SLB
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This paper presents a family of machine-learning-based reduced-order models trained on rigorous first-principle thermodynamic simulation results to extract physicochemical properties. -
The venture will deploy Eni's real-time, pipeline-integrity monitoring system.
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The Brazilian major said it plans to integrate the software throughout its exploration, development, and production operations.
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This paper describes a work flow that integrates data analysis, machine learning, and artificial intelligence to unlock the potential of large relative permeability databases.
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Leading energy technology companies unite to unlock efficiencies and increase reserve recoveries using digital advances.
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The authors of this paper describe a solution using machine-learning techniques to predict sandstone distribution and, to some extent, automate the process of optimizing well placement.
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This study illustrates how a combination of a straddle-packer system and a downhole real-time telemetry successfully stimulated up to 38 stages while maintaining packer-seal integrity and downhole pressure.
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The authors of this paper describe an underbalanced coiled-tubing drilling campaign in the operator’s onshore fields using a closed-loop system design.
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The authors describe coiled tubing operations that used a riser on a monohulled vessel already performing riserless interventions.
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In this paper, a comparison is presented of the range of production outcomes for Clair Phase 1 and Clair Ridge, including the potential downsides of relying on natural fractures.
