| Issue |
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
|
|
|---|---|---|
| Article Number | 03008 | |
| Number of page(s) | 4 | |
| Section | Geology, Mapping, and Remote Sensing | |
| DOI | https://doi.org/10.1051/e3sconf/202016503008 | |
| Published online | 01 May 2020 | |
A new method for Rayleigh wave inversion by geological unit merging
1 College of Geoscience and Surveying Engineering,China University of Mining and Technology, Beijing, P. R. China
2 China State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Beijing, P. R. China
* Corresponding author: he_dengke@126.com
Rayleigh wave exploration is widely used in engineering investigation due to the advantages of speediness, small attenuation, and strong anti-interference ability. However, it is difficult to get accurate results since the Rayleigh wave inversion is a multi-parameter and high nonlinear problem. During the inversion, the strata over the target layer must be divided into many thin layers. The more thin layers are divided, the more parameters are needed to invert. Usually, the number of parameters is much larger than the actual data points, which makes the inversion an under-determined equation. Actually, the several adjacent thin layers will be the parts of a same geological unit. The paper therefore proposed a new method for Rayleigh wave inverting based on geological unit merging into a super unit. Simultaneously, the Bayesian estimation was introduced to determine if the adjacent thin layers could be merged into larger ones. The synthetic model testing demonstrated that the new method is feasible and can effectively improve the accuracy of the inversion.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.