Asset Management
This paper presents a flexible, highly cost- and energy-efficient method of gas separation and CO₂ capture from many different gas mixtures with a large range of CO₂ concentrations.
This work introduces a novel predictive methodology combining historical metocean data with real-time riser analysis for shallow water dynamically positioned rig operations.
This paper presents an approach for safe, efficient, and cost-effective legacy well reabandonment.
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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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Hydraulic fracturing holds great potential in the region, but there are several key questions worth asking as efforts move forward.
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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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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.
