Coal Geology & Exploration
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-borehole resistivity tomography, followed by the analysis of the distribution of surface-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-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-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-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-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.
Keywords
resistivity methods, earth-rock dam, seepage hazard, surface-borehole resistivity tomography, electrode current, parallel resistivity method
DOI
10.12363/issn.1001-1986.25.05.0322
Recommended Citation
TAN Lei, HU Xiongwu, ZHANG Pingsong,
et al.
(2026)
"Surface-borehole resistivity tomography for seepage detection in earth-rock dams,"
Coal Geology & Exploration: Vol. 54:
Iss.
2, Article 19.
DOI: 10.12363/issn.1001-1986.25.05.0322
Available at:
https://cge.researchcommons.org/journal/vol54/iss2/19
Reference
[1] 戴前伟,崔永生,韩行进,等. 流场法探测土石坝渗流矢量分布的有效性分析[J]. 煤田地质与勘探,2021,49(1):270−276.
DAI Qianwei,CUI Yongsheng,HAN Xingjin,et al. Validity analysis of flow field method in detecting seepage vector distribution of earth–rock dam[J]. Coal Geology & Exploration,2021,49(1):270−276.
[2] 马朝阳,任杰,南胜豪,等. 土石堤坝渗漏病险试验装置的研制及初步应用[J]. 岩土工程学报,2023,45(11):2268−2277.
MA Zhaoyang,REN Jie,NAN Shenghao,et al. Development and initial application of test devices for leakage of earth–rockfill dams[J]. Chinese Journal of Geotechnical Engineering,2023,45(11):2268−2277.
[3] 苏怀智,周仁练. 土石堤坝渗漏病险探测模式和方法研究进展[J]. 水利水电科技进展,2022,42(1):1−10.
SU Huaizhi,ZHOU Renlian. Research progress and prospect of earth–rockfill dam leakage detection modes and method[J]. Advances in Science and Technology of Water Resources,2022,42(1):1−10.
[4] 蔡跃波,向衍,盛金保,等. 重大水利工程大坝深水检测及突发事件监测预警与应急处置研究及应用[J]. 岩土工程学报,2023,45(3):441−458.
CAI Yuebo,XIANG Yan,SHENG Jinbao,et al. Deep–water detection,monitoring,early warning and treatment of emergencies of major water conservancy projects:A review[J]. Chinese Journal of Geotechnical Engineering,2023,45(3):441−458.
[5] 周仁练,苏怀智,刘明凯,等. 基于被动红外热成像的土石堤坝渗漏探测试验研究[J]. 水利学报,2022,53(1):54−67.
ZHOU Renlian,SU Huaizhi,LIU Mingkai,et al. Experimental study on leakage detection of earth rockfill dams using passive infrared thermography[J]. Journal of Hydraulic Engineering,2022,53(1):54−67.
[6] 万玲,叶睿,汪满满,等. 基于磁电阻率法的堤坝渗漏路径磁异常分布特征分析[J]. 中南大学学报(自然科学版),2022,53(8):3031−3039.
WAN Ling,YE Rui,WANG Manman,et al. Analysis of magnetic anomaly distribution characteristics caused by seepage path in dam based on magnetometric resistivity[J]. Journal of Central South University (Science and Technology),2022,53(8):3031−3039.
[7] 宋俊磊,周丹,肖国强,等. 面向渗漏探测的堤防磁场分布特性分析[J]. 吉林大学学报(地球科学版),2024,54(4):1362−1372.
SONG Junlei,ZHOU Dan,XIAO Guoqiang,et al. Analysis of magnetic field distribution characteristics of embankment for leakage detection[J]. Journal of Jilin University (Earth Science Edition),2024,54(4):1362−1372.
[8] 张建清,徐磊,李鹏,等. 综合物探技术在大坝渗漏探测中的试验研究[J]. 地球物理学进展,2018,33(1):432−440.
ZHANG Jianqing,XU Lei,LI Peng,et al. Experimental study on comprehensive geophysical prospecting technology in dam leakage detection[J]. Progress in Geophysics,2018,33(1):432−440.
[9] FRANCO L M,LA TERRA E F,PANETTO L P,et al. Integrated application of geophysical methods in Earth dam monitoring[J]. Bulletin of Engineering Geology and the Environment,2024,83(2):62.
[10] 刘国华,王振宇,黄建平. 土的电阻率特性及其工程应用研究[J]. 岩土工程学报,2004,26(1):83−87.
LIU Guohua,WANG Zhenyu,HUANG Jianping. Research on electrical resistivity feature of soil and it’s application[J]. Chinese Journal of Geotechnical Engineering,2004,26(1):83−87.
[11] 赵汉金,江晓益,韩君良,等. 综合物探方法在土石坝渗漏联合诊断中的试验研究[J]. 地球物理学进展,2021,36(3):1341−1348.
ZHAO Hanjin,JIANG Xiaoyi,HAN Junliang,et al. Experimental study on integrated geophysical prospecting method for joint diagnosing leakage in embankment dam[J]. Progress in Geophysics,2021,36(3):1341−1348.
[12] ROBINSON J,JOHNSON T,SLATER L. Challenges and opportunities for fractured rock imaging using 3D cross–borehole electrical resistivity[J]. Geophysics,2015,80(2):E49−E61.
[13] 张平松,胡雄武,吴荣新. 岩层变形与破坏电法测试系统研究[J]. 岩土力学,2012,33(3):952−956.
ZHANG Pingsong,HU Xiongwu,WU Rongxin. Study of detection system of distortion and collapsing of top rock by resistivity method in working face[J]. Rock and Soil Mechanics,2012,33(3):952−956.
[14] 马新民,毛德强,闫利刚,等. 基于跨孔电阻率CT的污染阻隔帷幕性能检测[J]. 环境工程,2023,41(8):188−195.
MA Xinmin,MAO Deqiang,YAN Ligang,et al. Performance assessment of contamination barrier curtain based on cross–borehole electrical resistivity tomography (CT)[J]. Environmental Engineering,2023,41(8):188−195.
[15] 陈亮,颜书法,万昱. 跨孔电法探测地下连续墙渗漏隐患的应用研究[J]. 岩土工程学报,2023,45(8):1605−1614.
CHEN Liang,YAN Shufa,WAN Yu. Application of cross–hole electrical method to detection of the hidden leakage of diaphragm walls[J]. Chinese Journal of Geotechnical Engineering,2023,45(8):1605−1614.
[16] JOHNSON T C,BURGHARDT J,STRICKLAND C,et al. 4D electrical resistivity imaging of stress perturbations induced during high–pressure shear stimulation tests[J]. Geophysical Research Letters,2024,51(10):e2024GL108423.
[17] 刘静,刘盛东,王勃,等. 水岩耦合演化自然电场近源效应与临灾前兆[J]. 煤炭学报,2022,47(3):1286−1295.
LIU Jing,LIU Shengdong,WANG Bo,et al. Near–source effect of natural electric field in water–rock coupling evolution and its imminent disaster precursors[J]. Journal of China Coal Society,2022,47(3):1286−1295.
[18] 黄俊革,阮百尧,王家林,等. 钻井–地表电极联合电阻率观测装置的异常特征研究[J]. 地球物理学报,2009,52(5):1348−1362.
HUANG Junge,RUAN Baiyao,WANG Jialin,et al. A study on anomaly of borehole–to–ground joint resistivity surveying system[J]. Chinese Journal of Geophysics,2009,52(5):1348−1362.
[19] 李宁博,张永恒,聂利超,等. 隧道三维跨孔电阻率超前探测方法及其现场应用研究[J]. 应用基础与工程科学学报,2021,29(5):1140−1155.
LI Ningbo,ZHANG Yongheng,NIE Lichao,et al. Study in 3D cross–hole resistivity ahead prospecting method in tunnel and its field application[J]. Journal of Basic Science and Engineering,2021,29(5):1140−1155.
[20] 胡水根,刘盛东. 电法勘探中并行数据采集与传统数据采集效率的比较研究[J]. 地球物理学进展,2010,25(2):612−617.
HU Shuigen,LIU Shengdong. A comparative study of efficiency about traditional electrical and collateral electrical data collection in electrical prospecting[J]. Progress in Geophysics,2010,25(2):612−617.
[21] 刘盛东,刘静,戚俊,等. 矿井并行电法技术体系与新进展[J]. 煤炭学报,2019,44(8):2336−2345.
LIU Shengdong,LIU Jing,QI Jun,et al. Applied technologies and new advances of parallel electrical method in mining geophysics[J]. Journal of China Coal Society,2019,44(8):2336−2345.
[22] 胡开颜,莫淳淯,张益华,等. 基于自然电位法的滑坡监测实验研究[J]. 地球物理学报,2021,64(12):4582−4593.
HU Kaiyan,MO Chunyu,ZHANG Yihua,et al. An experimental study on monitoring an indoor landslide based on self–potential method[J]. Chinese Journal of Geophysics,2021,64(12):4582−4593.
[23] 何尚富,邓居智,刘遂明,等. 库坝渗漏隐患的自然电场三维正演及时空演化特征[J]. 地球物理学进展,2023,38(6):2392−2408.
HE Shangfu,DENG Juzhi,LIU Suiming,et al. Three–dimensional forward modeling and temporal and spatial evolution characteristics of self–potential field of reservoir dam leakage hidden danger[J]. Progress in Geophysics,2023,38(6):2392−2408.
[24] AHMED A S,REVIL A,STECK B,et al. Self–potential signals associated with localized leaks in embankment dams and dikes[J]. Engineering Geology,2019,253:229−239.
[25] 张平松,欧元超. 煤层采动底板突水物理模拟试验研究进展与展望[J]. 煤田地质与勘探,2024,52(6):44−56.
ZHANG Pingsong,OU Yuanchao. Physical simulation experiments on mining–induced water inrushes from coal seam floors:Advances in research and prospects[J]. Coal Geology & Exploration,2024,52(6):44−56.
[26] 岳建华,滕小振,胡双贵,等. 基于孔间直流电透视的煤层底板采动破坏电阻率时移变化规律与机理[J]. 煤炭学报,2024,49(1):601−615.
YUE Jianhua,TENG Xiaozhen,HU Shuanggui,et al. Time–lapse change pattern and mechanism of resistivity of coal seam floor mining damage based on inter–hole DC perspective[J]. Journal of China Coal Society,2024,49(1):601−615.
[27] MORELLI G,LABRECQUE D. Advances in ERT inverse modeling[J]. European Journal of Environmental and Engineering Geophysics,1996,1(2):171−186.
[28] 吴荣新,张卫,张平松. 并行电法监测工作面“垮落带”岩层动态变化[J]. 煤炭学报,2012,37(4):571−577.
WU Rongxin,ZHANG Wei,ZHANG Pingsong. Exploration of parallel electrical technology for the dynamic variation of caving zone strata in coal face[J]. Journal of China Coal Society,2012,37(4):571−577.
[29] 孙强,刘盛东,姜春露,等. 砂岩地层渗流过程非饱和厚度变化的地电测试[J]. 岩土工程学报,2013,35(7):1350−1354.
SUN Qiang,LIU Shengdong,JIANG Chunlu,et al. Electric response tests on unsaturated layer thickness in course of seepage of sandstone[J]. Chinese Journal of Geotechnical Engineering,2013,35(7):1350−1354.
[30] 王刚,周启友,吴世艳,等. 二维孔间电阻率成像中钻孔效应[J]. 地球物理学进展,2011,26(1):311−319.
WANG Gang,ZHOU Qiyou,WU Shiyan,et al. Borehole effects of two–dimensional cross–borehole ERT[J]. Progress in Geophysics,2011,26(1):311−319.
[31] SERVOS M,POWER C. Improved ERT imaging with 3–D surface–to–horizontal borehole configurations:Relevance to dense non–aqueous phase liquids[J]. Geophysical Journal International,2024,237(1):389−401.
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