Testing page for app
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This paper presents the proof of concept of artificial-intelligence-based well-integrity monitoring for gas lift, natural flow, and water-injector wells. -
Companies that can adapt, innovate, and stay ahead of the curve not only survive, but thrive. To achieve this, a fresh approach to innovation is required: one that harnesses the collective wisdom of customer advisory boards and prioritizes a strategy based on customer value.
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The authors of this paper describe a project in which Raleigh frequency-shift distributed strain sensing monitored during production in a far-field observation well was translated to an estimated pressure profile.
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Updates about global exploration and production activities and developments.
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This paper defines conditions for optimized well-diagnostics investigation and describes a rigless solutions for common well-barrier failures and lessons learned from operator field trials.
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SPE technical papers synopsized in each monthly issue of JPT are available for download for SPE members for 2 months. These December and January papers are available now.
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The authors of this paper describe a project aimed at automating the task of cuttings descriptions with machine-learning and artificial-intelligence techniques, in terms of both lithology identification and quantitative estimation of lithology abundances.
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SponsoredWith more surface facilities and infrastructure in oil and gas fields, well casing integrity is becoming an even bigger challenge. This article sheds light on the optimum way to deal with the increasing casing integrity challenges in the Middle East through field monitoring and time-lapse casing-integrity and corrosion-inspection logging.
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FPSO Léopold Sédar Senghor will be deployed at Woodside’s Sangomar field.
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A recent wave of megadeals is weighing on the mind of many oil and gas executives in Texas, New Mexico, and Louisiana.
