Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, No. 19, Beitucheng Western Road, Chaoyang District, Beijing, 100029, People's Republic of China.
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China.
Sci Rep. 2021 Dec 8;11(1):23683. doi: 10.1038/s41598-021-03217-8.
Rock mass quality evaluation is a challenging task in geotechnical investigations given the natural heterogeneity and the limited data. These investigations mainly depend on the traditional drilling tests. However, such tests are expensive and time consuming, provide point measurements, and cannot be conducted in steep topographic areas, and thus cause uncertainties in the geological model. Conversely, geophysical methods such as electrical resistivity tomography (ERT) are non-invasive, user-friendly, and fast. In this work, we establish empirical correlation between ERT and limited drilling data to obtain rock mass integrity coefficient (Kv). The estimated Kv provides 2D/3D imaging of the rock mass quality evaluation via weathered/unweathered rock and faults detection in order to cover the entire area even where no drilling test exists. Compared with the past geotechnical investigations, our work reduce the ambiguities caused by the inadequate well tests and provide more accurate geological model for infrastructures design. Our work proposes that, in case of sparse borehole data, the established empirical equations can be used to determine Kv along different geophysical profiles via 2D/3D insight of the subsurface. Our approach is applicable in any hard rock setting, and the established correlations can be used in areas even where no well test exists.
岩体质量评价是岩土工程勘察中的一项具有挑战性的任务,因为岩体具有天然的非均质性和有限的数据。这些调查主要依赖于传统的钻探试验。然而,这些测试昂贵且耗时,只能提供点测量,并且不能在陡峭的地形区域进行,因此在地质模型中会产生不确定性。相比之下,地球物理方法(如电阻率层析成像(ERT))是非侵入性的、用户友好的、快速的。在这项工作中,我们建立了 ERT 与有限的钻探数据之间的经验相关性,以获得岩体完整性系数(Kv)。估计的 Kv 通过风化/未风化岩石和断层检测提供 2D/3D 成像,以覆盖整个区域,即使在没有钻探测试的地方。与过去的岩土工程调查相比,我们的工作减少了由于井测试不足而引起的不确定性,并为基础设施设计提供了更准确的地质模型。我们的工作表明,在钻孔数据稀疏的情况下,可以使用建立的经验方程通过对地下的 2D/3D 洞察来确定不同地球物理剖面的 Kv。我们的方法适用于任何坚硬岩石环境,并且可以在没有井测试的区域使用建立的相关性。