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 slew of data science jargon is flooding the industry, and one impediment to the digital transformation is confusion over associated terminology. The Society of Petroleum Engineers is beginning to make a concerted effort to help demystify the buzzwords, and this article kick starts that effort. -
When Google claimed quantum supremacy, IBM challenged it. Nonetheless, the development is really important for the future of artificial intelligence.
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In 2018, Murphy Oil launched an initiative to open-source all internal live streaming data to its engineers. The process led it to implement a global data historian and a corresponding visualization tool. The insights provided are shaping the future of operations at the company.
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Physicists have been talking about the power of quantum computing for more than 30 years, but the questions have always been: Will it ever do something useful, and is it worth investing in?
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Is this the end of petroleum engineering as we know it? 2016 SPE President Nathan Meehan dives into the question on the new SPE Podcast.
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The objective of this paper is to find a safer and more-efficient method for performing inspections on jack-up legs and inside tanks.
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The Management and Information technical discipline will be split to recognize the importance of digital transformation among our members’ responsibilities and the industry as a whole.
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To launch in early 2020, the facility will bring together up to 300 developers, data scientists, architects, and other specialists.
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The sixth annual Deep Learning Summit in London saw industry leaders, academics, researchers, and innovative startups present the latest technological advancements and industry application methods in the field of deep learning.
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Deep learning is good at finding patterns in reams of data but can't explain how they're connected. Turing Award winner Yoshua Bengio wants to change that.
