Onshore/Offshore Facilities
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Plans call for license partner Aker BP to serve as operator during the development phase, with operatorship reverting to DNO after first oil in 2028.
Production from the Búzios field now tops 1 million B/D with six floating production systems in operation and more on the way.
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The authors describe how tools in machine learning are used to develop data-driven models that can be used for accurate and efficient fatigue-damage prediction for marine risers. -
Eight-year project to replace key Canada-to-US crude oil pipeline completed.
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Excelerate, once disqualified from the proceedings, ends up with lease agreement to December 2023.
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Aquaterra Energy, Lhyfe, and Borr Drilling have formed a partnership to pioneer a concept of producing hydrogen using a converted jackup rig in the North Sea.
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Egypt is halting its liquefied natural gas export business, instead redirecting surplus natural gas to Lebanon via the Arab Gas Pipeline. Meanwhile, the US is considering waiving some sanctions against Syria.
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Wind energy is one career option for engineers who have the offshore experience needed for a business planning for a boom. It looks like an obvious renewable energy option now, but flexibility is required because this transition is likely to change direction.
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The newbuilds are slated for delivery in 2024.
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Shell reported that most of its production was back online, but some facilities will remain shut-in until the end of the year.
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A review of the properties of iron compounds and their impact in shale produced water treatment with an emphasis on their colloidal forms. A wide range of problems is associated with these compounds in produced water including emulsion stabilization, oil-coated solids, pad formation in separators, pipeline solids, and plugging of water disposal formations.
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The downtime of manufacturing machinery, engines, or industrial equipment can cause an immediate loss of revenue. Reliable prediction of such failures using multivariate sensor data can prevent or minimize the downtime. With the availability of real-time sensor data, machine-learning and deep-learning algorithms can learn the normal behavior of the sensor systems, dis…
