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不同数据处理方法在高密度电法水库渗漏成像中的应用 被引量:6

Application Analysis of Different Data Processing Methods in High Density Electrical Reservoir Leakage Resistivity Imaging
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摘要 为降低自然界随机噪声对地电场数据的干扰,在数据可视化表达的过程中,采用合理的数字滤波技术是提升对兴趣异常可靠识别的重要手段,但如何寻求最优化的插值及滤波方法成为数据处理的关键。以小型水库渗漏探测为例,考虑到大坝硬化、游离电流以及系统噪声等的随机干扰,从图像的视角分析了不同插值技术的差异性,并提出对网格化数据进行滤波处理,探讨了滤波方法、网格大小以及迭代次数对成图的影响。结果表明,自然邻点法和克里金法,较适合土石坝隐患的电阻率成像;低通滤波技术能有效压制随机噪声的干扰,提高图像的平滑度;不同的滤波技术具有一定的差异性,在数据处理中优先采用滑动平均滤波;滑动平均滤波中滤波器尺寸行列均为7,迭代次数为4,图像显示效果最佳。结果表明,综合多种处理方法能够有效改善电阻率成像效果,为水库渗漏隐患的表达提供技术支撑。 In order to reduce the interference of natural random noise on geo-electric field data,reasonable digital filtering technology is an important means to improve the reliable identification of abnormal interest in the process of data visualization.But how to find the optimal interpolation and filtering method stays weak in data processing.Taking the leakage detection of small reservoirs as an example,considering the random interference of dam hardening,free current and system noise,the differences of different interpolation techniques are analyzed from the perspective of image.And the mesh data is proposed to filter.The influence of filtering method,mesh size and iteration number on the mapping is discussed.The results show that the natural adjacent point method and Kriging method are more suitable for the resistivity imaging of the hidden danger of earth-rock dam.The low-pass filtering technology can effectively suppress the interference of random noise and improve the smoothness of the image.Different filtering techniques bring some different results.Moving average filtering is preferred in data processing.In the moving average filtering,the filter size row counts 7,and the iteration times records 4,and the image display effect is the best.The results show that the combination of multiple treatments can effectively improve the quality of resistivity imaging and provide technical support for the expression of potential reservoir leakage.
作者 李进 王小明 谭磊 Li Jin;Wang Xiaoming;Tan Lei(Nanjing Water Planning and Design Institute Corp., Ltd, Nanjing Jiangsu 210022, China;JSTI Group, Nanjing Jiangsu 210000, China;Zhejiang Institute of Hydraulics & Estuary (Zhejiang Institute of Marine Planning and Design), Hangzhou Zhejiang 310020, China;Key Laboratory of Hydraulic Disaster Prevention and Mitigation of Zhejiang Province, Hangzhou Zhejiang 310020, China)
出处 《工程地球物理学报》 2022年第2期141-148,共8页 Chinese Journal of Engineering Geophysics
基金 浙江省基础公益研究计划项目(编号:LGF20D040001) 浙江省水利科技项目(编号:RB1901) 浙江省省属科研院所扶持项目(编号:ZIHEA20001) 浙江省水利河口研究院院长基金项目(编号:岩土A19002)。
关键词 土石坝 渗漏隐患 高密度电法 网格化插值 滤波 embankment dam leakage detection high density resistivity method gridding methods grid filter
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