E3S Web Conf.
Volume 236, 20213rd International Conference on Energy Resources and Sustainable Development (ICERSD 2020)
|Number of page(s)||4|
|Section||Green Technology Innovation and Intelligent Application of Environmental Equipment|
|Published online||09 February 2021|
Research on the Improved Least Squares Reverse Time Migration Imaging Method
1 School of Electronic Information, Xi’an Polytechnic University Xi’an 710600 China
2 School of Information and Communications Engineering, Xi’an JiaoTong University, Xi’an 710049, China
3 School of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, China
* Corresponding author: a firstname.lastname@example.org
An improved Least Squares Reverse Time Migration (LSRTM) method is proposed in the paper, which can effectively improve convergence speed and imaging accuracy. Firstly, the key techniques in the implementation of LSRTM are discussed. Secondly, a condition factor is introduced in the iteration process of conjugate gradient method. Finally, the imaging effect and performance of the algorithm are analyzed. The experiment results indicate that it can speed up the convergence speed and improve the convergence accuracy, so as to improve the imaging effect. Compared with the conventional LSRTM, the data residual of improved LSRTM can be reduced by about 5%.
© The Authors, published by EDP Sciences 2021
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.
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