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 study explores the carbon-capture and mineralization potential of ultramafic rock powders when exposed to flue gases generated from combustion of crude oil and mesquite-derived charcoal.
-
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. -
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.
-
The paper describes the revalidation of a deepwater prospect that resulted in a no-drill decision.
-
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.
-
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.
-
EQT is benchmarking its way to basin-leading productivity and relying on partnerships and new technology to turn KPIs into operational reality.
-
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.
-
The oilfield service company said its emissions reductions are thanks in part to the increased use of renewable energy and operation efficiencies.
-
The companies also agreed to collaborate on new AI models to unlock further insights from S&P Global Energy’s upstream data.
