Production
The legacy of per- and polyfluoroalkyl substances (PFAS) is a persistent problem in many industries, including upstream oil and gas. In this Q&A, remediation expert Grant Scott presents the trouble with these “forever chemicals” and the mitigating efforts being used.
As the pace of new discoveries slows and high-quality prospects become harder to find, oil companies may need to rely more heavily on mature fields to maintain production and support future supply.
With confidence in subsea boosting performance growing, BP is incorporating pumping systems into both greenfield developments and brownfield expansions.
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Investment research firm TSCS reports that 60 to 65% of the highest-quality acreage in the Permian Basin, the most productive US shale basin, has already been drilled. The firm also estimates that only 3 to 4 years of Tier 1 premium inventory remains at the current drilling rate. This is driving industry-wide strategy shifts as companies move to lower tier and specula… -
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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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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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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This paper documents the testing, integration, and field deployment of a metal expandable packer used as an openhole toe isolation plug in a deepwater well under high-pressure, high-temperature conditions.
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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 …
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This study explores the carbon-capture and mineralization potential of ultramafic rock powders when exposed to flue gases generated from combustion of crude oil and mesquite-derived charcoal.
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This paper aims to establish a set of best practices for generating particle-size-distribution data from core samples.
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At the inaugural SPE/ICoTA Asia Pacific Well Intervention and P&A Conference and Exhibition in Kuala Lumpur, industry leaders highlighted how high-fidelity well data, real-time diagnostics, and predictive technologies are reshaping intervention planning and execution to improve well performance, reduce risk, and optimize late-life asset management.
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SponsoredWith operators under pressure to deliver more energy with fewer resources, predictable drilling performance is more important than ever. Discover how a unified digital workflow can turn drilling data into better decisions and consistent execution—providing the foundation for autonomous drilling and more predictable, profitable, and productive wells at scale.
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