Testing page for app
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This section lists with regret SPE members who recently passed away.
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From optimizing drilling performance to enhancing worker safety, computer vision can change how the industry works.
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The “Oil in WW2” study was conducted in preparation for the 2024 SPE Annual Technical Conference and Exhibition in New Orleans. From November 2023 to July 2024, the authors led a small team to complete the study, which is presented on 17 freestanding panels available for display at SPE events and educational institutions.
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This paper proposes a methodology for preventing drillstring fatigue and failure in deep wells with large shallow doglegs.
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The authors of this paper present a novel joint-domain full waveform inversion framework optimizing travel-time accuracy in both data and model domains.
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The main goal of this research work was to determine subseismic faults and fracture corridors and their characteristics, including density and orientation, for a Paleocene fractured carbonate reservoir.
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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 January and February papers are available now.
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The authors make the case that data science captures value in well construction when data-analysis methods, such as machine learning, are underpinned by first principles derived from physics and engineering and supported by deep domain expertise.
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The authors write that, by wireline formation testing of a sandstone formation adjacent to a sand/shale laminated reservoir in the Weizhou shale-oil region of the Beibu Gulf, key reservoir information can be directly obtained.