Onshore/Offshore Facilities
Despite significant progress in capturing associated gas for domestic use, Iraq remains the world’s third-largest gas-flaring country as it aims for higher oil and gas production targets.
Shell has reached FID on LNG Canada Phase 2, a major expansion that will double the Kitimat facility’s LNG export capacity to 28 mtpa and strengthen long-term supply to growing Asian markets.
The 2026 Upstream Scale Guidelines establish a common workflow for field measurements, scale modeling, and risk assessment to support more consistent operational decisions.
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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…
