Production
Unlike traditional AI approaches that rely primarily on historical data, physics-based AI integrates physical laws, engineering expertise, and operational constraints directly into the learning process. Three recent SPE papers illustrate how this paradigm is transforming the industry through intelligent condition monitoring, virtual sensing, and autonomous production …
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.
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During the past 3 years, over half a million patents were granted for production monitoring. This progress has led to a shift toward integrated work flows, cloud-based platforms, resilient sensors, process simplification, and automation. -
The papers described here focus on novel unconventional horizontal downhole pump card signatures, carbon reduction through alternative energy to pump wells, and predicting downhole-discharge pressure of ESPs.
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Longtime leaders in artificial lift discuss and share their insights on the rapidly evolving segment’s past, present, and future.
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The world of artificial lift has witnessed a remarkable revolution over the past 25 years, with many of the events and technology trends recorded in the Journal of Petroleum Technology.
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There will always be a need for good artificial lift engineers. So, what should the next generation of its professionals be trying to pursue?
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This paper discusses a new type of mechanical gas separator for electrical submersible pump systems that increases operating flow range and separation efficiency while decreasing erosion problems and improving reliability.
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This paper describes how near-real-time tracer data from the onsite tracer analysis enabled the operator of the Nova field to interactively optimize two well cleanups.
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This paper presents an approach using artificial neural networks to predict the discharge pressure of electrical submersible pumps.
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This paper aims to analyze the relevance of wind and solar energy for the supply of artificial lift systems on offshore platforms in the Brazilian equatorial region.
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This paper provides insights into the technical and economic viability of repurposing oil and gas wells for geothermal energy production for direct heating.
