Onshore/Offshore Facilities
Marine contractor also approves the construction of a new heavy-transport ship.
Nitzana will enable Israel to double gas exports to Egypt from the giant Leviathan gas field in the Eastern Mediterranean.
Train 4 is expected to add 6 million tonnes per year of capacity to the South Texas liquefied natural gas project when it goes online in 2030.
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Subsea inspection/repair/maintenance services have traditionally relied on vessel-based, ROV, or diver operations. In the longer term, identifying significant incremental savings in these operations is not sustainable and an innovative approach deploying digital technologies is being investigated. -
A project of “firsts,” Equinor’s Aasta Hansteen spar platform began producing gas on 16 December, opening a new region for gas export to Europe and the UK.
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A year and a half after President Donald Trump reversed an Obama administration decision to block TransCanada’s Keystone XL pipeline, a federal district judge in Montana has halted the project again, citing an insufficient review of the project's environmental impact.
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Cheniere Energy today shipped the first cargo of LNG from its Corpus Christi liquefaction facility, marking the first export of LNG from Texas.
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Westwood forecasts a recovery in the subsea market backed by a new wave of offshore investment. Subsea vessel operations and hardware expenditure are expected to total $152 billion from 2019 to 2023.
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The US EIA projects LNG export capacity will rise to 8.9 Bcf/D by the end of next year, making the US the third-largest exporting country in the world behind Australia and Qatar.
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Venture Global LNG awarded the EPIC contract for its Calcasieu Pass LNG export facility to Kiewit. FID is expected in 2019, completion in 2022.
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The firm hopes to remedy the cost-, labor-, and time-intensive process of executing offshore projects through deployment of “Subsea Connect,” which it says can cut project development costs by 30%.
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Creativity and innovation have long characterized production and facilities, and this year is no exception. The economic challenges of the oil industry clearly have provided a strong stimulus for even more creativity and innovation.
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This paper focuses on compressor systems associated with major production deferments. An advanced machine-learning approach is presented for determining anomalous behavior to predict a potential trip and probable root cause with sufficient warning to allow for intervention.
