Onshore/Offshore Facilities
The Offshore Technology Conference will honor the winners of the 2026 Spotlight on New Technology Award on Monday, 4 May, at NRG Center in Houston. Seventeen groundbreaking innovations, from AI-powered geotechnics and autonomous well construction to next-generation subsea systems and drilling intelligence, demonstrate how bold ideas are translating into real-world gai…
War‑related infrastructure damage is beginning to influence global energy supply chains in ways that could reshape project development and capacity growth.
Sulzer and JSIL are teaming up to provide the service for oil and gas, power generation, and industrial operations.
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TotalEnergies, Global Infrastructure Partners, and NextDecade divvy up Train 4 stakes ahead of an expected FID in September. -
The Japanese company ratcheted up the competitive nature of contracting for a floating production, storage, and offloading vessel and an onshore liquefied natural gas plant for the Abadi project by announcing dual front-end engineering design (FEED) contracts.
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Deepwater Yellowtail project, onstream 4 months ahead of schedule, is expected to produce an average of 250,000 BOPD.
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The collection of undeveloped blocks includes 59 located in Nigeria's deep water.
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Short on skilled welders? For complex jobs like pressure-vessel seams, automation could be the key to keeping production safe, accurate, and on schedule.
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Azule’s new FPSO is the first in the world to feature a pilot carbon capture and storage unit that sequesters CO₂ from onboard gas-turbine exhaust.
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By closely monitoring its subsea boosting system, Shell extended maintenance intervals and safely postponed pump replacement at its ultradeepwater Stones field.
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BP called the Bumerangue discovery in the Santos Basin the company’s largest find in 25 years, and announced it had begun production from its tieback project at Argos ahead of schedule.
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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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This study aims to use machine-learning techniques to predict well logs by analyzing mud-log and logging-while-drilling data.
