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    中国百强科技报刊

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    中国高校百佳科技期刊

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    Volume 51 Issue 7
    Jul.  2026
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    Article Contents
    Yu Rongze, Zou Caineng, Zhao Qun, Zhang Xiaowei, Chen Yanpeng, Dong Dazhong, Zhao Suping, Sun Qinping, Wang Xin, 2026. Shale Revolution in North America and Its Implications: A Data-Drive Analysis of Bakken Shale Play. Earth Science, 51(7): 2838-2853. doi: 10.3799/dqkx.2026.161
    Citation: Yu Rongze, Zou Caineng, Zhao Qun, Zhang Xiaowei, Chen Yanpeng, Dong Dazhong, Zhao Suping, Sun Qinping, Wang Xin, 2026. Shale Revolution in North America and Its Implications: A Data-Drive Analysis of Bakken Shale Play. Earth Science, 51(7): 2838-2853. doi: 10.3799/dqkx.2026.161

    Shale Revolution in North America and Its Implications: A Data-Drive Analysis of Bakken Shale Play

    doi: 10.3799/dqkx.2026.161
    • Received Date: 2026-01-20
    • Publish Date: 2026-07-25
    • Based on full-lifecycle big data from nearly 26 000 horizontal wells, and using mathematical statistics, random forest, and Pareto multi-objective optimization, this study reveals the synergistic evolution between engineering technologies and development performance in the Bakken shale play. Continuous iteration of engineering parameters extended the lateral length from 2 072 m to 3 553 m, increased proppant intensity from 0.29 t/m to 1.54 t/m, and reduced the drilling cycle to 50 d. As a result, the estimated ultimate recovery (EUR) per well doubled to 10.6×104 t, while the drilling and fracturing cost per unit oil equivalent dropped from 89 USD/t to 45 USD/t, creating a significant "rising production, falling cost" beneficial scissors gap. Based on big-data patterns, we establish for the first time a "true vertical depth vs. water-to-vertical ratio" chart and a "true vertical depth vs. lateral length vs. proppant intensity" three-dimensional collaborative optimization chart, quantifying parameter adaptation intervals for deep, high-brittleness shale oil development. This study provides a quantifiable technical paradigm for China's continental shale oil to overcome development bottlenecks and transition from an experience-driven to a digital intelligence-driven approach.

       

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