Production
This paper aims to establish a set of best practices for generating particle-size-distribution data from core samples.
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.
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The recent plunge in oil prices has reinforced a number of truths about our industry. -
Field X consists of 17 scattered clusters of more than 100 oil wells producing from different reservoirs.
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This paper focuses on analysis of beam-pump-failure root causes and trends and how the operator has used these data combined with automated equipment to reduce failure frequency and operating cost.
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One thing this cycle has in common with all of the other down cycles the industry has been through is that most companies ignore the opportunities a down cycle presents.
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A production-optimization strategy of an artificial-lift system resulted in the mitigation of challenges related to reservoir heterogeneities and completion design.
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This feature takes a look at the work being done by companies to improve corrosion inhibitor fluids and inhibition techniques for offshore projects.
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Veros Systems is selling simplicity. The electric machine monitoring company promises accurate warnings of problems long before they occur, with a minimum of monitoring equipment to install.
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Mature fields still have value, and technology can help to capture that value through increased efficiency and reduced costs.
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This paper provides an operator’s viewpoint of in-well monitoring, covering some of the key challenges.
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Case studies from around the world prove that big rewards await companies that optimize the artificial lift systems keeping their mature fields alive. The success stories involve a mix of monitoring, automation, and performance tracking.
