underwater vehicles.
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This paper describes a tool that complements predictive analytics by evaluating top health, safety, and environment risks and recommends risk-management-based assurance intervention.
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This paper discusses the journey of the Bonga North project, highlighting challenges and resolution strategies in a constantly changing deepwater environment.
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Big oil companies are backing direct lithium extraction while the market flashes warning signs.
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As LNG projects sanctioned earlier this decade come onstream, a shortage of new final and pre-final investment decisions threatens to leave the project pipelines dry at a time when global LNG demand is forecast to surge over the next 15 years.
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The deal marries Baker’s core competencies in rotating equipment, flow control and digital technology with Chart’s heat transfer, air- and gas- handling, and process technologies expertise.
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Rystad Energy reports that developers are increasingly turning to floating LNG to reduce costs and accelerate project timelines in response to growing gas demand.
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The first of four planned Phase 1 wells is flowing from the region’s second 20k-psi deepwater project.
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Traditionally, the drilling industry has relied on high-fidelity thermal simulators to predict downhole temperature for different operational scenarios. Though accurate, these models are too slow for real-time applications. To overcome this limitation, a deep-learning solution is proposed that enables fast, accurate prediction of downhole temperatures under a wide ran…