Testing page for app
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I would like to invite readers to review the selection of papers to get an idea of various applications in the upstream oil and gas space where ML methods have been used. The highlighted papers cover the use of transformer-based models to predict oil production, the use of data analytics to study parent/child well relationships in shale plays, and the use of convoluti…
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Development duo is expected to add more than 12,000 B/D of oil production at peak.
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This paper discusses novel acoustic techniques used to identify productive zones and areas of sand production in a well with a sanding event.
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Petroleum engineers have important roles to play in the future energy for the world. Among these are using our traditional concept of producing oil and natural gas as we are doing now and will need to continue to do for decades to come; using our competencies to address the challenges of climate change; and helping to develop additional forms of energy that do not add…
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This paper discusses the strategy, approach, and challenges faced in the adoption and implementation of an onsite and remote automated-drilling performance measurement.
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An independent consultant believes the find could hold 1.7 billion bbl of recoverable reserves.
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The previous wells in the program have exceeded type curve estimates.
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SponsoredUse AI and ML to automate workflows and analyze data within minutes. Employ a fit-for-basin approach designed for US-centric workflows.
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The authors of this paper propose a novel approach to data-driven modeling for transient production of oil wells.
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Injecting gas plus water proved more effective and less costly than gas-only injection in the Bakken.