Asset Management
Production delivered by the subsea artificial lift system will equal that obtained by drilling two new wells, according to BP.
Thanks to stepout-well and tieback technologies, Shell’s Mars platform is the first single offshore platform in the US Gulf to produce 1 billion bbl of crude over its lifetime with production expected to continue into the 2040s.
The new guidelines were released prior to reports that enhanced geothermal developer Fervo Energy experienced a blowout in Utah with no reported injuries.
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In partnership with OTC 2026, Rystad Energy has shared its latest outlook for the offshore sector and the role it is expected to play in supplying low-cost barrels through 2050. -
Hydraulic fracturing holds great potential in the region, but there are several key questions worth asking as efforts move forward.
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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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Formerly titled E&P Notes, this monthly snapshot of global E&P activity highlights ongoing developments worldwide.
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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The authors write that by replacing outdated, labor-intensive processes with an integrated, cloud-based platform, companies can streamline planning, improve accuracy, and foster better coordination across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.
