Testing page for app
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The world’s reliable engine of crude demand growth is stalling out, and its impact on the upstream market is already being felt. -
The authors of this paper propose hybrid models, combining machine learning and a physics-based approach, for rapid production forecasting and reservoir-connectivity characterization using routine injection or production and pressure data.
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This paper presents an overview of the operator’s Marlim and Voador fields revitalization project, highlighting features and main achievements in the context of Campos Basin redevelopment.
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his paper investigates the challenges faced in the development of mature and tight fields, primarily resulting from reservoir depletion, high operational costs, and uncertainty in reserves volumetric calculations.
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From the papers reviewed, a spectrum of case studies addresses how practitioners are taking on the challenge of extending economic life and revitalization of mature fields through better understanding of the subsurface and adapting existing techniques and technologies in innovative ways.
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Advancements in new technologies and rigorous testing methods have enabled the authors of the three SPE papers featured this year to outline a path forward, offering new possibilities that uphold the core objectives of safety and productivity.
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The oil and gas industry must balance global energy demands with stricter environmental regulations, particularly in drilling, where risks and complexities are higher. Innovative technologies, like those used in this stuck-pipe scenario offshore Azerbaijan, are key to overcoming these challenges and improving safety, speed, and efficiency.
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This paper tests several commercial large language models for information-retrieval tasks for drilling data using zero-shot, in-context learning.
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In this paper, a dynamic multiphase-flow simulator is used to evaluate the effectiveness and suitability of using a subsea capping stack to respond to a CO₂ well blowout.
