Asset Management
The sale of Woodside’s Calypso stake to BP completes the company’s withdrawal from Trinidad and Tobago after decades of operations in the country.
ExxonMobil’s Letter of Intent to begin preliminary engineering and procurement work for Mozambique’s Rovuma LNG project bridges the development to a final EPC contract, which Area 4 partners are expected to award following an FID anticipated by year-end 2026.
Sixteen companies submitted 69 bids worth $99.5 million in the Big Beautiful Gulf 3 sale.
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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. -
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.
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The paper describes the revalidation of a deepwater prospect that resulted in a no-drill decision.
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This paper describes the integration of iterative torque/drag/buckling and hydraulic simulations for multiple tapered string combinations, the results of which guided the selection of a string configuration that deemed planned well total depths feasible.
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Drilling experts recently shared candid views on what will be required for their segment of the upstream business to move to the next stage of development.
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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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EQT is benchmarking its way to basin-leading productivity and relying on partnerships and new technology to turn KPIs into operational reality.
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The oilfield service company said its emissions reductions are thanks in part to the increased use of renewable energy and operation efficiencies.
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The companies also agreed to collaborate on new AI models to unlock further insights from S&P Global Energy’s upstream data.
