Estimation of rock mass permeability using relaxation time and P‐wave velocity

IF 1.8 3区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Geophysical Prospecting Pub Date : 2024-09-12 DOI:10.1111/1365-2478.13602
Zhicheng Song, Lichao Nie, Zhiqiang Li, Shilei Zhang, Zhaoyang Deng, Yuancheng Li
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引用次数: 0

Abstract

Due to the inherent unpredictability of geological conditions, tunnelling operations are often at risk of encountering water inrushes. Such incidents can lead to construction delays, impose financial strains and pose significant safety threats to the workers involved. Water‐bearing geological formations are the main triggers for such incidents, with factors such as the positioning, water quantity and permeability distribution of these formations being key to predicting the occurrence and severity of water inrush disasters. By leveraging the complex interplay among relaxation time, P‐wave velocity and permeability within the rock's physical properties, a series of indoor tests were conducted on 40 artificial reef limestone cores to extract the necessary parameters. Through the analysis of the data, the comprehensive permeability prediction model was established, and the correlation coefficient was 0.9420 between the model's predictions and actual measurements. At the same time, through theoretical and mechanism analysis, the relationship between permeability and relaxation time and the relationship between permeability and P‐wave velocity were analysed. Finally, 10 natural reef limestone samples were used to verify the accuracy of the model. The prediction model enables an accurate evaluation of tunnel permeability, thus providing a scientific basis for the mitigation of tunnel water inrush hazards.
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利用弛豫时间和 P 波速度估算岩体渗透率
由于地质条件固有的不可预测性,隧道挖掘作业经常会遇到涌水的风险。此类事故可能导致施工延误,造成资金紧张,并对相关工人的安全构成重大威胁。含水地质构造是此类事故的主要诱因,而这些构造的位置、水量和渗透性分布等因素是预测涌水灾害发生和严重程度的关键。利用岩石物理性质中弛豫时间、P 波速度和渗透率之间复杂的相互作用,对 40 个人工岩礁石灰岩岩心进行了一系列室内测试,以提取必要的参数。通过数据分析,建立了综合渗透率预测模型,模型预测值与实际测量值的相关系数为 0.9420。同时,通过理论和机理分析,分析了渗透率与弛豫时间的关系、渗透率与 P 波速度的关系。最后,利用 10 个天然岩礁石灰岩样本验证了模型的准确性。该预测模型可准确评估隧道渗透率,从而为减轻隧道涌水危害提供科学依据。
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来源期刊
Geophysical Prospecting
Geophysical Prospecting 地学-地球化学与地球物理
CiteScore
4.90
自引率
11.50%
发文量
118
审稿时长
4.5 months
期刊介绍: Geophysical Prospecting publishes the best in primary research on the science of geophysics as it applies to the exploration, evaluation and extraction of earth resources. Drawing heavily on contributions from researchers in the oil and mineral exploration industries, the journal has a very practical slant. Although the journal provides a valuable forum for communication among workers in these fields, it is also ideally suited to researchers in academic geophysics.
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