基于地−孔电阻率成像的土石坝渗漏探测技术及应用

A seepage detection technique for earth-rock dams based on surface-to-borehole resistivity tomography and its application

  • 摘要:
    目的 电阻率法是水库堤坝渗漏探测的重要手段,但地表电阻率法探测隐患时存在两坝肩盲区与深部分辨率不足等问题,难以精准捕捉全坝段的薄弱区。
    方法 提出大坝渗漏的地−孔电阻率探测方法,通过数值模拟分析渗漏区在横向与垂向变化过程中的地−孔电阻率分布特征。以石壁水库大坝为例,利用地−孔电阻率观测系统获取电极电流以及近地表、跨孔、地−孔电阻率信息,并结合钻孔资料、库水位、地质剖面和钻孔电视验证探测结果的可靠性。
    结果和结论 随着预设渗漏区逐渐靠近坝肩山体,地表电阻率反映出的异常体深度与中心位置偏差逐渐增大,而地−孔电阻率成像受岸坡山体高阻区影响较小,探测结果与预设模型吻合较好;地表电阻率对浅部渗漏异常较为敏感,但随着深度增加,难以识别深部渗漏区,地−孔电阻率反演结果能清晰揭示不同深度的目标体,并对山体边界具有较强的刻画能力;在石壁水库渗漏区探测试验中,地表电阻率反映出的坝体段渗漏异常范围较大,难以全面揭示坝肩渗漏区,跨孔电阻率提高了钻孔间坝体段的探测精度,但覆盖范围有限,地−孔电阻率反演剖面勘探范围广,有效压制了坝体段的低阻异常,有助于降低地表电阻率的体积效应,实现对深部坝肩接触带低阻异常的精细圈定,为水库大坝隐患的定向处置提供了技术依据,也为土石坝的精准诊断与智能感知提供了新思路。

     

    Abstract:
    Objective Resistivity methods allow for effective detection of seepage in reservoir dams. However, when used to detect the hidden hazards of dams, the surface resistivity method fails to accurately identify vulnerable areas across an entire dam due to blind spots near both dam abutments and insufficient resolutions for deep parts.
    Methods This study proposed a seepage detection technique for earth-rock dams based on surface-to-borehole resistivity tomography, followed by the analysis of the distribution of surface-to-borehole resistivity under the lateral and vertical variations in a seepage zone through numerical simulations. This technique was applied to the Shibi reservoir dam. Using the surface-to-borehole resistivity observation system, this study determined electrode current in the dam, as well as the near-surface, cross-borehole, and surface-to-borehole resistivity. Furthermore, the reliability of the detection results was verified in combination with drilling data, reservoir water levels, geological sections, and borehole televiewer images.
    Results and conlusions The results indicate that, as the preset seepage zone gradually approached the dam abutment, the surface resistivity method yielded progressively increased deviations in the depth and central location of the anomaly zone. In contrast, the surface-to-borehole resistivity tomography was slightly influenced by the high-resistivity zones of mountains on the bank slope, yielding detection results aligning well with the preset models. Despite being sensitive to shallow seepage anomalies, the surface resistivity method was insufficient to identify deep seepage zones. In contrast, the surface-to-borehole resistivity tomography revealed distinct targets at varying depths while also enabling effective characterization of mountain boundaries. In the seepage detection tests of the Shibi reservoir dam, the surface resistivity reflected a wide range of seepage anomalies along the dam body but failed to comprehensively capture seepage zones near the abutments. Although cross-borehole resistivity exhibited improved accuracy in the seepage detection of the dam body between boreholes, it showed limited coverage. In comparison, the inversion-derived surface-to-borehole resistivity sections provided broader exploration ranges while also effectively suppressing the low-resistivity anomalies of the dam body. This helps reduce the volumetric effect of surface resistivity, allowing for the precise delineation of low-resistivity anomalies in deep dam-abutment contact zones. Overall, the results of this study provide a technical basis for the targeted elimination of hidden hazards in reservoir dams and offer a new philosophy for the precise diagnosis and intelligent perception of earth-rock dams.

     

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