Asset Management
With the latest addition, the Italian major’s computational capacity passes the exaflop threshold, making the firm the world’s leading company by computing power in the new TOP500 global ranking.
This paper explores the development of direct-lithium-extraction technologies designed to recover lithium from unconventional feedstocks.
This study applies Monte Carlo simulation and an XGBoost regression model to assess the influence of various formations, geologic provinces, tectonic-plate types, and boundary conditions on hydrogen concentrations.
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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. -
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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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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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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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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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.
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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 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.
