Production
This paper aims to establish a set of best practices for generating particle-size-distribution data from core samples.
Unlike traditional AI approaches that rely primarily on historical data, physics-based AI integrates physical laws, engineering expertise, and operational constraints directly into the learning process. Three recent SPE papers illustrate how this paradigm is transforming the industry through intelligent condition monitoring, virtual sensing, and autonomous production …
This research focuses on combining physics-based expert rules with machine learning to improve the detection of failure-related events in electrical submersible pumps.
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This paper presents an evaluation of the lithium potential of assets in the North Sea. -
This paper presents a multidisciplinary view of the evolution of a development project for the central area of Sururu and the method applied to address challenges and propose solutions.
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This study aims to optimize the use of rhamnolipid biosurfactants for enhancing the bioremediation of hydrocarbon-contaminated soil.
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This study proposes graphene nanoplatelets as a preflush system to extend the lifetime of a conventional scale-inhibitor squeeze treatment.
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One hydraulic fracturing job can stimulate two wells, but economic success hinges on doing it in the right place for the right price.
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This paper describes the development of a comprehensive digital solution for well surveillance and field-production optimization for an offshore field consisting of four stacked reservoirs, each containing near-critical fluids.
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This paper describes a new integrated workflow for automated well monitoring using pressure and rate measurements obtained with permanent gauges and flowmeters.
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Industry experts advocate for collaboration to develop and test technology that can reduce emissions without breaking the bank.
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Rig counts are down since 2023, but well productivity is marching forward.
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The industry is balancing brains and bots as it squeezes out barrels of oil production.
