Onshore/Offshore Facilities
The planned facility was designed to process 34 MMcf/D of associated gas into fully refined gasoline.
The awards build on Tenaris’ role in earlier phases of the ultradeepwater Black Sea project.
Suspended by force majeure since the spring of 2021, work on the Mozambique LNG project has restarted with over 4,000 workers now engaged onshore and offshore to meet a 2029 deadline for first LNG.
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After producing for 43 years, the Statfjord A platform will cease production in 2022. -
Driftwood is authorized to export up to 3.88 Bcf/D, and Port Arthur gets go-ahead for 1.91 Bcf/D of natural gas as LNG.
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An EIA report shows natural gas exports reaching 4.6 Bcf/D in February, the 13th consecutive month in which the country's natural gas exports exceeded its imports. Exports are projected to reach 7.5 Bcf/D by 2020.
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Virtual metering technology has been in use for years as a cost-effective means of monitoring production, but what else can it do? How reliable is it as a backup to physical multiphase meters?
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This paper demonstrates a new way to create gas-tight seals during well abandonment, overcoming the limitations of traditional methods and reducing the operator’s liability and potential environmental impact after decommissioning has been completed.
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Could 2019 be a bumper year for offshore energy development?
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Natural gas, often hailed as the bridge to an energy future that will include greater demand for alternative energy supplies, may be poised to overtake oil as the globe’s primary fuel source in the next decade.
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Deepwater capital expenditure has nosedived since the oil-price crash of 2014 and has not quite recovered because of the high level of break-even prices required, but some oil companies maintained their interest in the sector and went ahead with big-ticket projects anyway.
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Ashtead Technology has acquired Louisiana-based subsea equipment rental and cutting services specialist, Aqua-Tech Solutions, as part of the company’s international growth plans in the US.
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High-fidelity 3D engineering simulations are valuable in making decisions, but they can be cost-prohibitive and require significant amounts of time to execute. The integration of deep-learning neural networks with computational fluid dynamics may help accelerate the simulation process.
