整合机器学习以准确预测孔压力在Junggar盆地断层集群形成的断层集群

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Updated: Sep 17, 2025

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
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Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

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Johnson Joachim Kasali1, Jun Li1,2, Hongwei Yang1

  • 1College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China.

ACS omega
|June 30, 2025
PubMed
概括

准确的孔隙压力 (PP) 预测对于安全钻井至关重要. 机器学习模型,特别是深度神经网络,在复杂的,破碎的构成中显著提高了PP预测的准确性.

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