Artificial lift
This article from the SPE Artificial Lift Technical Section highlights a positive reality of our industry, one that centers on connecting and collaborating for success.
This case study describes how edge computing and industrial internet of things platforms were deployed to automate and optimize production operations across four distinct basins.
This paper proposes a novel, real-time pump failure prediction method using machine learning with scaled load ratio to accurately predict pump failures using only surface pump load data.
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The industry is balancing brains and bots as it squeezes out barrels of oil production. -
Machine learning is refining gas lift production optimization with scalable automated workflow.
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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 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 article describes how Oxy developed an in-house application to handle critical production operations tasks including surveillance, optimization, downtime entry, and well testing. The application, called Nexus, allows well analysts and production engineers to manage twice the number of wells they were able to manage just 5 years ago.
