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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Petroweb, a provider of global E&P data cataloging to the energy industry, announced the launch of its Data Curating platform, which provides a continuously up-to-date catalog of available third-party E&P data sets worldwide. -
Many predictions have been made about what advances are expected in the field of artificial intelligence and machine learning. This column reviews a “data set” based on what researchers were apparently studying at the turn of the decade to take a fresh glimpse into what might come to pass in 2020.
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Using the supplied data set of cone penetration test results, competing teams had to predict the number of hammer blows required to drive the pile a given unit of depth in the North Sea.
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HML methods have become common in recent applications. We have probably been using some of them without realizing it. It is, however, necessary to know about them in the context of understanding the underlying concepts of their methods and how they work.
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The company claims the supercomputer, known as HPC5, is the world’s most powerful for industrial use.
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Artificial intelligence may never match the human brain.
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Will digital transformation continue to drive business impact beyond the hype? This interview with Ken Medlock, senior director of the Center for Energy Studies at Rice University, offers a perspective focused on the greater forces shaping the digital transformation trend.
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The data-driven maintenance program incorporates riser condition, usage, and fatigue analysis with a risk-based inspection process.
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Artificial intelligence and emerging technologies such as virtual personal assistants and chatbots are rapidly making headway into the workplace. Research and advisory company Gartner predicts that, by 2024, these technologies will replace almost 69% of the manager’s workload.
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Recently, the hype around artificial intelligence and machine learning caused several people to ask me how much of a project is actual machine learning. Based on man-hours spent on the project, I estimate that only about 5% of the effort is spent directly on data-science-related activities.
