Asset Management
Acting director of the new center Ale Hakala outlines the research priorities guiding the newly established center’s focus on production enhancement technologies.
AI‑driven data center growth is straining US power grids and accelerating interest in enhanced geothermal systems as a scalable, low‑carbon solution.
The acquisition establishes a unified North American upstream analytical data set with the goal of streamlining capital allocation decisions.
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The authors write that by replacing outdated, labor-intensive processes with an integrated, cloud-based platform, companies can streamline planning, improve accuracy, and foster better coordination across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. -
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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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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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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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.
