JPT Newsletter Feed
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Industry observers warn that the future of the UK North Sea hinges less on geology than on whether fiscal stability can be restored.
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Digitalization and advanced analytics have enabled drilling automation that is changing the way wells are executed to deliver more production earlier.
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The company announced that its geothermal system operated for more than 3,000 hours, which it said validates the technology’s commercial potential.
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Two new wells add 15,000 BOE/D of peak capacity to the London-based supermajor's North Sea production profile.
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Jennifer Miskimins shares her vision for the year ahead—rooted in SPE’s new tagline, “Solutions. People. Energy.”—and outlines how the Society can meet growing global energy needs, support members, and shape the industry’s future.
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Three SPE specialty publications are being retired, yet coverage of their respective topics will live on in JPT. The change gives members a single platform for upstream knowledge while streamlining SPE’s publishing operations.
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Each year during its Annual Technical Conference and Exhibition (ATCE), SPE honors members whose outstanding contributions to SPE and the petroleum industry merit special distinction. Recipients will be recognized at the Annual Awards Banquet on 21 October.
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The accelerating deployment of machine learning and automation is changing the artificial lift landscape. By embedding intelligence into the control loop, operators now can move from reactive decision-making to proactive, continuous optimization.
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This paper presents a case study highlighting the demonstration, refinement, and implementation of a machine-learning algorithm to optimize multiple electrical-submersible-pump wells in the Permian Basin.
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This paper presents a closed-loop iterative well-by-well gas lift optimization workflow deployed to more than 1,300 operator wells in the Permian Basin.
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This paper explores the use of machine learning in predicting pump statuses, offering probabilistic assessments for each dynacard, automating real-time analysis, and facilitating early detection of pump damage.