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 21st century oil and gas industry thrives on hardcore computing power, crunching data derived from seismic testing to find oil deep in the ground and below the sea. Now, an Australian company will fire up a digital behemoth in a data center near the Houston suburb. -
Studies conducted through collaboration between an operator that knows the physical reality and a data-science company that knows the best machine-learning methods yield good practical results.
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Arundo Analytics has built an integrated industrial Internet of things platform that allows data scientists to productize data-science solutions and accelerate feedback/improvement iterations between end-users and data scientists effectively.
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Some 3,000 people and counting intrigued by UK oil and gas data have signed up for access to the country’s new National Data Repository. What motivated the OGA to make the data available to the public, and what can the public do with the data?
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Vast amounts of offshore and onshore reliability data will be made available as the project by the Norwegian Petroleum Directorate provides access to its now-digital data in an effort to improve accessibility and efficiency for oil and gas industry reliability data.
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Microsoft announced three new services that aim to simplify the process of machine learning—an interface for a tool that automates the process of creating models; a new no-code visual interface for building, training, and deploying models; and hosted Jupyter-style notebooks for advanced users.
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Analytics, sensors, and robots are changing the way one of the world’s largest oil and gas companies does business. Underpinning all the new technology though is a shift in how BP thinks, and what it means to be a supermajor in the 21st century.
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Digitalization and new technologies are disrupting old practices and shaping a new safety landscape for the oil and gas industry. At OTC, a panel sponsored by the Center for Offshore Safety looked at the effects of some of these new technology trends.
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The partnership opportunity is designed to spur the development of next-generation tools and technologies that will become widely adopted throughout the energy sector to reduce the risk that a cyber incident could disrupt the country’s energy system.
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Data science and decision science are related but still separate fields, so, at some points, it might be hard to compare them directly. This article attempts to show the commonalities, differences, and specific features of data science and decision science.
