Electrical Resistivity Inversion Based on Symmetric Polynomial Constraint

Author:

Sun Qikai12,Li Man1324,Guo Yihao1,Zhang Zhiyong1

Affiliation:

1. State Key Laboratory of nuclear resources and environment, East China University of Technology, Nanchang, 330013, China

2. School of Geophysics and Measurement-control Technology, East China University of Technology, Nanchang, 330013, China

3. Key laboratory of Airborne Geophysics and Remote Sensing Geology, Ministry of Nature Resources Beijing, 100083, China

4. Jiangxi Provincial Research Center on Hydraulic Structures, Nanchang 330029, China

Abstract

As we seek to make geophysical models more consistent with geological models, more and more a priori information is incorporated into geophysical inverse problems. How we make the most use of a priori information is still a key issue in geophysical inversion, particularly for effectively representing such information in inversion problems. To address this problem, we propose a symmetric polynomial constrained inversion algorithm that can represent multiple known physical properties for the lithology. The electrical resistivity synthetic model tests show that the inversion results constrained with symmetric polynomials can make the model resistivity be in line with a priori information and obtain more realistic sharp boundaries. Finally, we give a practical verification of our inversion algorithm with field data.

Publisher

Environmental and Engineering Geophysical Society

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Editors’ Foreword;Journal of Environmental and Engineering Geophysics;2024-03

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