Data & Analytics
This paper presents a robot integrated with a microcontroller that provides multiple functions to help with data logging, analysis, and reporting to identify hazards and improve safety protocols.
Aurora Innovation and Detmar Logistics have inked a deal for 30 autonomous trucks that will begin hauling sand in the region next year.
Sustainability in reservoir management emerges not from standalone initiatives but from integrated, data-driven workflows, where shared models, closed-loop processes, and AI-enabled insights reduce fragmentation and make sustainable performance a natural outcome.
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Researchers have created software that borrows concepts from Darwinian evolution, including “survival of the fittest,” to build AI programs that improve generation after generation without human input.
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This paper describes an automated work flow that uses sensor data and machine-learning (ML) algorithms to predict and identify root causes of impending and unplanned shutdown events and provide actionable insights.
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The future of intelligent operations in our industry is being driven by advances from other sectors that have been embraced for petroleum applications. Foundational changes already taking place include advances in the type and volume of data being acquired and how the data are used.
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The complete paper presents a discussion of the use of intelligent well completion in Santos Basin Presalt Cluster wells.
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Gecko Robotics is providing the energy industry with artificial-intelligence-enabled robots to inspect infrastructure and supply massive amounts of data to help predict failures before they occur.
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The AI journey starts with a single step, but too many companies take the wrong first step.
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The words "disruption" and "change" are becoming more and more common in many industries, including offshore oil and gas.
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There is often an assumption that big data, together with machine learning, will solve whatever problems asset-heavy industries such as oil and gas face. This is not the case; big data alone isn’t enough. We need something else to solve these problems, and the answer lies in the world of physics.
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AltaML has announced a partnership with engineering and design firm Kleinfelder in which the two companies will pair 3D reality scans of facilities with artificial intelligence to look for potential problems and risks.
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Researchers with the National Center for Airborne Laser Mapping at the University of Houston are creating a set of algorithms that would allow users to more-precisely align data sets collected at different times and reliably estimate changes between images captured at different times.