Journal of Jilin University(Earth Science Edition) ›› 2021, Vol. 51 ›› Issue (2): 561-570.doi: 10.13278/j.cnki.jjuese.20200038

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GPR Impedance Inversion of Permittivity Based on Velocity Analysis

Wang Tianqi1, Li Jing1,2, Bai Lige1, Li Jing3, Li Feida4   

  1. 1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China;
    2. Key Laboratory of Geophysical Exploration Equipment, Ministry of Education(Jilin University), Changchun 130026, China;
    3. College of Civil Engineering, Chongqing University, Chongqing 400000, China;
    4. Jilin Geophysics Prospecting Institute, Changchun 130062, China
  • Received:2020-05-19 Published:2021-04-06
  • Supported by:
    Supported by the National Natural Science Foundation of China (41874134), the Foundation for Excellent Young Scho-lars of Jilin Province (20190103142JH), the Youth Talent Project of China Association for Science and Technology (2019QNRC001) and the Technology Development Program of Jilin Province (20200201216JC)

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Abstract: Impedance inversion is an important technique for estimating the parameters of underground media using the relationship between wave impedance and dielectric constant, which is widely used in GPR and post-stack seismic data interpretation. Conventional impedance inversion requires drilling or logging parameters as constraints, which directly affect the estimation accuracy of the final impedance inversion. In the practical application with lack of borehole data, how to carry out GPR impedance inversion is one of the important contents of the method. To solve the above problems, the authors proposed a GPR impedance inversion method based on velocity analysis. The basic idea is to carry out velocity spectrum analysis and Dix inversion based on multiple offset radar data to obtain velocity information of different depths as the constraint term of impedance inversion. At the same time, the K-means method can automatically pick up the velocity spectrum information, so as to greatly reduce the conventional manual picking error and improve the calculation efficiency. Through a typical random soil medium model, it is verified that the method can also obtain better dielectric constant estimation results without drilling data, and can test noise adaptability effectively. Based on the GPR data acquired from Wurtsmith AFB, in Oscoda area, Michigan, the method proposed in this paper has a good application effect in the parameter estimation of GPR measured data.

Key words: K-means velocity analysis, GPR, impedance inversion, constraints, permittivity

CLC Number: 

  • P631
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