A Dispersive Processing of Borehole Guided Wave Data Using Multitask Physics-Informed Deep Learning

Release time:2026-08-11 Hits:

DOI number:10.1109/TGRS.2025.3642437
Affiliation of Author(s):江苏科技大学
Teaching and Research Group:海洋学院
Journal:IEEE Transactions on Geoscience and Remote Sensing
Place of Publication:美国
Key Words:borehole guided wave; dispersive processing; physics-informed deep learning; multitask learning
Abstract:提出一种用于井孔导波频散处理的多任务物理信息深度学习方法，将不同模式波的物理约束与共享特征学习结合，在噪声和参数变化条件下同时估计频散曲线与地层参数，以提升处理精度、稳定性和泛化能力。
Note:来源：https://doi.org/10.1109/TGRS.2025.3642437
Co-author:Yongxiang Liu, Biqi Zhang, Chengming Luo, Xihao Gu
First Author:Fantong Kong
Indexed by:科研论文
Correspondence Author:Zhen Li
Discipline:Natural Science
First-Level Discipline:Geophysics
Document Type:期刊论文
Volume:63
Page Number:1-13
ISSN No.:0196-2892;1558-0644
Date of Publication:2025-12-11