Asset Management
An asset swap with PDVSA helps consolidate the supermajor’s heavy-oil operations in the country.
Co-owner Chevron confirmed the find at the Bandit prospect offshore Louisiana and suggested it may become a subsea tieback to existing faciltiies operated by Occidental Petroleum.
The multiyear contract with YPF includes electric pumping units and automated stimulation services.
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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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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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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…