Data & Analytics
This research focuses on combining physics-based expert rules with machine learning to improve the detection of failure-related events in electrical submersible pumps.
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.
This paper presents the deployment of an artificial intelligence-enabled autonomous gas lift optimization system, integrating real-time centralized advanced process control with cloud-based analytics to enhance artificial gas lift performance in producer wells.
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The Environmental Defense Fund's report called "Hitting the Mark" is a roadmap for the oil and gas industry to obtain and report good data on methane emissions. But it also laments that methane emissions data are outdated, inaccurate, and unreliable. -
The deal fills a gap in the software developer's production line that is focused on drilling, production, and land management applications.
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Wintershall Dea set out to demystify digital for engineers with an informal network of staff experts who help fill the gaps in this new way of doing things and have a focus on maximizing the return on problems previously solved.
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The country expects the digitalization project to promote Egypt’s exploration and production potential worldwide.
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Digital data startups face many hazards, from potential customers unwilling to share data to buyers who just do not see the payoff in what they are selling.
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The oil industry’s rush to capitalize on digital change has scrambled relations with service providers big and small, giving the oil companies a greater say in the process.
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At Equinor’s giant new North Sea oil field, thousands of sensors feed into Data Gumbo’s novel blockchain platform—encoding an immutable record of operations, the better to automate contracts, pay vendors, and (in the not too distant future) even measure carbon emissions.
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Shell, C3 AI, Baker Hughes, and Microsoft have teamed up to launch the Open AI Energy Initiative platform that is designed to present AI-based reliability applications to improve operational efficiency.
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This column is intended to provide a starting point and a roadmap for professionals who want to learn data science and are struggling with the question, “Where do I start?”
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Murphy Oil has created a work flow to normalize the tags it uses when collecting data on its hydraulic fracturing stages. The work flow described here empowers decision makers, who no longer wait for hours to collect data or waste hours cleaning and preparing data for analysis.
