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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Fed by big data loads from big operators, a university consortium and software firm are each working to make upstream data access as quick and easy as a Google search. -
This paper demonstrates how engineers can take advantage of their most-detailed completions and geomechanical data by identifying trends arising from past detailed treatment analyses.
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The operator piloted a new well-completion design combining inflow-control valves (ICVs) in the shallow reservoir and inflow-control devices (ICDs) in the deeper reservoir, both deployed in a water-injector well for the first time in the company’s experience.
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Machine-learning methods have gained tremendous attention in the last decade. The underlying idea behind machine learning is that computers can identify patterns and learn from data with minimal human intervention. This is not very different from the notion of automatic history matching.
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In collaboration with Stanford University and Brown University, Google explores how existing knowledge in an organization can be used as noisier, higher-level supervision—or, as it is often termed, weak supervision—to quickly label large training data sets.
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With new digital platforms and technologies driving the industry in the near future, organizations are examining the ways in which their established work flows may help or hinder their ability to adopt and adapt.
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Blockchain, the underlying technology behind the sensational Bitcoin, could profoundly affect the oil and gas industry by cutting down on operational time and costs while also introducing more transparency to the industry.
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Data from the UK Oil and Gas Authority’s new data repository cover 12,500 offshore wellbores, 5,000 seismic surveys, and 3,000 pipelines.
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Like a fast-declining oil well, the value of propriety software is short-lived. Technological advances drive down the value of programs, many of which were never unique.
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Robots have been a part of industrial production for decades, but the interface between humans and robots has changed as automation technologies increased in complexity, scope, and scale. Once a novelty, collaborative robots are projected to become a significant element of the automation landscape.
