Interval Prediction of the Permeability of Granite Bodies in a High-Level Radioactive Waste Disposal Site Using LSTM-RNNs and Probability Distribution

Interval Prediction of the Permeability of Granite Bodies in a High-Level Radioactive Waste Disposal Site Using LSTM-RNNs and Probability Distribution

During long-term geological tectonic processes, multiple fractures are often developed in the rock mass of high-level radioactive waste disposal sites, which provide channels for release of radioactive material or radionuclides. Studies on the permeability of fractured rock masses are essential for...

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Bibliographic Details
Main Authors: Nisong Pei, Yong Wu, Rui Su, Xueling Li, Zhenghao Wu, Renhai Li, Heng Yin
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Earth Science
Subjects:
high-level waste disposal
fractured rock mass permeability
machine learning
interval prediction
probability distribution
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2022.835308/full

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