Journal of Jilin University(Earth Science Edition) ›› 2018, Vol. 48 ›› Issue (5): 1473-1482.doi: 10.13278/j.cnki.jjuese.20170167

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A Self-Constrained 3D Inversion and Efficient Solution of Gravity Data Based on Cross-Correlation Coefficient

Liang Shengxian   

  1. Chengdu Center, China Geological Survey, Chengdu 610081, China
  • Received:2017-12-31 Published:2018-11-20
  • Supported by:
    Supported by National Key Research and Development Program of China(2016YFC060308) and Project of China Geological Survey(121201010000150007,121201010000150014)

Abstract: In this study, we applied both cross-correlation coefficient from fitting residual and depth weight to the constrained model of regularization gravity inversion to improve the reliability. In our approach, for the solutions in the system linear equations of gravity 3D inversion, damping LSQR algorithm method was introduced. Combined with the equivalent geometric trellis technology, the large matrix was divided into several sub-matrixes for storage and computation according to the model unit. The results of the theoretical model indicate that through the application of the cross-correlation coefficient with the depth weight into the constraint inversion model at the same time, the true anomaly can be clearly reflected. The damping LSQR algorithm method is sufficient for improving thousands or even tens of thousands of times of storage, and for increasing several times of computation rate. Thus, a large scale inversion calculation can be realized on a normal computer. The developed model is applied to the buried granite positioning in Luziyuan area, and the result is consistent with the true situation.

Key words: gravity 3D inversion, cross-correlation coefficient, self-constrained inversion, damping LSQR algorithm, Luziyuan area of Yunnan Province, granite

CLC Number: 

  • P631.1
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