Data & Analytics
A combination of physics principles and machine-learning techniques is used in this work to develop a virtual flowmeter for oil-production optimization in electrical-submersible-pump-lifted oil wells, resulting in reliable generalization.
After years of market shocks, technological breakthroughs, and rising uncertainty, ATCE 2026 will provide new insights on how industry leaders and technical experts are preparing for the next era of the upstream business.
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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Automated image-processing algorithms can improve the quality and speed in classifying the morphology of heterogeneous carbonate rock. Several commercial products have produced petrophysical properties from 2D images and, to a lesser extent, from 3D images. -
The complete paper provides an approach using machine-learning and sequence-mining algorithms for predicting and classifying the next operation based on textual descriptions.
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The complete paper describes an automated machine-learning approach to determine the spatial variation in decline type curves for shale gas production, based on existing data of production, completion, and geological parameters.
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Imagine the time when we are no longer concerned about the digital-transformation issues we face today, such as data availability, security, and many others. This would be the time when companies make the best out of digital infrastructure. This era might be here sooner than expected.
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A recent panel discussion highlighted the industry’s progress in achieving significant digital advances. Barriers remain, however, and the measurement of success is being defined in this evolving technological step change.
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The pandemic has been an unexpected jolt for the global economy, bringing many industries to a halt. Murphy has taken a step forward into a digital future by designing and implementing a COVID-19 tracking app that is easy to use, quick, and convenient.
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Advances in drone technology and construction have allowed more industrial applications to take off. One application for which drones may be particularly useful is health, safety, and environmental compliance. Similarly, drones may help facilities comply with site security regulations.
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SponsoredWhile more operators than ever are digitizing their operations, they also need to consider the advantages of selecting a scheduling software. This White Paper illustrates the benefits of selecting AI-powered scheduling software that properly addresses the total needs of a drilling program.
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Deep learning is routinely used in products and services that affect hundreds of millions of lives, despite the fact that no one quite understands how it works. Now, the Office of Naval Research has awarded a $7.5 million grant to a group of researchers who think they can unravel the mystery.
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“Being mindful is about being intentional,” said Ahmer Inam, chief AI officer at technology consulting firm Pactera Edge. “Mindful AI is about being aware and purposeful about the intention of, and emotions we hope to evoke through, an artificially intelligent experience.”
