煤田地质与勘探2025，Vol.53Issue(4)：213-221,9.DOI:10.12363/issn.1001-1986.24.11.0702
基于改进粒子群算法的SOTEM电场分量Ex反演
Inversion of electric field component Ex in the SOTEM method based on the improved particle swarm optimization algorithm
摘要
Abstract
[Objective]The inversion of the horizontal electric field component in the grounded-source short offset tran-sient electromagnetic(SOTEM)method using traditional algorithms is prone to fall into local extrema.To address this challenge,this study proposed an improved particle swarm optimization(PSO)algorithm that integrates the center of gravity reverse learning strategy.[Methods]Based on the center of gravity reverse learning strategy,the improved PSO algorithm can dynamically adjust learning factors and the value of the adaptive inertia weight,thus improving the global search capability and convergence efficiency effectively.The performance of the improved PSO algorithm was verified using the typical three-,five-,and seven-layered geoelectric models constructed in this study.[Results and Conclu-sions]The results of this study indicate that for the five-and seven-layered geoelectric models,the damped least squares method yielded average inversion errors of 0.34%and 4.68%,respectively,while the improved PSO algorithm yielded average inversion errors of 0.21%and 0.87%,respectively.This suggests that the improved PSO algorithm significantly improved the identification accuracy of complex geoelectric structures.Under the conditions of multi-layer(≥5)initial inversion intervals and wide search intervals,the improved PSO algorithm yielded average inversion errors of less than 5%for both three-and five-layered geoelectric models,substantiating its effectiveness.Inversion was conducted for the measured data from a certain mining area using the damped least squares method and the improved PSO algorithm.The inversion results demonstrate that the improved PSO algorithm outperformed the damped least squares method,with the inversion results of the improved PSO algorithm agreeing well with the electrical structure of the known ore body.The results of this study will provide theoretical support for improving the resolution of SOTEM in mineral exploration.关键词
电性源短偏移距瞬变电磁法/粒子群算法/反演/电场分量ExKey words
grounded-source short-offset transient electromagnetic(SOTEM)method/particle swarm optimization(PSO)algorithm/inversion/electric field component Ex分类
天文与地球科学引用本文复制引用
张继锋,陈昌涧,李宇腾,游希然,马子奔..基于改进粒子群算法的SOTEM电场分量Ex反演[J].煤田地质与勘探,2025,53(4):213-221,9.基金项目
国家自然科学基金项目(42174168) （42174168）
陕西省自然科学基础研究计划项目青年基金项目(2024JC-YBQN-0331) （2024JC-YBQN-0331）
中煤科工西安研究院(集团)有限公司科技创新基金项目(2024XAYKF01) （集团）
