Drilling
As Egypt’s largest oil and gas investor, Eni is ramping up its 2026–2027 drilling campaign with new investments cross the Mediterranean offshore, Nile Delta, Western Desert, and offshore Sinai to strengthen the country’s role as a regional gas and LNG export hub.
The deals, with a potential value exceeding $3.7 billion, are aimed at strengthening Saudi Aramco’s supply chains and expanding its use of industrial artificial intelligence.
Brownfield redevelopment and new exploration projects could lift Venezuelan output above 2 million B/D by next decade.
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This selection of cutting-edge articles spotlights how experimental concepts are now driving cost-saving strategies in unconventional development. It’s a reminder that innovation often comes from creative thinking, not just new tools or tech partnerships. -
The new wells at Zohr are key to a plan to return Egypt’s gas production back to “pre-crisis” levels by June 2025.
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The Libyan National Oil Company plans to tender 22 onshore/offshore exploration blocks in 2025 as it works to rebuild credibility with foreign oil producers.
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This paper investigates the effect of calcium oxide as an expansive agent on the performance of geopolymer-based sealing materials, with successful application in oil and gas wells at shallow depths.
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Operator TotalEnergies and rig owner Vantage Drilling form joint venture to purchase the Tungsten Explorer.
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The decision invokes a 1953 law that will make it difficult for incoming US President Donald Trump to reverse.
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The objective of this paper is to outline the importance of new standards for studying hydraulic sealability of barrier materials, with an emphasis on interface analysis.
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The authors of this paper describe how deployment of dual-casing cement-bond-logging technology has provided critical insights in real time for decision-making on remedial jobs.
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Advancements in new technologies and rigorous testing methods have enabled the authors of the three SPE papers featured this year to outline a path forward, offering new possibilities that uphold the core objectives of safety and productivity.
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This paper tests several commercial large language models for information-retrieval tasks for drilling data using zero-shot, in-context learning.
