Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/39914
Title: 3-D cross-gradient joint inversion of seismic refraction and DC resistivity data
Authors: Shi, Zhanjie
Hobbs, Richard W.
Moorkamp, Max
Tian, Gang
Jiang, Lu
First Published: 29-Apr-2017
Publisher: Elsevier
Citation: Journal of Applied Geophysics, 2017, 141, pp. 54-67
Abstract: 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.
DOI Link: 10.1016/j.jappgeo.2017.04.008
ISSN: 0926-9851
eISSN: 1879-1859
Links: http://www.sciencedirect.com/science/article/pii/S092698511630475X
http://hdl.handle.net/2381/39914
Embargo on file until: 29-Apr-2018
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © the authors, 2017. This article is distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/ ), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Description: 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.
Appears in Collections:Published Articles, Dept. of Geology

Files in This Item:
File Description SizeFormat 
paper_ZhanjieShi.pdfPost-review (final submitted author manuscript)3.97 MBAdobe PDFView/Open


Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.