孔凡童
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- Supervisor of Master's Candidates
- E-Mail:
- School/Department:电子信息与电气工程学院
- Education Level:With Certificate of Graduation for Doctorate Study
- Degree:Doctoral Degree in Engineering
- Alma Mater:中国石油大学（华东）
- Teacher College:电子信息与电气工程学院
- Paper Publications
A physics-informed deep learning method for dispersive processing of borehole dipole wave data using synthetic dataset
Release time:2026-08-11 Hits:
- DOI number:10.1016/j.geoen.2026.214383
- Affiliation of Author(s):江苏科技大学
- Teaching and Research Group:海洋学院
- Journal:Geoenergy Science and Engineering
- Place of Publication:荷兰
- Key Words:dipole acoustic logging; dispersion processing; physics-informed deep learning; synthetic dataset; shear slowness
- Abstract:面向偶极声波测井频散处理在低频噪声下不稳定的问题，利用参数化解析函数快速生成大规模合成数据，并将注意力增强网络与物理约束损失结合。该方法用于估计地层横波慢度并保持频散曲线的物理一致性。
- Note:来源：https://doi.org/10.1016/j.geoen.2026.214383
- Co-author:Yongxiang Liu, Biqi Zhang, Chengming Luo, Xihao Gu
- First Author:Fantong Kong
- Indexed by:科研论文
- Discipline:Natural Science
- First-Level Discipline:Geophysics
- Document Type:期刊论文
- Volume:260
- Page Number:214383
- ISSN No.:2949-8910
- Date of Publication:2026-05-01