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 pairing was instrumental in Expro’s receipt of a multiyear well-intervention services contract for Chevron’s Gorgon development. -
ExxonMobil submitted a proposal to Colombian authorities to develop a hydraulic fracturing pilot project in the Magdalena Basin. Colombia wants to drastically raise its declining reserves-to-production ratio by tapping into shale.
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With an eye to the future, Interface Fluidics is bringing nanotech to the oil field.
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Project partnership eyeing an additional 10% recovery from venerable offshore field.
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Saudi Arabia will keep its voluntary 1 million-barrel cut intact while Russia allowed a small production increase.
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ConocoPhillips, Pioneer view Exxon, Chevron as prime movers to bring investment back into the play.
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Artificial lift really shines during a downturn. This is because, when capital spending is constrained, artificial lift is one of the few levers an operator has available to increase production while reducing operating expenses.
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An artificial-lift concept consisting of an in-well ESP as the primary method and a mudline system as backup has proved effective in an unltradeepwater heavy-oil field.
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S13Cr tubing specimens experienced stress corrosion cracking with phosphate-based completion fluids contaminated with mud and oxygen, whereas formate-based completion fluid is compatible with the tubing.
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A plunger lift optimization software has been developed that enables set-point optimization at scale.
