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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As technology advances in the oil and gas sector, so does cybersecurity risk. To stay secure, companies should blend cybersecurity into their safety conversations, said expert Nicholas Andersen at the 2022 Offshore Technology Conference. -
Cryptocurrency is not the only game in town when it comes to using natural gas at the wellhead to reduce flaring. There are self-driving cars, the coming “metaverse,” language processing, chat bots, and more, all of which require advanced computing and a lot of energy. The demand is driving an expansion of services for Crusoe Energy.
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Technology continues to transform every aspect of our lives and its role in modernizing oilfield operations is no different.
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The perception of the petroleum industry is not currently a good one. So, if that sentiment can be measured, can it be improved? The SPE Sustainable Development Technical Section believes it can by SPE members thinking like activists yet acting like engineers. Data collection and analysis are key to determining what really matters.
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The paper describes the experience of using a machine-learning model prepared by the ensemble method to prevent stuck-pipe events during well construction in extended-reach wells.
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Capitalizing on technology that originated with NASA delivers savings on directional drilling operations.
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This paper presents a screenout-classification system based on Gaussian hidden Markov models that predicts screenouts and provides early warning.
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The certification course, run by SeaBot XR, focused on critical topics such as mission analysis, situational awareness, cybersecurity, and resource management.
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The two companies have teamed up in an attempt to cut downhole costs with a project that aims to extract more information from reduced data-acquisition programs.
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Oil and gas facilities regularly store and dispense large quantities of flammable and combustible liquids. Given the potential for gas, vapor, or dust to collect in these areas, the electronic equipment installed must be designed to prevent ignition of these elements by electrical arcing or other thermal means.
