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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A 2020 cyberattack resulted in the theft of 1 terabyte of information from the oil giant. -
Although quantum computing, or quantum processing, has still not become a reality in the oil and gas industry, it will prove disruptive according to an executive of a Brazilian player.
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An EU-backed wind foundation design project revealed that predictive digital twin technology can reduce the steel weight and associated costs of offshore foundations.
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The oil and gas industry can benefit from the operational insights that IT/OT convergence provides. Predictive maintenance, in particular, helps improve safety and control costs.
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Halliburton supplies the sensing and analytics technology, and TechnipFMC provides the necessary connections. The combination, which won a Spotlight on New Technology Award, will be used by ExxonMobil in Guyana.
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Four CEOs describe what goes into turning a world of data into a data-driven world.
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The authors write that even simple deep-learning architectures can identify a leak using pressure data.
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We need to analyze the carbon intensity of reserves, the potential emissions that are in front of us, not just the carbon intensity of current operations. An engineering solution associated with production forecasts over time offers a framework for thinking through the carbon-emissions issue.
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The authors demonstrate how artificial intelligence and machine learning can help build a purely data-driven reservoir simulation model that successfully history matches dynamic variables for wells in a complex offshore field and that can be used for production forecasting.
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The recent cyberattack on Colonial Pipeline’s IT system has thrust the issue of oil and gas industry cybersecurity into the spotlight, which, according to specialists in the field, is where it should always be.
