Onshore/Offshore Facilities
The events will be co-located 3–5 May 2027 at Reliant Park in Houston, Texas.
The supermajor said the fields are not expected to contribute meaningfully to its production profile by 2030.
The US federal government is working to stymie offshore wind power, but proponents aren’t going quietly. Armed with data, they are taking on a sea of misinformation and hostility to defend the burgeoning resource in the US, while the rest of the world moves ahead briskly.
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The proposed Russian LNG project would sell LNG to Asia by 2025. It is the latest in a handful of LNG projects slated for Russia. -
Despite streams of data being available on platforms about the condition of topside and drilling equipment, most experts agree that only a small fraction of such data is used. Whether for a fleet or single platform, AI can transform an offshore enterprise.
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The LNG market remains a mixed bag heading into Q2. Port Arthur LNG is just the latest to see a delayed FID, while other LNG projects are still moving ahead.
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Historically, natural gas contract prices were tied to the price of crude; now, volatility and growth in spot-market liquidity signal a shift from long-term linking toward a more integrated market.
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The A-frame is DNV certified. TechnipFMC’s ROVs will deploy in GoM later this year.
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Researchers use novel methodology to measure the thermo-electric properties of native crude.
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Prophets of doom have argued that there will be no cyclical upturn this time, that conventional offshore oil and gas developments, with the odd exception, have been squeezed out of the cost curve by the rise of tight oil. Yet there are signs of recovery that might breathe life back into the sector.
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This paper presents a fatigue-prediction methodology designed to extend the life of unbonded flexible risers and improve the accuracy of floating production, storage, and offloading vessel response analysis.
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The single independent riser (SIR) is a hybrid riser configuration optimized for ultradeepwater field development. The SIR is composed of a flexible jumper and a rigid part vertically tensioned by means of distributed or continuous buoyancy.
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This paper describes an automated work flow that uses sensor data and machine-learning (ML) algorithms to predict and identify root causes of impending and unplanned shutdown events and provide actionable insights.
