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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Unconventional operators are finally beginning to use to their advantage the nearly endless stream of data they’ve collected over the years. ConocoPhillips explains how it has seen real improvements in its operations by removing data friction and opening up access across typical work silos. -
Two prominent security consultant firms estimate that energy companies, ranging from drillers to pipeline operators to utilities, invest less than 0.2 percent of their revenue in cybersecurity.
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Unmanned aerial systems (UAS) are lightweight, low-cost aircraft platforms operated from the ground that can be outfitted with imaging or nonimaging payloads. UASs offer health, safety, and environment professionals a promising opportunity to reduce risks by keeping people out of harm’s way.
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As leaders in digital drilling analysis push into real-time data analysis and digital controls, they are finally confronting data-quality problems. Humans are better than machines at dealing with ambiguous readings.
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Energy companies are looking to distributed ledger technology—otherwise known as blockchain—to help navigate the complex transactional systems that make up their operations. What is blockchain, and what makes it valuable to our industry?
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A producer and a service company have collaborated to develop a downhole system to merge multilateral technology and intelligent completions to create “smart laterals.”
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What I find impressive is the number of people who were hiding in normal discipline jobs who are coming out of the closet with their Python scripts. And, it’s working. In many ways, order is coming to the mess, efficiency is coming to tiresome manual activities, and richness is coming to decisions.
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The authors present a new data-driven approach to estimate the injection rate in all noninstrumented wells in a large waterflooding operation accurately.
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Total is expanding its development and use of artificial intelligence to bolster its exploration work, collaborating with Google Cloud—which is stepping up its presence in the oil and gas industry.
