1. Center for Geophysical Survey, China Geological Survey, Langfang, 065000, China
2. Technology Innovation Center for Earth Near Surface Detection, China Geological Survey, Langfang, 065000, China
3. School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, 100083, China
4. School of Qilu Transportation , Shandong University, Jinan, 250000, China
5. College of Geophysics, China University of Petroleum (Beijing), Beijing, 102249, China
Abstract：
In Rayleigh wave exploration, the inversion of dispersion curves is a crucial step for obtaining subsurface stratigraphic information, characterized by its multi-parameter and multi-extremum nature. Local optimization algorithms used in dispersion curve inversion are highly dependent on the initial model and are prone to being trapped in local optima, while classical global optimization algorithms often suffer from slow convergence and low solution accuracy. To address these issues, this study introduces the Osprey Optimization Algorithm (OOA), known for its strong global search and local exploitation capabilities, into the inversion of dispersion curves to enhance inversion performance. In noiseless theoretical models, the OOA demonstrates excellent inversion accuracy and stability, accurately recovering model parameters. Even in noisy models, OOA maintains robust performance, achieving high inversion precision under high-noise conditions. In multimode dispersion curve tests, OOA effectively handles higher modes due to its efficient global and local search capabilities, and the inversion results show high consistency with theoretical values. Field data from the Wyoming region in the United States and a landfill site in Italy further verify the practical applicability of the OOA. Comprehensive test results indicate that the OOA outperforms the Particle Swarm Optimization (PSO) algorithm, providing a highly accurate and reliable inversion strategy for dispersion curve inversion.
作者简介: Zhi Li, female, Master of Engineering,Assistant Engineer, graduated in 2024 from Northeast Petroleum University with a master’s degree in Geological Engineering and now works at the Center for Geophysical Survey, China Geological Survey, mainly engaged in research and application of seismic exploration methods.Email: lizhi_812@163.com
2025, Vol. 22 
