Abstract Thermal conductivity is an important physical property of geological formations. For example, a comprehensive assessment of the thermal conductivity variations in the shallow ground surrounding a heat exchanger borehole can be used to determine the installation parameters of a ground-source heat pump. However, in some locations, it is not possible to measure thermal conductivity directly. One of the most common methods to indirectly infer thermal conductivity is to establish correlations between thermal conductivity and various geophysical parameters. By utilising test data acquired from drilling sites and ascertaining the corresponding geophysical parameters via non-invasive geophysical methods, such correlations can be obtained. At 11 test sites, the thermal conductivities were measured in situ via thermal response testing, and the corresponding values for the S-wave velocity and density were calculated using the Microtremor survey method (MSM). The correlations between the thermal conductivity, S-wave velocity, and density in the tested shallow ground were built by exponential fitting. By utilising the established correlations, two-dimensional (2D) cross-sections along the microtremor survey line were created to illustrate the thermal conductivity variations in the shallow ground. These results demonstrate that this approach can be used to infer the thermal conductivities of areas that cannot be tested directly.

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通过与地球物理参数的相关性表征浅层地层的热导率

摘要 导热系数是地质构造的重要物理性质。例如，对换热器钻孔周围浅层热导率变化的综合评估可用于确定地源热泵的安装参数。但是，在某些位置，无法直接测量热导率。间接推断热导率的最常用方法之一是建立热导率与各种地球物理参数之间的相关性。通过利用从钻井现场获得的测试数据并通过非侵入性地球物理方法确定相应的地球物理参数，可以获得这种相关性。在 11 个测试地点，通过热响应测试在原位测量了热导率，S 波速度和密度的相应值是使用微震调查方法 (MSM) 计算的。通过指数拟合建立了被测浅层的热导率、S 波速度和密度之间的相关性。通过利用已建立的相关性，创建了沿微震测量线的二维 (2D) 横截面，以说明浅层中的热导率变化。这些结果表明，这种方法可用于推断无法直接测试的区域的热导率。通过利用已建立的相关性，创建了沿微震测量线的二维 (2D) 横截面，以说明浅层中的热导率变化。这些结果表明，这种方法可用于推断无法直接测试的区域的热导率。通过利用已建立的相关性，创建了沿微震测量线的二维 (2D) 横截面，以说明浅层中的热导率变化。这些结果表明，这种方法可用于推断无法直接测试的区域的热导率。