Journal of Jilin University(Earth Science Edition) ›› 2020, Vol. 50 ›› Issue (4): 1197-1210.doi: 10.13278/j.cnki.jjuese.20190123

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Correlation Imaging Method with Joint Multiple Gravity Gradiometry Data Based on Depth Weighting

Zheng Yujun1,2, Hou Zhenlong1,2, Gong Enpu1,2, Zhang Yongli1,2   

  1. 1. School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China;
    2. Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang 110819, China
  • Received:2019-06-20 Published:2020-07-29
  • Supported by:
    Supported by National Key R & D Program of China (2017YFC1503100), China Postdoctoral Science Foundation (2017M621151) and Fundamental Research Funds for the Central Universities (N180104020)

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Abstract: Aiming at the problem of low vertical resolution of correlation imaging in gravity exploration, the authors propose a correlation imaging method with joint multiple gravity gradiometry data based on depth weighting. Compared with gravity anomaly, the gravity gradiometry data have a higher signal-to-noise ratio, and contain more frequency information. Combined with multiple tensors of gravity gradiometry data, based on correlation imaging principle, a depth weighting function is introduced with the prior information. Using the theoretical model of the prism combination, the optimal gradiometry data group is determined, and the improvement of the vertical imaging results is verified by depth weighting function. Through dividing research area, the effect of depth weighting is further improved. The proposed method is also proved to be anti-noised. The method is applied to the measured gravity gradiometry data of Vinton Dome, and the results clearly show the location of the cap rock.

Key words: gravity gradiometry data, data combination, depth weighting, correlation imaging

CLC Number: 

  • P631.1
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