SPE News
The SPE Drilling Systems Automation Technical Section has a new name—and a bigger mission. Discover how DSATS is evolving beyond automation to drive smarter, more connected, and more human-centered drilling systems for the future.
The ninth annual SPE ATCE Startup Village celebrated some of the most promising emerging technologies in the energy sector, highlighting the entrepreneurial spirit driving innovation in oil, gas, and low-carbon solutions.
The conference focused on solutions, people, and energy—the core of SPE’s commitment to advancing the energy industry.
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SPE welcomes 199 members into the Legion of Honor recognizing 50 years of consecutive membership in the Society. -
In this vodcast and column, Olivier Houzé explores the polarized views among SPE's members about the energy transition, highlighting the geographic and demographic differences. He examines historical perspectives on energy transitions, evaluates future scenarios, and discusses how SPE can adapt its mission to stay relevant.
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This paper proposes a holistic, automatic, and real-time characterization of cuttings/cavings, including their volume, size distribution, and shape/morphology, while integrating 3D data with high-resolution images to pursue this objective for use in the real-time assessment of hole cleaning sufficiency and wellbore stability and, consequently, for the prediction, prev…
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The conference program focused on powering the future of energy with a century of innovation.
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Collaboration and technology will help the industry meet its toughest challenges, experts said during the opening session at ATCE.
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Congratulations to the TWA Energy Influencers! These outstanding young professionals are being celebrated for their work discovering, innovating, and sharing their knowledge, positively influencing and inspiring others.
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The SPE 2024 Annual Report is now live, highlighting SPE’s journey to creating our energy future. Milestones include an overall 7% increase in membership. Notably, student membership has also grown, marking the first increase in this category since 2015.
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This paper presents a novel modeling framework for predicting residual oil saturation in carbonate rocks. The proposed framework uses supervised machine learning models trained on data generated by pore-scale simulations and aims to supplement conventional coreflooding tests or serve as a tool for rapid residual oil saturation evaluation of a reservoir.
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The DOE-sponsored program brings together more than 100 entities from the geothermal and oil and gas sectors to build the future of cross-industry collaboration.
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Join us on 17 September for the virtual launch event of the new SPE Integrated Reservoir Management Technical Section.
