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The authors develop a data-driven approach, enabled by machine learning, to find an optimal operating envelope for gas-lift wells.

The oil and gas industry generates vast amounts of data that, if properly leveraged, can generate insights that lead to recovering hydrocarbons with reduced costs, better safety records, lower costs associated with equipment downtime, and reduced environmental footprint. Data analytics and machine-learning techniques offer tremendous potential in leveraging the data.

As Canada, Greenland, and even Norway shy away from developing their Arctic oil and gas resources, only Russia and the US remain in the game as Alaska seeks to renew interest in exploration and development of its North Slope.

This paper describes a comprehensive approach to mitigate systemic failure in gas-lift valves in presalt wells.

This paper describes a study aiming to provide input for the well-completion-strategy design and operational parameters for a carbonate reservoir experiencing electrical-submersible-pump failures.

ADIPEC 2021 will be the first major energy exhibition and conference taking place after COP26, where CEOs, government ministers from around the world, and energy experts will set out the future of the sector.

This paper details new technologies and work flows implemented for Australian offshore wells to improve drilling efficiency while managing associated risks.

This paper describes a technology with the capability to map and detect lithology changes ahead of the bit in real time.

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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.