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Milad Mohammadi1, Mohammad Emami Niri2, Abbas Bahroudi1

  • 1School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran.

Scientific reports
|August 21, 2025
PubMed
概括

本研究将多分辨率图形基集群 (MRGC) 与电区指标 (EZI) 方法相结合,以提高复杂碳酸盐水库的形成电阻因子 (FRF) 预测. 这种新方法显著提高了岩石类型的准确性和水库的特征.

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