Asset Management
Five agreements target more than 11 Tcf of offshore gas and include flare-reduction technology.
Disputes over tanker fees and the ongoing military operation in Lebanon represent potential fault lines for the tentative peace deal.
ExxonMobil and QatarEnergy’s MoU with Cairo to monetize Cyprus’ offshore Glaucus and Pegasus natural gas supports Egypt’s strategy to become the Eastern Mediterranean’s leading gas processing and LNG export hub.
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The UAE will prioritize national interests and production flexibility, setting up implications for OPEC’s market power, oil, prices, and global supply dynamics. -
Talos Energy founder Tim Duncan has been named executive chairman of newly formed 1947 Oil & Gas, which will focus on acquiring and developing mature, shallow-water assets through its buyout of Renaissance Offshore. The deal is expected to close in Q2 2026.
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Operators aren’t rushing to drill, even as the closure of the Strait of Hormuz drives oil prices up.
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The following three papers show challenges and potential solutions across various stages of the deepwater well-development cycle from a variety of deepwater basins across the world.
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The authors describe a study on key technologies for intelligent risk monitoring of workover operations.
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This paper establishes that the use of a dual-gradient fluid column during the running of large casing in an extreme-reach deepwater well is an effective method to overcome drag and enable the casing to reach total depth.
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The authors write that by replacing outdated, labor-intensive processes with an integrated, cloud-based platform, companies can streamline planning, improve accuracy, and foster better coordination across teams and vendors.
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The authors write that deployment of artificial-intelligence-based high-gas/oil ratio well-control technology enabled stabilization of well performance and maintenance of optimal production conditions.
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This paper presents the first global application of autonomous drilling in deepwater and the journey to reach optimal drilling parameters, integrating proprietary tools from the project’s business partners.
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In this paper, a case study is described in which a software solution enabled prescriptive optimization of well delivery using a physics-informed machine-learning approach for predictive identification and characterization of well-construction risks.
