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3-D cross-gradient joint inversion of seismic refraction and DC resistivity data

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posted on 2017-06-15, 15:17 authored by Zhanjie Shi, Richard W. Hobbs, Max Moorkamp, Gang Tian, Lu Jiang
We present a 3-D cross-gradient joint inversion algorithm for seismic refraction and DC resistivity data. The structural similarity between seismic slowness and resistivity models is enforced by a cross-gradient term in the objective function that also includes misfit and regularization terms. A limited memory quasi-Newton approach is used to perform the optimization of the objective function. To validate the proposed methodology and its implementation, tests were performed on a typical archaeological geophysical synthetic model. The results show that the inversion model and physical parameters estimated by our joint inversion method are more consistent with the true model than those from single inversion algorithm. Moreover, our approach appears to be more robust in conditions of noise. Finally, the 3-D cross-gradient joint inversion algorithm was applied to the field data from Lin_an ancient city site in Hangzhou of China. The 3-D cross-gradient joint inversion models are consistent with the archaeological excavation results of the ancient city wall remains. However, by single inversion, seismic slowness model does not show the anomaly of city wall remains and resistivity model does not fit well with the archaeological excavation results. Through these comparisons, we conclude that the proposed algorithm can be used to jointly invert 3-D seismic refraction and DC resistivity data to reduce the uncertainty brought by single inversion scheme.

History

Citation

Journal of Applied Geophysics, 2017, 141, pp. 54-67

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Geology

Version

  • AM (Accepted Manuscript)

Published in

Journal of Applied Geophysics

Publisher

Elsevier

issn

0926-9851

eissn

1879-1859

Acceptance date

2017-04-12

Copyright date

2017

Available date

2018-04-29

Publisher version

http://www.sciencedirect.com/science/article/pii/S092698511630475X

Notes

The file associated with this record is embargoed until 12 months after the date of publication. The final published version may be available through the links above. Following the embargo period the above license applies.

Language

en

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