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Joint inversion of VES and Rayleigh wave data based on improved DE algorithm for near surface exploration

Benna Hu (Geological Survey Institute, Hebei Institute of Investigation & Design of Water Conservancy & Hydropower Co., Ltd., Tianjin, China)
Laifu Wen (School of Earth Science and Engineering, Hebei University of Engineering, Handan, China)
Xuemei Zhou (Academic Journal Editorial Office, Hebei University of Engineering, Handan, China)

World Journal of Engineering

ISSN: 1708-5284

Article publication date: 6 December 2022

21

Abstract

Purpose

Vertical electrical sounding (VES) and Rayleigh wave exploration are widely used in the exploration of near-surface structure, but both have limitations. This study aims to make full use of the advantages of the two methods, reduce the multiple solutions of single inversion and improve the accuracy of the inversion. Thus, a nonlinear joint inversion method of VES and Rayleigh wave exploration based on improved differential evolution (DE) algorithm was proposed.

Design/methodology/approach

Based on the DE algorithm, a new initialization strategy was proposed. Then, taking AK-type with high-velocity interlayer model and HA-type with low-velocity interlayer model near the surface as examples, the inversion results of different methods were compared and analyzed. Then, the proposed method was applied to the field data in Chengde, Hebei Province, China. The stratum structure was accurately depicted and verified by drilling.

Findings

The synthetic data and field data results showed that the joint inversion of VES and Rayleigh wave data based on the improved DE algorithm can effectively improve the interpretation accuracy of the single-method inversion and had strong stability and large generalizable ability in near-surface engineering problems.

Originality/value

A joint inversion method of VES and Rayleigh wave data based on improved DE algorithm is proposed, which can improve the accuracy of single-method inversion.

Keywords

Acknowledgements

This research was supported by Natural Science Foundation of Hebei Province of China (Grant No. D2020402032, D2020402013), Science and Technology Research and Development Program of Handan (Grant No. 19422121008-40).

Conflict of interest: On behalf of all authors, the corresponding author states that there is no conflict of interest.

Citation

Hu, B., Wen, L. and Zhou, X. (2022), "Joint inversion of VES and Rayleigh wave data based on improved DE algorithm for near surface exploration", World Journal of Engineering, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/WJE-05-2022-0193

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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