基于地-孔电阻率成像的土石坝渗漏探测技术及应用

Leakage detection in earth-rock dams using surface-to-borehole resistivity tomography

  • 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】 为此,提出了大坝渗漏的地-孔电阻率探测方法,通过数值模拟分析了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了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】 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 method is an important technique for detecting leakage in reservoir dams. However, when using surface resistivity methods to detect hidden dangers, issues such as blind zones near both abutments and insufficient resolution at depth arise, making it difficult to accurately identify weak areas across the entire dam section.Methods To address these limitations, this study proposes an integrated surface and borehole-based approach for dam seepage detection. Numerical simulations were conducted to analyze the distribution characteristics of surface-to-borehole resistivity under both lateral and vertical variations of seepage zones. Taking Shibi Reservoir Dam as a case study, a surface-to-borehole resistivity observation system was employed to acquire electrode current data, as well as near-surface, cross-borehole, and surface-borehole resistivity information. The reliability of the detection results was validated using borehole data, reservoir water level records, geological profiles, and borehole television imaging. Results The results indicate that as the preset seepage zone moves closer to the dam abutment, the deviation in the depth and central position of the anomaly identified by surface resistivity increases gradually. In contrast, surface-to-borehole resistivity tomography is less affected by the high-resistivity zones in the slope and shows higher consistency with the preset models. Surface resistivity is sensitive to shallow seepage anomalies but struggles to identify deep seepage zones. The surface-to-borehole resistivity inversion clearly reveals targets at different depths and offers strong capability in delineating geological boundaries. During the field test at Shibi Reservoir, surface resistivity indicated an extensive anomalous seepage zone within the dam body but failed to fully capture the seepage range near the abutment. Cross-borehole resistivity improved detection accuracy between boreholes within the dam body, yet its coverage remained limited. In comparison, surface-to-borehole resistivity inversion provided broader spatial coverage, effectively suppressed low-resistivity anomalies in the dam body, reduced the volumetric effect inherent in surface resistivity, and enabled precise delineation of low-resistivity anomalies in deep abutment contact zones.Conclusions This study provides a technical basis for targeted treatment of hidden hazards in reservoir dams and offers new insights into precise diagnosis and intelligent sensing of earth-rock dams.

     

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