Management
Of the total approved by ADNOC’s board, $50 billion will be invested in Canada under a framework agreement targeting projects in AI, energy, and mining.
By resuming work on the Rovuma LNG project, ExxonMobil tees up a final investment decision expected in 2026 as East Africa’s LNG hub begins to take shape with three separate projects now in construction.
Westwood Energy analysts suggest operators have an opportunity to secure rigs at lower rates for their 2027 drilling programs.
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DNV’s Energy Transition Outlook 2024 projects continued growth in solar; slower growth in wind; and declines in coal, oil, and gas, while hydrogen and carbon capture projects are struggling. -
We’re thrilled to announce the launch of the 2025 SPE/JPT Drilling and Hydraulic Fracturing Technology Review. This exclusive, official publication will be distributed at three major SPE industry events.
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Contactor will provide EPCI work related to the subsea portion of the 20K Gulf of Mexico development.
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The SPE Europe Energy GeoHackathon aims at educating and disseminating knowledge to all the participants on how data science applications can support geothermal energy developments and drive the energy transition. Boot camps begin 21 October.
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Canadian Natural Resources strengthens its position as a leading oil and gas producer in Canada.
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By adding this latest EPCI contract for pipelines and cables to earlier awards, McDermott is now responsible for all offshore infrastructure associated with Qatar's massive North Field Expansion.
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The agreement formalizes JV ownership of Turnwell Industries which ADNOC Drilling created to manage a $1.7 billion unconventional drilling contract awarded in May.
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A government-imposed limit on gas reinjection aimed at fueling domestic growth risks cooling future investor interest in Brazil’s offshore.
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This paper delves into the evolving landscape of drilling automation, emphasizing the imperative for these systems to go beyond novelty and deliver quantifiable financial value.
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This paper describes a new application that leverages advanced machine-learning techniques in conjunction with metocean forecasts to predict vessel motions and thruster loads.
