物探化探计算技术2025，Vol.47Issue(5)：707-716,10.DOI:10.12474/wthtjs.20240902-0001
改进小波阈值算法在井地电磁法物理模拟信号处理中的应用
Application of improved wavelet threshold algorithm in processing physical simulation signal of borehole-to-surface electromagnetic method
摘要
Abstract
The borehole-to-surface electromagnetic method holds significant potential in deep earth exploration,hydrocarbon reservoir delineation,reservoir distribution studies,and dynamic monitoring of oil well water or slurry injection.However,field-acquired BSEM data are often contaminated by random noise,which complicates data interpretation.To address the limitations of traditional wavelet denoising methods,this paper proposes a hybrid wavelet denoising approach based on the Generalized Cross-Validation(GCV)criterion and Grey Wolf Optimizer(GWO).Through simulation experiments and validation using physical simulation data with added 50 Hz power frequency noise,the proposed method significantly improves the signal-to-noise ratio(SNR)and reduces the mean square error(MSE).It effectively removes noise while preserving signal characteristics,thereby enhancing the accuracy and reliability of Borehole-to-surface electromagnetic data interpretation.关键词
井地电磁法/物理模拟实验数据/广义交叉验证/灰狼优化算法/小波阈值去噪Key words
Borehole-to-surface electromagnetic method/physical simulation experiment data/general cross validation(GCV)/gray wolf optimization(GWO)/wavelet threshold denoising分类
天文与地球科学引用本文复制引用
刘永雷,彭媛慧,曹辉,程明华,段野,米小利,杨云见..改进小波阈值算法在井地电磁法物理模拟信号处理中的应用[J].物探化探计算技术,2025,47(5):707-716,10.基金项目
国家重点研发计划课题(2024ZD1000206) （2024ZD1000206）
四川省自然科学基金重点项目(2025ZNSFSC0026) （2025ZNSFSC0026）
