Research on seismic denoising technology based on improved artificial bee colony algorithm and advance detection with excavation
Aiming at the problem of separation of noise in seismic signal with excavation,a seismic denoising model combining improved artificial bee colony algorithm and independent component analysis was proposed.The model increases the diversity of algorithms by grouping guidance structure,and introduces scale factors and degree coefficients to increase the generalization ability of the model.In the experimental results,the optimal function value of the model on Sphere function decreases from 7 of 5 000 evaluations to-205 of 150 000 evaluations,and the optimal function value on Quartic function converges to-6.The X component,Y component and Z compo-nent of the signal after the improved artificial bee colony denoising,in which the energy characteristics of the component signal are con-sistent with the source characteristics of the advance detection,indicating that the separated signal is close to the source signal.The pro-posed research model can separate and remove noise from seismic signals more effectively,especially demonstrating superior perform-ance in processing complex signals and improving noise suppression capabilities.The results indicate that the research method has sig-nificant advantages in processing complex signals and noise suppression.By introducing a group guided search strategy and a strategy of dynamically updating scale factors and degree coefficients,the adaptability and optimization performance of the algorithm in complex ge-ological scenes are improved,bringing new research ideas for signal denoising.
万方数据
维普
