相关实验视频

Updated: Feb 28, 2026

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography
10:18

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography

Published on: February 21, 2017

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一个基于物理的混合ML框架,用于预测碳酸盐水库中的孔隙压力和断裂梯度

Seyed Pouyan Tahvildari1, Soroush Shojaei2, Mohsen Masihi3

  • 1Petroleum Engineering Department, Science and Research Branch, Islamic Azad University (IAU), Tehran, Iran.

Scientific reports
|February 25, 2026
PubMed
概括

这项研究引入了一种基于物理的混合模型,用于在具有挑战性的海上碳酸盐水库中准确预测孔隙压力和断裂梯度. 新的框架显著减少了预测错误,提高了钻探安全性和效率.

关键词:
适应性校准是一种适应性校准.碳酸盐储存库中的碳酸盐.断裂梯度的梯度是如何形成的基于物理的机器学习.孔隙压力是指孔隙压力.不确定性量化不确定性的量化.

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Microfluidic Fabrication Techniques for High-Pressure Testing of Microscale Supercritical CO2 Foam Transport in Fractured Unconventional Reservoirs10:06

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