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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Rather than waiting for a dominant player to emerge, the oil and gas industry is at a point in its journey with blockchain where it makes sense to actively start working toward common architectures and standards in the blockchain domain. -
Data undoubtedly has value, agreed participants at a recent symposium held by the Professional Petroleum Data Management Association in Denver. Quantifying that value—and communicating that value to decision-makers in a company—however, is tricky if not impossible.
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Using deep-learning and computer-vision techniques, the software recognizes all instances of specific instruments, valves, lines, and other features in a P&I diagram in seconds.
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The joint offerings are expected to help make energy operations safer, cleaner, and more efficient.
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The vigilante hacker has offered the reward for hacktivists and criminals who break into capitalist institutions.
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The digital transformation is a risky proposition for oil and gas companies adapting to a rapidly changing business environment, but a failure to adapt could spell trouble for the industry.
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The seismic sensors will be dropped by six autonomous aerial drones and later be retrieved by an unmanned ground vehicle instead of conventional manual deployment and recovery by ground-based teams.
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The scientific literature is riddled with bad charts and graphs, leading to misunderstanding and worse. Avoiding design missteps can improve understanding of research.
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The use of technology has helped ensure the profitability of the oil and gas industry despite a 50% fall in prices in 5 years. The key question, however, is whether the digital revolution can answer the sector’s biggest challenge: how to secure future production.
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The November issues of SPE’s peer-reviewed journals SPE Reservoir Evaluation & Engineering and SPE Production & Operations include papers addressing data analytics and machine learning.
